Anpei Chen
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- Computer Graphics and Visualization Techniques 10
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- Advanced Vision and Imaging 8
- Generative Adversarial Networks and Image Synthesis 3
- Face recognition and analysis 2
- Image and Signal Denoising Methods 1
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis 7
- Advanced Numerical Analysis Techniques 1
- Geology top 10%
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- Medical Imaging Techniques and Applications 1
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- ACM Transactions on Graphics (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)Research Output (Edinburgh Napier University) (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Anpei Chen
13 papers receiving 676 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Computer Graphics and Computer-Aided Design 366
- Computer Vision and Pattern Recognition 612
- Computational Mechanics 285
- Geology 42
- Aerospace Engineering 60
Countries citing papers authored by Anpei Chen
This map shows the geographic impact of Anpei Chen'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 Anpei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anpei Chen more than expected).
Fields of papers citing papers by Anpei Chen
This network shows the impact of papers produced by Anpei Chen. 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 Anpei Chen. The network helps show where Anpei Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anpei Chen, 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 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 48 | |
| 6 | 2022 | 45 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 35 | |
| 9 | MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereobreakdown → | 2021 | 425 |
| 10 | 2021 | 13 | |
| 11 | 2020 | 23 | |
| 12 | 2019 | 63 | |
| 13 | 2019 | 2 | |
| 14 | 2018 | 25 |
About Anpei Chen
Anpei Chen is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Biophysics and Media Technology, having authored 14 papers that have together received 694 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (10 papers), Advanced Vision and Imaging (8 papers), 3D Shape Modeling and Analysis (7 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Face recognition and analysis (2 papers), Image and Signal Denoising Methods (1 paper), Medical Imaging Techniques and Applications (1 paper) and Advanced Numerical Analysis Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (366 citations), Computer Vision and Pattern Recognition (612 citations), Computational Mechanics (285 citations), Geology (42 citations) and Aerospace Engineering (60 citations). Anpei Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jingyi Yu, Fanbo Xiang, Hao Su, Fuqiang Zhao, Zexiang Xu, Xiaoshuai Zhang, Zhang Chen, Hao Su, Kenny Mitchell and Ruiyang Liu. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, Research Output (Edinburgh Napier University), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.