new research topics in linguistics

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Trends and hot topics in linguistics studies from 2011 to 2021: A bibliometric analysis of highly cited papers

Associated data.

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ supplementary material .

High citations most often characterize quality research that reflects the foci of the discipline. This study aims to spotlight the most recent hot topics and the trends looming from the highly cited papers (HCPs) in Web of Science category of linguistics and language & linguistics with bibliometric analysis. The bibliometric information of the 143 HCPs based on Essential Citation Indicators was retrieved and used to identify and analyze influential contributors at the levels of journals, authors, and countries. The most frequently explored topics were identified by corpus analysis and manual checking. The retrieved topics can be grouped into five general categories: multilingual-related , language teaching , and learning related , psycho/pathological/cognitive linguistics-related , methods and tools-related , and others . Topics such as bi/multilingual(ism) , translanguaging , language/writing development , models , emotions , foreign language enjoyment (FLE) , cognition , anxiety are among the most frequently explored. Multilingual and positive trends are discerned from the investigated HCPs. The findings inform linguistic researchers of the publication characteristics of the HCPs in the linguistics field and help them pinpoint the research trends and directions to exert their efforts in future studies.

1. Introduction

Citations, as a rule, exhibit a skewed distributional pattern over the academic publications: a few papers accumulate an overwhelming large citations while the majority are rarely, if ever, cited. Correspondingly, the highly cited papers (HCPs) receive the greatest amount of attention in the academia as citations are commonly regarded as a strong indicator of research excellence. For academic professionals, following HCPs is an efficient way to stay current with the developments in a field and to make better informed decisions regarding potential research topics and directions to exert their efforts. For academic institutions, government and private agencies, and generally the science policy makers, they keep a close eye on and take advantage of this visible indicator, citations, to make more informed decisions on research funding allocation and science policy formulation. Under the backdrop of ever-growing academic outputs, there is noticeable attention shift from publication quantity to publication quality. Many countries are developing research policies to identify “excellent” universities, research groups, and researchers ( Danell, 2011 ). In a word, HCPs showcase high-quality research, encompass significant themes, and constitute a critical reference point in a research field as they are “gold bullion of science” ( Smith, 2007 ).

2. Literature review

Bibliometrics, a term coined by Pritchard (1969) , refers to the application of mathematical methods to the analysis of academic publications. Essentially this is a quantitative method to depict publication patterns within a given field based on a body of literature. There are many bibliometric studies on natural and social sciences in general ( Hsu and Ho, 2014 ; Zhu and Lei, 2022 ) and on various specific disciplines such as management sciences ( Liao et al., 2018 ), biomass research ( Chen and Ho, 2015 ), computer sciences ( Xie and Willett, 2013 ), and sport sciences ( Mancebo et al., 2013 ; Ríos et al., 2013 ), etc. In these studies, researchers tracked developments, weighed research impacts, and highlighted emerging scientific fronts with bibliometric methods. In the field of linguistics, bibliometric studies all occurred in the past few years ( van Doorslaer and Gambier, 2015 ; Lei and Liao, 2017 ; Gong et al., 2018 ; Lei and Liu, 2018 , 2019 ). These bibliometric studies mostly examined a sub-area of linguistics, such as corpus linguistics ( Liao and Lei, 2017 ), translation studies ( van Doorslaer and Gambier, 2015 ), the teaching of Chinese as a second/foreign language ( Gong et al., 2018 ), academic journals like System ( Lei and Liu, 2018 ) or Porta Linguarum ( Sabiote and Rodríguez, 2015 ), etc. Although Lei and Liu (2019) took the entire discipline of linguistics under investigation, their research is exclusively focused on applied linguistics and restricted in a limited number of journals (42 journals in total), leaving publications in other linguistics disciplines and qualified journals unexamined.

Over the recent years, a number of studies have been concerned with “excellent” papers or HCPs. For example, Small (2004) surveyed the HCPs authors’ opinions on why their papers are highly cited. The strong interest, the novelty, the utility, and the high importance of the work were among the most frequently mentioned. Most authors also considered that their selected HCPs are indeed based on their most important work in their academic career. Aksnes (2003) investigated the characteristics of HCPs and found that they were generally authored by a large number of scientists, often involving international collaboration. Some researchers even attempted to predict the HCPs by building mathematical models, implying “the first mover advantage in scientific publication” ( Newman, 2008 , 2014 ). In other words, papers published earlier in a field generally are more likely to accumulate more citations than those published later. Although many papers addressed HCPs from different perspectives, they held a common belief that HCPs are very different from less or zero cited papers and thus deserve utmost attention in academic research ( Aksnes, 2003 ; Blessinger and Hrycaj, 2010 ; Yan et al., 2022 ).

Although an increased focus on research quality can be observed in different fields, opinions diverge on the range and the inclusion criterion of excellent papers. Are they ‘highly cited’, ‘top cited’, or ‘most frequently cited’ papers? Aksnes (2003) noted two different approaches to define a highly cited article, involving absolute or relative thresholds, respectively. An absolute threshold stipulates a minimum number of citations for identifying excellent papers while a relative threshold employs the percentile rank classes, for example, the top 10% most highly cited papers in a discipline or in a publication year or in a publication set. It is important to note that citations differ significantly in different fields and disciplines. A HCP in natural sciences generally accumulates more citations than its counterpart in social sciences. Thus, it is necessary to investigate HCPs from different fields separately or adopt different inclusion criterion to ensure a valid comparison.

The present study has been motivated by two considerations. First, the sizable number of publications of varied qualities in a scientific field makes it difficult or even impossible to conduct any reliable and effective literature research. Focusing on the quality publications, the HCPs in particular, might lend more credibility to the findings on trends. Second, HCPs can serve as a great platform to discover potentially important information for the development of a discipline and understand the past, present, and future of the scientific structure. Therefore, the present study aims to investigate the hot topics and publication trends in the Web of Science category of linguistics or language & linguistics (shortened as linguistics in later references) with bibliometric methods. The study aims to answer the following three questions:

• Who are the most productive and impactful contributors of the HCPs in WoS category of linguistics or language & linguistics in terms of publication venues, authors, and countries?
• What are the most frequently explored topics in HCPs?
• What are the general research trends revealed from the HCPs?

3. Materials and methods

Different from previous studies which used an arbitrary inclusion threshold (e.g., Blessinger and Hrycaj, 2010 ; Hsu and Ho, 2014 ), we rely on Essential Science Indicator (ESI) to identify the HCPs. Developed by Clarivate, a leading company in the areas of bibliometrics and scientometrics, ESI reveals emerging science trends as well as influential individuals, institutions, papers, journals, and countries in any scientific fields of inquiry by drawing on the complete WoS databases. ESI has been chosen for the following three reasons. First, ESI adopts a stricter inclusion criterion for HCPs identification. That is, a paper is selected as a HCP only when its citations exceed the top 1% citation threshold in each of the 22 ESI subject categories. Second, ESI is widely used and recognized for its reliability and authority in identifying the top-charting work, generating “excellent” metrics including hot and highly cited papers. Third, ESI automatically updates its database to generate the most recent HCPs, especially suitable for trend studies for a specified timeframe.

3.1. Data source

The data retrieval was completed at the portal of our university library on June 20, 2022. The methods to retrieve the data are described in Table 1 . The bibliometric indicators regarding the important contributors at journal/author/country levels were obtained. Specifically, after the research was completed, we clicked the “Analyze Results” bar on the result page for the detailed descriptive analysis of the retrieved bibliometric data.

Retrieval strategies.

Several points should be noted about the search strategies. First, we searched the bibliometric data from two sub-databases of WoS core collection: Social Science Citation Index (SSCI) and Arts & Humanities Citation Index (A&HCI). There is no need to include the sub-database of Science Citation Index Expanded (SCI-EXPANDED) because publications in the linguistics field are almost exclusively indexed in SSCI and A&HCI journals. WoS core collection was chosen as the data source because it boasts one of the most comprehensive and authoritative databases of bibliometric information in the world. Many previous studies utilized WoS to retrieve bibliometric data. van Oorschot et al. (2018) and Ruggeri et al. (2019) even indicated that WoS meets the highest standards in terms of impact factor and citation counts and hence guarantees the validity of any bibliometric analysis. Second, we do not restrict the document types as HCPs selection informed by ESI only considers articles and reviews. Third, we do not set the date range as the dataset of ESI-HCPs is automatically updated regularly to include the most recent 10 years of publications.

The aforementioned query obtained a total of 143 HCPs published in 48 journals contributed by 352 authors of 226 institutions. We then downloaded the raw bibliometric parameters of the 143 HCPs for follow-up analysis including publication years, authors, publication titles, countries, affiliations, abstracts, citation reports, etc. A complete list of the 143 HCPs can be found in the Supplementary Material . We collected the most recent impact factor (IF) of each journal from the 2022 Journal Citation Reports (JCR).

3.2. Data analysis

3.2.1. citation analysis.

A citation threshold is the minimum number of citations obtained by ranking papers in a research field in descending order by citation counts and then selecting the top fraction or percentage of papers. In ESI, the highly cited threshold reveals the minimum number of citations received by the top 1% of papers from each of the 10 database years. In other words, a paper has to meet the minimum citation threshold that varies by research fields and by years to enter the HCP list. Of the 22 research fields in ESI, Social Science, General is a broad field covering a number of WoS categories including linguistics and language & linguistics . We checked the ESI official website to obtain the yearly highly cited thresholds in the research field of Social Science , General as shown in Figure 1 ( https://esi.clarivate.com/ThresholdsAction.action ). As we can see, the longer a paper has been published, the more citations it has to receive to meet the threshold. We then divided the raw citation numbers of HCPs with the Highly Cited Thresholds in the corresponding year to obtain the normalized citations for each HCP.

Highly cited thresholds in the research field of Social Sciences, General.

3.2.2. Corpus analysis and manual checking

To determine the most frequently explored topics in these HCPs, we used both corpus-based analysis of word frequency and manual checking. Specifically, the more frequently a word or phrase occurs in a specifically designed corpus, the more likely it constitutes a research topic. In this study, we built an Abstract corpus with all the abstracts of the 143 HCPs, totaling 24,800 tokens. The procedures to retrieve the research topics in the Abstract corpus were as follows. First, the 143 pieces of abstracts were saved as separate .txt files in one folder. Second, AntConc ( Anthony, 2022 ), a corpus analysis tool for concordancing and text analysis, was employed to extract lists of n-grams (2–4) in decreasing order of frequency. We also generated a list of individual nouns because sometimes individual nouns can also constitute research topics. Considering our small corpus data, we adopted both frequency (3) and range criteria (3) for topic candidacy. That is, a candidate n-gram must occur at least 3 times and in at least 3 different abstract files. The frequency threshold guarantees the importance of the candidate topics while the range threshold guarantees that the topics are not overly crowded in a few number of publications. In this process, we actually tested the frequency and range thresholds several rounds for the inclusion of all the potential topics. In total, we obtained 531 nouns, 1,330 2-grams, 331 3-grams, and 81 4-grams. Third, because most of the retrieved n-grams cannot function as meaningful research topics, we manually checked all the candidate items and discussed extensively to decide their roles as potential research topics until full agreements were reached. Finally, we read all the abstracts of the 143 HCPs to further validate their roles as research topics. In the end, we got 118 topic items in total.

4.1. Main publication venues of HCPs

Of the 48 journals which published the 143 HCPs, 17 journals have contributed at least 3 HCPs ( Table 2 ), around 71.33% of the total examined HCPs (102/143), indicating that HCPs tend to be highly concentrated in a limited number of journals. The three largest publication outlets of HCPs are Bilingualism Language and Cognition (16), International Journal of Bilingual Education and Bilingualism (11), and Modern Language Journal (10). Because each journal varies greatly in the number of papers published per year and the number of HCPs is associated with journal circulations, we divided the total number of papers (TP) in the examined years (2011–2021) with the number of the HCPs to acquire the HCP percentage for each journal (HCPs/TP). The three journals with the highest HCPs/TP percentage are Annual Review of Applied Linguistics (2.26), Modern Language Journal (2.08), and Bilingualism Language and Cognition (1.74), indicating that papers published in these journals have a higher probability to enter the HCPs list.

Top 17 publication venues of HCPs.

N: the number of HCPs in each journal; N%: the percentage of HCPs in each journal in the total of 143 HCPs; TP: the total number of papers in the examined timespan (2011–2021); N/TP %: the percentage of HCPs in the total journal publications in the examined time span; TC/HCP: average citations of each HCP; R: journal ranking for the designated indicator; IF: Impact Factor in the year of 2022.

In terms of the general impact of the HCPs from each journal, we divided the number of HCPs with their total citations (TC) to obtain the average citations for each HCP (TC/HCP). The three journals with the highest TC/HCP are Journal of Memory and Language (837.86), Computational Linguistics (533.75), and Journal of Pragmatics (303.75). It indicates that even in the same WoS category, HCPs in different journals have strikingly different capability to accumulate citations. For example, the TC/HCP in System is as low as 31.73, which is even less than 4% of the highest TC/HCP in Journal of Memory and Language .

In regards to the latest journal impact factor (IF) in 2022, the top four journals with the highest IF are Computational Linguistics (7.778) , Modern Language Journal (7.5), Computer Assisted Language Learning (5.964), and Language Learning (5.24). According to the Journal Citation Reports (JCR) quantile rankings in WoS category of linguistics , all the journals on the list belong to the Q 1 (the top 25%), indicating that contributors are more likely to be attracted to contribute and cite papers in these prestigious high impact journals.

4.2. Authors of HCPs

A total of 352 authors had their names listed in the 143 HCPs, of whom 33 authors appeared in at least 2 HCPs as shown in Table 3 . We also provided in Table 3 other indicators to evaluate the authors’ productivity and impact including the total number of citations (TC), the number of citations per HCP, and the number of First author or Corresponding author HCPs (FA/CA). The reason we include the FA/CA indicator is that first authors and corresponding authors are usually considered to contribute the most and should receive greater proportion of credit in academic publications ( Marui et al., 2004 ; Dance, 2012 ).

Authors with at least 2 HCPs.

N: number of HCPs from each author; FA/CA: first author or corresponding author HCPs; TC: total citations of the HCPs from each author; C/HCP: average citations per HCP for each author.

In terms of the number of HCPs, Dewaele JM from Birkbeck Univ London tops the list with 7 HCPs with total citations of 492 (TC = 492), followed by Li C from Huazhong Univ Sci & Technol (#HCPs = 5; TC = 215) and Saito K from UCL (#HCPs = 5; TC = 576). It is to be noted that both Li C and Saito K have close academic collaborations with Dewaele JM . For example, 3 of the 5 HCPs by Li C are co-authored with Dewaele JM . The topics in their co-authored HCPs are mostly about foreign language learning emotions such as boredom , anxiety , enjoyment , the measurement , and positive psychology .

In regards to TC, Li, W . from UCL stands out as the most influential scholar among all the listed authors with total citations of 956 from 2 HCPs, followed by Norton B from Univ British Columbia (TC = 915) and Vasishth S from Univ Potsdam (TC = 694). The average citations per HCP from them are also the highest among the listed authors (478, 305, 347, respectively). It is important to note that Li, W.’ s 2 HCPs are his groundbreaking works on translanguaging which almost become must-reads for anyone who engages in translanguaging research ( Li, 2011 , 2018 ). Besides, Li, W. single authors his 2 HCPs, which is extremely rare as HCPs are often the results from multiple researchers. Norton B ’s HCPs are exploring some core issues in applied linguistics such as identity and investment , language learning , and social change that are considered the foundational work in its field ( Norton and Toohey, 2011 ; Darvin and Norton, 2015 ).

From the perspective of FA/CA papers, Li C from Huazhong Univ Sci and Technol is prominent because she is the first author of all her 5 HCPs. Her research on language learning emotions in the Chinese context is gaining widespread recognition ( Li et al., 2018 , 2019 , 2021 ; Li, 2019 , 2021 ). However, as a newly emerging researcher, most of her HCPs are published in the very recent years and hence accumulate relatively fewer citations (TC = 215). Mondada L from Univ Basel follows closely and single authors her 3 HCPs. Her work is mostly devoted to conversation analysis , multimodality , and social interaction ( Mondada, 2016 , 2018 , 2019 ).

We need to mention the following points regarding the productive authors of HCPs. First, when we calculated the number of HCPs from each author, only the papers published in the journals indexed in the investigated WoS categories were taken in account ( linguistics; language & linguistics ), which came as a compromise to protect the linguistics oriented nature of the HCPs. For example, Brysbaert M from Ghent University claimed a total of 8 HCPs at the time of the data retrieval, of which 6 HCPs were published in WoS category of psychology and more psychologically oriented, hence not included in our study. Besides, all the authors on the author list were treated equally when we calculated the number of HCPs, disregarding the author ordering. That implies that some influential authors may not be able to enter the list as their publications are comparatively fewer. Second, as some authors reported different affiliations at their different career stages, we only provide their most recent affiliation for convenience. Third, it is highly competitive to have one’s work selected as HCPs. The fact that a majority of the HCPs authors do not appear in our productive author list does not diminish their great contributions to this field. The rankings in Table 3 does not necessarily reflect the recognition authors have earned in academia at large.

4.3. Productive countries of HCPs

In total, the 143 HCPs originated from 33 countries. The most productive countries that contributed at least three HCPs are listed in Table 4 . The USA took an overwhelming lead with 59 HCPs, followed distantly by England with 31 HCPs. They also boasted the highest total citations (TC = 15,770; TC = 9,840), manifesting their high productivity and strong influence as traditional powerhouses in linguistics research. In regards to the average citations per HCP, Germany , England and the USA were the top three countries (TC/HCP = 281.67, 281.14, and 267.29, respectively). Although China held the third position with 19 HCPs published, its TC/HCP is the third from the bottom (TC/HCP = 66.84). One of the important reasons is that 13 out of the 19 HCPs contributed by scholars in China are published in the year of 2020 or 2021. The newly published HCPs may need more time to accumulate citations. Besides, 18 out of the 19 HCPs in China are first author and/or corresponding authors, indicating that scholars in China are becoming more independent and gaining more voice in English linguistics research.

Top 18 countries with at least 3 HCPs.

Two points should be noted here as to the productive countries. First, we calculated the HCP contributions from the country level instead of the region level. In other words, HCP contributions from different regions of the same country will be combined in the calculation. For example, HCPs from Scotland were added to the HCPs from England . HCPs from Hong Kong , Macau , and Taiwan are put together with the HCPs from Mainland China . In this way, a clear picture of the HCPs on the country level can be painted. Second, we manually checked the address information of the first author and corresponding author for each HCP. There are some cases where the first author or the corresponding author may report affiliations from more than one country. In this case, every country in their address list will be treated equally in the FA/CA calculation. In other word, a HCP may be classified into more than one country because of the different country backgrounds of the first and/or the corresponding author.

4.4. Top 20 HCPs

The top 20 HCPs with the highest normed citations are listed in decreasing order in Table 5 . The top cited publications can guide us to better understand the development and research topics in recent years.

Top 20 HCPs.

To save space, not full information about the HCPs is given. Some article titles have been abbreviated if they are too lengthy; for the authors, we report the first two authors and use “et al” if there are three authors or more; RC: raw citations; NC: normalized citations

By reading the titles and the abstracts of these top HCPs, we categorized the topics of the 20 HCPs into the following five groups: (i) statistical and analytical methods in (psycho)linguistics such as sentimental analysis, sentence simplification techniques, effect sizes, linear mixed models (#1, 3, 4, 6, 9, 14), (ii) language learning/teaching emotions such enjoyment, anxiety, boredom, stress (#11, 15, 16, 18, 19), (iii) translanguaging or multilinguilism (#5, 13, 20, 17), (iv) language perception (#2, 7, 10), (v) medium of instruction (#8, 12). It is no surprise that 6 out of the top 20 HCPs are about statistical methods in linguistics because language researchers aspire to employ statistics to make their research more scientific. Besides, we noticed that the papers on language teaching/learning emotions on the list are all published in the year of 2020 and 2021, indicating that these emerging topics may deserve more attention in future research. We also noticed two Covid-19 related articles (#16, 19) explored the emotions teachers and students experience during the pandemic, a timely response to the urgent need of the language learning and teaching community.

It is of special interest to note that papers from the journals indexed in multiple JCR categories seem to accumulate more citations. For example, Journal of Memory and Language , American Journal of Speech-Language Pathology , and Computational Linguistics are indexed both in SSCI and SCIE and contribute the top 4 HCPs, manifesting the advantage of these hybrid journals in amassing citations compared to the conventional language journals. Besides, different to findings from Yan et al. (2022) that most of the top HCPs in the field of radiology are reviews in document types, 19 out of the top 20 HCPs are research articles instead of reviews except Macaro et al. (2018) .

4.5. Most frequently explored topics of HCPs

After obtaining the corpus based topic items, we read all the titles and abstracts of the 143 HCPs to further validate their roles as research topics. Table 6 presents the top research topics with the observed frequency of 5 or above. We grouped these topics into five broad categories: bilingual-related, language learning/teaching-related, psycho/pathological/cognitive linguistics-related, methods and tools-related, and others . The observed frequency count for each topic in the abstract corpus were included in the brackets. We found that about 34 of the 143 HCPs are exploring bilingual related issues, the largest share among all the categorized topics, testifying its academic popularity in the examined timespan. Besides, 30 of the 143 HCPs are investigating language learning/teaching-related issues, with topics ranging from learners (e.g., EFL learners, individual difference) to multiple learning variables (e.g., learning strategy, motivation, agency). The findings here will be validated by the analysis of the keywords.

Categorization of the most explored research topics.

N: the number of the HCPs in each topic category; ELF: English as a lingua franca; CLIL: content and language integrated learning; FLE: foreign language enjoyment; FLCA: foreign language classroom anxiety

Several points should be mentioned regarding the topic candidacy. First, for similar topic expressions, we used a cover term and added the frequency counts. For example, multilingualism is a cover term for bilinguals, bilingualism, plurilingualism, and multilingualism . Second, for nouns of singular and plural forms (e.g., emotion and emotions ) or for items with different spellings (e.g., meta analysis and meta analyses ), we combined the frequency counts. Third, we found that some longer items (3 grams and 4 grams) could be subsumed to short ones (2 grams or monogram) without loss of essential meaning (e.g., working memory from working memory capacity ). In this case, the shorter ones were kept for their higher frequency. Fourth, some highly frequent terms were discarded because they were too general to be valuable topics in language research, for example, applied linguistics , language use , second language .

5. Discussion and implications

Based on 143 highly cited papers collected from the WoS categories of linguistics , the present study attempts to present a bird’s eye view of the publication landscape and the most updated research themes reflected from the HCPs in the linguistics field. Specifically, we investigated the important contributors of HCPs in terms of journals, authors and countries. Besides, we spotlighted the research topics by corpus-based analysis of the abstracts and a detailed analysis of the top HCPs. The study has produced several findings that bear important implications.

The first finding is that the HCPs are highly concentrated in a limited journals and countries. In regards to journals, those in the spheres of bilingualism and applied linguistics (e.g., language teaching and learning) are likely to accumulate more citations and hence to produce more HCPs. Journals that focus on bilingualism from a linguistic, psycholinguistic, and neuroscientific perspective are the most frequent outlets of HCPs as evidenced by the top two productive journals of HCPs, Bilingualism Language and Cognition and International Journal of Bilingual Education and Bilingualism . This can be explained by the multidisciplinary nature of bilingual-related research and the development of cognitive measurement techniques. The merits of analyzing publication venues of HCPs are two folds. One the one hand, it can point out which sources of high-quality publications in this field can be inquired for readers as most of the significant and cutting-edge achievements are concentrated in these prestigious journals. On the other hand, it also provides essential guidance or channels for authors or contributors to submit their works for higher visibility.

In terms of country distributions, the traditional powerhouses in linguistics research such as the USA and England are undoubtedly leading the HCP publications in both the number and the citations of the HCPs. However, developing countries are also becoming increasing prominent such as China and Iran , which could be traceable in the funding and support of national language policies and development policies as reported in recent studies ( Ping et al., 2009 ; Lei and Liu, 2019 ). Take China as an example. Along with economic development, China has given more impetus to academic outputs with increased investment in scientific research ( Lei and Liao, 2017 ). Therefore, researchers in China are highly motivated to publish papers in high-quality journals to win recognition in international academia and to deal with the publish or perish pressure ( Lee, 2014 ). These factors may explain the rise of China as a new emerging research powerhouse in both natural and social sciences, including English linguistics research.

The second finding is the multilingual trend in linguistics research. The dominant clustering of topics regarding multilingualism can be understood as a timely response to the multilingual research fever ( May, 2014 ). 34 out of the 143 HCPs have such words as bilingualism, bilingual, multilingualism , translanguaging , etc., in their titles, reflecting a strong multilingual tendency of the HCPs. Multilingual-related HCPs mainly involve three aspects: multilingualism from the perspectives of psycholinguistics and cognition (e.g., Luk et al., 2011 ; Leivada et al., 2020 ); multilingual teaching (e.g., Schissel et al., 2018 ; Ortega, 2019 ; Archila et al., 2021 ); language policies related to multilingualism (e.g., Shen and Gao, 2018 ). As a pedagogical process initially used to describe the bilingual classroom practice and also a frequently explored topic in HCPs, translanguaging is developed into an applied linguistics theory since Li’s Translanguaging as a Practical Theory of Language ( Li, 2018 ). The most common collocates of translanguaging in the Abstract corpus are pedagogy/pedagogies, practices, space/spaces . There are two main reasons for this multilingual turn. First, the rapid development of globalization, immigration, and overseas study programs greatly stimulate the use and research of multiple languages in different linguistic contexts. Second, in many non-English countries, courses are delivered through languages (mostly English) besides their mother tongue ( Clark, 2017 ). Students are required to use multiple languages as resources to learn and understand subjects and ideas. The burgeoning body of English Medium Instruction literature in higher education is in line with the rising interest in multilingualism. Due to the innate multidisciplinary nature, it is to be expected that, multilingualism, the topic du jour, is bound to attract more attention in the future.

The third finding is the application of Positive Psychology (PP) in second language acquisition (SLA), that is, the positive trend in linguistic research. In our analysis, 20 out of 143 HCPs have words or phrases such as emotions, enjoyment, boredom, anxiety , and positive psychology in their titles, which might signal a shift of interest in the psychology of language learners and teachers in different linguistic environments. Our study shows Foreign language enjoyment (FLE) is the most frequently explored emotion, followed by foreign language classroom anxiety (FLCA), the learners’ metaphorical left and right feet on their journey to acquiring the foreign language ( Dewaele and MacIntyre, 2016 ). In fact, the topics of PP are not entirely new to SLA. For example, studies of language motivations, affections, and good language learners all provide roots for the emergence of PP in SLA ( Naiman, 1978 ; Gardner, 2010 ). In recent years, both research and teaching applications of PP in SLA are building rapidly, with a diversity of topics already being explored such as positive education and PP interventions. It is to be noted that SLA also feeds back on PP theories and concepts besides drawing inspirations from it, which makes it “an area rich for interdisciplinary cross-fertilization of ideas” ( Macintyre et al., 2019 ).

It should be noted that subjectivity is involved when we decide and categorize the candidate topic items based on the Abstract corpus. However, the frequency and range criteria guarantee that these items are actually more explored in multiple HCPs, thus indicating topic values for further investigation. Some high frequent n-grams are abandoned because they are too general or not meaningful topics. For example, applied linguistics is too broad to be included as most of the HCPs concern issues in this research line instead of theoretical linguistics. By meaningful topics, we mean that the topics can help journal editors and readers quickly locate their interested fields ( Lei and Liu, 2019 ), as the author keywords such as bilingualism , emotions , and individual differences . The examination of the few 3/4-grams and monograms (mostly nouns) revealed that most of them were either not meaningful topics or they could be subsumed in the 2-grams. Besides, there is inevitably some overlapping in the topic categorizations. For example, some topics in the language teaching and learning category are situated and discussed within the context of multilingualism. The merits of topic categorizations are two folds: to better monitor the overlapping between the Abstract corpus-based topic items and the keywords; to roughly delineate the research strands in the HCPs for future research.

It should also be noted that all the results were based on the retrieved HCPs only. The study did not aim to paint a comprehensive and full picture of the whole landscape of linguistic research. Rather, it specifically focused on the most popular literature in a specified timeframe, thus generating the snapshots or trends in linguistic research. One of the important merits of this methodology is that some newly emerging but highly cited researchers can be spotlighted and gain more academic attention because only the metrics of HCPs are considered in calculation. On the contrary, the exclusion of some other highly cited researchers in general such as Rod Ellis and Ken Hyland just indicates that their highly cited publications are not within our investigated timeframe and cannot be interpreted as their diminishing academic influence in the field. Besides, the study does not consider the issue of collaborators or collaborations in calculating the number of HCPs for two reasons. First, although some researchers are regular collaborators such as Li CC and Dewaele JM, their individual contribution can never be undermined. Second, the study also provides additional information about the number of the FA/CA HCPs from each listed author, which may aid readers in locating their interested research.

We acknowledge that our study has some limitations that should be addressed in future research. First, our study focuses on the HCPs extracted from WoS SSCI and A&HCI journals, the alleged most celebrated papers in this field. Future studies may consider including data from other databases such as Scopus to verify the findings of the present study. Second, our Abstract corpus-based method for topic extraction involved human judgement. Although the final list was the result of several rounds of discussions among the authors, it is difficult or even impossible to avoid subjectivity and some worthy topics may be unconsciously missed. Therefore, future research may consider employing automatic algorithms to extract topics. For example, a dependency-based machine learning approach can be used to identify research topics ( Zhu and Lei, 2021 ).

Data availability statement

Author contributions.

SY: conceptualization and methodology. SY and LZ: writing-review and editing and writing-original draft. All authors contributed to the article and approved the submitted version.

This work was supported by Humanities and Social Sciences Youth Fund of China MOE under the grant 20YJC740076 and 18YJC740141.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1052586/full#supplementary-material

• Aksnes D. W. (2003). Characteristics of highly cited papers . Res. Eval. 12 , 159–170. doi: 10.3152/147154403781776645 [ CrossRef ] [ Google Scholar ]
• Anthony L. (2022). AntConc (version 4.0.5) Tokyo, Japan: Waseda University. Available at: https://www.laurenceanthony.net/software (Accessed June 20, 2022).
• Archila P. A., Molina J., Truscott de Mejía A.-M. (2021). Fostering bilingual scientific writing through a systematic and purposeful code-switching pedagogical strategy . Int. J. Biling. Educ. Biling. 24 , 785–803. doi: 10.1080/13670050.2018.1516189 [ CrossRef ] [ Google Scholar ]
• Blessinger K., Hrycaj P. (2010). Highly cited articles in library and information science: an analysis of content and authorship trends . Libr. Inf. Sci. Res. 32 , 156–162. doi: 10.1016/j.lisr.2009.12.007 [ CrossRef ] [ Google Scholar ]
• Chen H., Ho Y. S. (2015). Highly cited articles in biomass research: a bibliometric analysis . Renew. Sust. Energ. Rev. 49 , 12–20. doi: 10.1016/j.rser.2015.04.060 [ CrossRef ] [ Google Scholar ]
• Clark S. (2017). Translanguaging in higher education: beyond monolingual ideologies . Int. J. Biling. Educ. Biling. 22 , 1048–1051. doi: 10.1080/13670050.2017.1322568 [ CrossRef ] [ Google Scholar ]
• Dance A. (2012). Authorship: Who’s on first? Nature 489 , 591–593. doi: 10.1038/nj7417-591a, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Danell R. (2011). Can the quality of scientific work be predicted using information on the author’s track record? J. Am. Soc. Inf. Sci. Technol. 62 , 50–60. doi: 10.1002/asi.21454 [ CrossRef ] [ Google Scholar ]
• Darvin R., Norton B. (2015). Identity and a model of Investment in Applied Linguistics . Annu. Rev. Appl. Linguist. 35 , 36–56. doi: 10.1017/S0267190514000191 [ CrossRef ] [ Google Scholar ]
• Dewaele J.-M., MacIntyre P. D. (2016). “ Foreign language enjoyment and foreign language classroom anxiety: the right and left feet of the language learner ” in Positive psychology in SLA . eds. Peter D. M., Tammy G., Sarah M. (Bristol, Blue Ridge Summit: Multilingual Matters; ), 215–236. [ Google Scholar ]
• Gardner R. (2010). Motivation and second language acquisition: The socio-educational model . New York: Peter Lang. [ Google Scholar ]
• Gong Y., Lyu B., Gao X. (2018). Research on teaching Chinese as a second or foreign language in and outside mainland China: a bibliometric analysis . Asia Pac. Educ. Res. 27 , 277–289. doi: 10.1007/s40299-018-0385-2 [ CrossRef ] [ Google Scholar ]
• Hsu Y., Ho Y. S. (2014). Highly cited articles in health care sciences and services field in science citation index Expanded . Methods Inf. Med. 53 , 446–458. doi: 10.3414/ME14-01-0022, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Lee I. (2014). Publish or perish: the myth and reality of academic publishing . Lang. Teach. 47 , 250–261. doi: 10.1017/S0261444811000504 [ CrossRef ] [ Google Scholar ]
• Lei L., Liao S. (2017). Publications in linguistics journals from mainland China, Hong Kong, Taiwan, and Macau (2003–2012): a bibliometric analysis . J. Quant. Ling. 24 , 54–64. doi: 10.1080/09296174.2016.1260274 [ CrossRef ] [ Google Scholar ]
• Lei L., Liu D. (2018). The research trends and contributions of System’s publications over the past four decades (1973–2017): a bibliometric analysis . System 80 , 1–13. doi: 10.1016/j.system.2018.10.003 [ CrossRef ] [ Google Scholar ]
• Lei L., Liu D. (2019). Research trends in applied linguistics from 2005 to 2016: a bibliometric analysis and its implications . Appl. Linguis. 40 , 540–561. doi: 10.1093/applin/amy003 [ CrossRef ] [ Google Scholar ]
• Leivada E., Westergaard M., Duabeitia J. A., Rothman J. (2020). On the phantom-like appearance of bilingualism effects on neurocognition: (how) should we proceed? Biling. Lang. Congn. 24 , 197–210. doi: 10.1017/S1366728920000358 [ CrossRef ] [ Google Scholar ]
• Li W. (2011). Moment analysis and translanguaging space: discursive construction of identities by multilingual Chinese youth in Britain . Energy Fuel 43 , 1222–1235. doi: 10.1016/j.pragma.2010.07.035 [ CrossRef ] [ Google Scholar ]
• Li W. (2018). Translanguaging as a practical theory of language . Appl. Linguis. 39 , 9–30. doi: 10.1093/applin/amx039 [ CrossRef ] [ Google Scholar ]
• Li C. (2019). A positive psychology perspective on Chinese EFL students’ trait emotional intelligence, foreign language enjoyment and EFL learning achievement . J. Multiling. Multicult. Dev. 41 , 246–263. doi: 10.1080/01434632.2019.1614187 [ CrossRef ] [ Google Scholar ]
• Li C. (2021). A control-value theory approach to boredom in English classes among university students in China . Mod. Lang. J. 105 , 317–334. doi: 10.1111/modl.12693 [ CrossRef ] [ Google Scholar ]
• Li C., Dewaele J. M., Hu Y. (2021). Foreign language learning boredom: conceptualization and measurement . Appl. Ling. Rev. doi: 10.1515/applirev-2020-0124 [ CrossRef ] [ Google Scholar ]
• Li C., Dewaele J. M., Jiang G. (2019). The complex relationship between classroom emotions and EFL achievement in China . Appl. Ling. Rev. 11 , 485–510. doi: 10.1515/applirev-2018-0043 [ CrossRef ] [ Google Scholar ]
• Li C., Jiang G., Jean-Marc D. (2018). Understanding Chinese high school students’ foreign language enjoyment: validation of the Chinese version of the foreign language enjoyment scale . System 76 , 183–196. doi: 10.1016/j.system.2018.06.004 [ CrossRef ] [ Google Scholar ]
• Liao S., Lei L. (2017). What we talk about when we talk about corpus: a bibliometric analysis of corpus-related research in linguistics (2000-2015) . Glottometrics 38 , 1–20. [ Google Scholar ]
• Liao H., Tang M., Li Z., Lev B. (2018). Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on essential science indicators . Omega 88 , 223–236. doi: 10.1016/j.omega.2018.11.005 [ CrossRef ] [ Google Scholar ]
• Luk G., Sa E. D., Bialystok E. (2011). Is there a relation between onset age of bilingualism and enhancement of cognitive control? Biling. Lang. Cogn. 14 , 588–595. doi: 10.1017/S1366728911000010 [ CrossRef ] [ Google Scholar ]
• Macaro E., Curle S., Pun J., Dearden J. (2018). A systematic review of English medium instruction in higher education . Lang. Teach. 51 , 36–76. doi: 10.1017/S0261444817000350 [ CrossRef ] [ Google Scholar ]
• Macintyre P., Gregersen T., Mercer S. (2019). Setting an agenda for positive psychology in SLA: theory, practice, and research . Mod. Lang. J. 103 , 262–274. doi: 10.1111/modl.12544 [ CrossRef ] [ Google Scholar ]
• Mancebo F. P., Sapena A. F., Herrera M. V., González L., Toca H., Benavent R. A. (2013). Scientific literature analysis of judo in web of science . Arch. Budo 9 , 81–91. doi: 10.12659/AOB.883883 [ CrossRef ] [ Google Scholar ]
• Marui M., Bozikov J., Katavi V., Hren D., Kljakovi-Gapi M., Marui A. (2004). Authorship in a small medical journal: a study of contributorship statements by corresponding authors . Sci. Eng. Ethics 10 , 493–502. doi: 10.1007/s11948-004-0007-7, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• May S. (2014). The multilingual turn: Implications for SLA, TESOL and bilingual education . New York: Routledge. [ Google Scholar ]
• Mondada L. (2016). Challenges of multimodality: language and the body in social interaction . J. Socioling. 20 , 336–366. doi: 10.1111/josl.1_12177 [ CrossRef ] [ Google Scholar ]
• Mondada L. (2018). Multiple temporalities of language and body in interaction: challenges for transcribing multimodality . Res. Lang. Soc. Interact. 51 , 85–106. doi: 10.1080/08351813.2018.1413878 [ CrossRef ] [ Google Scholar ]
• Mondada L. (2019). Contemporary issues in conversation analysis: embodiment and materiality, multimodality and multisensoriality in social interaction . J. Pragmat. 145 , 47–62. doi: 10.1016/j.pragma.2019.01.016 [ CrossRef ] [ Google Scholar ]
• Naiman N. (1978). The good language learner . Clevedon, UK: Multilingual Matters. [ Google Scholar ]
• Newman M. (2008). The first-mover advantage in scientific publication . Eplasty 86 , 68001–68006. doi: 10.1209/0295-5075/86/68001 [ CrossRef ] [ Google Scholar ]
• Newman M. (2014). Prediction of highly cited papers . Eplasty 105 :28002. doi: 10.1209/0295-5075/105/28002 [ CrossRef ] [ Google Scholar ]
• Norton B., Toohey K. (2011). Identity, language learning, and social change . Lang. Teach. 44 , 412–446. doi: 10.1017/S0261444811000309 [ CrossRef ] [ Google Scholar ]
• Ortega L. (2019). SLA and the study of equitable multilingualism . Mod. Lang. J. 103 , 23–38. doi: 10.1111/modl.12525 [ CrossRef ] [ Google Scholar ]
• Ping Z., Thijs B., Glnzel W. (2009). Is China also becoming a giant in social sciences? Scientometrics 79 , 593–621. doi: 10.1007/s11192-007-2068-x [ CrossRef ] [ Google Scholar ]
• Pritchard A. (1969). Statistical bibliography or bibliometrics . J. Doc. 25 , 348–349. [ Google Scholar ]
• Ríos L. J. C., Tamao I. M., Olmos J. (2013). Bibliometric study (1922-2009) on rugby articles in research journals . South Afr. J. Res. Sport Phys. Educ. Rec. 17 , 313–109. doi: 10.3176/tr.2013.3.06 [ CrossRef ] [ Google Scholar ]
• Ruggeri G., Orsi L., Corsi S. (2019). A bibliometric analysis of the scientific literature on Fairtrade labelling . Int. IJC 43 , 134–152. doi: 10.1111/ijcs.12492 [ CrossRef ] [ Google Scholar ]
• Sabiote C. R., Rodríguez J. A. (2015). Bibliometric study and methodological quality indicators of the journal porta Linguarum during six year period 2008-2013 . Porta Ling. 24 , 135–150. doi: 10.30827/Digibug.53866 [ CrossRef ] [ Google Scholar ]
• Schissel J. L., De Korne H., López-Gopar M. E. (2018). Grappling with translanguaging for teaching and assessment in culturally and linguistically diverse contexts: teacher perspectives from Oaxaca, Mexico . Int. J. Biling. Educ. Biling. 24 , 340–356. doi: 10.1080/13670050.2018.1463965 [ CrossRef ] [ Google Scholar ]
• Shen Q., Gao X. (2018). Multilingualism and policy making in greater China: ideological and implementational spaces . Lang. Policy 18 , 1–16. doi: 10.1007/s10993-018-9473-7 [ CrossRef ] [ Google Scholar ]
• Small H. (2004). Why authors think their papers are highly cited . Scientometrics 60 , 305–316. doi: 10.1023/B:SCIE.0000034376.55800.18 [ CrossRef ] [ Google Scholar ]
• Smith D. R. (2007). The New Zealand timber economy, 1840–1935 . N. Z. Med. J. 120 , U2871–U2313. doi: 10.1016/0305-7488(90)90044-C, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• van Doorslaer L., Gambier Y. (2015). Measuring relationships in translation studies. On affiliations and keyword frequencies in the translation studies bibliography . Perspectives 23 , 305–319. doi: 10.1080/0907676X.2015.1026360 [ CrossRef ] [ Google Scholar ]
• van Oorschot J. A. W. H., Hofman E., Halman J. (2018). A bibliometric review of the innovation adoption literature . Technol. Forecast. Soc. Chang. 134 , 1–21. doi: 10.1016/j.techfore.2018.04.032 [ CrossRef ] [ Google Scholar ]
• Xie Z., Willett P. (2013). The development of computer science research in the People’s republic of China 2000–2009: a bibliometric study . Inf. Dev. 29 , 251–264. doi: 10.1177/0266666912458515 [ CrossRef ] [ Google Scholar ]
• Yan S., Zhang H., Wang J. (2022). Trends and hot topics in radiology, nuclear medicine and medical imaging from 2011–2021: a bibliometric analysis of highly cited papers . Jpn. J. Radiol. 40 , 847–856. doi: 10.1007/s11604-022-01268-z, PMID: [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Zhu H., Lei L. (2021). A dependency-based machine learning approach to the identification of research topics: a case in COVID-19 studies . Lib. Hi Tech 40 , 495–515. doi: 10.1108/LHT-01-2021-0051 [ CrossRef ] [ Google Scholar ]
• Zhu H., Lei L. (2022). The research trends of text classification studies (2000–2020): a bibliometric analysis . SAGE Open 12 , 215824402210899–215824402210816. doi: 10.1177%2F21582440221089963 [ Google Scholar ]

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Ryuko Kubota explores the way epistemological racism, or biases in academic knowledge, reinforces institutional and individual forms of racism.

Preventing miscommunication: lessons from cross-cultural couples

Dr Kaisa S. Pietikäinen discusses how miscommunications in cross-cultural couples are relatively uncommon, and how they often use  lingua franca  English as a way of communicating.

Translanguaging and Code-Switching: what's the difference?

Li Wei explores the differences between these key analytical concepts of Translanguaging, and Code-Switching.

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211 Research Topics in Linguistics To Get Top Grades

Many people find it hard to decide on their linguistics research topics because of the assumed complexities involved. They struggle to choose easy research paper topics for English language too because they think it could be too simple for a university or college level certificate.

All that you need to learn about Linguistics and English is sprawled across syntax, phonetics, morphology, phonology, semantics, grammar, vocabulary, and a few others. To easily create a top-notch essay or conduct a research study, you can consider this list of research topics in English language below for your university or college use. Note that you can fine-tune these to suit your interests.

Linguistics Research Paper Topics

If you want to study how language is applied and its importance in the world, you can consider these Linguistics topics for your research paper. They are:

• An analysis of romantic ideas and their expression amongst French people
• An overview of the hate language in the course against religion
• Identify the determinants of hate language and the means of propagation
• Evaluate a literature and examine how Linguistics is applied to the understanding of minor languages
• Consider the impact of social media in the development of slangs
• An overview of political slang and its use amongst New York teenagers
• Examine the relevance of Linguistics in a digitalized world
• Analyze foul language and how it’s used to oppress minors
• Identify the role of language in the national identity of a socially dynamic society
• Attempt an explanation to how the language barrier could affect the social life of an individual in a new society
• Discuss the means through which language can enrich cultural identities
• Examine the concept of bilingualism and how it applies in the real world
• Analyze the possible strategies for teaching a foreign language
• Discuss the priority of teachers in the teaching of grammar to non-native speakers
• Choose a school of your choice and observe the slang used by its students: analyze how it affects their social lives
• Attempt a critical overview of racist languages
• What does endangered language means and how does it apply in the real world?
• A critical overview of your second language and why it is a second language
• What are the motivators of speech and why are they relevant?
• Analyze the difference between the different types of communications and their significance to specially-abled persons
• Give a critical overview of five literature on sign language
• Evaluate the distinction between the means of language comprehension between an adult and a teenager
• Consider a native American group and evaluate how cultural diversity has influenced their language
• Analyze the complexities involved in code-switching and code-mixing
• Give a critical overview of the importance of language to a teenager
• Attempt a forensic overview of language accessibility and what it means
• What do you believe are the means of communications and what are their uniqueness?
• Attempt a study of Islamic poetry and its role in language development
• Attempt a study on the role of Literature in language development
• Evaluate the Influence of metaphors and other literary devices in the depth of each sentence
• Identify the role of literary devices in the development of proverbs in any African country
• Cognitive Linguistics: analyze two pieces of Literature that offers a critical view of perception
• Identify and analyze the complexities in unspoken words
• Expression is another kind of language: discuss
• Identify the significance of symbols in the evolution of language
• Discuss how learning more than a single language promote cross-cultural developments
• Analyze how the loss of a mother tongue affect the language Efficiency of a community
• Critically examine how sign language works
• Using literature from the medieval era, attempt a study of the evolution of language
• Identify how wars have led to the reduction in the popularity of a language of your choice across any country of the world
• Critically examine five Literature on why accent changes based on environment
• What are the forces that compel the comprehension of language in a child
• Identify and explain the difference between the listening and speaking skills and their significance in the understanding of language
• Give a critical overview of how natural language is processed
• Examine the influence of language on culture and vice versa
• It is possible to understand a language even without living in that society: discuss
• Identify the arguments regarding speech defects
• Discuss how the familiarity of language informs the creation of slangs
• Explain the significance of religious phrases and sacred languages
• Explore the roots and evolution of incantations in Africa

Sociolinguistic Research Topics

You may as well need interesting Linguistics topics based on sociolinguistic purposes for your research. Sociolinguistics is the study and recording of natural speech. It’s primarily the casual status of most informal conversations. You can consider the following Sociolinguistic research topics for your research:

• What makes language exceptional to a particular person?
• How does language form a unique means of expression to writers?
• Examine the kind of speech used in health and emergencies
• Analyze the language theory explored by family members during dinner
• Evaluate the possible variation of language based on class
• Evaluate the language of racism, social tension, and sexism
• Discuss how Language promotes social and cultural familiarities
• Give an overview of identity and language
• Examine why some language speakers enjoy listening to foreigners who speak their native language
• Give a forensic analysis of his the language of entertainment is different to the language in professional settings
• Give an understanding of how Language changes
• Examine the Sociolinguistics of the Caribbeans
• Consider an overview of metaphor in France
• Explain why the direct translation of written words is incomprehensible in Linguistics
• Discuss the use of language in marginalizing a community
• Analyze the history of Arabic and the culture that enhanced it
• Discuss the growth of French and the influences of other languages
• Examine how the English language developed and its interdependence on other languages
• Give an overview of cultural diversity and Linguistics in teaching
• Challenge the attachment of speech defect with disability of language listening and speaking abilities
• Explore the uniqueness of language between siblings
• Explore the means of making requests between a teenager and his parents
• Observe and comment on how students relate with their teachers through language
• Observe and comment on the communication of strategy of parents and teachers
• Examine the connection of understanding first language with academic excellence

Language Research Topics

Numerous languages exist in different societies. This is why you may seek to understand the motivations behind language through these Linguistics project ideas. You can consider the following interesting Linguistics topics and their application to language:

• What does language shift mean?
• Discuss the stages of English language development?
• Examine the position of ambiguity in a romantic Language of your choice
• Why are some languages called romantic languages?
• Observe the strategies of persuasion through Language
• Discuss the connection between symbols and words
• Identify the language of political speeches
• Discuss the effectiveness of language in an indigenous cultural revolution
• Trace the motivators for spoken language
• What does language acquisition mean to you?
• Examine three pieces of literature on language translation and its role in multilingual accessibility
• Identify the science involved in language reception
• Interrogate with the context of language disorders
• Examine how psychotherapy applies to victims of language disorders
• Study the growth of Hindi despite colonialism
• Critically appraise the term, language erasure
• Examine how colonialism and war is responsible for the loss of language
• Give an overview of the difference between sounds and letters and how they apply to the German language
• Explain why the placement of verb and preposition is different in German and English languages
• Choose two languages of your choice and examine their historical relationship
• Discuss the strategies employed by people while learning new languages
• Discuss the role of all the figures of speech in the advancement of language
• Analyze the complexities of autism and its victims
• Offer a linguist approach to language uniqueness between a Down Syndrome child and an autist
• Express dance as a language
• Express music as a language
• Express language as a form of language
• Evaluate the role of cultural diversity in the decline of languages in South Africa
• Discuss the development of the Greek language
• Critically review two literary texts, one from the medieval era and another published a decade ago, and examine the language shifts

Linguistics Essay Topics

You may also need Linguistics research topics for your Linguistics essays. As a linguist in the making, these can help you consider controversies in Linguistics as a discipline and address them through your study. You can consider:

• The connection of sociolinguistics in comprehending interests in multilingualism
• Write on your belief of how language encourages sexism
• What do you understand about the differences between British and American English?
• Discuss how slangs grew and how they started
• Consider how age leads to loss of language
• Review how language is used in formal and informal conversation
• Discuss what you understand by polite language
• Discuss what you know by hate language
• Evaluate how language has remained flexible throughout history
• Mimicking a teacher is a form of exercising hate Language: discuss
• Body Language and verbal speech are different things: discuss
• Language can be exploitative: discuss
• Do you think language is responsible for inciting aggression against the state?
• Can you justify the structural representation of any symbol of your choice?
• Religious symbols are not ordinary Language: what are your perspective on day-to-day languages and sacred ones?
• Consider the usage of language by an English man and someone of another culture
• Discuss the essence of code-mixing and code-switching
• Attempt a psychological assessment on the role of language in academic development
• How does language pose a challenge to studying?
• Choose a multicultural society of your choice and explain the problem they face
• What forms does Language use in expression?
• Identify the reasons behind unspoken words and actions
• Why do universal languages exist as a means of easy communication?
• Examine the role of the English language in the world
• Examine the role of Arabic in the world
• Examine the role of romantic languages in the world
• Evaluate the significance of each teaching Resources in a language classroom
• Consider an assessment of language analysis
• Why do people comprehend beyond what is written or expressed?
• What is the impact of hate speech on a woman?
• Do you believe that grammatical errors are how everyone’s comprehension of language is determined?
• Observe the Influence of technology in language learning and development
• Which parts of the body are responsible for understanding new languages
• How has language informed development?
• Would you say language has improved human relations or worsened it considering it as a tool for violence?
• Would you say language in a black populous state is different from its social culture in white populous states?
• Give an overview of the English language in Nigeria
• Give an overview of the English language in Uganda
• Give an overview of the English language in India
• Give an overview of Russian in Europe
• Give a conceptual analysis on stress and how it works
• Consider the means of vocabulary development and its role in cultural relationships
• Examine the effects of Linguistics in language
• Present your understanding of sign language
• What do you understand about descriptive language and prescriptive Language?

List of Research Topics in English Language

You may need English research topics for your next research. These are topics that are socially crafted for you as a student of language in any institution. You can consider the following for in-depth analysis:

• Examine the travail of women in any feminist text of your choice
• Examine the movement of feminist literature in the Industrial period
• Give an overview of five Gothic literature and what you understand from them
• Examine rock music and how it emerged as a genre
• Evaluate the cultural association with Nina Simone’s music
• What is the relevance of Shakespeare in English literature?
• How has literature promoted the English language?
• Identify the effect of spelling errors in the academic performance of students in an institution of your choice
• Critically survey a university and give rationalize the literary texts offered as Significant
• Examine the use of feminist literature in advancing the course against patriarchy
• Give an overview of the themes in William Shakespeare’s “Julius Caesar”
• Express the significance of Ernest Hemingway’s diction in contemporary literature
• Examine the predominant devices in the works of William Shakespeare
• Explain the predominant devices in the works of Christopher Marlowe
• Charles Dickens and his works: express the dominating themes in his Literature
• Why is Literature described as the mirror of society?
• Examine the issues of feminism in Sefi Atta’s “Everything Good Will Come” and Bernadine Evaristos’s “Girl, Woman, Other”
• Give an overview of the stylistics employed in the writing of “Girl, Woman, Other” by Bernadine Evaristo
• Describe the language of advertisement in social media and newspapers
• Describe what poetic Language means
• Examine the use of code-switching and code-mixing on Mexican Americans
• Examine the use of code-switching and code-mixing in Indian Americans
• Discuss the influence of George Orwell’s “Animal Farm” on satirical literature
• Examine the Linguistics features of “Native Son” by Richard Wright
• What is the role of indigenous literature in promoting cultural identities
• How has literature informed cultural consciousness?
• Analyze five literature on semantics and their Influence on the study
• Assess the role of grammar in day to day communications
• Observe the role of multidisciplinary approaches in understanding the English language
• What does stylistics mean while analyzing medieval literary texts?
• Analyze the views of philosophers on language, society, and culture

English Research Paper Topics for College Students

For your college work, you may need to undergo a study of any phenomenon in the world. Note that they could be Linguistics essay topics or mainly a research study of an idea of your choice. Thus, you can choose your research ideas from any of the following:

• The concept of fairness in a democratic Government
• The capacity of a leader isn’t in his or her academic degrees
• The concept of discrimination in education
• The theory of discrimination in Islamic states
• The idea of school policing
• A study on grade inflation and its consequences
• A study of taxation and Its importance to the economy from a citizen’s perspectives
• A study on how eloquence lead to discrimination amongst high school students
• A study of the influence of the music industry in teens
• An Evaluation of pornography and its impacts on College students
• A descriptive study of how the FBI works according to Hollywood
• A critical consideration of the cons and pros of vaccination
• The health effect of sleep disorders
• An overview of three literary texts across three genres of Literature and how they connect to you
• A critical overview of “King Oedipus”: the role of the supernatural in day to day life
• Examine the novel “12 Years a Slave” as a reflection of servitude and brutality exerted by white slave owners
• Rationalize the emergence of racist Literature with concrete examples
• A study of the limits of literature in accessing rural readers
• Analyze the perspectives of modern authors on the Influence of medieval Literature on their craft
• What do you understand by the mortality of a literary text?
• A study of controversial Literature and its role in shaping the discussion
• A critical overview of three literary texts that dealt with domestic abuse and their role in changing the narratives about domestic violence
• Choose three contemporary poets and analyze the themes of their works
• Do you believe that contemporary American literature is the repetition of unnecessary themes already treated in the past?
• A study of the evolution of Literature and its styles
• The use of sexual innuendos in literature
• The use of sexist languages in literature and its effect on the public
• The disaster associated with media reports of fake news
• Conduct a study on how language is used as a tool for manipulation
• Attempt a criticism of a controversial Literary text and why it shouldn’t be studied or sold in the first place

Finding Linguistics Hard To Write About?

With these topics, you can commence your research with ease. However, if you need professional writing help for any part of the research, you can scout here online for the best research paper writing service.

There are several expert writers on ENL hosted on our website that you can consider for a fast response on your research study at a cheap price.

As students, you may be unable to cover every part of your research on your own. This inability is the reason you should consider expert writers for custom research topics in Linguistics approved by your professor for high grades.

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ORIGINAL RESEARCH article

Trends and hot topics in linguistics studies from 2011 to 2021: a bibliometric analysis of highly cited papers.

• School of Foreign Languages, Central China Normal University, Wuhan, China

High citations most often characterize quality research that reflects the foci of the discipline. This study aims to spotlight the most recent hot topics and the trends looming from the highly cited papers (HCPs) in Web of Science category of linguistics and language & linguistics with bibliometric analysis. The bibliometric information of the 143 HCPs based on Essential Citation Indicators was retrieved and used to identify and analyze influential contributors at the levels of journals, authors, and countries. The most frequently explored topics were identified by corpus analysis and manual checking. The retrieved topics can be grouped into five general categories: multilingual-related , language teaching , and learning related , psycho/pathological/cognitive linguistics-related , methods and tools-related , and others . Topics such as bi/multilingual(ism) , translanguaging , language/writing development , models , emotions , foreign language enjoyment (FLE) , cognition , anxiety are among the most frequently explored. Multilingual and positive trends are discerned from the investigated HCPs. The findings inform linguistic researchers of the publication characteristics of the HCPs in the linguistics field and help them pinpoint the research trends and directions to exert their efforts in future studies.

1. Introduction

Citations, as a rule, exhibit a skewed distributional pattern over the academic publications: a few papers accumulate an overwhelming large citations while the majority are rarely, if ever, cited. Correspondingly, the highly cited papers (HCPs) receive the greatest amount of attention in the academia as citations are commonly regarded as a strong indicator of research excellence. For academic professionals, following HCPs is an efficient way to stay current with the developments in a field and to make better informed decisions regarding potential research topics and directions to exert their efforts. For academic institutions, government and private agencies, and generally the science policy makers, they keep a close eye on and take advantage of this visible indicator, citations, to make more informed decisions on research funding allocation and science policy formulation. Under the backdrop of ever-growing academic outputs, there is noticeable attention shift from publication quantity to publication quality. Many countries are developing research policies to identify “excellent” universities, research groups, and researchers ( Danell, 2011 ). In a word, HCPs showcase high-quality research, encompass significant themes, and constitute a critical reference point in a research field as they are “gold bullion of science” ( Smith, 2007 ).

2. Literature review

Bibliometrics, a term coined by Pritchard (1969) , refers to the application of mathematical methods to the analysis of academic publications. Essentially this is a quantitative method to depict publication patterns within a given field based on a body of literature. There are many bibliometric studies on natural and social sciences in general ( Hsu and Ho, 2014 ; Zhu and Lei, 2022 ) and on various specific disciplines such as management sciences ( Liao et al., 2018 ), biomass research ( Chen and Ho, 2015 ), computer sciences ( Xie and Willett, 2013 ), and sport sciences ( Mancebo et al., 2013 ; Ríos et al., 2013 ), etc. In these studies, researchers tracked developments, weighed research impacts, and highlighted emerging scientific fronts with bibliometric methods. In the field of linguistics, bibliometric studies all occurred in the past few years ( van Doorslaer and Gambier, 2015 ; Lei and Liao, 2017 ; Gong et al., 2018 ; Lei and Liu, 2018 , 2019 ). These bibliometric studies mostly examined a sub-area of linguistics, such as corpus linguistics ( Liao and Lei, 2017 ), translation studies ( van Doorslaer and Gambier, 2015 ), the teaching of Chinese as a second/foreign language ( Gong et al., 2018 ), academic journals like System ( Lei and Liu, 2018 ) or Porta Linguarum ( Sabiote and Rodríguez, 2015 ), etc. Although Lei and Liu (2019) took the entire discipline of linguistics under investigation, their research is exclusively focused on applied linguistics and restricted in a limited number of journals (42 journals in total), leaving publications in other linguistics disciplines and qualified journals unexamined.

Over the recent years, a number of studies have been concerned with “excellent” papers or HCPs. For example, Small (2004) surveyed the HCPs authors’ opinions on why their papers are highly cited. The strong interest, the novelty, the utility, and the high importance of the work were among the most frequently mentioned. Most authors also considered that their selected HCPs are indeed based on their most important work in their academic career. Aksnes (2003) investigated the characteristics of HCPs and found that they were generally authored by a large number of scientists, often involving international collaboration. Some researchers even attempted to predict the HCPs by building mathematical models, implying “the first mover advantage in scientific publication” ( Newman, 2008 , 2014 ). In other words, papers published earlier in a field generally are more likely to accumulate more citations than those published later. Although many papers addressed HCPs from different perspectives, they held a common belief that HCPs are very different from less or zero cited papers and thus deserve utmost attention in academic research ( Aksnes, 2003 ; Blessinger and Hrycaj, 2010 ; Yan et al., 2022 ).

Although an increased focus on research quality can be observed in different fields, opinions diverge on the range and the inclusion criterion of excellent papers. Are they ‘highly cited’, ‘top cited’, or ‘most frequently cited’ papers? Aksnes (2003) noted two different approaches to define a highly cited article, involving absolute or relative thresholds, respectively. An absolute threshold stipulates a minimum number of citations for identifying excellent papers while a relative threshold employs the percentile rank classes, for example, the top 10% most highly cited papers in a discipline or in a publication year or in a publication set. It is important to note that citations differ significantly in different fields and disciplines. A HCP in natural sciences generally accumulates more citations than its counterpart in social sciences. Thus, it is necessary to investigate HCPs from different fields separately or adopt different inclusion criterion to ensure a valid comparison.

The present study has been motivated by two considerations. First, the sizable number of publications of varied qualities in a scientific field makes it difficult or even impossible to conduct any reliable and effective literature research. Focusing on the quality publications, the HCPs in particular, might lend more credibility to the findings on trends. Second, HCPs can serve as a great platform to discover potentially important information for the development of a discipline and understand the past, present, and future of the scientific structure. Therefore, the present study aims to investigate the hot topics and publication trends in the Web of Science category of linguistics or language & linguistics (shortened as linguistics in later references) with bibliometric methods. The study aims to answer the following three questions:

1. Who are the most productive and impactful contributors of the HCPs in WoS category of linguistics or language & linguistics in terms of publication venues, authors, and countries?

2. What are the most frequently explored topics in HCPs?

3. What are the general research trends revealed from the HCPs?

3. Materials and methods

Different from previous studies which used an arbitrary inclusion threshold (e.g., Blessinger and Hrycaj, 2010 ; Hsu and Ho, 2014 ), we rely on Essential Science Indicator (ESI) to identify the HCPs. Developed by Clarivate, a leading company in the areas of bibliometrics and scientometrics, ESI reveals emerging science trends as well as influential individuals, institutions, papers, journals, and countries in any scientific fields of inquiry by drawing on the complete WoS databases. ESI has been chosen for the following three reasons. First, ESI adopts a stricter inclusion criterion for HCPs identification. That is, a paper is selected as a HCP only when its citations exceed the top 1% citation threshold in each of the 22 ESI subject categories. Second, ESI is widely used and recognized for its reliability and authority in identifying the top-charting work, generating “excellent” metrics including hot and highly cited papers. Third, ESI automatically updates its database to generate the most recent HCPs, especially suitable for trend studies for a specified timeframe.

3.1. Data source

The data retrieval was completed at the portal of our university library on June 20, 2022. The methods to retrieve the data are described in Table 1 . The bibliometric indicators regarding the important contributors at journal/author/country levels were obtained. Specifically, after the research was completed, we clicked the “Analyze Results” bar on the result page for the detailed descriptive analysis of the retrieved bibliometric data.

Table 1 . Retrieval strategies.

Several points should be noted about the search strategies. First, we searched the bibliometric data from two sub-databases of WoS core collection: Social Science Citation Index (SSCI) and Arts & Humanities Citation Index (A&HCI). There is no need to include the sub-database of Science Citation Index Expanded (SCI-EXPANDED) because publications in the linguistics field are almost exclusively indexed in SSCI and A&HCI journals. WoS core collection was chosen as the data source because it boasts one of the most comprehensive and authoritative databases of bibliometric information in the world. Many previous studies utilized WoS to retrieve bibliometric data. van Oorschot et al. (2018) and Ruggeri et al. (2019) even indicated that WoS meets the highest standards in terms of impact factor and citation counts and hence guarantees the validity of any bibliometric analysis. Second, we do not restrict the document types as HCPs selection informed by ESI only considers articles and reviews. Third, we do not set the date range as the dataset of ESI-HCPs is automatically updated regularly to include the most recent 10 years of publications.

The aforementioned query obtained a total of 143 HCPs published in 48 journals contributed by 352 authors of 226 institutions. We then downloaded the raw bibliometric parameters of the 143 HCPs for follow-up analysis including publication years, authors, publication titles, countries, affiliations, abstracts, citation reports, etc. A complete list of the 143 HCPs can be found in the Supplementary Material . We collected the most recent impact factor (IF) of each journal from the 2022 Journal Citation Reports (JCR).

3.2. Data analysis

3.2.1. citation analysis.

A citation threshold is the minimum number of citations obtained by ranking papers in a research field in descending order by citation counts and then selecting the top fraction or percentage of papers. In ESI, the highly cited threshold reveals the minimum number of citations received by the top 1% of papers from each of the 10 database years. In other words, a paper has to meet the minimum citation threshold that varies by research fields and by years to enter the HCP list. Of the 22 research fields in ESI, Social Science, General is a broad field covering a number of WoS categories including linguistics and language & linguistics . We checked the ESI official website to obtain the yearly highly cited thresholds in the research field of Social Science , General as shown in Figure 1 ( https://esi.clarivate.com/ThresholdsAction.action ). As we can see, the longer a paper has been published, the more citations it has to receive to meet the threshold. We then divided the raw citation numbers of HCPs with the Highly Cited Thresholds in the corresponding year to obtain the normalized citations for each HCP.

Figure 1 . Highly cited thresholds in the research field of Social Sciences, General.

3.2.2. Corpus analysis and manual checking

To determine the most frequently explored topics in these HCPs, we used both corpus-based analysis of word frequency and manual checking. Specifically, the more frequently a word or phrase occurs in a specifically designed corpus, the more likely it constitutes a research topic. In this study, we built an Abstract corpus with all the abstracts of the 143 HCPs, totaling 24,800 tokens. The procedures to retrieve the research topics in the Abstract corpus were as follows. First, the 143 pieces of abstracts were saved as separate.txt files in one folder. Second, AntConc ( Anthony, 2022 ), a corpus analysis tool for concordancing and text analysis, was employed to extract lists of n-grams (2–4) in decreasing order of frequency. We also generated a list of individual nouns because sometimes individual nouns can also constitute research topics. Considering our small corpus data, we adopted both frequency (3) and range criteria (3) for topic candidacy. That is, a candidate n-gram must occur at least 3 times and in at least 3 different abstract files. The frequency threshold guarantees the importance of the candidate topics while the range threshold guarantees that the topics are not overly crowded in a few number of publications. In this process, we actually tested the frequency and range thresholds several rounds for the inclusion of all the potential topics. In total, we obtained 531 nouns, 1,330 2-grams, 331 3-grams, and 81 4-grams. Third, because most of the retrieved n-grams cannot function as meaningful research topics, we manually checked all the candidate items and discussed extensively to decide their roles as potential research topics until full agreements were reached. Finally, we read all the abstracts of the 143 HCPs to further validate their roles as research topics. In the end, we got 118 topic items in total.

4.1. Main publication venues of HCPs

Of the 48 journals which published the 143 HCPs, 17 journals have contributed at least 3 HCPs ( Table 2 ), around 71.33% of the total examined HCPs (102/143), indicating that HCPs tend to be highly concentrated in a limited number of journals. The three largest publication outlets of HCPs are Bilingualism Language and Cognition (16), International Journal of Bilingual Education and Bilingualism (11), and Modern Language Journal (10). Because each journal varies greatly in the number of papers published per year and the number of HCPs is associated with journal circulations, we divided the total number of papers (TP) in the examined years (2011–2021) with the number of the HCPs to acquire the HCP percentage for each journal (HCPs/TP). The three journals with the highest HCPs/TP percentage are Annual Review of Applied Linguistics (2.26), Modern Language Journal (2.08), and Bilingualism Language and Cognition (1.74), indicating that papers published in these journals have a higher probability to enter the HCPs list.

Table 2 . Top 17 publication venues of HCPs.

In terms of the general impact of the HCPs from each journal, we divided the number of HCPs with their total citations (TC) to obtain the average citations for each HCP (TC/HCP). The three journals with the highest TC/HCP are Journal of Memory and Language (837.86), Computational Linguistics (533.75), and Journal of Pragmatics (303.75). It indicates that even in the same WoS category, HCPs in different journals have strikingly different capability to accumulate citations. For example, the TC/HCP in System is as low as 31.73, which is even less than 4% of the highest TC/HCP in Journal of Memory and Language .

In regards to the latest journal impact factor (IF) in 2022, the top four journals with the highest IF are Computational Linguistics (7.778) , Modern Language Journal (7.5), Computer Assisted Language Learning (5.964), and Language Learning (5.24). According to the Journal Citation Reports (JCR) quantile rankings in WoS category of linguistics , all the journals on the list belong to the Q 1 (the top 25%), indicating that contributors are more likely to be attracted to contribute and cite papers in these prestigious high impact journals.

4.2. Authors of HCPs

A total of 352 authors had their names listed in the 143 HCPs, of whom 33 authors appeared in at least 2 HCPs as shown in Table 3 . We also provided in Table 3 other indicators to evaluate the authors’ productivity and impact including the total number of citations (TC), the number of citations per HCP, and the number of First author or Corresponding author HCPs (FA/CA). The reason we include the FA/CA indicator is that first authors and corresponding authors are usually considered to contribute the most and should receive greater proportion of credit in academic publications ( Marui et al., 2004 ; Dance, 2012 ).

Table 3 . Authors with at least 2 HCPs.

In terms of the number of HCPs, Dewaele JM from Birkbeck Univ London tops the list with 7 HCPs with total citations of 492 (TC = 492), followed by Li C from Huazhong Univ Sci & Technol (#HCPs = 5; TC = 215) and Saito K from UCL (#HCPs = 5; TC = 576). It is to be noted that both Li C and Saito K have close academic collaborations with Dewaele JM . For example, 3 of the 5 HCPs by Li C are co-authored with Dewaele JM . The topics in their co-authored HCPs are mostly about foreign language learning emotions such as boredom , anxiety , enjoyment , the measurement , and positive psychology .

In regards to TC, Li, W . from UCL stands out as the most influential scholar among all the listed authors with total citations of 956 from 2 HCPs, followed by Norton B from Univ British Columbia (TC = 915) and Vasishth S from Univ Potsdam (TC = 694). The average citations per HCP from them are also the highest among the listed authors (478, 305, 347, respectively). It is important to note that Li, W.’ s 2 HCPs are his groundbreaking works on translanguaging which almost become must-reads for anyone who engages in translanguaging research ( Li, 2011 , 2018 ). Besides, Li, W. single authors his 2 HCPs, which is extremely rare as HCPs are often the results from multiple researchers. Norton B ’s HCPs are exploring some core issues in applied linguistics such as identity and investment , language learning , and social change that are considered the foundational work in its field ( Norton and Toohey, 2011 ; Darvin and Norton, 2015 ).

From the perspective of FA/CA papers, Li C from Huazhong Univ Sci and Technol is prominent because she is the first author of all her 5 HCPs. Her research on language learning emotions in the Chinese context is gaining widespread recognition ( Li et al., 2018 , 2019 , 2021 ; Li, 2019 , 2021 ). However, as a newly emerging researcher, most of her HCPs are published in the very recent years and hence accumulate relatively fewer citations (TC = 215). Mondada L from Univ Basel follows closely and single authors her 3 HCPs. Her work is mostly devoted to conversation analysis , multimodality , and social interaction ( Mondada, 2016 , 2018 , 2019 ).

We need to mention the following points regarding the productive authors of HCPs. First, when we calculated the number of HCPs from each author, only the papers published in the journals indexed in the investigated WoS categories were taken in account ( linguistics; language & linguistics ), which came as a compromise to protect the linguistics oriented nature of the HCPs. For example, Brysbaert M from Ghent University claimed a total of 8 HCPs at the time of the data retrieval, of which 6 HCPs were published in WoS category of psychology and more psychologically oriented, hence not included in our study. Besides, all the authors on the author list were treated equally when we calculated the number of HCPs, disregarding the author ordering. That implies that some influential authors may not be able to enter the list as their publications are comparatively fewer. Second, as some authors reported different affiliations at their different career stages, we only provide their most recent affiliation for convenience. Third, it is highly competitive to have one’s work selected as HCPs. The fact that a majority of the HCPs authors do not appear in our productive author list does not diminish their great contributions to this field. The rankings in Table 3 does not necessarily reflect the recognition authors have earned in academia at large.

4.3. Productive countries of HCPs

In total, the 143 HCPs originated from 33 countries. The most productive countries that contributed at least three HCPs are listed in Table 4 . The USA took an overwhelming lead with 59 HCPs, followed distantly by England with 31 HCPs. They also boasted the highest total citations (TC = 15,770; TC = 9,840), manifesting their high productivity and strong influence as traditional powerhouses in linguistics research. In regards to the average citations per HCP, Germany , England and the USA were the top three countries (TC/HCP = 281.67, 281.14, and 267.29, respectively). Although China held the third position with 19 HCPs published, its TC/HCP is the third from the bottom (TC/HCP = 66.84). One of the important reasons is that 13 out of the 19 HCPs contributed by scholars in China are published in the year of 2020 or 2021. The newly published HCPs may need more time to accumulate citations. Besides, 18 out of the 19 HCPs in China are first author and/or corresponding authors, indicating that scholars in China are becoming more independent and gaining more voice in English linguistics research.

Table 4 . Top 18 countries with at least 3 HCPs.

Two points should be noted here as to the productive countries. First, we calculated the HCP contributions from the country level instead of the region level. In other words, HCP contributions from different regions of the same country will be combined in the calculation. For example, HCPs from Scotland were added to the HCPs from England . HCPs from Hong Kong , Macau , and Taiwan are put together with the HCPs from Mainland China . In this way, a clear picture of the HCPs on the country level can be painted. Second, we manually checked the address information of the first author and corresponding author for each HCP. There are some cases where the first author or the corresponding author may report affiliations from more than one country. In this case, every country in their address list will be treated equally in the FA/CA calculation. In other word, a HCP may be classified into more than one country because of the different country backgrounds of the first and/or the corresponding author.

4.4. Top 20 HCPs

The top 20 HCPs with the highest normed citations are listed in decreasing order in Table 5 . The top cited publications can guide us to better understand the development and research topics in recent years.

Table 5 . Top 20 HCPs.

By reading the titles and the abstracts of these top HCPs, we categorized the topics of the 20 HCPs into the following five groups: (i) statistical and analytical methods in (psycho)linguistics such as sentimental analysis, sentence simplification techniques, effect sizes, linear mixed models (#1, 3, 4, 6, 9, 14), (ii) language learning/teaching emotions such enjoyment, anxiety, boredom, stress (#11, 15, 16, 18, 19), (iii) translanguaging or multilinguilism (#5, 13, 20, 17), (iv) language perception (#2, 7, 10), (v) medium of instruction (#8, 12). It is no surprise that 6 out of the top 20 HCPs are about statistical methods in linguistics because language researchers aspire to employ statistics to make their research more scientific. Besides, we noticed that the papers on language teaching/learning emotions on the list are all published in the year of 2020 and 2021, indicating that these emerging topics may deserve more attention in future research. We also noticed two Covid-19 related articles (#16, 19) explored the emotions teachers and students experience during the pandemic, a timely response to the urgent need of the language learning and teaching community.

It is of special interest to note that papers from the journals indexed in multiple JCR categories seem to accumulate more citations. For example, Journal of Memory and Language , American Journal of Speech-Language Pathology , and Computational Linguistics are indexed both in SSCI and SCIE and contribute the top 4 HCPs, manifesting the advantage of these hybrid journals in amassing citations compared to the conventional language journals. Besides, different to findings from Yan et al. (2022) that most of the top HCPs in the field of radiology are reviews in document types, 19 out of the top 20 HCPs are research articles instead of reviews except Macaro et al. (2018) .

4.5. Most frequently explored topics of HCPs

After obtaining the corpus based topic items, we read all the titles and abstracts of the 143 HCPs to further validate their roles as research topics. Table 6 presents the top research topics with the observed frequency of 5 or above. We grouped these topics into five broad categories: bilingual-related, language learning/teaching-related, psycho/pathological/cognitive linguistics-related, methods and tools-related, and others . The observed frequency count for each topic in the abstract corpus were included in the brackets. We found that about 34 of the 143 HCPs are exploring bilingual related issues, the largest share among all the categorized topics, testifying its academic popularity in the examined timespan. Besides, 30 of the 143 HCPs are investigating language learning/teaching-related issues, with topics ranging from learners (e.g., EFL learners, individual difference) to multiple learning variables (e.g., learning strategy, motivation, agency). The findings here will be validated by the analysis of the keywords.

Table 6 . Categorization of the most explored research topics.

Several points should be mentioned regarding the topic candidacy. First, for similar topic expressions, we used a cover term and added the frequency counts. For example, multilingualism is a cover term for bilinguals, bilingualism, plurilingualism, and multilingualism . Second, for nouns of singular and plural forms (e.g., emotion and emotions ) or for items with different spellings (e.g., meta analysis and meta analyses ), we combined the frequency counts. Third, we found that some longer items (3 grams and 4 grams) could be subsumed to short ones (2 grams or monogram) without loss of essential meaning (e.g., working memory from working memory capacity ). In this case, the shorter ones were kept for their higher frequency. Fourth, some highly frequent terms were discarded because they were too general to be valuable topics in language research, for example, applied linguistics , language use , second language .

5. Discussion and implications

Based on 143 highly cited papers collected from the WoS categories of linguistics , the present study attempts to present a bird’s eye view of the publication landscape and the most updated research themes reflected from the HCPs in the linguistics field. Specifically, we investigated the important contributors of HCPs in terms of journals, authors and countries. Besides, we spotlighted the research topics by corpus-based analysis of the abstracts and a detailed analysis of the top HCPs. The study has produced several findings that bear important implications.

The first finding is that the HCPs are highly concentrated in a limited journals and countries. In regards to journals, those in the spheres of bilingualism and applied linguistics (e.g., language teaching and learning) are likely to accumulate more citations and hence to produce more HCPs. Journals that focus on bilingualism from a linguistic, psycholinguistic, and neuroscientific perspective are the most frequent outlets of HCPs as evidenced by the top two productive journals of HCPs, Bilingualism Language and Cognition and International Journal of Bilingual Education and Bilingualism . This can be explained by the multidisciplinary nature of bilingual-related research and the development of cognitive measurement techniques. The merits of analyzing publication venues of HCPs are two folds. One the one hand, it can point out which sources of high-quality publications in this field can be inquired for readers as most of the significant and cutting-edge achievements are concentrated in these prestigious journals. On the other hand, it also provides essential guidance or channels for authors or contributors to submit their works for higher visibility.

In terms of country distributions, the traditional powerhouses in linguistics research such as the USA and England are undoubtedly leading the HCP publications in both the number and the citations of the HCPs. However, developing countries are also becoming increasing prominent such as China and Iran , which could be traceable in the funding and support of national language policies and development policies as reported in recent studies ( Ping et al., 2009 ; Lei and Liu, 2019 ). Take China as an example. Along with economic development, China has given more impetus to academic outputs with increased investment in scientific research ( Lei and Liao, 2017 ). Therefore, researchers in China are highly motivated to publish papers in high-quality journals to win recognition in international academia and to deal with the publish or perish pressure ( Lee, 2014 ). These factors may explain the rise of China as a new emerging research powerhouse in both natural and social sciences, including English linguistics research.

The second finding is the multilingual trend in linguistics research. The dominant clustering of topics regarding multilingualism can be understood as a timely response to the multilingual research fever ( May, 2014 ). 34 out of the 143 HCPs have such words as bilingualism, bilingual, multilingualism , translanguaging , etc., in their titles, reflecting a strong multilingual tendency of the HCPs. Multilingual-related HCPs mainly involve three aspects: multilingualism from the perspectives of psycholinguistics and cognition (e.g., Luk et al., 2011 ; Leivada et al., 2020 ); multilingual teaching (e.g., Schissel et al., 2018 ; Ortega, 2019 ; Archila et al., 2021 ); language policies related to multilingualism (e.g., Shen and Gao, 2018 ). As a pedagogical process initially used to describe the bilingual classroom practice and also a frequently explored topic in HCPs, translanguaging is developed into an applied linguistics theory since Li’s Translanguaging as a Practical Theory of Language ( Li, 2018 ). The most common collocates of translanguaging in the Abstract corpus are pedagogy/pedagogies, practices, space/spaces . There are two main reasons for this multilingual turn. First, the rapid development of globalization, immigration, and overseas study programs greatly stimulate the use and research of multiple languages in different linguistic contexts. Second, in many non-English countries, courses are delivered through languages (mostly English) besides their mother tongue ( Clark, 2017 ). Students are required to use multiple languages as resources to learn and understand subjects and ideas. The burgeoning body of English Medium Instruction literature in higher education is in line with the rising interest in multilingualism. Due to the innate multidisciplinary nature, it is to be expected that, multilingualism, the topic du jour, is bound to attract more attention in the future.

The third finding is the application of Positive Psychology (PP) in second language acquisition (SLA), that is, the positive trend in linguistic research. In our analysis, 20 out of 143 HCPs have words or phrases such as emotions, enjoyment, boredom, anxiety , and positive psychology in their titles, which might signal a shift of interest in the psychology of language learners and teachers in different linguistic environments. Our study shows Foreign language enjoyment (FLE) is the most frequently explored emotion, followed by foreign language classroom anxiety (FLCA), the learners’ metaphorical left and right feet on their journey to acquiring the foreign language ( Dewaele and MacIntyre, 2016 ). In fact, the topics of PP are not entirely new to SLA. For example, studies of language motivations, affections, and good language learners all provide roots for the emergence of PP in SLA ( Naiman, 1978 ; Gardner, 2010 ). In recent years, both research and teaching applications of PP in SLA are building rapidly, with a diversity of topics already being explored such as positive education and PP interventions. It is to be noted that SLA also feeds back on PP theories and concepts besides drawing inspirations from it, which makes it “an area rich for interdisciplinary cross-fertilization of ideas” ( Macintyre et al., 2019 ).

It should be noted that subjectivity is involved when we decide and categorize the candidate topic items based on the Abstract corpus. However, the frequency and range criteria guarantee that these items are actually more explored in multiple HCPs, thus indicating topic values for further investigation. Some high frequent n-grams are abandoned because they are too general or not meaningful topics. For example, applied linguistics is too broad to be included as most of the HCPs concern issues in this research line instead of theoretical linguistics. By meaningful topics, we mean that the topics can help journal editors and readers quickly locate their interested fields ( Lei and Liu, 2019 ), as the author keywords such as bilingualism , emotions , and individual differences . The examination of the few 3/4-grams and monograms (mostly nouns) revealed that most of them were either not meaningful topics or they could be subsumed in the 2-grams. Besides, there is inevitably some overlapping in the topic categorizations. For example, some topics in the language teaching and learning category are situated and discussed within the context of multilingualism. The merits of topic categorizations are two folds: to better monitor the overlapping between the Abstract corpus-based topic items and the keywords; to roughly delineate the research strands in the HCPs for future research.

It should also be noted that all the results were based on the retrieved HCPs only. The study did not aim to paint a comprehensive and full picture of the whole landscape of linguistic research. Rather, it specifically focused on the most popular literature in a specified timeframe, thus generating the snapshots or trends in linguistic research. One of the important merits of this methodology is that some newly emerging but highly cited researchers can be spotlighted and gain more academic attention because only the metrics of HCPs are considered in calculation. On the contrary, the exclusion of some other highly cited researchers in general such as Rod Ellis and Ken Hyland just indicates that their highly cited publications are not within our investigated timeframe and cannot be interpreted as their diminishing academic influence in the field. Besides, the study does not consider the issue of collaborators or collaborations in calculating the number of HCPs for two reasons. First, although some researchers are regular collaborators such as Li CC and Dewaele JM, their individual contribution can never be undermined. Second, the study also provides additional information about the number of the FA/CA HCPs from each listed author, which may aid readers in locating their interested research.

We acknowledge that our study has some limitations that should be addressed in future research. First, our study focuses on the HCPs extracted from WoS SSCI and A&HCI journals, the alleged most celebrated papers in this field. Future studies may consider including data from other databases such as Scopus to verify the findings of the present study. Second, our Abstract corpus-based method for topic extraction involved human judgement. Although the final list was the result of several rounds of discussions among the authors, it is difficult or even impossible to avoid subjectivity and some worthy topics may be unconsciously missed. Therefore, future research may consider employing automatic algorithms to extract topics. For example, a dependency-based machine learning approach can be used to identify research topics ( Zhu and Lei, 2021 ).

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ supplementary material .

Author contributions

SY: conceptualization and methodology. SY and LZ: writing-review and editing and writing-original draft. All authors contributed to the article and approved the submitted version.

This work was supported by Humanities and Social Sciences Youth Fund of China MOE under the grant 20YJC740076 and 18YJC740141.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1052586/full#supplementary-material

Aksnes, D. W. (2003). Characteristics of highly cited papers. Res. Eval. 12, 159–170. doi: 10.3152/147154403781776645

CrossRef Full Text | Google Scholar

Anthony, L. (2022). AntConc (version 4.0.5) Tokyo, Japan: Waseda University. Available at: https://www.laurenceanthony.net/software (Accessed June 20, 2022).

Google Scholar

Archila, P. A., Molina, J., and Truscott de Mejía, A.-M. (2021). Fostering bilingual scientific writing through a systematic and purposeful code-switching pedagogical strategy. Int. J. Biling. Educ. Biling. 24, 785–803. doi: 10.1080/13670050.2018.1516189

Blessinger, K., and Hrycaj, P. (2010). Highly cited articles in library and information science: an analysis of content and authorship trends. Libr. Inf. Sci. Res. 32, 156–162. doi: 10.1016/j.lisr.2009.12.007

Chen, H., and Ho, Y. S. (2015). Highly cited articles in biomass research: a bibliometric analysis. Renew. Sust. Energ. Rev. 49, 12–20. doi: 10.1016/j.rser.2015.04.060

Clark, S. (2017). Translanguaging in higher education: beyond monolingual ideologies. Int. J. Biling. Educ. Biling. 22, 1048–1051. doi: 10.1080/13670050.2017.1322568

Dance, A. (2012). Authorship: Who’s on first? Nature 489, 591–593. doi: 10.1038/nj7417-591a

PubMed Abstract | CrossRef Full Text | Google Scholar

Danell, R. (2011). Can the quality of scientific work be predicted using information on the author’s track record? J. Am. Soc. Inf. Sci. Technol. 62, 50–60. doi: 10.1002/asi.21454

Darvin, R., and Norton, B. (2015). Identity and a model of Investment in Applied Linguistics. Annu. Rev. Appl. Linguist. 35, 36–56. doi: 10.1017/S0267190514000191

Dewaele, J.-M., and MacIntyre, P. D. (2016). “Foreign language enjoyment and foreign language classroom anxiety: the right and left feet of the language learner” in Positive psychology in SLA . eds. D. M. Peter, G. Tammy, and M. Sarah (Bristol, Blue Ridge Summit: Multilingual Matters), 215–236.

Gardner, R. (2010). Motivation and second language acquisition: The socio-educational model . New York: Peter Lang.

Gong, Y., Lyu, B., and Gao, X. (2018). Research on teaching Chinese as a second or foreign language in and outside mainland China: a bibliometric analysis. Asia Pac. Educ. Res. 27, 277–289. doi: 10.1007/s40299-018-0385-2

Hsu, Y., and Ho, Y. S. (2014). Highly cited articles in health care sciences and services field in science citation index Expanded. Methods Inf. Med. 53, 446–458. doi: 10.3414/ME14-01-0022

Lee, I. (2014). Publish or perish: the myth and reality of academic publishing. Lang. Teach. 47, 250–261. doi: 10.1017/S0261444811000504

Lei, L., and Liao, S. (2017). Publications in linguistics journals from mainland China, Hong Kong, Taiwan, and Macau (2003–2012): a bibliometric analysis. J. Quant. Ling. 24, 54–64. doi: 10.1080/09296174.2016.1260274

Lei, L., and Liu, D. (2018). The research trends and contributions of System’s publications over the past four decades (1973–2017): a bibliometric analysis. System 80, 1–13. doi: 10.1016/j.system.2018.10.003

Lei, L., and Liu, D. (2019). Research trends in applied linguistics from 2005 to 2016: a bibliometric analysis and its implications. Appl. Linguis. 40, 540–561. doi: 10.1093/applin/amy003

Leivada, E., Westergaard, M., Duabeitia, J. A., and Rothman, J. (2020). On the phantom-like appearance of bilingualism effects on neurocognition: (how) should we proceed? Biling. Lang. Congn. 24, 197–210. doi: 10.1017/S1366728920000358

Li, W. (2011). Moment analysis and translanguaging space: discursive construction of identities by multilingual Chinese youth in Britain. Energy Fuel 43, 1222–1235. doi: 10.1016/j.pragma.2010.07.035

Li, W. (2018). Translanguaging as a practical theory of language. Appl. Linguis. 39, 9–30. doi: 10.1093/applin/amx039

Li, C. (2019). A positive psychology perspective on Chinese EFL students’ trait emotional intelligence, foreign language enjoyment and EFL learning achievement. J. Multiling. Multicult. Dev. 41, 246–263. doi: 10.1080/01434632.2019.1614187

Li, C. (2021). A control-value theory approach to boredom in English classes among university students in China. Mod. Lang. J. 105, 317–334. doi: 10.1111/modl.12693

Li, C., Dewaele, J. M., and Hu, Y. (2021). Foreign language learning boredom: conceptualization and measurement. Appl. Ling. Rev. doi: 10.1515/applirev-2020-0124

Li, C., Dewaele, J. M., and Jiang, G. (2019). The complex relationship between classroom emotions and EFL achievement in China. Appl. Ling. Rev. 11, 485–510. doi: 10.1515/applirev-2018-0043

Li, C., Jiang, G., and Jean-Marc, D. (2018). Understanding Chinese high school students’ foreign language enjoyment: validation of the Chinese version of the foreign language enjoyment scale. System 76, 183–196. doi: 10.1016/j.system.2018.06.004

Liao, S., and Lei, L. (2017). What we talk about when we talk about corpus: a bibliometric analysis of corpus-related research in linguistics (2000-2015). Glottometrics 38, 1–20.

Liao, H., Tang, M., Li, Z., and Lev, B. (2018). Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on essential science indicators. Omega 88, 223–236. doi: 10.1016/j.omega.2018.11.005

Luk, G., Sa, E. D., and Bialystok, E. (2011). Is there a relation between onset age of bilingualism and enhancement of cognitive control? Biling. Lang. Cogn. 14, 588–595. doi: 10.1017/S1366728911000010

Macaro, E., Curle, S., Pun, J., and Dearden, J. (2018). A systematic review of English medium instruction in higher education. Lang. Teach. 51, 36–76. doi: 10.1017/S0261444817000350

Macintyre, P., Gregersen, T., and Mercer, S. (2019). Setting an agenda for positive psychology in SLA: theory, practice, and research. Mod. Lang. J. 103, 262–274. doi: 10.1111/modl.12544

Mancebo, F. P., Sapena, A. F., Herrera, M. V., González, L., Toca, H., and Benavent, R. A. (2013). Scientific literature analysis of judo in web of science. Arch. Budo 9, 81–91. doi: 10.12659/AOB.883883

Marui, M., Bozikov, J., Katavi, V., Hren, D., Kljakovi-Gapi, M., and Marui, A. (2004). Authorship in a small medical journal: a study of contributorship statements by corresponding authors. Sci. Eng. Ethics 10, 493–502. doi: 10.1007/s11948-004-0007-7

May, S. (2014). The multilingual turn: Implications for SLA, TESOL and bilingual education . New York: Routledge.

Mondada, L. (2016). Challenges of multimodality: language and the body in social interaction. J. Socioling. 20, 336–366. doi: 10.1111/josl.1_12177

Mondada, L. (2018). Multiple temporalities of language and body in interaction: challenges for transcribing multimodality. Res. Lang. Soc. Interact. 51, 85–106. doi: 10.1080/08351813.2018.1413878

Mondada, L. (2019). Contemporary issues in conversation analysis: embodiment and materiality, multimodality and multisensoriality in social interaction. J. Pragmat. 145, 47–62. doi: 10.1016/j.pragma.2019.01.016

Naiman, N. (1978). The good language learner . Clevedon, UK: Multilingual Matters.

Newman, M. (2008). The first-mover advantage in scientific publication. Eplasty 86, 68001–68006. doi: 10.1209/0295-5075/86/68001

Newman, M. (2014). Prediction of highly cited papers. Eplasty 105:28002. doi: 10.1209/0295-5075/105/28002

Norton, B., and Toohey, K. (2011). Identity, language learning, and social change. Lang. Teach. 44, 412–446. doi: 10.1017/S0261444811000309

Ortega, L. (2019). SLA and the study of equitable multilingualism. Mod. Lang. J. 103, 23–38. doi: 10.1111/modl.12525

Ping, Z., Thijs, B., and Glnzel, W. (2009). Is China also becoming a giant in social sciences? Scientometrics 79, 593–621. doi: 10.1007/s11192-007-2068-x

Pritchard, A. (1969). Statistical bibliography or bibliometrics. J. Doc. 25, 348–349.

Ríos, L. J. C., Tamao, I. M., and Olmos, J. (2013). Bibliometric study (1922-2009) on rugby articles in research journals. South Afr. J. Res. Sport Phys. Educ. Rec. 17, 313–109. doi: 10.3176/tr.2013.3.06

Ruggeri, G., Orsi, L., and Corsi, S. (2019). A bibliometric analysis of the scientific literature on Fairtrade labelling. Int. IJC 43, 134–152. doi: 10.1111/ijcs.12492

Sabiote, C. R., and Rodríguez, J. A. (2015). Bibliometric study and methodological quality indicators of the journal porta Linguarum during six year period 2008-2013. Porta Ling. 24, 135–150. doi: 10.30827/Digibug.53866

Schissel, J. L., De Korne, H., and López-Gopar, M. E. (2018). Grappling with translanguaging for teaching and assessment in culturally and linguistically diverse contexts: teacher perspectives from Oaxaca, Mexico. Int. J. Biling. Educ. Biling. 24, 340–356. doi: 10.1080/13670050.2018.1463965

Shen, Q., and Gao, X. (2018). Multilingualism and policy making in greater China: ideological and implementational spaces. Lang. Policy 18, 1–16. doi: 10.1007/s10993-018-9473-7

Small, H. (2004). Why authors think their papers are highly cited. Scientometrics 60, 305–316. doi: 10.1023/B:SCIE.0000034376.55800.18

Smith, D. R. (2007). The New Zealand timber economy, 1840–1935. N. Z. Med. J. 120, U2871–U2313. doi: 10.1016/0305-7488(90)90044-C

van Doorslaer, L., and Gambier, Y. (2015). Measuring relationships in translation studies. On affiliations and keyword frequencies in the translation studies bibliography. Perspectives 23, 305–319. doi: 10.1080/0907676X.2015.1026360

van Oorschot, J. A. W. H., Hofman, E., and Halman, J. (2018). A bibliometric review of the innovation adoption literature. Technol. Forecast. Soc. Chang. 134, 1–21. doi: 10.1016/j.techfore.2018.04.032

Xie, Z., and Willett, P. (2013). The development of computer science research in the People’s republic of China 2000–2009: a bibliometric study. Inf. Dev. 29, 251–264. doi: 10.1177/0266666912458515

Yan, S., Zhang, H., and Wang, J. (2022). Trends and hot topics in radiology, nuclear medicine and medical imaging from 2011–2021: a bibliometric analysis of highly cited papers. Jpn. J. Radiol. 40, 847–856. doi: 10.1007/s11604-022-01268-z

Zhu, H., and Lei, L. (2021). A dependency-based machine learning approach to the identification of research topics: a case in COVID-19 studies. Lib. Hi Tech 40, 495–515. doi: 10.1108/LHT-01-2021-0051

Zhu, H., and Lei, L. (2022). The research trends of text classification studies (2000–2020): a bibliometric analysis. SAGE Open 12, 215824402210899–215824402210816. doi: 10.1177%2F21582440221089963

Keywords: bibliometric analysis, linguistics, highly cited papers, corpus analysis, research trends

Citation: Yan S and Zhang L (2023) Trends and hot topics in linguistics studies from 2011 to 2021: A bibliometric analysis of highly cited papers. Front. Psychol . 13:1052586. doi: 10.3389/fpsyg.2022.1052586

Received: 24 September 2022; Accepted: 23 December 2022; Published: 11 January 2023.

Reviewed by:

Copyright © 2023 Yan and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Le Zhang, ✉ [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Study traces an infectious language epidemic

"Sticks and stones may break my bones," the old adage goes. "But words will never hurt me."

Tell that to Eugenia Rho, assistant professor in the Department of Computer Science, and she will show you extensive data that prove otherwise.

Her Society + AI & Language Lab has shown that

• Police language is an accurate predictor of violent interactions with Black motorists.
• Broadcast media bias and social media echo chambers have put American democracy at risk.

Now, Rho's research team in the College of Engineering has turned to another question: what effects did social media rhetoric have on COVID-19 infection and death rates across the United States, and what can policymakers and public health officials learn from that?

"A lot of studies just describe what's happening online. Often they do not show a direct link with offline behaviors," Rho said. "But there is a tangible way to connect online behavior with offline decision making."

Cause and effect

During the COVID-19 pandemic, social media became a mass gathering place for opposition to public health guidance, such as mask wearing, social distancing, and vaccines. Escalating misinformation encouraged widespread disregard for preventive measures and led to soaring infection rates, overwhelmed hospitals, health care worker shortages, preventable deaths, and economic losses.

During a one-month period between November and December 2021, more than 692,000 preventable hospitalizations were reported among unvaccinated patients, according to a 2022 study published in the Yale Journal of Biology and Medicine. Those hospitalizations alone cost a staggering $13.8 billion.

In the study, Rho's team, including Ph.D. student Xiaohan Ding, developed a technique that trained the chatbot GPT-4 to analyze posts in several banned subreddit discussion groups that opposed COVID-19 prevention measures. The team focused on Reddit because its data was available, Rho said. Many other social media platforms have barred outside researchers from using their data.

Rho's work is grounded in a social science framework called Fuzzy Trace Theory that was pioneered by Valerie Reyna, a Cornell University professor of psychology and a collaborator on this Virginia Tech project. Reyna has shown that individuals learn and recall information better when it is expressed in a cause and effect relationship, and not just as rote information. This holds true even if the information is inaccurate or the implied connection is weak. Reyna calls this cause-and-effect construction a "gist."

The researchers worked to answer four fundamental questions related to gists on social media:

• How can we efficiently predict gists across social media discourse at a national scale?
• What kind of gists characterize how and why people oppose COVID-19 public health practices, and how do these gists evolve over time across key events?
• Do gist patterns significantly predict patterns in online engagement across users in banned subreddits that oppose COVID-19 health practices?
• Do gist patterns significantly predict trends in national health outcomes?

The missing link

Rho's team used prompting techniques in large language models (LLMs) -- a type of artificial intelligence (AI) program -- along with advanced statistics to search for and then track these gists across banned subreddit groups. The model then compared them to COVID-19 milestones, such as infection rates, hospitalizations, deaths, and related public policy announcements.

The results show that, indeed, social media posts that linked a cause, such as "I got the COVID vaccine," with an effect, such as "I've felt like death ever since," quickly showed up in people's beliefs and affected their offline health decisions. In fact, the total and new daily COVID-19 cases in the U.S. could be significantly predicted by the volume of gists on banned subreddit groups.

This is the first AI research to empirically link social media linguistic patterns to real-world public health trends, highlighting the potential of these large language models to identify critical online discussion patterns and point to more effective public health communication strategies.

"This study solves a daunting problem: how to connect the cognitive building blocks of meaning that people actually use to the flow of information across social media and into the world of health outcomes," Reyna said. "This prompt-based LLM framework that identifies gists at scale has many potential applications that can promote better health and wellbeing."

Big data, big impact

Rho said she hopes this study will encourage other researchers to bring these methods to bear on important questions. To that end, the code used in this project will be made freely available when the paper publishes in the Proceedings of the Association of Computing Machinery Conference on Human Factors in Computing Systems. The paper also compares the cost of various ways researchers can analyze big datasets and extract meaningful conclusions at lower cost. The team will present its findings May 11-16 in Honolulu, Hawaii.

Outside of academia, Rho said she hopes this work will encourage social media platforms and other stakeholders to find alternatives to deleting or banning groups that discuss controversial topics.

"Simply banning people in online communities altogether, especially in spaces where they are already exchanging and learning health information, can risk driving them deeper into conspiracy theories and force them onto platforms that don't moderate content at all," Rho said. "I hope this study can inform how social media companies work hand-in-hand with public health officials and organizations to better engage and understand what's going on in the public's mind during public health crises."

• Social Psychology
• Relationships
• Language Acquisition
• Public Health
• STEM Education
• Media and Entertainment
• Social Issues
• National security
• Great Ape language
• Public health
• Road-traffic safety
• Psychologist
• Psycholinguistics

Story Source:

Materials provided by Virginia Tech . Original written by Tonia Moxley. Note: Content may be edited for style and length.

Journal Reference :

• Xiaohan Ding, Buse Carik, Uma Sushmitha Gunturi, Valerie Reyna, Eugenia H. Rho. Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language . Submitted to arXiv , 2024 DOI: https://doi.org/10.48550/arXiv.2403.00994

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130+ Original Linguistics Research Topics: Ideas To Focus On

Linguistics is an exciting course to learn. Unfortunately, writing a research paper or essay or write my thesis in linguistics is not as easy. Many students struggle to find a good research topic to write about. Finding a good research topic is crucial because it is the foundation of your paper. It will guide your research and dictate what you write.

Creative Language Research Topics

Argumentative research titles about language, english language research topics for stem students, social media research topics about language, the best quantitative research topics about language, more creative sociolinguistics research topics, research topics in english language education for students, top thesis topics in language, creative language and gender research topics, language education research topics on social issues, research title about language acquisition.

Most students turn to the internet to find research paper topics. Sadly, most sources provide unoriginal and basic topics. For this reason, this article provides some creative sample research topics for English majors.

Linguistics is a fascinating subject with so many research topic options. Check out the following creative research topics in language

• How you can use linguistic patterns to locate migration paths
• Computers and their effect on language creation
• The internet and its impacts on modern language
• Has text messages helped create a new linguistic culture?
• Language and change; how social changes influence language development
• How language changes over time
• How effective is non-verbal communication in communicating emotions?
• Verbal communication and emotional displays: what is the link?
• The negative power of language in internet interactions
• How words change as society develops
• Is the evolution of languages a scientific concept?
• Role of technology in linguistics

Argumentative essay topics should state your view on a subject so you can create content to defend the view and convince others that it is logical and well-researched. Here are some excellent language research titles examples

• Society alters words and their meanings over time
• Children have a better grasp of new language and speech than adults
• Childhood is the perfect time to develop speech
• Individuals can communicate without a shared language
• Learning more than one language as a child can benefit individuals in adulthood
• Elementary schools should teach students a second language
• Language acquisition changes at different growth stages
• The impact of technology on linguistics
• Language has significant power to capitalize on emotions
• The proper use of language can have positive impacts on society

Research topics for STEM students do not differ much from those for college and high school students. However, they are slightly more targeted. Find an excellent research title about language for your paper below:

• How does language promote gender differences?
• Music and language evolution: the correlation
• Slang: development and evolution in different cultures
• Can language create bonds among cross-cultural societies?
• Formal vs informal language: what are the differences?
• Age and pronunciation: what is the correlation?
• How languages vary across STEM subjects
• Are STEM students less proficient in languages?
• The use of language in the legal sector
• The importance of non-verbal communication and body language
• How politeness is perceived through language choices and use
• The evolution of English through history

Did you know you can find excellent social media research topics if you do it right? Check out the following social media language research titles:

• The role of the internet in promoting language acquisition
• A look at changes in languages since social media gained traction
• How social media brings new language
• How effective are language apps in teaching foreign languages?
• The popularity of language applications among learners
• A study of the impact of the internet on the spreading of slang
• Social media as a tool for promoting hate language
• Free speech vs hate speech: what is the difference?
• How social media platforms can combat hate language propagation
• How can social media users express emotions through written language?
• Political censorship and its impact on the linguistics applied in the media
• The differences between social media and real-life languages

A language research title can be the foundation of your quantitative research. Find some of the best examples of research topics for English majors here:

• Language barriers in the healthcare sector
• What percentage of kids below five struggle with languages?
• Understanding the increase in multilingual people
• Language barriers and their impact on effective communication
• Social media and language: are language barriers existent in social media?
• Bilingualism affects people’s personalities and temperaments
• Can non-native teachers effectively teach local students the English language?
• Bilingualism and its impact on social perceptions
• The new generative grammar concept: an in-depth analysis
• Racist language: its history and impacts
• A look into examples of endangered languages
• Attitudes toward a language and how it can impact language acquisition

You can choose a research topic about language based on social issues, science concerns like biochemistry topics , and much more. Sociolinguistics is the study of the correlation between language and society and the application of language in various social situations. Here are some excellent research topics in sociolinguistics:

• An analysis of how sociolinguistics can help people understand multi-lingual language choices
• An analysis of sociolinguistics through America’s color and race background
• The role of sociolinguistics in children development
• Comparing sociolinguistics and psycholinguistics
• Sociolinguistics and gender empowerment: an analysis of their correlation
• How media houses use sociolinguistics to create bias and gain a competitive advantage
• The value of sociolinguistics education in the teaching of discipline
• The role played by sociolinguistics in creating social change throughout history
• Research methods used in sociolinguistics
• Different sociolinguistics and their role in English evolution
• Sociolinguistics: an in-depth analysis
• What is sociolinguistics, and what is its role in language evolution?

A good research topic in English will serve as the guiding point for your research paper. Find a suitable research topic for English majors below:

• Types of indigenous languages
• Language s an essential element of human life
• Language as the primary communication medium
• The value of language in society
• The negative side of coded language
• School curriculums and how they influence languages
• Linguistics: a forensic language
• Elements that influence people’s ability to learn a new language
• The development of the English language
• How the English language borrows from other languages
• Multilingualism: an insight
• The correlation between metaphors and similes

Many students struggle to find good thesis topics in language and linguistics. As you read more on the thesis statement about social media , make sure you also understand every thesis title about language from the following examples:

• The classification of human languages
• The application of different tools in language identification
• The role of linguists in language identification
• The contributions of Greek philosophers to language development
• The origin of language: early speculations
• The history of language through the scope of mythology
• Theories that explain the origin and development of language
• Is language the most effective form of communication
• The impact of brain injuries on language
• Language impacts on sports
• Linguistics intervention that won’t work in this century
• Language as a system of symbols

Just like economic research paper topics , gender and language topics do not have to stick to the norms or the standards by which all students write. You can exercise some creativity when creating your topic. Discover a topic about language and gender from this list:

• Language and gender: what is the correlation?
• How different genders perceive language
• Does a kid’s gender influence their grasp of languages?
• Men vs Women: a statistical overview of their multilingual prowess.
• The perception of language from the female standpoint
• The difference between female and male language use
• The use of language as a tool for connection between females and males
• Does gender have an impact on efficient communication
• Does gender impact word choices in conversations?
• Females have an easier time learning two or more languages
• What makes female and male language choices differ?
• Are females better at communicating using spoken language?

There are many social issues related to language education that you can cover in your research paper. Check out the following topics about language related to social issues research topics for your research:

• Language translation: what makes it possible
• How does the mother tongue influence pronunciation?
• Issues that encourage people to learn different languages
• Sign language: origin and more
• Role of language in solving conflicts
• Language and mental health: a vivid analysis
• The similarities between English and French languages
• Language disorders: an overview
• Common barriers to language acquisition
• The impact of mother tongue on effective communication
• Reasons you should learn two or more languages
• The benefits of multilingualism in the corporate world
• Language and identity: what is the correlation?

Language acquisition is the process by which people gain the ability to understand and produce language. Like anatomy research paper topics , language acquisition is a great area to focus your linguistics research. Here are some research questions that bring the focus of the study of linguistic and language acquisition:

• Language acquisition: an overview
• What attitudes do people have about language acquisition
• How attitude can impact language acquisition
• The evolution of language acquisition over time
• Language and ethnicity: their correlation
• Do native English speakers have an easier time acquiring new languages?
• A case study on political language
• Why is language acquisition a key factor in leadership
• Language acquisition and mother tongue pronunciation: the link
• Ambiguity as a barrier to language acquisition
• How words acquire their meanings

While a good topic can help capture the reader and create a good impression, it is insufficient to earn you excellent grades. You also need quality content for your paper to get perfect grades. However, creating a high-quality research paper takes time, effort, and skill, which most students do not have.

For these reasons, we offer quality research paper writing services for all students. We guarantee quality papers, timely deliveries, and originality. Reach out to our writers for top linguistics research papers today!

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Observation

The littlest linguists: new research on language development.

• Bilingualism
• Developmental Psychology
• Language Development

How do children learn language, and how is language related to other cognitive and social skills? For decades, the specialized field of developmental psycholinguistics has studied how children acquire language—or multiple languages—taking into account biological, neurological, and social factors that influence linguistic developments and, in turn, can play a role in how children learn and socialize. Here’s a look at recent research (2020–2021) on language development published in Psychological Science . 

Preverbal Infants Discover Statistical Word Patterns at Similar Rates as Adults: Evidence From Neural Entrainment

Dawoon Choi, Laura J. Batterink, Alexis K. Black, Ken A. Paller, and Janet F. Werker (2020)

One of the first challenges faced by infants during language acquisition is identifying word boundaries in continuous speech. This neurological research suggests that even preverbal infants can learn statistical patterns in language, indicating that they may have the ability to segment words within continuous speech.

Using electroencephalogram measures to track infants’ ability to segment words, Choi and colleagues found that 6-month-olds’ neural processing increasingly synchronized with the newly learned words embedded in speech over the learning period in one session in the laboratory. Specifically, patterns of electrical activity in their brains increasingly aligned with sensory regularities associated with word boundaries. This synchronization was comparable to that seen among adults and predicted future ability to discriminate words.

These findings indicate that infants and adults may follow similar learning trajectories when tracking probabilities in speech, with both groups showing a logarithmic (rather than linear) increase in the synchronization of neural processing with frequent words. Moreover, speech segmentation appears to use neural mechanisms that emerge early in life and are maintained throughout adulthood.

Parents Fine-Tune Their Speech to Children’s Vocabulary Knowledge

Ashley Leung, Alexandra Tunkel, and Daniel Yurovsky (2021)

Children can acquire language rapidly, possibly because their caregivers use language in ways that support such development. Specifically, caregivers’ language is often fine-tuned to children’s current linguistic knowledge and vocabulary, providing an optimal level of complexity to support language learning. In their new research, Leung and colleagues add to the body of knowledge involving how caregivers foster children’s language acquisition.

The researchers asked individual parents to play a game with their child (age 2–2.5 years) in which they guided their child to select a target animal from a set. Without prompting, the parents provided more informative references for animals they thought their children did not know. For example, if a parent thought their child did not know the word “leopard,” they might use adjectives (“the spotted, yellow leopard”) or comparisons (“the one like a cat”). This indicates that parents adjust their references to account for their children’s language knowledge and vocabulary—not in a simplifying way but in a way that could increase the children’s vocabulary. Parents also appeared to learn about their children’s knowledge throughout the game and to adjust their references accordingly.

Infant and Adult Brains Are Coupled to the Dynamics of Natural Communication

Elise A. Piazza, Liat Hasenfratz, Uri Hasson, and Casey Lew-Williams (2020)

This research tracked real-time brain activation during infant–adult interactions, providing an innovative measure of social interaction at an early age. When communicating with infants, adults appear to be sensitive to subtle cues that can modify their brain responses and behaviors to improve alignment with, and maximize information transfer to, the infants.

Piazza and colleagues used functional near-infrared spectroscopy—a noninvasive measure of blood oxygenation resulting from neural activity that is minimally affected by movements and thus allows participants to freely interact and move—to measure the brain activation of infants (9–15 months old) and adults while they communicated and played with each other. An adult experimenter either engaged directly with an infant by playing with toys, singing nursery rhymes, and reading a story or performed those same tasks while turned away from the child and toward another adult in the room.

Results indicated that when the adult interacted with the child (but not with the other adult), the activations of many prefrontal cortex (PFC) channels and some parietal channels were intercorrelated, indicating neural coupling of the adult’s and child’s brains. Both infant and adult PFC activation preceded moments of mutual gaze and increased before the infant smiled, with the infant’s PFC response preceding the adult’s. Infant PFC activity also preceded an increase in the pitch variability of the adult’s speech, although no changes occurred in the adult’s PFC, indicating that the adult’s speech influenced the infant but probably did not influence neural coupling between the child and the adult.

Theory-of-Mind Development in Young Deaf Children With Early Hearing Provisions

Chi-Lin Yu, Christopher M. Stanzione, Henry M. Wellman, and Amy R. Lederberg (2020)

Language and communication are important for social and cognitive development. Although deaf and hard-of-hearing (DHH) children born to deaf parents can communicate with their caregivers using sign language, most DHH children are born to hearing parents who do not have experience with sign language. These children may have difficulty with early communication and experience developmental delays. For instance, the development of theory of mind—the understanding of others’ mental states—is usually delayed in DHH children born to hearing parents.

Yu and colleagues studied how providing DHH children with hearing devices early in life (before 2 years of age) might enrich their early communication experiences and benefit their language development, supporting the typical development of other capabilities—in particular, theory of mind. The researchers show that 3- to 6-year-old DHH children who began using cochlear implants or hearing aids earlier had more advanced language abilities, leading to better theory-of-mind growth, than children who started using hearing provisions later. These findings highlight the relationships among hearing, language, and theory of mind.

The Bilingual Advantage in Children’s Executive Functioning Is Not Related to Language Status: A Meta-Analytic Review

Cassandra J. Lowe, Isu Cho, Samantha F. Goldsmith, and J. Bruce Morton (2021)

Acommon idea is that bilingual children, who grow up speaking two languages fluently, perform better than monolingual children in diverse executive-functioning domains (e.g., attention, working memory, decision making). This meta-analysis calls that idea into question.

Lowe and colleagues synthesized data from studies that compared the performance of monolingual and bilingual participants between the ages of 3 and 17 years in executive-functioning domains (1,194 effect sizes). They found only a small effect of bilingualism on participants’ executive functioning, which was largely explained by factors such as publication bias. After accounting for these factors, bilingualism had no distinguishable effect. The results of this large meta-analysis thus suggest that bilingual and monolingual children tend to perform at the same level in executive-functioning tasks. Bilingualism does not appear to boost performance in executive functions that serve learning, thinking, reasoning, or problem solving.

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“When families are informed about the importance of conversational interaction and are provided training, they become active communicators and directly contribute to reducing the word gap (Leung et al., 2020).”

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How Much Research Is Being Written by Large Language Models?

New studies show a marked spike in LLM usage in academia, especially in computer science. What does this mean for researchers and reviewers?

In March of this year, a  tweet about an academic paper went viral for all the wrong reasons. The introduction section of the paper, published in  Elsevier’s  Surfaces and Interfaces , began with this line:  Certainly, here is a possible introduction for your topic. 

Look familiar? 

It should, if you are a user of ChatGPT and have applied its talents for the purpose of content generation. LLMs are being increasingly used to assist with writing tasks, but examples like this in academia are largely anecdotal and had not been quantified before now. 

“While this is an egregious example,” says  James Zou , associate professor of biomedical data science and, by courtesy, of computer science and of electrical engineering at Stanford, “in many cases, it’s less obvious, and that’s why we need to develop more granular and robust statistical methods to estimate the frequency and magnitude of LLM usage. At this particular moment, people want to know what content around us is written by AI. This is especially important in the context of research, for the papers we author and read and the reviews we get on our papers. That’s why we wanted to study how much of those have been written with the help of AI.”

In two papers looking at LLM use in scientific publishings, Zou and his team* found that 17.5% of computer science papers and 16.9% of peer review text had at least some content drafted by AI. The paper on LLM usage in peer reviews will be presented at the International Conference on Machine Learning.

Read  Mapping the Increasing Use of LLMs in Scientific Papers and  Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews  

Here Zou discusses the findings and implications of this work, which was supported through a Stanford HAI Hoffman Yee Research Grant . 

How did you determine whether AI wrote sections of a paper or a review?

We first saw that there are these specific worlds – like commendable, innovative, meticulous, pivotal, intricate, realm, and showcasing – whose frequency in reviews sharply spiked, coinciding with the release of ChatGPT. Additionally, we know that these words are much more likely to be used by LLMs than by humans. The reason we know this is that we actually did an experiment where we took many papers, used LLMs to write reviews of them, and compared those reviews to reviews written by human reviewers on the same papers. Then we quantified which words are more likely to be used by LLMs vs. humans, and those are exactly the words listed. The fact that they are more likely to be used by an LLM and that they have also seen a sharp spike coinciding with the release of LLMs is strong evidence.

Some journals permit the use of LLMs in academic writing, as long as it’s noted, while others, including  Science and the ICML conference, prohibit it. How are the ethics perceived in academia?

This is an important and timely topic because the policies of various journals are changing very quickly. For example,  Science said in the beginning that they would not allow authors to use language models in their submissions, but they later changed their policy and said that people could use language models, but authors have to explicitly note where the language model is being used. All the journals are struggling with how to define this and what’s the right way going forward.

You observed an increase in usage of LLMs in academic writing, particularly in computer science papers (up to 17.5%). Math and  Nature family papers, meanwhile, used AI text about 6.3% of the time. What do you think accounts for the discrepancy between these disciplines? 

Artificial intelligence and computer science disciplines have seen an explosion in the number of papers submitted to conferences like ICLR and NeurIPS. And I think that’s really caused a strong burden, in many ways, to reviewers and to authors. So now it’s increasingly difficult to find qualified reviewers who have time to review all these papers. And some authors may feel more competition that they need to keep up and keep writing more and faster. 

You analyzed close to a million papers on arXiv, bioRxiv, and  Nature from January 2020 to February 2024. Do any of these journals include humanities papers or anything in the social sciences?  

We mostly wanted to focus more on CS and engineering and biomedical areas and interdisciplinary areas, like  Nature family journals, which also publish some social science papers. Availability mattered in this case. So, it’s relatively easy for us to get data from arXiv, bioRxiv, and  Nature . A lot of AI conferences also make reviews publicly available. That’s not the case for humanities journals.

Did any results surprise you?

A few months after ChatGPT’s launch, we started to see a rapid, linear increase in the usage pattern in academic writing. This tells us how quickly these LLM technologies diffuse into the community and become adopted by researchers. The most surprising finding is the magnitude and speed of the increase in language model usage. Nearly a fifth of papers and peer review text use LLM modification. We also found that peer reviews submitted closer to the deadline and those less likely to engage with author rebuttal were more likely to use LLMs. 

This suggests a couple of things. Perhaps some of these reviewers are not as engaged with reviewing these papers, and that’s why they are offloading some of the work to AI to help. This could be problematic if reviewers are not fully involved. As one of the pillars of the scientific process, it is still necessary to have human experts providing objective and rigorous evaluations. If this is being diluted, that’s not great for the scientific community.

What do your findings mean for the broader research community?

LLMs are transforming how we do research. It’s clear from our work that many papers we read are written with the help of LLMs. There needs to be more transparency, and people should state explicitly how LLMs are used and if they are used substantially. I don’t think it’s always a bad thing for people to use LLMs. In many areas, this can be very useful. For someone who is not a native English speaker, having the model polish their writing can be helpful. There are constructive ways for people to use LLMs in the research process; for example, in earlier stages of their draft. You could get useful feedback from a LLM in real time instead of waiting weeks or months to get external feedback. 

But I think it’s still very important for the human researchers to be accountable for everything that is submitted and presented. They should be able to say, “Yes, I will stand behind the statements that are written in this paper.”

*Collaborators include:  Weixin Liang ,  Yaohui Zhang ,  Zhengxuan Wu ,  Haley Lepp ,  Wenlong Ji ,  Xuandong Zhao ,  Hancheng Cao ,  Sheng Liu ,  Siyu He ,  Zhi Huang ,  Diyi Yang ,  Christopher Potts ,  Christopher D. Manning ,  Zachary Izzo ,  Yaohui Zhang ,  Lingjiao Chen ,  Haotian Ye , and Daniel A. McFarland .

Stanford HAI’s mission is to advance AI research, education, policy and practice to improve the human condition.  Learn more . 

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New Research Trends in Chinese Linguistics: Section Introduction

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This chapter summarizes the chapters in Section I of The Palgrave Handbook of Chinese Language Studies which discuss recent developments in various fields of Chinese linguistics by linguists in mainland China and elsewhere.

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Institute of Linguistics, Chinese Academy of Social Sciences, Beijing, China

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School of Literature, Languages and Ling, The Australian National University, Acton, ACT, Australia

Zhengdao Ye

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© 2022 The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

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Wan, Q. (2022). New Research Trends in Chinese Linguistics: Section Introduction. In: Ye, Z. (eds) The Palgrave Handbook of Chinese Language Studies. Palgrave Macmillan, Singapore. https://doi.org/10.1007/978-981-13-6844-8_9-1

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DOI : https://doi.org/10.1007/978-981-13-6844-8_9-1

Received : 01 April 2020

Accepted : 08 October 2021

Published : 05 February 2022

Publisher Name : Palgrave Macmillan, Singapore

Print ISBN : 978-981-13-6844-8

Online ISBN : 978-981-13-6844-8

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