Journal of East Asian Linguistics

377 papers and 4.7k indexed citations i.

About

The 377 papers published in Journal of East Asian Linguistics in the last decades have received a total of 4.7k indexed citations. Papers published in Journal of East Asian Linguistics usually cover Language and Linguistics (301 papers), Artificial Intelligence (205 papers) and Experimental and Cognitive Psychology (162 papers) specifically the topics of Syntax, Semantics, Linguistic Variation (287 papers), Natural Language Processing Techniques (176 papers) and Linguistic Variation and Morphology (127 papers). The most active scholars publishing in Journal of East Asian Linguistics are Mamoru Saitō, Ping Li, Akira Watanabe, Jo-wang Lin, Wei-Tien Dylan Tsai, Moira Yip, Soo-Won Kim, Yuji Takano, San Duanmu and Daiko Takahashi.

In The Last Decade

Fields of papers published in Journal of East Asian Linguistics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of East Asian Linguistics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of East Asian Linguistics.

Countries where authors publish in Journal of East Asian Linguistics

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of East Asian Linguistics. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Journal of East Asian Linguistics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of East Asian Linguistics more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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