Wei-Pai Tang
- Computational Theory and Mathematics top 2%
- Computational Mechanics top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Numerical Analysis top 5%
- Electrical and Electronic Engineering
- Co-authors
- Peter ForsythE. D’AzevedoRobert BridsonGene H. GolubTony F. ChanHorst D. SimonRobert SchreiberAlan D. George
- Topics
- Matrix Theory and Algorithms (18 papers)Advanced Numerical Methods in Computational Mathematics (13 papers)Electromagnetic Scattering and Analysis (8 papers)
- Journals
- SIAM Journal on Scientific ComputingJournal of Computational and Applied MathematicsInternational Journal for Numerical Methods in Fluids
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Wei-Pai Tang
22 papers receiving 400 citations
Peers
Comparison fields: 5 of 52
- Computational Theory and Mathematics 341
- Computational Mechanics 281
- Atomic and Molecular Physics, and Optics 200
- Numerical Analysis 104
- Electrical and Electronic Engineering 54
Countries citing papers authored by Wei-Pai Tang
This map shows the geographic impact of Wei-Pai 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 Wei-Pai Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Pai Tang more than expected).
Fields of papers citing papers by Wei-Pai Tang
This network shows the impact of papers produced by Wei-Pai 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 Wei-Pai Tang. The network helps show where Wei-Pai Tang may publish in the future.
Co-authorship network of co-authors of Wei-Pai Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Pai Tang. A scholar is included among the top collaborators of Wei-Pai 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 Wei-Pai Tang. Wei-Pai 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 | 14 | |
| 2 | 12 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 39 | |
| 6 | 11 | |
| 7 | 36 | |
| 8 | 30 | |
| 9 | 23 | |
| 10 | 40 | |
| 11 | 10 | |
| 12 | 8 | |
| 13 | 16 | |
| 14 | 8 | |
| 15 | 31 | |
| 16 | 68 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 12 | |
| 20 | 38 |
About Wei-Pai Tang
Wei-Pai Tang is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics, having authored 22 papers that have together received 500 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (18 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Electromagnetic Scattering and Analysis (8 papers). The work is most often cited by research in Computational Mathematics (18 citations), Computational Theory and Mathematics (341 citations) and Numerical Analysis (104 citations). Wei-Pai Tang has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Peter Forsyth, E. D’Azevedo, Robert Bridson, Gene H. Golub, Tony F. Chan, Horst D. Simon, Robert Schreiber and Alan D. George. Their work appears in journals such as SIAM Journal on Scientific Computing, Journal of Computational and Applied Mathematics and International Journal for Numerical Methods in Fluids.
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.