Kehai Chen
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Semantic Web and Ontologies
- Domain Adaptation and Few-Shot Learning
- Speech Recognition and Synthesis
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 56
- Topic Modeling 55
- Text Readability and Simplification 8
- Advanced Text Analysis Techniques 5
- Speech Recognition and Synthesis 5
- Semantic Web and Ontologies 4
- Text and Document Classification Technologies 3
-
- Multimodal Machine Learning Applications 21
- Co-authors
- Rui Wang (35 shared papers)Eiichiro Sumita (33 shared papers)Masao Utiyama (32 shared papers)Tiejun Zhao (23 shared papers)Lemao Liu (5 shared papers)Hai Zhao (8 shared papers)Zuchao Li (7 shared papers)Muyun Yang (16 shared papers)
In The Last Decade
Kehai Chen
62 papers receiving 848 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 791
- Computer Vision and Pattern Recognition 325
- Health Informatics 4
- Information Systems 52
- Language and Linguistics 20
Countries citing papers authored by Kehai Chen
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
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-authors
The 25 scholars most cited alongside Kehai Chen, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 76 | |
| 2 | 2021 | 61 | |
| 3 | 2017 | 50 | |
| 4 | Neural Machine Translation with Universal Visual Representation | 2020 | 49 |
| 5 | 2018 | 46 | |
| 6 | 2017 | 40 | |
| 7 | 2019 | 37 | |
| 8 | 2021 | 34 | |
| 9 | Data-dependent Gaussian Prior Objective for Language Generation | 2020 | 32 |
| 10 | 2020 | 32 | |
| 11 | 2021 | 29 | |
| 12 | 2019 | 29 | |
| 13 | 2018 | 29 | |
| 14 | 2020 | 23 | |
| 15 | 2023 | 22 | |
| 16 | 2020 | 19 | |
| 17 | 2020 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2020 | 15 | |
| 20 | 2019 | 15 |
About Kehai Chen
Kehai Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Management Science and Operations Research, having authored 72 papers that have together received 887 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (56 papers), Topic Modeling (55 papers), Multimodal Machine Learning Applications (21 papers), Text Readability and Simplification (8 papers), Advanced Text Analysis Techniques (5 papers), Speech Recognition and Synthesis (5 papers), Semantic Web and Ontologies (4 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Artificial Intelligence (791 citations), Computer Vision and Pattern Recognition (325 citations), Health Informatics (4 citations), Information Systems (52 citations) and Language and Linguistics (20 citations). Kehai Chen has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Rui Wang, Eiichiro Sumita, Masao Utiyama, Tiejun Zhao, Lemao Liu, Hai Zhao, Zuchao Li, Muyun Yang, Zhuosheng Zhang and Tiejun Zhao. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Fusion, IEEE Transactions on Fuzzy Systems and Computers in Industry.
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.