Hengyi Cai

48 total papers · 780 total citations
16 papers, 371 citations indexed

About

Hengyi Cai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hengyi Cai has authored 16 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Hengyi Cai's work include Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (4 papers). Hengyi Cai is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (4 papers). Hengyi Cai collaborates with scholars based in China, Hong Kong and United States. Hengyi Cai's co-authors include Shuaiqiang Wang, Huiqi Deng, Fan Yang, Mengnan Du, Hanjie Chen, Ninghao Liu, Haiyan Zhao, Dawei Yin, Hongshen Chen and Yonghao Song and has published in prestigious journals such as ACM Transactions on Intelligent Systems and Technology, ACM Transactions on the Web and Frontiers of Computer Science.

In The Last Decade

Hengyi Cai

16 papers receiving 359 citations

Hit Papers

Explainability for Large ... 2024 2026 2024 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hengyi Cai 261 63 61 36 22 16 371
Rishi Bommasani 326 1.2× 39 0.6× 36 0.6× 58 1.6× 15 0.7× 15 424
Shady Shehata 245 0.9× 138 2.2× 42 0.7× 18 0.5× 37 1.7× 23 381
Christopher A. Choquette-Choo 293 1.1× 65 1.0× 82 1.3× 15 0.4× 46 2.1× 10 388
Cheng Ji 245 0.9× 49 0.8× 51 0.8× 15 0.4× 30 1.4× 16 360
Hengrui Jia 275 1.1× 47 0.7× 80 1.3× 12 0.3× 37 1.7× 12 397
Anthony Levas 140 0.5× 40 0.6× 99 1.6× 28 0.8× 26 1.2× 19 400
Katherine Lee 260 1.0× 54 0.9× 42 0.7× 40 1.1× 12 0.5× 13 355
Holy Lovenia 278 1.1× 60 1.0× 33 0.5× 79 2.2× 10 0.5× 13 418
Varun Chandrasekaran 322 1.2× 64 1.0× 95 1.6× 12 0.3× 55 2.5× 18 433
David R. So 161 0.6× 30 0.5× 68 1.1× 13 0.4× 26 1.2× 10 360

Countries citing papers authored by Hengyi Cai

Since Specialization
Citations

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

Fields of papers citing papers by Hengyi Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hengyi Cai

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

All Works

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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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