Tong Wu
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Mechanics of Materials top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Control and Systems Engineering top 10%
- Co-authors
- G. R. LiuLin GaoYu‐Kun LaiYu-Jie YuanJie YangG.R. LiuHao ZhangHongbo Fu
- Topics
- Computer Graphics and Visualization Techniques (10 papers)3D Shape Modeling and Analysis (9 papers)Advanced Vision and Imaging (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionNumerical Analysis
- Journals
- Proceedings of the National Academy of SciencesIEEE Transactions on Pattern Analysis and Machine IntelligenceACM Transactions on Graphics
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Tong Wu
48 papers receiving 882 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 262
- Computational Mechanics 234
- Mechanics of Materials 218
- Computer Graphics and Computer-Aided Design 174
- Control and Systems Engineering 140
Countries citing papers authored by Tong Wu
This map shows the geographic impact of Tong Wu'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 Tong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Wu more than expected).
Fields of papers citing papers by Tong Wu
This network shows the impact of papers produced by Tong Wu. 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 Tong Wu. The network helps show where Tong Wu may publish in the future.
Co-authorship network of co-authors of Tong Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Tong Wu. A scholar is included among the top collaborators of Tong Wu 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 Tong Wu. Tong Wu 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 | 1 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 53 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 52 | |
| 13 | 2 | |
| 14 | 28 | |
| 15 | 149 | |
| 16 | 14 | |
| 17 | 13 | |
| 18 | 2 | |
| 19 | [Sensitivity evaluation and key sensitive factors identification of soil erosion around Hangzhou Bay based on RUSLE]. | 0 |
| 20 | 107 |
About Tong Wu
Tong Wu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Numerical Analysis, having authored 52 papers that have together received 910 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (10 papers), 3D Shape Modeling and Analysis (9 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (174 citations), Computer Vision and Pattern Recognition (262 citations) and Numerical Analysis (67 citations). Tong Wu has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include G. R. Liu, Lin Gao, Yu‐Kun Lai, Yu-Jie Yuan, Jie Yang, G.R. Liu, Hao Zhang, Hongbo Fu, Yin Xu and Shuangcheng Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on 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.