Wei-Pai Tang

656 total citations
22 papers, 500 citations indexed

About

Wei-Pai Tang is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Wei-Pai Tang has authored 22 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 15 papers in Computational Mechanics and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Wei-Pai Tang's work include Matrix Theory and Algorithms (18 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Electromagnetic Scattering and Analysis (8 papers). Wei-Pai Tang is often cited by papers focused on Matrix Theory and Algorithms (18 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Electromagnetic Scattering and Analysis (8 papers). Wei-Pai Tang collaborates with scholars based in United States, Canada and Sweden. Wei-Pai Tang's 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 and has published in prestigious journals such as SIAM Journal on Scientific Computing, Journal of Computational and Applied Mathematics and International Journal for Numerical Methods in Fluids.

In The Last Decade

Wei-Pai Tang

22 papers receiving 400 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wei-Pai Tang United States 13 341 281 200 104 54 22 500
Gunhild Lindskog Sweden 5 323 0.9× 213 0.8× 137 0.7× 136 1.3× 33 0.6× 11 423
Artem Napov Belgium 9 260 0.8× 255 0.9× 144 0.7× 71 0.7× 98 1.8× 24 467
Sabine Le Borne Germany 12 188 0.6× 230 0.8× 185 0.9× 67 0.6× 93 1.7× 44 421
Ángeles Martínez Italy 12 191 0.6× 173 0.6× 120 0.6× 103 1.0× 29 0.5× 41 348
Fabio Di Benedetto Italy 13 341 1.0× 95 0.3× 171 0.9× 94 0.9× 21 0.4× 32 471
M. Arioli United Kingdom 14 440 1.3× 241 0.9× 130 0.7× 261 2.5× 57 1.1× 29 590
Ivar Gustafsson Sweden 12 523 1.5× 503 1.8× 206 1.0× 223 2.1× 59 1.1× 25 777
Yuanzhe Xi United States 13 266 0.8× 117 0.4× 216 1.1× 48 0.5× 66 1.2× 36 390
Jennifer Pestana United Kingdom 13 271 0.8× 229 0.8× 143 0.7× 119 1.1× 83 1.5× 35 507
Igor Kaporin Russia 12 319 0.9× 214 0.8× 159 0.8× 114 1.1× 26 0.5× 35 460

Countries citing papers authored by Wei-Pai Tang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Bridson, Robert & Wei-Pai Tang. (2001). Multiresolution Approximate Inverse Preconditioners. SIAM Journal on Scientific Computing. 23(2). 463–479. 14 indexed citations
2.
Bridson, Robert & Wei-Pai Tang. (2001). A Structural Diagnosis of Some IC Orderings. SIAM Journal on Scientific Computing. 22(5). 1527–1532. 12 indexed citations
3.
George, Alan D., et al.. (2001). Multilevel One-Way Dissection Factorization. SIAM Journal on Matrix Analysis and Applications. 22(3). 752–771. 2 indexed citations
4.
Bridson, Robert & Wei-Pai Tang. (2000). Refining an approximate inverse. Journal of Computational and Applied Mathematics. 123(1-2). 293–306. 14 indexed citations
5.
Tang, Wei-Pai, et al.. (2000). Sparse Approximate Inverse Smoother for Multigrid. SIAM Journal on Matrix Analysis and Applications. 21(4). 1236–1252. 39 indexed citations
6.
George, Alan D., et al.. (2000). Numerical Simulation of Unsteady Incompressible Flow (\em Re \protect\boldmath $\leq$ 9500) on the Curvilinear Half-Staggered Mesh. SIAM Journal on Scientific Computing. 21(6). 2331–2351. 11 indexed citations
7.
Tang, Wei-Pai. (1999). Toward an Effective Sparse Approximate Inverse Preconditioner. SIAM Journal on Matrix Analysis and Applications. 20(4). 970–986. 36 indexed citations
8.
Bridson, Robert & Wei-Pai Tang. (1999). Ordering, Anisotropy, and Factored Sparse Approximate Inverses. SIAM Journal on Scientific Computing. 21(3). 867–882. 30 indexed citations
9.
Golub, Gene H., et al.. (1998). A Fast Poisson Solver for the Finite Difference Solution of the Incompressible Navier--Stokes Equations. SIAM Journal on Scientific Computing. 19(5). 1606–1624. 23 indexed citations
10.
Chan, Tony F., et al.. (1997). Wavelet sparse approximate inverse preconditioners. BIT Numerical Mathematics. 37(3). 644–660. 40 indexed citations
11.
Tang, Wei-Pai, et al.. (1996). An Overdetermined Schwarz Alternating Method. SIAM Journal on Scientific Computing. 17(4). 884–905. 10 indexed citations
12.
Forsyth, Peter, et al.. (1996). Performance Issues for Iterative Solvers in Device Simulation. SIAM Journal on Scientific Computing. 17(1). 100–117. 8 indexed citations
13.
Tang, Wei-Pai, et al.. (1995). Weighted graph based ordering techniques for preconditioned conjugate gradient methods. BIT Numerical Mathematics. 35(1). 30–47. 16 indexed citations
14.
D’Azevedo, E., Peter Forsyth, & Wei-Pai Tang. (1992). Drop tolerance preconditioning for incompressible viscous flow. International Journal of Computer Mathematics. 44(1-4). 301–312. 8 indexed citations
15.
D’Azevedo, E., et al.. (1992). Preconditioned conjugate gradient methods for the incompressible Navier‐Stokes equations. International Journal for Numerical Methods in Fluids. 15(3). 273–295. 31 indexed citations
16.
D’Azevedo, E., Peter Forsyth, & Wei-Pai Tang. (1992). Towards a cost-effective ILU preconditioner with high level fill. BIT Numerical Mathematics. 32(3). 442–463. 68 indexed citations
17.
D’Azevedo, E., Peter Forsyth, & Wei-Pai Tang. (1991). An Automatic Ordering Method for Incomplete Factorization Iterative Solvers. University of North Texas Digital Library (University of North Texas). 5 indexed citations
18.
Tang, Wei-Pai, et al.. (1991). An Automatic Ordering Method for Incomplete Factorization Iterative Solvers. 3 indexed citations
19.
Schreiber, Robert & Wei-Pai Tang. (1986). On systolic arrays for updating the Cholesky factorization. BIT Numerical Mathematics. 26(4). 451–466. 12 indexed citations
20.
Tang, Wei-Pai & Gene H. Golub. (1981). The block decomposition of a vandermonde matrix and its applications. BIT Numerical Mathematics. 21(4). 505–517. 38 indexed citations

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.

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