Kewei Tu
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Speech and dialogue systems
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- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 76
- Natural Language Processing Techniques 72
- Speech and dialogue systems 10
- Speech Recognition and Synthesis 8
- Text Readability and Simplification 7
- Text and Document Classification Technologies 7
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- Multimodal Machine Learning Applications 14
- Co-authors
- Yong Jiang (24 shared papers)Wenjuan Han (13 shared papers)Xinyu Wang (9 shared papers)Nguyễn Bách (9 shared papers)Zhongqiang Huang (9 shared papers)Fei Huang (12 shared papers)Yong Yu (8 shared papers)Tao Wang (6 shared papers)
- Journals
- IEEE Access (2 papers)Neurocomputing (2 papers)Neural Computing and Applications (1 paper)IEEE Multimedia (1 paper)Tsinghua Science & Technology (1 paper)
- Partner nations
- ChinaUnited StatesCayman Islands
In The Last Decade
Kewei Tu
88 papers receiving 956 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 872
- Computer Vision and Pattern Recognition 243
- Management Science and Operations Research 104
- Information Systems 130
- Signal Processing 37
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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 89 | |
| 2 | 2021 | 89 | |
| 3 | 2014 | 77 | |
| 4 | 2020 | 43 | |
| 5 | 2022 | 42 | |
| 6 | 2016 | 39 | |
| 7 | 2022 | 31 | |
| 8 | 2022 | 29 | |
| 9 | 2005 | 28 | |
| 10 | 2017 | 27 | |
| 11 | 2005 | 26 | |
| 12 | 2022 | 25 | |
| 13 | 2020 | 22 | |
| 14 | 2022 | 21 | |
| 15 | 2017 | 21 | |
| 16 | Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars | 2012 | 21 |
| 17 | 2020 | 16 | |
| 18 | 2020 | 14 | |
| 19 | 2011 | 13 | |
| 20 | Unsupervised Structure Learning of Stochastic And-Or Grammars | 2013 | 13 |
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 92 papers that have together received 981 indexed citations. Recurring topics across this work include Topic Modeling (76 papers), Natural Language Processing Techniques (72 papers), Multimodal Machine Learning Applications (14 papers), Speech and dialogue systems (10 papers), Speech Recognition and Synthesis (8 papers), Text Readability and Simplification (7 papers), Text and Document Classification Technologies (7 papers) and Data Quality and Management (6 papers). The work is most often cited by research in Artificial Intelligence (872 citations), Computer Vision and Pattern Recognition (243 citations), Management Science and Operations Research (104 citations), Information Systems (130 citations) and Signal Processing (37 citations). Kewei Tu has collaborated with scholars based in China, United States and Cayman Islands. Frequent co-authors include Yong Jiang, Wenjuan Han, Xinyu Wang, Nguyễn Bách, Zhongqiang Huang, Fei Huang, Yong Yu, Tao Wang, Vasant Honavar and Songlin Yang. Their work appears in journals such as IEEE Access, Neurocomputing, Neural Computing and Applications, IEEE Multimedia and Tsinghua Science & Technology.
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.