Kewei Tu
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Speech and dialogue systems
- Text Readability and Simplification
- Advanced Text Analysis Techniques
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- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 71
- Natural Language Processing Techniques 67
- Speech and dialogue systems 9
- Speech Recognition and Synthesis 8
- Text Readability and Simplification 7
- Text and Document Classification Technologies 6
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- Multimodal Machine Learning Applications 13
- Co-authors
- Yong Jiang (24 shared papers)Xinyu Wang (9 shared papers)Zhongqiang Huang (9 shared papers)Nguyễn Bách (9 shared papers)Fei Huang (12 shared papers)Tao Wang (6 shared papers)Songlin Yang (8 shared papers)Yong Jiang (6 shared papers)
- Journals
- Neurocomputing (2 papers)IEEE Access (2 papers)Tsinghua Science & Technology (1 paper)IEEE Multimedia (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- ChinaUnited StatesCayman Islands
In The Last Decade
Kewei Tu
77 papers receiving 767 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 714
- Computer Vision and Pattern Recognition 205
- Management Science and Operations Research 78
- Health Informatics 4
- Information Systems 66
Countries citing papers authored by Kewei Tu
This map shows the geographic impact of Kewei Tu'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 Kewei Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kewei Tu more than expected).
Fields of papers citing papers by Kewei Tu
This network shows the impact of papers produced by Kewei Tu. 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 Kewei Tu. The network helps show where Kewei Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kewei Tu, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 77 | |
| 2 | 2021 | 76 | |
| 3 | 2014 | 69 | |
| 4 | 2020 | 41 | |
| 5 | 2016 | 39 | |
| 6 | 2022 | 34 | |
| 7 | 2022 | 29 | |
| 8 | 2022 | 28 | |
| 9 | 2017 | 25 | |
| 10 | 2017 | 21 | |
| 11 | 2022 | 20 | |
| 12 | 2022 | 20 | |
| 13 | Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars | 2012 | 19 |
| 14 | 2020 | 18 | |
| 15 | Unsupervised Structure Learning of Stochastic And-Or Grammars | 2013 | 13 |
| 16 | 2011 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2017 | 11 |
About Kewei Tu
Kewei Tu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Management Science and Operations Research and Signal Processing, having authored 82 papers that have together received 787 indexed citations. Recurring topics across this work include Topic Modeling (71 papers), Natural Language Processing Techniques (67 papers), Multimodal Machine Learning Applications (13 papers), Speech and dialogue systems (9 papers), Speech Recognition and Synthesis (8 papers), Text Readability and Simplification (7 papers), Text and Document Classification Technologies (6 papers) and Data Quality and Management (5 papers). The work is most often cited by research in Artificial Intelligence (714 citations), Computer Vision and Pattern Recognition (205 citations), Management Science and Operations Research (78 citations), Health Informatics (4 citations) and Information Systems (66 citations). Kewei Tu has collaborated with scholars based in China, United States and Cayman Islands. Frequent co-authors include Yong Jiang, Xinyu Wang, Zhongqiang Huang, Nguyễn Bách, Fei Huang, Tao Wang, Songlin Yang, Yong Jiang, Song‐Chun Zhu and Vasant Honavar. Their work appears in journals such as Neurocomputing, IEEE Access, Tsinghua Science & Technology, IEEE Multimedia and Neural Computing 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.