Wen‐Wei Lin

148 papers receiving 2.2k citations

Peers

Wen‐Wei Lin
Comparison fields: 5 of 99
  • Computational Mathematics 140
  • Numerical Analysis 781
  • Computational Theory and Mathematics 1.3k
  • Statistical and Nonlinear Physics 507
  • Mathematical Physics 207
Replace Moody T. Chu with:
Moody T. Chu United States
Shufang Xu China
Kyle A. Gallivan United States
Uwe Helmke Germany
Volker Mehrmann Germany
Krešimir Veselić Germany
Daniel Kreßner Switzerland
Bo Kågström Sweden
P. Dewilde Netherlands
Didier Henrion France
Wen‐Wei Lin relative to Moody T. Chu United States Moody T. Chu's profile →
Citations per field
00.5×1.5×1.9×
Moody T. Chu · 1×
Citations per year

Countries citing papers authored by Wen‐Wei Lin

Since Specialization
Citations

This map shows the geographic impact of Wen‐Wei Lin'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 Wen‐Wei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Wei Lin more than expected).

Fields of papers citing papers by Wen‐Wei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Wei Lin. 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 Wen‐Wei Lin. The network helps show where Wen‐Wei Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Wen‐Wei Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wen‐Wei Lin Line = papers co-authored together Wen‐Wei Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004128
2 200690
3 200684
4 199979
5 199876
6 201071
7 200370
8 200965
9 200652
10 200845
11 201944
12 200443
13 199742
14 200442
15 200941
16 200738
17 200438
18 198737
19 200736
20 200635

About Wen‐Wei Lin

Wen‐Wei Lin is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 155 papers that have together received 2.4k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (73 papers), Numerical methods for differential equations (36 papers), Advanced Optimization Algorithms Research (19 papers), Model Reduction and Neural Networks (15 papers), Nonlinear Dynamics and Pattern Formation (14 papers), Electromagnetic Scattering and Analysis (14 papers), Chaos control and synchronization (14 papers) and Advanced Numerical Methods in Computational Mathematics (9 papers). The work is most often cited by research in Computational Mathematics (140 citations), Numerical Analysis (781 citations), Computational Theory and Mathematics (1.3k citations), Statistical and Nonlinear Physics (507 citations) and Mathematical Physics (207 citations). Wen‐Wei Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shufang Xu, Yueh‐Cheng Kuo, Shu-Ming Chang, Eric King‐wah Chu, Moody T. Chu, Jonq Juang, Chun‐Hua Guo, Weichung Wang, Volker Mehrmann and Jenn‐Nan Wang. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, Linear Algebra and its Applications, Journal of Computational and Applied Mathematics, International Journal of Bifurcation and Chaos and Numerical Linear Algebra with 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.

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