Pengfei Wan

2.2k total citations · 1 hit paper
55 papers, 843 citations indexed

About

Pengfei Wan is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing. According to data from OpenAlex, Pengfei Wan has authored 55 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 11 papers in Computer Graphics and Computer-Aided Design and 9 papers in Signal Processing. Recurrent topics in Pengfei Wan's work include Advanced Vision and Imaging (16 papers), Advanced Image Processing Techniques (14 papers) and Computer Graphics and Visualization Techniques (11 papers). Pengfei Wan is often cited by papers focused on Advanced Vision and Imaging (16 papers), Advanced Image Processing Techniques (14 papers) and Computer Graphics and Visualization Techniques (11 papers). Pengfei Wan collaborates with scholars based in China, Hong Kong and United States. Pengfei Wan's co-authors include Wen Zheng, Yan‐Pei Cao, Zhizhong Han, Xin Wen, Yu-Shen Liu, Xiang Peng, Oscar C. Au, Gene Cheung, Dinei Florêncio and Cha Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Pengfei Wan

41 papers receiving 828 citations

Hit Papers

SnowflakeNet: Point Cloud Completion by Snowflake Point D... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer
    2021 171 citations Xin Wen, Yu-Shen Liu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengfei Wan China 14 472 394 231 201 96 55 843
Zhongang Cai Singapore 14 524 1.1× 376 1.0× 174 0.8× 178 0.9× 86 0.9× 25 854
David Novotný United Kingdom 12 637 1.3× 311 0.8× 122 0.5× 238 1.2× 42 0.4× 32 901
Yan‐Pei Cao China 17 576 1.2× 622 1.6× 317 1.4× 422 2.1× 125 1.3× 57 1.1k
I‐Chao Shen Taiwan 9 457 1.0× 629 1.6× 429 1.9× 275 1.4× 200 2.1× 39 930
Paul Guerrero United States 12 479 1.0× 517 1.3× 246 1.1× 347 1.7× 151 1.6× 37 879
Stephan R. Richter Germany 11 425 0.9× 244 0.6× 114 0.5× 154 0.8× 26 0.3× 19 643
A. Cengiz Öztireli Switzerland 14 494 1.0× 496 1.3× 191 0.8× 375 1.9× 136 1.4× 31 853
Kyle Genova United States 11 1.1k 2.3× 621 1.6× 130 0.6× 597 3.0× 68 0.7× 14 1.4k
Yueshan Xiong China 14 496 1.1× 451 1.1× 128 0.6× 273 1.4× 33 0.3× 41 747
Kiran Varanasi Germany 12 807 1.7× 443 1.1× 81 0.4× 161 0.8× 25 0.3× 24 948

Countries citing papers authored by Pengfei Wan

Since Specialization
Citations

This map shows the geographic impact of Pengfei Wan'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 Pengfei Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Wan more than expected).

Fields of papers citing papers by Pengfei Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pengfei Wan. 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 Pengfei Wan. The network helps show where Pengfei Wan may publish in the future.

Co-authorship network of co-authors of Pengfei Wan

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

All Works

20 of 20 papers shown
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Pan, Shaohua, et al.. (2025). DiffCap: Diffusion-Based Real-Time Human Motion Capture Using Sparse IMUs and a Monocular Camera. IEEE Transactions on Visualization and Computer Graphics. 31(12). 10272–10283.
3.
Jia, Xu, Huchuan Lu, Tianfan Xue, et al.. (2025). CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation. 1–10. 1 indexed citations
4.
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Tao, Xin, et al.. (2025). Motion Inversion for Video Customization. 1–12.
6.
Zhang, Tao, Shunping Ji, Xin Tao, et al.. (2025). DVIS++: Improved Decoupled Framework for Universal Video Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5918–5929. 1 indexed citations
7.
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Ye, Zixuan, et al.. (2025). StyleMaster: Stylize Your Video with Artistic Generation and Translation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2630–2640.
9.
Ke, Lin, Jun‐Yu Ou, Rui Chen, et al.. (2025). Towards Precise Scaling Laws for Video Diffusion Transformers. 18155–18165.
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Shi, Yukai, Jun‐Yu Ou, Rui Chen, et al.. (2025). Koala-36M : A Large-Scale Video Dataset Improving Consistency between Fine-Grained Conditions and Video Content. 8428–8437. 2 indexed citations
12.
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Wan, Pengfei, et al.. (2024). PlacidDreamer: Advancing Harmony in Text-to-3D Generation. 6880–6889.
14.
Hou, Liang, Yuan Gao, Pengfei Wan, et al.. (2024). I2V-Adapter: A General Image-to-Video Adapter for Diffusion Models. 1–12. 8 indexed citations
15.
Huang, Haibin, et al.. (2023). Towards Practical Capture of High-Fidelity Relightable Avatars. ORCA Online Research @Cardiff (Cardiff University). 1–11. 7 indexed citations
16.
Huang, Haibin, et al.. (2023). Multi‐Modal Face Stylization with a Generative Prior. Computer Graphics Forum. 42(7).
17.
Li, Guoan, et al.. (2023). EM-Gaze: eye context correlation and metric learning for gaze estimation. SHILAP Revista de lepidopterología. 6(1). 8–8. 3 indexed citations
18.
Shu, Yezhi, Yuji Wang, Yu‐Kun Lai, et al.. (2023). FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2919–2927. 2 indexed citations
19.
Peng, Xiang, Xin Wen, Yu-Shen Liu, et al.. (2022). Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 1–18. 48 indexed citations
20.
Yi, Ran, Juyong Zhang, Guoxin Zhang, et al.. (2022). Predicting Personalized Head Movement From Short Video and Speech Signal. IEEE Transactions on Multimedia. 25. 6315–6328. 14 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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