Yi Wen
Impact in
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
Papers in
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- Advanced Graph Neural Networks 4
- Advanced Clustering Algorithms Research 3
- Text and Document Classification Technologies 2
- Domain Adaptation and Few-Shot Learning 2
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- Face and Expression Recognition 3
- Co-authors
- Xinwang Liu (7 shared papers)Siwei Wang (6 shared papers)Ke Liang (4 shared papers)En Zhu (5 shared papers)Yue Liu (4 shared papers)Sihang Zhou (3 shared papers)Xihong Yang (3 shared papers)Xinhang Wan (2 shared papers)
In The Last Decade
Yi Wen
8 papers receiving 292 citations
Yi Wen's Hit Papers
Peers
Comparison fields: 5 of 41
- Computational Mathematics 8
- Computer Vision and Pattern Recognition 172
- Artificial Intelligence 197
- Media Technology 18
- Urban Studies 12
Countries citing papers authored by Yi Wen
This map shows the geographic impact of Yi Wen'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 Yi Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Wen more than expected).
Fields of papers citing papers by Yi Wen
This network shows the impact of papers produced by Yi Wen. 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 Yi Wen. The network helps show where Yi Wen may publish in the future.
Co-authors
The 22 scholars most cited alongside Yi Wen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 77 | |
| 2 | 2023 | 67 | |
| 3 | One-Step Multi-View Clustering With Diverse Representation Hit paper breakdown → | 2024 | 58 |
| 4 | 2023 | 42 | |
| 5 | 2023 | 24 | |
| 6 | 2024 | 14 | |
| 7 | 2025 | 9 | |
| 8 | 2025 | 1 |
About Yi Wen
Yi Wen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Urban Studies, Information Systems and Statistical and Nonlinear Physics, having authored 8 papers that have together received 292 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (4 papers), Face and Expression Recognition (3 papers), Advanced Clustering Algorithms Research (3 papers), Complex Network Analysis Techniques (2 papers), Advanced Computing and Algorithms (2 papers), Text and Document Classification Technologies (2 papers), Recommender Systems and Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computational Mathematics (8 citations), Computer Vision and Pattern Recognition (172 citations), Artificial Intelligence (197 citations), Media Technology (18 citations) and Urban Studies (12 citations). Yi Wen has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Xinwang Liu, Siwei Wang, Ke Liang, En Zhu, Yue Liu, Sihang Zhou, Xihong Yang, Xinhang Wan, Wenxuan Tu and Xiangjun Dong. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Circuits and Systems for Video Technology and ACM Transactions on Knowledge Discovery from Data.
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.