Peng‐Shuai Wang
- Computational Mechanics top 2%
- Computer Graphics and Computer-Aided Design top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Geology top 2%
- Environmental Engineering top 10%
- Co-authors
- Xin TongYang LiuChunyu SunHao PanShilin LiuHengshuang ZhaoLi JiangXihui Liu
- Topics
- 3D Shape Modeling and Analysis (21 papers)Computer Graphics and Visualization Techniques (14 papers)Advanced Numerical Analysis Techniques (10 papers)
- Journals
- Scientific ReportsACM Transactions on GraphicsIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Peng‐Shuai Wang
32 papers receiving 942 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Computational Mechanics 624
- Computer Graphics and Computer-Aided Design 434
- Computer Vision and Pattern Recognition 396
- Geology 223
- Environmental Engineering 116
Countries citing papers authored by Peng‐Shuai Wang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understandingbreakdown → | 19 |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 21 | |
| 7 | Point Transformer V3: Simpler, Faster, Strongerbreakdown → | 125 |
| 8 | 2 | |
| 9 | 60 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 44 | |
| 15 | 30 | |
| 16 | 30 | |
| 17 | 2 | |
| 18 | 76 | |
| 19 | 85 | |
| 20 | Effects of social hierarchy on the growth, survival and related enzyme activities of Sepia pharaonis. | 2 |
About Peng‐Shuai Wang
Peng‐Shuai Wang is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computational Mechanics, having authored 36 papers that have together received 959 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (21 papers), Computer Graphics and Visualization Techniques (14 papers) and Advanced Numerical Analysis Techniques (10 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (434 citations), Geology (223 citations) and Computational Mechanics (624 citations). Peng‐Shuai Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xin Tong, Yang Liu, Chunyu Sun, Hao Pan, Shilin Liu, Hengshuang Zhao, Li Jiang, Xihui Liu, Zhijian Liu and Wanli Ouyang. Their work appears in journals such as Scientific Reports, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.
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.