Wei Bi
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Machine Learning and Data Classification
- Computational Mathematics top 10%
Papers in
-
- Topic Modeling 14
- Natural Language Processing Techniques 13
- Speech and dialogue systems 8
- Text and Document Classification Technologies 7
- Algorithms and Data Compression 4
- Machine Learning and Data Classification 3
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- Multimodal Machine Learning Applications 5
- Co-authors
- James T. Kwok (7 shared papers)Xiaojiang Liu (7 shared papers)Yubo Chen (2 shared papers)Kang Liu (2 shared papers)Jian Liu (1 shared paper)Shuming Shi (7 shared papers)Bao‐Liang Lu (1 shared paper)Mu Li (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (2 papers)IEEE Transactions on Knowledge and Data Engineering (1 paper)Alexandria Engineering Journal (1 paper)Journal of Advanced Transportation (1 paper)China Communications (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wei Bi
31 papers receiving 864 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 732
- Computational Mathematics 11
- Computer Vision and Pattern Recognition 213
- Information Systems 163
- Signal Processing 62
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 177 | |
| 2 | Efficient Multi-label Classification with Many Labels | 2013 | 89 |
| 3 | Multi-Label Classification on Tree- and DAG-Structured Hierarchies | 2011 | 88 |
| 4 | 2014 | 66 | |
| 5 | 2014 | 49 | |
| 6 | 2019 | 37 | |
| 7 | 2020 | 34 | |
| 8 | Learning to predict from crowdsourced data | 2014 | 31 |
| 9 | 2019 | 31 | |
| 10 | 2019 | 29 | |
| 11 | 2022 | 26 | |
| 12 | 2018 | 26 | |
| 13 | 2015 | 24 | |
| 14 | 2009 | 23 | |
| 15 | 2020 | 23 | |
| 16 | 2022 | 20 | |
| 17 | 2014 | 20 | |
| 18 | 2018 | 17 | |
| 19 | 2020 | 14 | |
| 20 | Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification | 2012 | 12 |
About Wei Bi
Wei Bi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Transportation, having authored 32 papers that have together received 899 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers), Speech and dialogue systems (8 papers), Text and Document Classification Technologies (7 papers), Multimodal Machine Learning Applications (5 papers), Algorithms and Data Compression (4 papers), Human Mobility and Location-Based Analysis (3 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Artificial Intelligence (732 citations), Computational Mathematics (11 citations), Computer Vision and Pattern Recognition (213 citations), Information Systems (163 citations) and Signal Processing (62 citations). Wei Bi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include James T. Kwok, Xiaojiang Liu, Yubo Chen, Kang Liu, Jian Liu, Shuming Shi, Bao‐Liang Lu, Mu Li, Jun Gao and Jinjun Tang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, Alexandria Engineering Journal, Journal of Advanced Transportation and China Communications.
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.