Boxiao Pan

1.5k total citations · 1 hit paper
9 papers, 845 citations indexed

About

Boxiao Pan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Boxiao Pan has authored 9 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Boxiao Pan's work include Human Pose and Action Recognition (4 papers), Computer Graphics and Visualization Techniques (3 papers) and 3D Shape Modeling and Analysis (3 papers). Boxiao Pan is often cited by papers focused on Human Pose and Action Recognition (4 papers), Computer Graphics and Visualization Techniques (3 papers) and 3D Shape Modeling and Analysis (3 papers). Boxiao Pan collaborates with scholars based in United States, Hong Kong and United Kingdom. Boxiao Pan's co-authors include Leonidas Guibas, Gordon Wetzstein, Orazio Gallo, Eric R. Chan, Sameh Khamis, Koki Nagano, Tero Karras, Matthew A. Chan, Shalini De Mello and Connor Z. Lin and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), QRU Quaderns de Recerca en Urbanisme and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Boxiao Pan

9 papers receiving 829 citations

Hit Papers

Efficient Geometry-aware 3D Generative Adversarial Networks 2022 2026 2023 2024 2022 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Boxiao Pan United States 4 724 294 283 116 53 9 845
Connor Z. Lin United States 3 576 0.8× 341 1.2× 322 1.1× 45 0.4× 49 0.9× 4 716
Eric R. Chan United States 7 677 0.9× 410 1.4× 376 1.3× 48 0.4× 62 1.2× 8 858
Matthew A. Chan United States 2 544 0.8× 327 1.1× 298 1.1× 35 0.3× 53 1.0× 4 666
Andreas Lehrmann Germany 4 492 0.7× 277 0.9× 231 0.8× 50 0.4× 78 1.5× 8 562
Edgar Tretschk Germany 4 386 0.5× 244 0.8× 242 0.9× 28 0.2× 28 0.5× 4 477
Fanbo Xiang United States 5 448 0.6× 296 1.0× 203 0.7× 29 0.3× 43 0.8× 9 541
Michael Zollhoefer United States 8 450 0.6× 256 0.9× 284 1.0× 26 0.2× 77 1.5× 13 560
Anpei Chen China 8 612 0.8× 366 1.2× 285 1.0× 23 0.2× 23 0.4× 14 694
Can Wang China 10 293 0.4× 181 0.6× 143 0.5× 57 0.5× 50 0.9× 30 488
Iro Laina United Kingdom 7 392 0.5× 108 0.4× 89 0.3× 148 1.3× 35 0.7× 13 505

Countries citing papers authored by Boxiao Pan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Boxiao Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Boxiao Pan. A scholar is included among the top collaborators of Boxiao Pan 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 Boxiao Pan. Boxiao Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Pan, Boxiao, Georgios Pavlakos, Bokui Shen, et al.. (2024). MultiPhys: Multi-Person Physics-Aware 3D Motion Estimation. QRU Quaderns de Recerca en Urbanisme. 2331–2340. 1 indexed citations
2.
Guibas, Leonidas, Chun-Hao P. Huang, Boxiao Pan, et al.. (2024). ActAnywhere: Subject-Aware Video Background Generation. 29754–29776. 1 indexed citations
3.
Xu, Xiaomeng, Yanchao Yang, Kaichun Mo, et al.. (2023). JacobiNeRF: NeRF Shaping with Mutual Information Gradients. 16498–16507. 3 indexed citations
4.
Pan, Boxiao, et al.. (2023). Generating Part-Aware Editable 3D Shapes without 3D Supervision. SPIRE - Sciences Po Institutional REpository. 4466–4478. 13 indexed citations
5.
Pan, Boxiao, Bokui Shen, Davis Rempe, et al.. (2023). COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos. 5239–5249. 3 indexed citations
6.
Chan, Eric R., Connor Z. Lin, Matthew A. Chan, et al.. (2022). Efficient Geometry-aware 3D Generative Adversarial Networks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16102–16112. 600 indexed citations breakdown →
7.
Pan, Boxiao, De-An Huang, Kuan-Hui Lee, et al.. (2020). Spatio-Temporal Graph for Video Captioning With Knowledge Distillation. 10867–10876. 165 indexed citations
8.
Pan, Boxiao, Zhangjie Cao, Ehsan Adeli, & Juan Carlos Niebles. (2020). Adversarial Cross-Domain Action Recognition with Co-Attention. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 11815–11822. 58 indexed citations
9.
Pan, Boxiao, et al.. (2019). Study on the Adjustment of the Network Interface for the Station Domain Protection Device Based on RTDS. IOP Conference Series Earth and Environmental Science. 354(1). 12113–12113. 1 indexed citations

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.

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