Wen‐Wei Lin

150 papers receiving 2.2k citations

Peers

Wen‐Wei Lin
Comparison fields: 5 of 101
  • Computational Mathematics 143
  • Numerical Analysis 780
  • Computational Theory and Mathematics 1.3k
  • Statistical and Nonlinear Physics 505
  • Mathematical Physics 208
Replace Moody T. Chu with:
Moody T. Chu United States
Shufang Xu China
Kyle A. Gallivan United States
Charles Kenney United States
Krešimir Veselić Germany
Uwe Helmke Germany
Daniel Kreßner Switzerland
Volker Mehrmann Germany
Bo Kågström Sweden
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 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004129
2 200689
3 200684
4 199979
5 199875
6 201072
7 200371
8 200965
9 200652
10 200845
11 201944
12 200443
13 199742
14 200942
15 200442
16 198738
17 200438
18 200738
19 200736
20 200935

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 156 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), Electromagnetic Scattering and Analysis (14 papers), Chaos control and synchronization (14 papers), Nonlinear Dynamics and Pattern Formation (14 papers) and Advanced Numerical Methods in Computational Mathematics (9 papers). The work is most often cited by research in Computational Mathematics (143 citations), Numerical Analysis (780 citations), Computational Theory and Mathematics (1.3k citations), Statistical and Nonlinear Physics (505 citations) and Mathematical Physics (208 citations). Wen‐Wei Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shufang Xu, Shu-Ming Chang, Eric King‐wah Chu, Yueh‐Cheng Kuo, Moody T. Chu, Jonq Juang, Chun‐Hua Guo, Weichung Wang, Tai‐Chia Lin and Volker Mehrmann. 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 Journal of Computational Physics.

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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