Wai-Shing Tang
- Applied Mathematics top 2%
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics top 10%
- Mathematical Physics top 10%
- Radiology, Nuclear Medicine and Imaging
- Topics
- Mathematical Analysis and Transform Methods (15 papers)Image and Signal Denoising Methods (7 papers)Seismic Imaging and Inversion Techniques (4 papers)
- Journals
- Transactions of the American Mathematical SocietyProceedings of the American Mathematical SocietyLinear Algebra and its Applications
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Wai-Shing Tang
22 papers receiving 378 citations
Peers
Comparison fields: 5 of 39
- Applied Mathematics 287
- Computer Vision and Pattern Recognition 132
- Computational Mechanics 86
- Mathematical Physics 81
- Radiology, Nuclear Medicine and Imaging 55
Countries citing papers authored by Wai-Shing Tang
This map shows the geographic impact of Wai-Shing 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 Wai-Shing Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai-Shing Tang more than expected).
Fields of papers citing papers by Wai-Shing Tang
This network shows the impact of papers produced by Wai-Shing 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 Wai-Shing Tang. The network helps show where Wai-Shing Tang may publish in the future.
Co-authorship network of co-authors of Wai-Shing Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Wai-Shing Tang. A scholar is included among the top collaborators of Wai-Shing 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 Wai-Shing Tang. Wai-Shing 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 | 7 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 14 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 63 | |
| 14 | 17 | |
| 15 | 6 | |
| 16 | 80 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 45 | |
| 20 | 21 |
About Wai-Shing Tang
Wai-Shing Tang is a scholar working on Applied Mathematics, Algebra and Number Theory and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 395 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (15 papers), Image and Signal Denoising Methods (7 papers) and Seismic Imaging and Inversion Techniques (4 papers). The work is most often cited by research in Applied Mathematics (287 citations), Mathematical Physics (81 citations) and Computer Vision and Pattern Recognition (132 citations). Wai-Shing Tang has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Qiyu Sun, Akram Aldroubi, Deguang Han, Lin Chen, Ning Bi, David R. Larson, Eric Weber, Denny H. Leung, M. Zuhair Nashed and Jun Tan. Their work appears in journals such as Transactions of the American Mathematical Society, Proceedings of the American Mathematical Society and Linear Algebra and its 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.