Sanping Zhou
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- Video Surveillance and Tracking Methods 41
- Human Pose and Action Recognition 24
- Advanced Image Processing Techniques 9
- Face recognition and analysis 8
- Advanced Vision and Imaging 8
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety 14
- Media Technology top 2%
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications 14
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- Gait Recognition and Analysis 12
Sanping Zhou
74 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 2.5k
- Automotive Engineering 380
- Safety, Risk, Reliability and Quality 267
- Media Technology 223
- Artificial Intelligence 600
Countries citing papers authored by Sanping Zhou
This map shows the geographic impact of Sanping Zhou'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 Sanping Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanping Zhou more than expected).
Fields of papers citing papers by Sanping Zhou
This network shows the impact of papers produced by Sanping Zhou. 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 Sanping Zhou. The network helps show where Sanping Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sanping Zhou, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 53 | |
| 14 | 2023 | 32 | |
| 15 | 2023 | 16 | |
| 16 | 2023 | 64 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 6 | |
| 20 | Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting | 2019 | 54 |
About Sanping Zhou
Sanping Zhou is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Acoustics and Ultrasonics, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 81 papers that have together received 3.0k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (41 papers), Human Pose and Action Recognition (24 papers), Anomaly Detection Techniques and Applications (14 papers), Autonomous Vehicle Technology and Safety (14 papers), Gait Recognition and Analysis (12 papers), Advanced Image Processing Techniques (9 papers), Face recognition and analysis (8 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Automotive Engineering (380 citations), Safety, Risk, Reliability and Quality (267 citations), Media Technology (223 citations) and Artificial Intelligence (600 citations). Sanping Zhou has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Nanning Zheng, Jinjun Wang, Yihong Gong, De Cheng, Gang Hua, Le Wang, Jinjun Wang, Liushuai Shi, Wei Tang and Chengjiang Long. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Image Processing, Neurocomputing, IEEE Transactions on Multimedia and IEEE Transactions on Neural Networks and Learning Systems.
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.