Peng‐Shuai Wang

1.7k total citations · 2 hit papers
36 papers, 959 citations indexed

About

Peng‐Shuai Wang is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Peng‐Shuai Wang has authored 36 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Mechanics, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Peng‐Shuai Wang's work include 3D Shape Modeling and Analysis (21 papers), Computer Graphics and Visualization Techniques (14 papers) and Advanced Numerical Analysis Techniques (10 papers). Peng‐Shuai Wang is often cited by papers focused on 3D Shape Modeling and Analysis (21 papers), Computer Graphics and Visualization Techniques (14 papers) and Advanced Numerical Analysis Techniques (10 papers). Peng‐Shuai Wang collaborates with scholars based in China, United States and United Kingdom. Peng‐Shuai Wang's co-authors include Xin Tong, Yang Liu, Chunyu Sun, Hao Pan, Shilin Liu, Yu Qiao, Tong He, Zhijian Liu, Xiaoyang Wu and Hengshuang Zhao and has published in prestigious journals such as Scientific Reports, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Peng‐Shuai Wang

32 papers receiving 942 citations

Hit Papers

Point Transformer V3: Simpler, Faster, Stronger 2024 2026 2025 2024 2025 40 80 120
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. Point Transformer V3: Simpler, Faster, Stronger
    2024 125 citations Xiaoyang Wu, Li Jiang et al. profile →
  2. Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding
    2025 19 citations Yuqi Yang, Yuxiao Guo et al. Computational Visual Media profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng‐Shuai Wang China 16 624 434 396 223 116 36 959
Zhonggui Chen China 15 436 0.7× 393 0.9× 270 0.7× 156 0.7× 121 1.0× 63 886
Gaël Guennebaud France 8 562 0.9× 417 1.0× 393 1.0× 179 0.8× 98 0.8× 16 897
A. Cengiz Öztireli Switzerland 14 496 0.8× 375 0.9× 494 1.2× 191 0.9× 136 1.2× 31 853
Gaël Guennebaud France 15 740 1.2× 644 1.5× 583 1.5× 295 1.3× 189 1.6× 28 1.2k
Ravi Krishna Kolluri United States 4 552 0.9× 523 1.2× 399 1.0× 141 0.6× 84 0.7× 7 921
Joshua Mittleman United States 3 509 0.8× 490 1.1× 500 1.3× 403 1.8× 218 1.9× 3 1.2k
Wenxuan Wu China 6 823 1.3× 254 0.6× 435 1.1× 617 2.8× 435 3.8× 17 1.2k
N.D. Cornea United States 7 397 0.6× 282 0.6× 463 1.2× 46 0.2× 45 0.4× 12 719
Zhengqin Li United States 12 196 0.3× 340 0.8× 897 2.3× 76 0.3× 49 0.4× 24 1.2k
Martin Bokeloh Germany 17 611 1.0× 469 1.1× 766 1.9× 289 1.3× 144 1.2× 29 1.2k

Countries citing papers authored by Peng‐Shuai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peng‐Shuai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peng‐Shuai Wang. 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 Peng‐Shuai Wang. The network helps show where Peng‐Shuai Wang may publish in the future.

Co-authorship network of co-authors of Peng‐Shuai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Peng‐Shuai Wang. A scholar is included among the top collaborators of Peng‐Shuai Wang 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 Peng‐Shuai Wang. Peng‐Shuai Wang 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.
Wang, Jun, et al.. (2025). Neural Visibility of Point Sets. ArXiv.org. 1–11.
2.
3.
Yang, Yuqi, Yuxiao Guo, Yang Liu, et al.. (2025). Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding. Computational Visual Media. 11(1). 83–101. 19 indexed citations breakdown →
4.
Gao, Xifeng, Zherong Pan, Wei Li, et al.. (2024). Visual-Preserving Mesh Repair. IEEE Transactions on Visualization and Computer Graphics. 30(9). 6586–6597. 5 indexed citations
5.
Cao, Zhengzheng, Peng‐Shuai Wang, Zhenhua Li, & Feng Du. (2024). Migration mechanism of grouting slurry and permeability reduction in mining fractured rock mass. Scientific Reports. 14(1). 3446–3446. 21 indexed citations
6.
Wang, Peng‐Shuai, et al.. (2024). Experimental research on mechanical performance of grouting plugging material with large amount of fly ash. Scientific Reports. 14(1). 6308–6308. 11 indexed citations
7.
Wu, Xiaoyang, Li Jiang, Peng‐Shuai Wang, et al.. (2024). Point Transformer V3: Simpler, Faster, Stronger. 4840–4851. 125 indexed citations breakdown →
8.
Wang, Zixiong, Peng‐Shuai Wang, Junjie Gao, et al.. (2023). Neural-IMLS: Self-Supervised Implicit Moving Least-Squares Network for Surface Reconstruction. IEEE Transactions on Visualization and Computer Graphics. 30(8). 5018–5033. 6 indexed citations
9.
Pan, Hao, et al.. (2023). Locally Attentional SDF Diffusion for Controllable 3D Shape Generation. ACM Transactions on Graphics. 42(4). 1–13. 60 indexed citations
10.
Wang, Peng‐Shuai, et al.. (2023). SinMPI: Novel View Synthesis from a Single Image with Expanded Multiplane Images. 1–10. 2 indexed citations
11.
Sun, Chunyu, Yuqi Yang, Peng‐Shuai Wang, et al.. (2023). Semi-supervised 3D shape segmentation with multilevel consistency and part substitution. Computational Visual Media. 9(2). 229–247. 10 indexed citations
12.
Wu, Huimin, Chenyang Lei, Xiao Sun, et al.. (2023). Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 16259–16270. 4 indexed citations
13.
Liu, Yang, et al.. (2022). SDF‐StyleGAN: Implicit SDF‐Based StyleGAN for 3D Shape Generation. Computer Graphics Forum. 41(5). 52–63. 44 indexed citations
14.
Wang, Peng‐Shuai, et al.. (2021). Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 2773–2781. 30 indexed citations
15.
Wang, Peng‐Shuai, et al.. (2021). OctSurf: Efficient hierarchical voxel-based molecular surface representation for protein-ligand affinity prediction. Journal of Molecular Graphics and Modelling. 105. 107865–107865. 30 indexed citations
16.
Yang, Yuqi, Peng‐Shuai Wang, & Yang Liu. (2021). Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7447–7455. 2 indexed citations
17.
Wang, Peng‐Shuai, Yang Liu, Yuqi Yang, & Xin Tong. (2021). Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields. 1091–1097. 13 indexed citations
18.
Wang, Peng‐Shuai, Chunyu Sun, Yang Liu, & Xin Tong. (2018). Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes. arXiv (Cornell University). 76 indexed citations
19.
Wang, Peng‐Shuai, Chunyu Sun, Yang Liu, & Xin Tong. (2018). Adaptive O-CNN. ACM Transactions on Graphics. 37(6). 1–11. 85 indexed citations
20.
Jiang, Xiamin, et al.. (2016). Effects of social hierarchy on the growth, survival and related enzyme activities of Sepia pharaonis.. JOURNAL OF FISHERIES OF CHINA. 40(12). 1897–1905. 2 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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