Wei-Wei Tu
Impact in
- Artificial Intelligence top 5%
- Machine Learning and Data Classification
- Advanced Graph Neural Networks
- Topic Modeling
- Text and Document Classification Technologies
- Domain Adaptation and Few-Shot Learning
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- Advanced Neural Network Applications
- Graph Theory and Algorithms
Papers in
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- Machine Learning and Data Classification 9
- Machine Learning and Algorithms 4
- Topic Modeling 4
- Text and Document Classification Technologies 3
- Domain Adaptation and Few-Shot Learning 3
- Privacy-Preserving Technologies in Data 3
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- Advanced Neural Network Applications 4
- Co-authors
- Quanming Yao (8 shared papers)Huan Zhao (3 shared papers)R. W. Mayne (2 shared papers)Zhanxing Zhu (2 shared papers)Yu-Feng Li (6 shared papers)Ju Xu (2 shared papers)Qiang Yang (4 shared papers)Wenyuan Dai (4 shared papers)
- Journals
- Machine Learning (3 papers)International Journal for Numerical Methods in Engineering (2 papers)Science China Information Sciences (2 papers)Patterns (1 paper)Journal of Mechanical Design (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wei-Wei Tu
30 papers receiving 369 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 255
- Computer Vision and Pattern Recognition 113
- Information Systems 71
- Computational Theory and Mathematics 36
- Health Informatics 3
Countries citing papers authored by Wei-Wei Tu
This map shows the geographic impact of Wei-Wei 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 Wei-Wei Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Wei Tu more than expected).
Fields of papers citing papers by Wei-Wei Tu
This network shows the impact of papers produced by Wei-Wei 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 Wei-Wei Tu. The network helps show where Wei-Wei Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei-Wei 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2021 | 53 | |
| 3 | 2019 | 53 | |
| 4 | 2002 | 25 | |
| 5 | 2019 | 21 | |
| 6 | 1996 | 16 | |
| 7 | 2019 | 15 | |
| 8 | 2023 | 15 | |
| 9 | 2022 | 12 | |
| 10 | 2019 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2002 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2019 | 7 | |
| 19 | Projection-free Distributed Online Convex Optimization with $O(\sqrt{T})$ Communication Complexity | 2020 | 5 |
| 20 | 2022 | 4 |
About Wei-Wei Tu
Wei-Wei Tu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Molecular Biology and Information Systems, having authored 34 papers that have together received 383 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (9 papers), Advanced Neural Network Applications (4 papers), Machine Learning and Algorithms (4 papers), Topic Modeling (4 papers), Text and Document Classification Technologies (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (255 citations), Computer Vision and Pattern Recognition (113 citations), Information Systems (71 citations), Computational Theory and Mathematics (36 citations) and Health Informatics (3 citations). Wei-Wei Tu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Quanming Yao, Huan Zhao, R. W. Mayne, Zhanxing Zhu, Yu-Feng Li, Ju Xu, Qiang Yang, Wenyuan Dai, Yuqiang Chen and Hao Zhou. Their work appears in journals such as Machine Learning, International Journal for Numerical Methods in Engineering, Science China Information Sciences, Patterns and Journal of Mechanical Design.
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.