Soon‐Yi Wu

1.1k total citations
69 papers, 847 citations indexed

About

Soon‐Yi Wu is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Soon‐Yi Wu has authored 69 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computational Theory and Mathematics, 41 papers in Numerical Analysis and 17 papers in Control and Systems Engineering. Recurrent topics in Soon‐Yi Wu's work include Optimization and Variational Analysis (45 papers), Advanced Optimization Algorithms Research (41 papers) and Fixed Point Theorems Analysis (13 papers). Soon‐Yi Wu is often cited by papers focused on Optimization and Variational Analysis (45 papers), Advanced Optimization Algorithms Research (41 papers) and Fixed Point Theorems Analysis (13 papers). Soon‐Yi Wu collaborates with scholars based in Taiwan, China and United States. Soon‐Yi Wu's co-authors include Jen‐Chih Yao, Liqun Qi, Yunhai Xiao, Guanglu Zhou, Shu‐Cherng Fang, Jian-Wen Peng, Zili Wu, Shu-Cherng Fang, Hong Zhu and Marco A. López and has published in prestigious journals such as Automatica, European Journal of Operational Research and Journal of Mathematical Analysis and Applications.

In The Last Decade

Soon‐Yi Wu

68 papers receiving 776 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soon‐Yi Wu Taiwan 18 608 458 183 140 129 69 847
Robert Mifflin United States 14 888 1.5× 914 2.0× 365 2.0× 133 0.9× 35 0.3× 28 1.2k
A. F. Izmailov Russia 21 1.0k 1.7× 1.1k 2.3× 164 0.9× 261 1.9× 89 0.7× 114 1.3k
Nguyen Mau Nam United States 18 682 1.1× 513 1.1× 118 0.6× 116 0.8× 218 1.7× 54 820
E. S. Levitin Germany 6 432 0.7× 388 0.8× 186 1.0× 93 0.7× 41 0.3× 8 685
N. Karcanias United Kingdom 18 577 0.9× 227 0.5× 32 0.2× 790 5.6× 73 0.6× 101 1.3k
Bahman Kalantari United States 19 437 0.7× 583 1.3× 173 0.9× 45 0.3× 103 0.8× 74 982
Luis M. Briceño-Arias Chile 13 338 0.6× 244 0.5× 253 1.4× 71 0.5× 27 0.2× 34 637
Regina S. Burachik Australia 21 1.2k 2.0× 954 2.1× 291 1.6× 160 1.1× 286 2.2× 67 1.4k
Gábor Pataki United States 11 216 0.4× 232 0.5× 151 0.8× 43 0.3× 34 0.3× 19 515
Yu. G. Evtushenko Russia 13 234 0.4× 284 0.6× 69 0.4× 119 0.8× 10 0.1× 74 538

Countries citing papers authored by Soon‐Yi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Soon‐Yi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon‐Yi Wu. 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 Soon‐Yi Wu. The network helps show where Soon‐Yi Wu may publish in the future.

Co-authorship network of co-authors of Soon‐Yi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Soon‐Yi Wu. A scholar is included among the top collaborators of Soon‐Yi Wu 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 Soon‐Yi Wu. Soon‐Yi Wu 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.
Zhu, Hong, Yunhai Xiao, & Soon‐Yi Wu. (2013). Large sparse signal recovery by conjugate gradient algorithm based on smoothing technique. Computers & Mathematics with Applications. 66(1). 24–32. 21 indexed citations
2.
Peng, Jian-Wen, Yan Wang, & Soon‐Yi Wu. (2012). LEVITIN-POLYAK WELL-POSEDNESS FOR VECTOR QUASI-EQUILIBRIUM PROBLEMS WITH FUNCTIONAL CONSTRAINTS. Taiwanese Journal of Mathematics. 16(2). 635–649. 2 indexed citations
3.
Peng, Jian-Wen, et al.. (2011). LEVITIN-POLYAK WELL-POSEDNESS OF GENERALIZED VECTOR EQUILIBRIUM PROBLEMS. Taiwanese Journal of Mathematics. 15(5). 2311–2330. 5 indexed citations
4.
Zhang, Liping & Soon‐Yi Wu. (2010). Robust solutions to Euclidean facility location problems withuncertain data. Journal of Industrial and Management Optimization. 6(4). 751–760. 4 indexed citations
5.
Zhang, Liping & Soon‐Yi Wu. (2009). An algorithm based on the generalized D-gap function for equilibrium problems. Journal of Computational and Applied Mathematics. 231(1). 403–411. 13 indexed citations
6.
Ito, Satoshi, et al.. (2009). A numerical approach to infinite-dimensional linear programming in $L_1$ spaces. Journal of Industrial and Management Optimization. 6(1). 15–28. 4 indexed citations
7.
Zhou, Jinchuan, Changyu Wang, Naihua Xiu, & Soon‐Yi Wu. (2009). First-order optimality conditions for convex semi-infinite min-max programming with noncompact sets. Journal of Industrial and Management Optimization. 5(4). 851–866. 1 indexed citations
8.
Fang, Shu‐Cherng, David Yang Gao, Ruey-Lin Sheu, & Soon‐Yi Wu. (2008). Canonical dual approach to solving 0-1 quadratic programming problems. Journal of Industrial and Management Optimization. 4(1). 125–142. 41 indexed citations
9.
Kimura, Kenji, Yeong‐Cheng Liou, Soon‐Yi Wu, & Jen‐Chih Yao. (2008). Well-posedness for parametric vector equilibrium problems with applications. Journal of Industrial and Management Optimization. 4(2). 313–327. 38 indexed citations
10.
Wu, Soon‐Yi, et al.. (2007). Algorithms for infinite quadratic programming in Lp spaces. Journal of Computational and Applied Mathematics. 213(2). 408–422. 1 indexed citations
11.
López, Marco A., Liqun Qi, & Soon‐Yi Wu. (2007). Preface. Journal of Computational and Applied Mathematics. 217(2). 299–300. 1 indexed citations
12.
Wu, Soon‐Yi, et al.. (2007). An algorithm for semi-infinite transportation problems. Journal of Computational and Applied Mathematics. 217(2). 365–380. 1 indexed citations
13.
Wu, Soon‐Yi, et al.. (2006). GENERALIZED KKM THEOREM WITH APPLICATIONS TO GENERALIZED MINIMAX INEQUALITIES AND GENERALIZED EQUILIBRIUM PROBLEMS. Taiwanese Journal of Mathematics. 10(6). 1497–1514. 50 indexed citations
14.
Zeng, Lu-Chuan, Qamrul Hasan Ansari, & Soon‐Yi Wu. (2006). STRONG CONVERGENCE THEOREMS OF RELAXED HYBRID STEEPEST-DESCENT METHODS FOR VARIATIONAL INEQUALITIES. Taiwanese Journal of Mathematics. 10(1). 13–29. 7 indexed citations
15.
Fang, Shu‐Cherng, Chih‐Jen Lin, & Soon‐Yi Wu. (2001). Solving quadratic semi-infinite programming problems by using relaxed cutting-plane scheme. Journal of Computational and Applied Mathematics. 129(1-2). 89–104. 17 indexed citations
16.
Wu, Soon‐Yi & Shu-Cherng Fang. (1999). Solving convex programs with infinitely many linear constraints by a relaxed cutting plane method. Computers & Mathematics with Applications. 38(3-4). 23–33. 14 indexed citations
17.
Wu, Soon‐Yi, et al.. (1997). The Difference between Finite Dimensional Linear Programming Problems and Infinite Dimensional Linear Programming Problems. Journal of Mathematical Analysis and Applications. 207(1). 192–205.
18.
Fang, Shu-Cherng & Soon‐Yi Wu. (1996). Solving min-max problems and linear semi-infinite programs. Computers & Mathematics with Applications. 32(6). 87–93. 21 indexed citations
19.
Lin, Chih‐Jen, Shu‐Cherng Fang, & Soon‐Yi Wu. (1996). Parametric linear semi-infinite programming. Applied Mathematics Letters. 9(3). 89–96. 1 indexed citations
20.
Lin, Chih‐Jen, Eugene Yang, Shu-Cherng Fang, & Soon‐Yi Wu. (1995). Implementation of an inexact approach to solving linear semi-infinite programming problems. Journal of Computational and Applied Mathematics. 61(1). 87–103. 5 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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