Xiaozhou Wei
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
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- Emotion and Mood Recognition
Papers in
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- Face and Expression Recognition 8
- Face recognition and analysis 8
- Video Surveillance and Tracking Methods 2
- Human Pose and Action Recognition 1
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- Emotion and Mood Recognition 4
- Co-authors
- Jun Wang (2 shared papers)Yi Sun (2 shared papers)Lijun Yin (4 shared papers)Lijun Yin (5 shared papers)Yuxiao Hu (2 shared papers)Zhihong Zeng (2 shared papers)Xi Zhou (1 shared paper)Thomas S. Huang (1 shared paper)
- Journals
- Proceedings - International Conference on Pattern Recognition (1 paper)
- Partner nations
- United States
In The Last Decade
Xiaozhou Wei
9 papers receiving 1.2k citations
Xiaozhou Wei's Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 1.1k
- Experimental and Cognitive Psychology 579
- Computational Mathematics 20
- Human-Computer Interaction 115
- Signal Processing 164
Countries citing papers authored by Xiaozhou Wei
This map shows the geographic impact of Xiaozhou Wei'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 Xiaozhou Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaozhou Wei more than expected).
Fields of papers citing papers by Xiaozhou Wei
This network shows the impact of papers produced by Xiaozhou Wei. 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 Xiaozhou Wei. The network helps show where Xiaozhou Wei may publish in the future.
Co-authors
The 13 scholars most cited alongside Xiaozhou Wei, 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 | A 3D Facial Expression Database For Facial Behavior Research Hit paper breakdown → | 2006 | 820 |
| 2 | 2006 | 221 | |
| 3 | 2008 | 89 | |
| 4 | 2008 | 50 | |
| 5 | 2006 | 34 | |
| 6 | 2005 | 22 | |
| 7 | 2004 | 9 | |
| 8 | 2006 | 5 | |
| 9 | 2007 | 2 |
About Xiaozhou Wei
Xiaozhou Wei is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Social Psychology, Control and Systems Engineering and Cognitive Neuroscience, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Face recognition and analysis (8 papers), Emotion and Mood Recognition (4 papers), Video Surveillance and Tracking Methods (2 papers), Gaze Tracking and Assistive Technology (1 paper), Face Recognition and Perception (1 paper), Human Motion and Animation (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Experimental and Cognitive Psychology (579 citations), Computational Mathematics (20 citations), Human-Computer Interaction (115 citations) and Signal Processing (164 citations). Xiaozhou Wei has collaborated with scholars based in United States. Frequent co-authors include Jun Wang, Yi Sun, Lijun Yin, Lijun Yin, Yuxiao Hu, Zhihong Zeng, Xi Zhou, Thomas S. Huang, A. Bhuvanesh and Jilin Tu. Their work appears in journals such as Proceedings - International Conference on Pattern Recognition.
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.