Zhuwen Li

4.5k total citations · 1 hit paper
28 papers, 1.6k citations indexed

About

Zhuwen Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Zhuwen Li has authored 28 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Zhuwen Li's work include Advanced Vision and Imaging (16 papers), Computer Graphics and Visualization Techniques (6 papers) and Human Pose and Action Recognition (5 papers). Zhuwen Li is often cited by papers focused on Advanced Vision and Imaging (16 papers), Computer Graphics and Visualization Techniques (6 papers) and Human Pose and Action Recognition (5 papers). Zhuwen Li collaborates with scholars based in United States, Singapore and China. Zhuwen Li's co-authors include Vladlen Koltun, Loong‐Fah Cheong, Qifeng Chen, Yinda Zhang, Antonio J. da Silva, Christopher E. Rudd, Steven Zhiying Zhou, Yanwei Fu, Stephan R. Richter and Thomas Brox and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Zhuwen Li

28 papers receiving 1.6k citations

Hit Papers

What Do Single-View 3D Reconstruction Networks Learn? 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhuwen Li United States 19 1.0k 419 304 224 221 28 1.6k
Hiroshi Kawasaki Japan 19 1.0k 1.0× 100 0.2× 198 0.7× 10 0.0× 203 0.9× 149 1.4k
David Chen United States 19 1.1k 1.1× 108 0.3× 110 0.4× 29 0.1× 52 0.2× 47 2.2k
Yujun Shen China 22 1.7k 1.7× 174 0.4× 266 0.9× 73 0.3× 22 0.1× 86 2.4k
Fuqiang Zhao China 12 575 0.6× 286 0.7× 391 1.3× 19 0.1× 41 0.2× 35 891
Ruomei Wang China 15 246 0.2× 90 0.2× 61 0.2× 78 0.3× 24 0.1× 94 969
Xuejin Chen China 20 762 0.8× 129 0.3× 192 0.6× 16 0.1× 93 0.4× 90 1.3k
Shihao Wu China 15 674 0.7× 781 1.9× 491 1.6× 10 0.0× 410 1.9× 27 1.5k
Hao Su China 17 291 0.3× 124 0.3× 88 0.3× 25 0.1× 45 0.2× 46 878
Miao Liao China 25 908 0.9× 74 0.2× 74 0.2× 48 0.2× 33 0.1× 102 1.6k

Countries citing papers authored by Zhuwen Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhuwen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuwen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuwen Li. A scholar is included among the top collaborators of Zhuwen Li 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 Zhuwen Li. Zhuwen Li 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
1.
Li, Zhuwen, et al.. (2023). DeepSFM: Robust Deep Iterative Refinement for Structure From Motion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(6). 4058–4074. 5 indexed citations
2.
Xu, Xun, Le Zhang, Loong‐Fah Cheong, Zhuwen Li, & Ce Zhu. (2021). Learning Clustering for Motion Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 32(3). 908–919. 14 indexed citations
3.
Wang, Nanyang, Yinda Zhang, Zhuwen Li, et al.. (2020). Pixel2Mesh: 3D Mesh Model Generation via Image Guided Deformation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(10). 3600–3613. 54 indexed citations
4.
Cheng, Shuo, Zexiang Xu, Shilin Zhu, et al.. (2020). Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness. 2521–2531. 226 indexed citations
5.
Zhang, Yinda, et al.. (2020). Neural Point Cloud Rendering via Multi-Plane Projection. 7827–7836. 55 indexed citations
6.
Li, Zhuwen, et al.. (2020). PBR-Net: Imitating Physically Based Rendering Using Deep Neural Network. IEEE Transactions on Image Processing. 29. 5980–5992. 5 indexed citations
7.
Lei, Chenyang, et al.. (2020). Video Depth Estimation by Fusing Flow-to-Depth Proposals. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 10100–10107. 15 indexed citations
8.
Wen, Chao, Yinda Zhang, Zhuwen Li, & Yanwei Fu. (2019). Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. 1042–1051. 131 indexed citations
9.
Xu, Xun, Loong‐Fah Cheong, & Zhuwen Li. (2019). 3D Rigid Motion Segmentation with Mixed and Unknown Number of Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(1). 1–16. 34 indexed citations
10.
Li, Zhuwen, Qifeng Chen, & Vladlen Koltun. (2018). Combinatorial optimization with graph convolutional networks and guided tree search. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 31. 537–546. 49 indexed citations
11.
Qin, Yongkun, Yan Li, Dangsheng Xiong, et al.. (2018). Wide temperature lubrication of LST/PEO/Ag/MoS2 multilayer coating. Surface Engineering. 35(1). 71–78. 10 indexed citations
12.
Li, Zhuwen, et al.. (2017). Simultaneous Clustering and Model Selection: Algorithm, Theory and Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(8). 1964–1978. 18 indexed citations
13.
Li, Zhuwen, Ping Tan, Robby T. Tan, et al.. (2015). Simultaneous video defogging and stereo reconstruction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4988–4997. 95 indexed citations
14.
Li, Zhuwen, Loong‐Fah Cheong, & Steven Zhiying Zhou. (2014). SCAMS: Simultaneous Clustering and Model Selection. 264–271. 20 indexed citations
15.
Li, Zhuwen, Yuxi Wang, Jiaming Guo, Loong‐Fah Cheong, & Steven Zhiying Zhou. (2013). Diminished reality using appearance and 3D geometry of internet photo collections. National University of Singapore. 11–19. 26 indexed citations
16.
Li, Zhuwen, Jiaming Guo, Loong‐Fah Cheong, & Steven Zhiying Zhou. (2013). Perspective Motion Segmentation via Collaborative Clustering. National University of Singapore. 43 indexed citations
17.
Li, Zhuwen. (2012). THE EVALUATIONAL STUDY ON ACCURACY OF 24 h DIETARY RECALL METHOD ASSISTED WITH ILLUSTRATIVE FOOD PICTURES. Acta Nutrimenta Sinica. 2 indexed citations
18.
Li, Zhuwen, Song Wang, Jinhui Yu, & Kwan‐Liu Ma. (2011). Restoration of Brick and Stone Relief from Single Rubbing Images. IEEE Transactions on Visualization and Computer Graphics. 18(2). 177–187. 40 indexed citations
19.
Veale, Margaret F., Monika Raab, Zhuwen Li, et al.. (1999). Novel Isoform of Lymphoid Adaptor FYN-T-binding Protein (FYB-130) Interacts with SLP-76 and Up-regulates Interleukin 2 Production. Journal of Biological Chemistry. 274(40). 28427–28435. 67 indexed citations
20.
Nunberg, Andrew N., Zhuwen Li, Molly A. Bogue, et al.. (1994). Developmental and Hormonal Regulation of Sunflower Helianthinin Genes: Proximal Promoter Sequences Confer Regionalized Seed Expression. The Plant Cell. 6(4). 473–473. 3 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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