Kai He
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Machine Learning in Healthcare
- Text and Document Classification Technologies
Papers in
-
- Topic Modeling 18
- Natural Language Processing Techniques 12
- Machine Learning in Healthcare 5
- Sentiment Analysis and Opinion Mining 3
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- Semiconductor materials and devices 4
- Co-authors
- Erik Cambria (14 shared papers)Rui Mao (10 shared papers)Chen Li (10 shared papers)Sheldon X.-D. Tan (7 shared papers)Qian Liu (2 shared papers)Wei Li (1 shared paper)Tieliang Gong (8 shared papers)Xin Huang (3 shared papers)
- Journals
- Information Fusion (6 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)IEEE Transactions on Affective Computing (2 papers)Multimedia Tools and Applications (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Kai He
55 papers receiving 799 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Health Informatics 41
- Artificial Intelligence 428
- Hardware and Architecture 73
- Health Information Management 26
- Computational Mathematics 3
Countries citing papers authored by Kai He
This map shows the geographic impact of Kai He'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 Kai He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai He more than expected).
Fields of papers citing papers by Kai He
This network shows the impact of papers produced by Kai He. 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 Kai He. The network helps show where Kai He may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection Hit paper breakdown → | 2022 | 148 |
| 2 | 2022 | 67 | |
| 3 | 2015 | 51 | |
| 4 | 2022 | 46 | |
| 5 | A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics Hit paper breakdown → | 2025 | 41 |
| 6 | 2019 | 41 | |
| 7 | 2016 | 35 | |
| 8 | 2024 | 34 | |
| 9 | 2023 | 27 | |
| 10 | 2015 | 26 | |
| 11 | 2023 | 24 | |
| 12 | 2023 | 23 | |
| 13 | 2018 | 23 | |
| 14 | 2019 | 22 | |
| 15 | 2021 | 19 | |
| 16 | 2015 | 18 | |
| 17 | 2023 | 17 | |
| 18 | 2014 | 13 | |
| 19 | 2019 | 12 | |
| 20 | 2015 | 12 |
About Kai He
Kai He is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Molecular Biology and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 820 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (12 papers), Biomedical Text Mining and Ontologies (7 papers), Machine Learning in Healthcare (5 papers), Semiconductor materials and devices (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Artificial Intelligence in Healthcare (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Health Informatics (41 citations), Artificial Intelligence (428 citations), Hardware and Architecture (73 citations), Health Information Management (26 citations) and Computational Mathematics (3 citations). Kai He has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Erik Cambria, Rui Mao, Chen Li, Sheldon X.-D. Tan, Qian Liu, Wei Li, Tieliang Gong, Xin Huang, Guoyong Shi and Hai Wang. Their work appears in journals such as Information Fusion, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Affective Computing and Multimedia Tools and Applications.
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.