Yunchuan Chen

1.1k total citations · 1 hit paper
13 papers, 515 citations indexed

About

Yunchuan Chen is a scholar working on Artificial Intelligence, Language and Linguistics and Cognitive Neuroscience. According to data from OpenAlex, Yunchuan Chen has authored 13 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Language and Linguistics and 5 papers in Cognitive Neuroscience. Recurrent topics in Yunchuan Chen's work include Syntax, Semantics, Linguistic Variation (6 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Yunchuan Chen is often cited by papers focused on Syntax, Semantics, Linguistic Variation (6 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Yunchuan Chen collaborates with scholars based in United States, China and Canada. Yunchuan Chen's co-authors include Lili Mou, Zhi Jin, Yan Xu, Ge Li, Hao Peng, Yangyang Lu, Ge Li, Ran Jia, Jennifer Shen and Hyunwoo Kim and has published in prestigious journals such as Second language Research, Cognitive Linguistics and The Canadian Journal of Linguistics / La revue canadienne de linguistique.

In The Last Decade

Yunchuan Chen

10 papers receiving 479 citations

Hit Papers

Classifying Relations via Long Short Term Memory Networks... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yunchuan Chen United States 4 479 84 46 46 42 13 515
Valentin I. Spitkovsky United States 14 539 1.1× 67 0.8× 67 1.5× 44 1.0× 60 1.4× 23 581
Oier López de Lacalle Spain 16 716 1.5× 62 0.7× 65 1.4× 79 1.7× 19 0.5× 38 765
Oren Melamud Israel 8 410 0.9× 26 0.3× 42 0.9× 44 1.0× 17 0.4× 14 458
Joäo Graça Portugal 12 541 1.1× 45 0.5× 41 0.9× 85 1.8× 12 0.3× 24 579
Jorn Veenstra Netherlands 10 532 1.1× 75 0.9× 40 0.9× 37 0.8× 19 0.5× 14 559
Dianbo Sui China 8 336 0.7× 26 0.3× 49 1.1× 40 0.9× 56 1.3× 25 383
Erik F. Tjong Kim Sang Belgium 9 436 0.9× 70 0.8× 35 0.8× 39 0.8× 23 0.5× 10 458
Dennis Connolly United States 4 476 1.0× 68 0.8× 30 0.7× 30 0.7× 36 0.9× 7 498
Yusuke Shinyama United States 6 365 0.8× 27 0.3× 83 1.8× 22 0.5× 24 0.6× 8 395
Takashi Ninomiya Japan 13 339 0.7× 113 1.3× 16 0.3× 56 1.2× 10 0.2× 48 380

Countries citing papers authored by Yunchuan Chen

Since Specialization
Citations

This map shows the geographic impact of Yunchuan Chen's research. 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 Yunchuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunchuan Chen more than expected).

Fields of papers citing papers by Yunchuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yunchuan Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yunchuan Chen. The network helps show where Yunchuan Chen may publish in the future.

Co-authorship network of co-authors of Yunchuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yunchuan Chen. A scholar is included among the top collaborators of Yunchuan Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yunchuan Chen. Yunchuan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Chen, Yunchuan. (2024). An Experimental Investigation into the Scope Assignment of Japanese and Chinese Quantifier-Negation Sentences. Languages. 9(3). 111–111. 1 indexed citations
2.
Chen, Yunchuan. (2024). An experimental approach to the reconstruction of the head quantifier phrase in Chinese relative clauses. The Canadian Journal of Linguistics / La revue canadienne de linguistique. 69(1). 118–128. 1 indexed citations
3.
Chen, Yunchuan, et al.. (2024). Scope assignment in quantifier-negation sentences in early Korean-Chinese bilinguals’ grammars. Proceedings of the Linguistic Society of America. 9(1). 5655–5655.
4.
Chen, Yunchuan, et al.. (2023). Scope assignment in Quantifier-Negation sentences in Tibetan as a heritage language in China. Second language Research. 40(3). 785–799. 1 indexed citations
5.
Shen, Jennifer & Yunchuan Chen. (2022). Simplified grammar in both languages? On scope assignment in Q-Neg sentences in English-dominant heritage Chinese speakers. Proceedings of the Linguistic Society of America. 7(1). 5228–5228. 1 indexed citations
6.
Kim, Hyunwoo, Yunchuan Chen, & Xueyan Liu. (2022). Bilingual processing of verbal and constructional information in English dative constructions: effects of cross-linguistic influence. Cognitive Linguistics. 33(4). 701–726. 1 indexed citations
7.
Chen, Yunchuan. (2020). Anaphor reconstruction in Japanese relative clauses. Language and Linguistics 語言暨語言學. 22(2). 243–271. 1 indexed citations
8.
9.
Chen, Yunchuan. (2019). Two types of possessive passives in Japanese. 45(2). 192–210.
10.
Xu, Yan, Ran Jia, Lili Mou, et al.. (2016). Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation. arXiv (Cornell University). 1461–1470. 69 indexed citations
11.
Chen, Yunchuan, Lili Mou, Yan Xu, Ge Li, & Zhi Jin. (2016). Compressing Neural Language Models by Sparse Word Representations. 11 indexed citations
12.
Xu, Yan, Lili Mou, Ge Li, et al.. (2015). Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths. 1785–1794. 415 indexed citations breakdown →
13.
Peng, Hao, Lili Mou, Ge Li, et al.. (2015). A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. 2106–2111. 14 indexed citations

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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