Boxiao Pan
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Face recognition and analysis
Papers in
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- Human Pose and Action Recognition 4
- Advanced Vision and Imaging 2
- Video Analysis and Summarization 2
- Multimodal Machine Learning Applications 2
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- 3D Shape Modeling and Analysis 3
- Co-authors
- Leonidas Guibas (6 shared papers)Tero Karras (1 shared paper)Sameh Khamis (1 shared paper)Eric R. Chan (1 shared paper)Koki Nagano (1 shared paper)Connor Z. Lin (1 shared paper)Shalini De Mello (1 shared paper)Orazio Gallo (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)UPCommons institutional repository (Universitat Politècnica de Catalunya) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)IOP Conference Series Earth and Environmental Science (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Boxiao Pan
10 papers receiving 1.0k citations
Boxiao Pan's Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Graphics and Computer-Aided Design 369
- Computer Vision and Pattern Recognition 855
- Computational Mechanics 353
- Geology 36
- Artificial Intelligence 141
Countries citing papers authored by Boxiao Pan
This map shows the geographic impact of Boxiao Pan'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 Boxiao Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boxiao Pan more than expected).
Fields of papers citing papers by Boxiao Pan
This network shows the impact of papers produced by Boxiao Pan. 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 Boxiao Pan. The network helps show where Boxiao Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Boxiao Pan, 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 | Efficient Geometry-aware 3D Generative Adversarial Networks Hit paper breakdown → | 2022 | 733 |
| 2 | 2020 | 187 | |
| 3 | 2020 | 65 | |
| 4 | 2023 | 20 | |
| 5 | 2023 | 6 | |
| 6 | 2018 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2019 | 1 | |
| 10 | 2024 | 1 |
About Boxiao Pan
Boxiao Pan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Transportation, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Computer Graphics and Visualization Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers), Advanced Vision and Imaging (2 papers), Video Analysis and Summarization (2 papers), Multimodal Machine Learning Applications (2 papers), Adversarial Robustness in Machine Learning (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (369 citations), Computer Vision and Pattern Recognition (855 citations), Computational Mechanics (353 citations), Geology (36 citations) and Artificial Intelligence (141 citations). Boxiao Pan has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Leonidas Guibas, Tero Karras, Sameh Khamis, Eric R. Chan, Koki Nagano, Connor Z. Lin, Shalini De Mello, Orazio Gallo, Gordon Wetzstein and Matthew A. Chan. Their work appears in journals such as Lecture notes in computer science, UPCommons institutional repository (Universitat Politècnica de Catalunya), Proceedings of the AAAI Conference on Artificial Intelligence, IOP Conference Series Earth and Environmental Science and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.