Wen‐Wei Lin

3.3k total citations
155 papers, 2.4k citations indexed

About

Wen‐Wei Lin is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Wen‐Wei Lin has authored 155 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Computational Theory and Mathematics, 55 papers in Numerical Analysis and 36 papers in Statistical and Nonlinear Physics. Recurrent topics in Wen‐Wei Lin's work include Matrix Theory and Algorithms (73 papers), Numerical methods for differential equations (36 papers) and Advanced Optimization Algorithms Research (19 papers). Wen‐Wei Lin is often cited by papers focused on Matrix Theory and Algorithms (73 papers), Numerical methods for differential equations (36 papers) and Advanced Optimization Algorithms Research (19 papers). Wen‐Wei Lin collaborates with scholars based in Taiwan, China and United States. Wen‐Wei Lin's 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 TingTing Hwang and has published in prestigious journals such as Journal of Neuroscience, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Wen‐Wei Lin

148 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen‐Wei Lin Taiwan 26 1.3k 781 507 490 282 155 2.4k
Moody T. Chu United States 27 1.4k 1.1× 840 1.1× 356 0.7× 202 0.4× 298 1.1× 97 2.6k
Daniel Kreßner Switzerland 25 1.5k 1.2× 777 1.0× 628 1.2× 431 0.9× 41 0.1× 148 2.8k
Biswa Nath Datta United States 26 944 0.7× 695 0.9× 339 0.7× 168 0.3× 769 2.7× 117 2.5k
Marko D. Petković Serbia 21 391 0.3× 288 0.4× 694 1.4× 171 0.3× 111 0.4× 96 1.7k
P. Dewilde Netherlands 21 695 0.5× 238 0.3× 256 0.5× 231 0.5× 355 1.3× 95 2.3k
Kyle A. Gallivan United States 32 713 0.6× 776 1.0× 882 1.7× 134 0.3× 63 0.2× 147 3.5k
Changfeng Ma China 24 1.4k 1.1× 1.1k 1.4× 162 0.3× 317 0.6× 43 0.2× 192 2.0k
Anders Lindquist Sweden 30 525 0.4× 420 0.5× 603 1.2× 98 0.2× 265 0.9× 109 2.9k
Goong Chen United States 34 872 0.7× 291 0.4× 950 1.9× 587 1.2× 91 0.3× 128 3.8k
James V. Burke United States 34 2.0k 1.5× 1.8k 2.3× 154 0.3× 103 0.2× 199 0.7× 90 3.5k

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-authorship network of co-authors of Wen‐Wei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Wei Lin. A scholar is included among the top collaborators of Wen‐Wei Lin 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 Wen‐Wei Lin. Wen‐Wei Lin 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.
Cao, Chuqing, et al.. (2025). Research on Negative Road Obstacle Detection Based on Multimodal Feature Enhancement and Fusion. Applied Sciences. 15(3). 1292–1292.
2.
Li, Tiexiang, et al.. (2024). A contour integral-based method for nonlinear eigenvalue problems for semi-infinite photonic crystals. Computer Physics Communications. 306. 109377–109377.
3.
Fang, Vivian W., et al.. (2023). Tracing Contagion Risk: From Crypto or Stock?. SSRN Electronic Journal. 4 indexed citations
4.
Li, Tiexiang, et al.. (2023). Band Structure Calculations of Three-Dimensional Anisotropic Photonic Crystals in the Oblique Coordinate System. SIAM Journal on Scientific Computing. 45(4). B440–B466.
5.
Li, Tiexiang, et al.. (2023). Ellipsoidal conformal and area-/volume-preserving parameterizations and associated optimal mass transportations. Advances in Computational Mathematics. 49(4). 1 indexed citations
6.
Lin, Wen‐Wei, et al.. (2023). Research on Digital Meter Reading Method of Inspection Robot Based on Deep Learning. Applied Sciences. 13(12). 7146–7146. 4 indexed citations
7.
Chen, Xiaoyong, Wen‐Wei Lin, Lixin Chen, et al.. (2022). FM-Level Detection of Glucose Using a Grating Based Sensor Enhanced With Graphene Oxide. Journal of Lightwave Technology. 41(13). 4145–4152. 8 indexed citations
8.
Chen, Xiaoyong, et al.. (2021). Study on a Plasmonic Tilted Fiber Grating-Based Biosensor for Calmodulin Detection. Biosensors. 11(6). 195–195. 14 indexed citations
9.
Song, Limei, Wen‐Wei Lin, Yangang Yang, et al.. (2019). Weak Micro-Scratch Detection Based on Deep Convolutional Neural Network. IEEE Access. 7. 27547–27554. 44 indexed citations
10.
Bai, Zhaojun, et al.. (2011). A Structured Quasi-Arnoldi procedure for model order reduction of second-order systems. Linear Algebra and its Applications. 436(8). 2780–2794. 5 indexed citations
11.
Kuo, Yueh‐Cheng, et al.. (2011). Complex symmetric stabilizing solution of the matrix equation X+AX-1A=Q. Linear Algebra and its Applications. 435(6). 1187–1192. 18 indexed citations
12.
Chu, Eric King‐wah, et al.. (2010). The Rayleigh–Ritz method, refinement and Arnoldi process for periodic matrix pairs. Journal of Computational and Applied Mathematics. 235(8). 2626–2639. 3 indexed citations
13.
Li, Tiexiang, et al.. (2010). The palindromic generalized eigenvalue problem Ax=λAx: Numerical solution and applications. Linear Algebra and its Applications. 434(11). 2269–2284. 10 indexed citations
14.
Chu, Eric King‐wah, et al.. (2007). Vibration of fast trains, palindromic eigenvalue problems and structure-preserving doubling algorithms. Journal of Computational and Applied Mathematics. 219(1). 237–252. 36 indexed citations
15.
Wang, Jenn‐Nan, Biswa Nath Datta, & Wen‐Wei Lin. (2003). Robust and minimum gain partial pole assignment for a third order system. NTUR (臺灣機構典藏). 2358–2363. 5 indexed citations
16.
Lin, Wen‐Wei, et al.. (2003). Numerical simulation of three dimensional pyramid quantum dot. Journal of Computational Physics. 196(1). 208–232. 70 indexed citations
17.
Lin, Wen‐Wei, et al.. (1997). Conjugate gradient and minimal residual methods for solving symmetric indefinite systems. Journal of Computational and Applied Mathematics. 84(2). 243–256. 5 indexed citations
18.
Lu, Linzhang & Wen‐Wei Lin. (1993). An iterative algorithm for the solution of the discrete-time algebraic Riccati equation. Linear Algebra and its Applications. 188-189. 465–488. 20 indexed citations
19.
Lin, Wen‐Wei, et al.. (1992). A KQZ algorithm for solving linear-response eigenvalue equations. Linear Algebra and its Applications. 165. 93–123. 14 indexed citations
20.
Lin, Wen‐Wei. (1988). The computation of the Kronecker canonical form of an arbitrary symmetric pencil. Linear Algebra and its Applications. 103. 41–71. 2 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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