Congyue Deng
Impact in
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- Computer Graphics and Visualization Techniques
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
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- Robot Manipulation and Learning 3
- Robotic Mechanisms and Dynamics 1
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- Advanced Vision and Imaging 2
- Generative Adversarial Networks and Image Synthesis 1
- Human Pose and Action Recognition 1
- Co-authors
- Leonidas Guibas (5 shared papers)Or Litany (1 shared paper)Yueqi Duan (1 shared paper)Andrea Tagliasacchi (1 shared paper)Adrien Poulenard (1 shared paper)Chiyu Max Jiang (1 shared paper)Dragomir Anguelov (1 shared paper)Xinchen Yan (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (1 paper)Computational Visual Media (1 paper)Journal of the American Academy of Dermatology (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Congyue Deng
9 papers receiving 278 citations
Peers
Comparison fields: 5 of 64
- Computer Graphics and Computer-Aided Design 72
- Geology 40
- Computer Vision and Pattern Recognition 146
- Computational Mechanics 108
- Pharmaceutical Science 20
Countries citing papers authored by Congyue Deng
This map shows the geographic impact of Congyue Deng'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 Congyue Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congyue Deng more than expected).
Fields of papers citing papers by Congyue Deng
This network shows the impact of papers produced by Congyue Deng. 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 Congyue Deng. The network helps show where Congyue Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Congyue Deng, 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 | 2021 | 131 | |
| 2 | 2023 | 74 | |
| 3 | 2005 | 46 | |
| 4 | 2024 | 13 | |
| 5 | 2023 | 11 | |
| 6 | 2019 | 8 | |
| 7 | 2024 | 6 | |
| 8 | 2025 | 2 | |
| 9 | 2025 | 1 |
About Congyue Deng
Congyue Deng is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design and Dermatology, having authored 9 papers that have together received 292 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (3 papers), Robot Manipulation and Learning (3 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Vision and Imaging (2 papers), Robotic Mechanisms and Dynamics (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Human Pose and Action Recognition (1 paper) and Dermatology and Skin Diseases (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (72 citations), Geology (40 citations), Computer Vision and Pattern Recognition (146 citations), Computational Mechanics (108 citations) and Pharmaceutical Science (20 citations). Congyue Deng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Leonidas Guibas, Or Litany, Yueqi Duan, Andrea Tagliasacchi, Adrien Poulenard, Chiyu Max Jiang, Dragomir Anguelov, Xinchen Yan, Charles R. Qi and Yin Zhou. Their work appears in journals such as IEEE Robotics and Automation Letters, Computational Visual Media, Journal of the American Academy of Dermatology and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.