Wei Bian
Impact in
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
Papers in
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- Advanced Optimization Algorithms Research 11
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- Face and Expression Recognition 15
Wei Bian
94 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 917
- Numerical Analysis 184
- Computational Mechanics 502
- Artificial Intelligence 709
- Media Technology 138
Countries citing papers authored by Wei Bian
This map shows the geographic impact of Wei Bian'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 Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Bian more than expected).
Fields of papers citing papers by Wei Bian
This network shows the impact of papers produced by Wei Bian. 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 Bian. The network helps show where Wei Bian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Bian, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 7 | |
| 13 | 2019 | 34 | |
| 14 | 2019 | 13 | |
| 15 | 2019 | 161 | |
| 16 | 2019 | 7 | |
| 17 | CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels | 2012 | 8 |
| 18 | MUSIC TAGGING WITH REGULARIZED LOGISTIC REGRESSION | 2011 | 6 |
| 19 | 2011 | 61 | |
| 20 | Manifold Regularization for SIR with Rate Root-n Convergence | 2009 | 13 |
About Wei Bian
Wei Bian is a scholar working on Numerical Analysis, Computer Vision and Pattern Recognition, Computational Mechanics, Mathematical Physics and Artificial Intelligence, having authored 100 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (26 papers), Face and Expression Recognition (15 papers), Advanced Optimization Algorithms Research (11 papers), Numerical methods in inverse problems (10 papers), Particle accelerators and beam dynamics (9 papers), Neural Networks and Applications (9 papers), Optimization and Variational Analysis (8 papers) and Particle Accelerators and Free-Electron Lasers (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (917 citations), Numerical Analysis (184 citations), Computational Mechanics (502 citations), Artificial Intelligence (709 citations) and Media Technology (138 citations). Wei Bian has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Dacheng Tao, Xiaojun Chen, Xiaoping Xue, Xiaoping Xue, Maoying Qiao, Yan Yan, Yutian Lin, Xuanyi Dong, Yi Yang and Yu Wu. Their work appears in journals such as Neurocomputing, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, Review of Scientific Instruments and Frontiers in Neurology.
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.