Yunchuan Chen

1.1k citations
13 papers · 520 · 1 hit paper · h-index 4

Impact in

Papers in

Yunchuan Chen

10 papers receiving 485 citations

Yunchuan Chen's Hit Papers

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths 2015 · 419 citations
4190+3+7Years since publication100200300400

Peers

Yunchuan Chen
Comparison fields: 5 of 51
  • Artificial Intelligence 469
  • Management Science and Operations Research 40
  • Computer Vision and Pattern Recognition 46
  • Information Systems 47
  • Molecular Biology 77
Replace Valentin I. Spitkovsky with:
Valentin I. Spitkovsky United States
Dmitry Zelenko United States
Oier López de Lacalle Spain
Markus Dreyer United States
Dianbo Sui China
Erik F. Tjong Kim Sang Belgium
Nguyễn Bách United States
Oren Melamud Israel
Maxime Peyrard Germany
Varvara Logacheva Russia
Yunchuan Chen relative to Valentin I. Spitkovsky United States Valentin I. Spitkovsky's profile →
Citations per field
00.5×6.3×
Valentin I. Spitkovsky · 1×
Citations per year

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-authors

The 11 scholars most cited alongside Yunchuan Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yunchuan Chen Line = papers co-authored together Yunchuan Chen links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths
Hit paper breakdown →
2015419
2
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation
201669
3 201514
4 201611
5 20232
6 20241
7 20221
8 20241
9 20201
10 20221
11 20190
12 20200
13 20240

About Yunchuan Chen

Yunchuan Chen is a scholar working on Artificial Intelligence, Language and Linguistics, Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 13 papers that have together received 520 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Syntax, Semantics, Linguistic Variation (6 papers), Topic Modeling (5 papers), Neurobiology of Language and Bilingualism (5 papers), Language, Discourse, Communication Strategies (2 papers), Language, Metaphor, and Cognition (2 papers), Second Language Acquisition and Learning (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (469 citations), Management Science and Operations Research (40 citations), Computer Vision and Pattern Recognition (46 citations), Information Systems (47 citations) and Molecular Biology (77 citations). Yunchuan Chen has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Lili Mou, Zhi Jin, Yan Xu, Ge Li, Hao Peng, Yangyang Lu, Ge Li, Ran Jia, Jennifer Shen and Hyunwoo Kim. Their work appears in journals such as Second language Research, Languages, Cognitive Linguistics, The Canadian Journal of Linguistics / La revue canadienne de linguistique and Language and Linguistics 語言暨語言學.

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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