Shuchang Zhou
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Electrical and Electronic Engineering
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Zhewei HuangWen HengYang ChenLi XiaoZheng LiTianyu ZhangPurang AbolmaesumiDaniel Racoceanu
- Topics
- Advanced Neural Network Applications (8 papers)Generative Adversarial Networks and Image Synthesis (5 papers)Human Pose and Action Recognition (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignComputational Mathematics
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Shuchang Zhou
26 papers receiving 648 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 388
- Artificial Intelligence 190
- Radiology, Nuclear Medicine and Imaging 110
- Electrical and Electronic Engineering 67
- Computer Graphics and Computer-Aided Design 59
Countries citing papers authored by Shuchang Zhou
This map shows the geographic impact of Shuchang 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 Shuchang Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuchang Zhou more than expected).
Fields of papers citing papers by Shuchang Zhou
This network shows the impact of papers produced by Shuchang 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 Shuchang Zhou. The network helps show where Shuchang Zhou may publish in the future.
Co-authorship network of co-authors of Shuchang Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Shuchang Zhou. A scholar is included among the top collaborators of Shuchang Zhou 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 Shuchang Zhou. Shuchang Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 27 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 79 | |
| 14 | 91 | |
| 15 | 13 | |
| 16 | Stroke-based Artistic Rendering Agent with Deep Reinforcement Learning | 1 |
| 17 | 41 | |
| 18 | A scalable approach to column-based low-rank matrix approximation | 4 |
| 19 | Deceptive Answer Prediction with User Preference Graph | 3 |
| 20 | 0 |
About Shuchang Zhou
Shuchang Zhou is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 33 papers that have together received 662 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (388 citations), Computer Graphics and Computer-Aided Design (59 citations) and Computational Mathematics (4 citations). Shuchang Zhou has collaborated with scholars based in China, United States and India. Frequent co-authors include Zhewei Huang, Wen Heng, Yang Chen, Li Xiao, Zheng Li, Tianyu Zhang, Zhewei Huang, Purang Abolmaesumi, Daniel Racoceanu and Anne L. Martel. Their work appears in journals such as Construction and Building Materials, Neural Networks and Radiotherapy and Oncology.
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.