Shuai Yang
- Computer Vision and Pattern Recognition top 1%
- Computer Graphics and Computer-Aided Design top 1%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Computational Mechanics top 10%
- Co-authors
- Jiaying LiuZongming GuoWenhan YangChen Change LoyZiwei LiuWenjing WangLiming JiangYueyu Hu
- Topics
- Generative Adversarial Networks and Image Synthesis (35 papers)Computer Graphics and Visualization Techniques (16 papers)Advanced Vision and Imaging (15 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionMedia Technology
- Journals
- Applied Physics LettersIEEE Transactions on Pattern Analysis and Machine IntelligenceACS Applied Materials & Interfaces
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Shuai Yang
71 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 973
- Computer Graphics and Computer-Aided Design 219
- Artificial Intelligence 163
- Media Technology 111
- Computational Mechanics 106
Countries citing papers authored by Shuai Yang
This map shows the geographic impact of Shuai Yang'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 Shuai Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuai Yang more than expected).
Fields of papers citing papers by Shuai Yang
This network shows the impact of papers produced by Shuai Yang. 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 Shuai Yang. The network helps show where Shuai Yang may publish in the future.
Co-authorship network of co-authors of Shuai Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Yang. A scholar is included among the top collaborators of Shuai Yang 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 Shuai Yang. Shuai Yang 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 | 1 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 10 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 29 | |
| 15 | 5 | |
| 16 | 19 | |
| 17 | 8 | |
| 18 | 63 | |
| 19 | 9 | |
| 20 | 10 |
About Shuai Yang
Shuai Yang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 79 papers that have together received 1.3k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (35 papers), Computer Graphics and Visualization Techniques (16 papers) and Advanced Vision and Imaging (15 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (219 citations), Computer Vision and Pattern Recognition (973 citations) and Media Technology (111 citations). Shuai Yang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jiaying Liu, Zongming Guo, Wenhan Yang, Chen Change Loy, Ziwei Liu, Wenjing Wang, Liming Jiang, Yueyu Hu, Ling‐Yu Duan and Zhangyang Wang. Their work appears in journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACS Applied Materials & Interfaces.
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.