Zhengyang Shen
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Artificial Intelligence
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Zhenlin XuMarc NiethammerHan XuXiaolong WuAnhong GuoThad StarnerScott GillilandZhouchen Lin
- Topics
- Medical Imaging and Analysis (5 papers)Advanced Neural Network Applications (4 papers)Human Pose and Action Recognition (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessACM Transactions on Graphics
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zhengyang Shen
20 papers receiving 256 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 163
- Radiology, Nuclear Medicine and Imaging 56
- Biomedical Engineering 47
- Artificial Intelligence 46
- Industrial and Manufacturing Engineering 40
Countries citing papers authored by Zhengyang Shen
This map shows the geographic impact of Zhengyang Shen'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 Zhengyang Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengyang Shen more than expected).
Fields of papers citing papers by Zhengyang Shen
This network shows the impact of papers produced by Zhengyang Shen. 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 Zhengyang Shen. The network helps show where Zhengyang Shen may publish in the future.
Co-authorship network of co-authors of Zhengyang Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Zhengyang Shen. A scholar is included among the top collaborators of Zhengyang Shen 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 Zhengyang Shen. Zhengyang Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | Efficient Equivariant Network | 7 |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 77 | |
| 16 | 2 | |
| 17 | 17 | |
| 18 | 20 | |
| 19 | 16 | |
| 20 | 40 |
About Zhengyang Shen
Zhengyang Shen is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 21 papers that have together received 262 indexed citations. Recurring topics across this work include Medical Imaging and Analysis (5 papers), Advanced Neural Network Applications (4 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (163 citations), Industrial and Manufacturing Engineering (40 citations) and Computer Graphics and Computer-Aided Design (12 citations). Zhengyang Shen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhenlin Xu, Marc Niethammer, Han Xu, Xiaolong Wu, Anhong Guo, Thad Starner, Scott Gilliland, Zhouchen Lin, Yan Xu and Eric Chang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and ACM Transactions on Graphics.
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.