Kehai Chen

1.7k total citations
72 papers, 887 citations indexed

About

Kehai Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Kehai Chen has authored 72 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Kehai Chen's work include Natural Language Processing Techniques (56 papers), Topic Modeling (55 papers) and Multimodal Machine Learning Applications (21 papers). Kehai Chen is often cited by papers focused on Natural Language Processing Techniques (56 papers), Topic Modeling (55 papers) and Multimodal Machine Learning Applications (21 papers). Kehai Chen collaborates with scholars based in China, Japan and Australia. Kehai Chen's co-authors include Rui Wang, Eiichiro Sumita, Masao Utiyama, Tiejun Zhao, Lemao Liu, Hai Zhao, Muyun Yang, Zuchao Li, Zhuosheng Zhang and Tiejun Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Computing Surveys and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Kehai Chen

62 papers receiving 848 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kehai Chen China 17 791 325 52 39 20 72 887
Junhui Li China 16 642 0.8× 180 0.6× 51 1.0× 38 1.0× 9 0.5× 70 750
Anders Björkelund Sweden 14 639 0.8× 67 0.2× 41 0.8× 41 1.1× 8 0.4× 30 755
Yumao Lu United States 10 379 0.5× 411 1.3× 107 2.1× 18 0.5× 12 0.6× 13 711
Zhixing Tan China 8 365 0.5× 118 0.4× 36 0.7× 35 0.9× 8 0.4× 19 454
Daxiang Dong China 10 906 1.1× 282 0.9× 173 3.3× 22 0.6× 3 0.1× 15 1.0k
Md Zakir Hossain Australia 3 229 0.3× 410 1.3× 16 0.3× 14 0.4× 9 0.5× 4 538
Denny Britz United States 4 354 0.4× 158 0.5× 37 0.7× 6 0.2× 3 0.1× 4 451
Satwik Kottur United States 11 617 0.8× 655 2.0× 19 0.4× 10 0.3× 3 0.1× 18 897
Chih‐Kuan Yeh United States 7 348 0.4× 158 0.5× 53 1.0× 25 0.6× 1 0.1× 9 436
Yunlei Sun China 7 161 0.2× 56 0.2× 63 1.2× 25 0.6× 2 0.1× 15 384

Countries citing papers authored by Kehai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kehai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kehai 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 Kehai Chen. The network helps show where Kehai Chen may publish in the future.

Co-authorship network of co-authors of Kehai Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kehai Chen. A scholar is included among the top collaborators of Kehai 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 Kehai Chen. Kehai Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zuo, Fei, et al.. (2025). InImageTrans: Multimodal LLM-based Text Image Machine Translation. 20256–20277. 1 indexed citations
2.
Chen, Kehai, Yang Xiang, Muyun Yang, et al.. (2025). LLM-based Translation Inference with Iterative Bilingual Understanding. 16886–16902.
3.
Tang, Yihong, Kehai Chen, Xuefeng Bai, et al.. (2025). The Rise of Darkness: Safety-Utility Trade-Offs in Role-Playing Dialogue Agents. 16313–16337. 1 indexed citations
4.
Chen, Kehai, et al.. (2024). Multi-view fusion for instruction mining of large language model. Information Fusion. 110. 102480–102480. 6 indexed citations
5.
6.
Zhang, Shaoqing, Zhuosheng Zhang, Kehai Chen, et al.. (2024). Dynamic Planning for LLM-based Graphical User Interface Automation. 1304–1320. 1 indexed citations
7.
Zhang, Hongbin, Kehai Chen, Xuefeng Bai, Yang Xiang, & Min Zhang. (2024). Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model. 13816–13836. 1 indexed citations
8.
9.
Liu, Xuebo, et al.. (2024). Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. 8020–8035. 1 indexed citations
10.
He, Zhiwei, Wenxiang Jiao, Xing Wang, et al.. (2024). Unsupervised Sign Language Translation and Generation. 14041–14055.
11.
12.
Wu, Shuangzhi, et al.. (2023). Multi-view fusion for universal translation quality estimation. Information Fusion. 102. 102022–102022. 2 indexed citations
13.
Chen, Kehai, et al.. (2023). Year-Round Production of Cotton and Wheat or Rapeseed Regulated by Different Nitrogen Rates with Crop Straw Returning. Agronomy. 13(5). 1254–1254. 3 indexed citations
14.
Sun, Yuan, Xiaobing Zhao, Kehai Chen, et al.. (2023). Improving Low-resource Question Answering by Augmenting Question Information. Brunel University Research Archive (BURA) (Brunel University London). 10413–10420.
15.
Li, Juntao, et al.. (2023). INFORM : Information eNtropy based multi-step reasoning FOR large language Models. 3565–3576. 1 indexed citations
16.
Zhang, Zhuosheng, Kehai Chen, Rui Wang, et al.. (2020). Neural Machine Translation with Universal Visual Representation. International Conference on Learning Representations. 49 indexed citations
17.
Li, Zuchao, Rui Wang, Kehai Chen, et al.. (2020). Data-dependent Gaussian Prior Objective for Language Generation. International Conference on Learning Representations. 32 indexed citations
18.
Chen, Kehai, Rui Wang, Masao Utiyama, & Eiichiro Sumita. (2020). Content Word Aware Neural Machine Translation. 358–364. 15 indexed citations
19.
Wang, Rui, et al.. (2019). An Empirical Study of Domain Adaptation for Unsupervised Neural Machine Translation.. arXiv (Cornell University). 2 indexed citations
20.
Chen, Kehai, Rui Wang, Masao Utiyama, Eiichiro Sumita, & Tiejun Zhao. (2017). Context-Aware Smoothing for Neural Machine Translation. International Joint Conference on Natural Language Processing. 1. 11–20. 4 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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