Zheng Shou
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Biomedical Engineering
- Artificial Intelligence
- Media Technology top 10%
- Co-authors
- Xiao-Yang LiuJiawei MaXin YuanZhicheng YanShih‐Fu ChangXudong LinMarcus RohrbachYannis Kalantidis
- Topics
- Human Pose and Action Recognition (3 papers)Anomaly Detection Techniques and Applications (3 papers)Sparse and Compressive Sensing Techniques (2 papers)
- Journals
- 2021 IEEE/CVF International Conference on Computer Vision (ICCV)Edinburgh Research ExplorerarXiv (Cornell University)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Zheng Shou
10 papers receiving 248 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 198
- Computational Mechanics 89
- Biomedical Engineering 82
- Artificial Intelligence 75
- Media Technology 33
Countries citing papers authored by Zheng Shou
This map shows the geographic impact of Zheng Shou'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 Zheng Shou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng Shou more than expected).
Fields of papers citing papers by Zheng Shou
This network shows the impact of papers produced by Zheng Shou. 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 Zheng Shou. The network helps show where Zheng Shou may publish in the future.
Co-authorship network of co-authors of Zheng Shou
This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Shou. A scholar is included among the top collaborators of Zheng Shou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zheng Shou. Zheng Shou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 20 | |
| 3 | LPAT: Learning to Predict Adaptive Threshold for Weakly-supervised Temporal Action Localization | 1 |
| 4 | 99 | |
| 5 | 116 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | Study on the Navigation and Power Station for Hump Modulation of Three Gorges and Gezhouba Project | 2 |
| 10 | An Experimental Study of the Combustion Characteristics of Oil-coke Slurry and Water-coke Slurry | 1 |
About Zheng Shou
Zheng Shou is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 10 papers that have together received 253 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Computational Mathematics (8 citations), Computer Vision and Pattern Recognition (198 citations) and Computational Mechanics (89 citations). Zheng Shou has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Xiao-Yang Liu, Jiawei Ma, Xin Yuan, Zhicheng Yan, Shih‐Fu Chang, Xudong Lin, Marcus Rohrbach, Yannis Kalantidis, Laura Sevilla-Lara and Bo Wu. Their work appears in journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Edinburgh Research Explorer and arXiv (Cornell University).
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.