Wei Bi
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Speech and dialogue systems
- Text and Document Classification Technologies
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Health Informatics top 10%
Papers in
-
- Topic Modeling 27
- Speech and dialogue systems 23
- Natural Language Processing Techniques 17
- Text and Document Classification Technologies 7
- Domain Adaptation and Few-Shot Learning 6
- Adversarial Robustness in Machine Learning 4
- Privacy-Preserving Technologies in Data 2
-
- Advanced Neural Network Applications 5
- Co-authors
- James Tin-Yau Kwok (8 shared papers)Xiaojiang Liu (19 shared papers)Shuming Shi (19 shared papers)Kang Liu (3 shared papers)Yubo Chen (2 shared papers)Jian Liu (1 shared paper)Mu Li (1 shared paper)Bao‐Liang Lu (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)Machine Learning (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wei Bi
65 papers receiving 1.6k citations
Wei Bi's Hit Papers
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 1.3k
- Health Informatics 20
- Computer Vision and Pattern Recognition 198
- Computer Science Applications 30
- Computational Mathematics 3
Countries citing papers authored by Wei Bi
This map shows the geographic impact of Wei Bi'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 Wei Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Bi more than expected).
Fields of papers citing papers by Wei Bi
This network shows the impact of papers produced by Wei Bi. 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 Wei Bi. The network helps show where Wei Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Bi, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 203 | |
| 2 | 🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models Hit paper breakdown → | 2025 | 168 |
| 3 | Multi-Label Classification on Tree- and DAG-Structured Hierarchies | 2011 | 116 |
| 4 | Efficient Multi-label Classification with Many Labels | 2013 | 104 |
| 5 | 2014 | 70 | |
| 6 | 2014 | 61 | |
| 7 | 2020 | 50 | |
| 8 | 2019 | 47 | |
| 9 | 2019 | 46 | |
| 10 | 2020 | 46 | |
| 11 | 2021 | 46 | |
| 12 | 2019 | 36 | |
| 13 | 2020 | 36 | |
| 14 | Learning to predict from crowdsourced data | 2014 | 33 |
| 15 | 2019 | 33 | |
| 16 | 2019 | 32 | |
| 17 | 2019 | 32 | |
| 18 | 2022 | 32 | |
| 19 | 2015 | 29 | |
| 20 | 2009 | 27 |
About Wei Bi
Wei Bi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Computer Science Applications and Economics and Econometrics, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (27 papers), Speech and dialogue systems (23 papers), Natural Language Processing Techniques (17 papers), Text and Document Classification Technologies (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (5 papers), Adversarial Robustness in Machine Learning (4 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Health Informatics (20 citations), Computer Vision and Pattern Recognition (198 citations), Computer Science Applications (30 citations) and Computational Mathematics (3 citations). Wei Bi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include James Tin-Yau Kwok, Xiaojiang Liu, Shuming Shi, Kang Liu, Yubo Chen, Jian Liu, Mu Li, Bao‐Liang Lu, Deng Cai and Leyang Cui. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Machine Learning and Cybernetics and Machine Learning.
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.