Zhongwei Tang
- Applied Mathematics top 2%
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Media Technology top 5%
- Co-authors
- Jean‐Michel MorelYuxia GuoPascal MonasseRafael Grompone von GioiThomas BartschDaomin CaoMiaomiao NiuYifei Lou
- Topics
- Nonlinear Partial Differential Equations (52 papers)Advanced Mathematical Modeling in Engineering (35 papers)Advanced Mathematical Physics Problems (33 papers)
- Journals
- IEEE Transactions on Image ProcessingJournal of the Optical Society of America AJournal of Mathematical Analysis and Applications
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Zhongwei Tang
51 papers receiving 471 citations
Peers
Comparison fields: 5 of 50
- Applied Mathematics 318
- Mathematical Physics 247
- Computational Theory and Mathematics 178
- Computer Vision and Pattern Recognition 125
- Media Technology 65
Countries citing papers authored by Zhongwei Tang
This map shows the geographic impact of Zhongwei Tang'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 Zhongwei Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongwei Tang more than expected).
Fields of papers citing papers by Zhongwei Tang
This network shows the impact of papers produced by Zhongwei Tang. 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 Zhongwei Tang. The network helps show where Zhongwei Tang may publish in the future.
Co-authorship network of co-authors of Zhongwei Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongwei Tang. A scholar is included among the top collaborators of Zhongwei Tang 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 Zhongwei Tang. Zhongwei Tang 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 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 14 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | 7 | |
| 18 | 28 | |
| 19 | 12 | |
| 20 | 37 |
About Zhongwei Tang
Zhongwei Tang is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 61 papers that have together received 501 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (52 papers), Advanced Mathematical Modeling in Engineering (35 papers) and Advanced Mathematical Physics Problems (33 papers). The work is most often cited by research in Applied Mathematics (318 citations), Mathematical Physics (247 citations) and Computational Theory and Mathematics (178 citations). Zhongwei Tang has collaborated with scholars based in China, France and United States. Frequent co-authors include Jean‐Michel Morel, Yuxia Guo, Pascal Monasse, Rafael Grompone von Gioi, Thomas Bartsch, Daomin Cao, Miaomiao Niu, Yifei Lou, Lushun Wang and Marcello Lucia. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of the Optical Society of America A and Journal of Mathematical Analysis and Applications.
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.