Chongyang Ma
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- Computer Graphics and Visualization Techniques 27
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- Generative Adversarial Networks and Image Synthesis 20
- Advanced Vision and Imaging 14
- Face recognition and analysis 7
- Image Enhancement Techniques 7
- Advanced Image Processing Techniques 6
- Human-Computer Interaction top 2%
- Computational Mechanics top 2%
- 3D Shape Modeling and Analysis 30
- Media Technology top 2%
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- Human Motion and Animation 7
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- ACM Transactions on Graphics (13 papers)Computer Graphics Forum (7 papers)IEEE Transactions on Visualization and Computer Graphics (4 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Chongyang Ma
66 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Computer Graphics and Computer-Aided Design 632
- Computer Vision and Pattern Recognition 1.8k
- Human-Computer Interaction 184
- Computational Mechanics 623
- Media Technology 197
Countries citing papers authored by Chongyang Ma
This map shows the geographic impact of Chongyang Ma'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 Chongyang Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chongyang Ma more than expected).
Fields of papers citing papers by Chongyang Ma
This network shows the impact of papers produced by Chongyang Ma. 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 Chongyang Ma. The network helps show where Chongyang Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chongyang Ma, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 21 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 51 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 52 | |
| 17 | 2020 | 10 | |
| 18 | 2019 | 16 | |
| 19 | 2019 | 6 | |
| 20 | 2016 | 15 |
About Chongyang Ma
Chongyang Ma is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 74 papers that have together received 2.3k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (30 papers), Computer Graphics and Visualization Techniques (27 papers), Generative Adversarial Networks and Image Synthesis (20 papers), Advanced Vision and Imaging (14 papers), Face recognition and analysis (7 papers), Human Motion and Animation (7 papers), Image Enhancement Techniques (7 papers) and Advanced Image Processing Techniques (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (632 citations), Computer Vision and Pattern Recognition (1.8k citations) and Human-Computer Interaction (184 citations). Chongyang Ma has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Weiming Dong, Changsheng Xu, Hao Li, Fan Tang, Li‐Yi Wei, Xingjia Pan, Linjie Luo, Haibin Huang, Kekai Sheng and Liwen Hu. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Computational Visual Media and IEEE Transactions on Multimedia.
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.