Fenghui Wang

1.7k total citations · 1 hit paper
53 papers, 1.3k citations indexed

About

Fenghui Wang is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Geometry and Topology. According to data from OpenAlex, Fenghui Wang has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computational Theory and Mathematics, 30 papers in Numerical Analysis and 24 papers in Geometry and Topology. Recurrent topics in Fenghui Wang's work include Optimization and Variational Analysis (49 papers), Advanced Optimization Algorithms Research (30 papers) and Fixed Point Theorems Analysis (24 papers). Fenghui Wang is often cited by papers focused on Optimization and Variational Analysis (49 papers), Advanced Optimization Algorithms Research (30 papers) and Fixed Point Theorems Analysis (24 papers). Fenghui Wang collaborates with scholars based in China, Taiwan and Saudi Arabia. Fenghui Wang's co-authors include Hong‐Kun Xu, Victoria Martín-Márquez, Genaro López-Acedo, Zongben Xu, Wenfei Cao, Hai Yu, Yamin Wang, Haiying Li, Hongwei Jiao and Qiao‐Li Dong and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Nonlinear Analysis and Proceedings of the American Mathematical Society.

In The Last Decade

Fenghui Wang

51 papers receiving 1.2k citations

Hit Papers

Solving the split feasibility problem without prior knowl... 2012 2026 2016 2021 2012 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fenghui Wang China 17 1.1k 812 584 263 247 53 1.3k
Felipe Álvarez Chile 12 1.1k 1.0× 755 0.9× 244 0.4× 382 1.5× 387 1.6× 28 1.4k
Nguyen Mau Nam United States 18 682 0.6× 513 0.6× 218 0.4× 95 0.4× 118 0.5× 54 820
Paul-Émile Maingé Guadeloupe 16 1.8k 1.6× 1.3k 1.6× 810 1.4× 337 1.3× 257 1.0× 35 1.8k
Genaro López-Acedo Spain 22 1.6k 1.4× 1.0k 1.2× 1.0k 1.7× 337 1.3× 194 0.8× 47 1.9k
Ernö Robert Csetnek Austria 14 793 0.7× 561 0.7× 181 0.3× 265 1.0× 355 1.4× 39 914
Alberto Seeger France 20 993 0.9× 732 0.9× 329 0.6× 105 0.4× 158 0.6× 115 1.3k
Hideaki Iiduka Japan 19 1.3k 1.1× 1.1k 1.3× 525 0.9× 98 0.4× 176 0.7× 54 1.4k
Yekini Shehu China 30 2.7k 2.4× 2.0k 2.4× 1.0k 1.8× 493 1.9× 346 1.4× 218 2.8k
Paulo Roberto Oliveira Brazil 18 788 0.7× 671 0.8× 235 0.4× 96 0.4× 258 1.0× 49 991
Phan Tu Vuong Vietnam 18 870 0.8× 719 0.9× 208 0.4× 136 0.5× 153 0.6× 45 1.0k

Countries citing papers authored by Fenghui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fenghui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fenghui Wang. 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 Fenghui Wang. The network helps show where Fenghui Wang may publish in the future.

Co-authorship network of co-authors of Fenghui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fenghui Wang. A scholar is included among the top collaborators of Fenghui Wang 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 Fenghui Wang. Fenghui Wang 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.
Wang, Fenghui & Hai Yu. (2025). An Adaptive and Expanded Framework For Multiple-Operator Split Common Fixed Point Problems. Journal of Optimization Theory and Applications. 207(1).
2.
Li, Haiying, et al.. (2024). Projection and contraction method with double inertial steps for quasi-monotone variational inequalities. Optimization. 74(7). 1643–1674. 5 indexed citations
3.
Tan, Bing, et al.. (2022). Inertial iterative method for solving variational inequality problems of pseudo-monotone operators and fixed point problems of nonexpansive mappings in Hilbert spaces. Journal of Industrial and Management Optimization. 19(4). 2655–2675. 2 indexed citations
4.
Zhao, Jing, Qiao‐Li Dong, Michael Th. Rassias, & Fenghui Wang. (2022). Two-step inertial Bregman alternating minimization algorithm for nonconvex and nonsmooth problems. Journal of Global Optimization. 84(4). 941–966. 6 indexed citations
5.
Yu, Hai & Fenghui Wang. (2020). Alternating iterative algorithms for the split equality problem without prior knowledge of operator norms. Journal of Inequalities and Applications. 2020(1). 3 indexed citations
6.
Wang, Fenghui & Hai Yu. (2020). An inertial relaxed CQ algorithm with an application to the LASSO and elastic net. Optimization. 70(5-6). 1101–1119. 8 indexed citations
7.
Wang, Fenghui, et al.. (2019). On a new algorithm for solving variational inequality and fixed point problems. Journal of Nonlinear and Variational Analysis. 3(2). 4 indexed citations
8.
Yu, Hai & Fenghui Wang. (2018). Relaxed alternating CQ algorithms for the split equality problem in Hilbert spaces. Journal of Inequalities and Applications. 2018(1). 335–335. 1 indexed citations
9.
Ceng, Lu-Chuan, et al.. (2018). Weak Convergence Theorems on the Split Common Fixed Point Problem for Demicontractive Continuous Mappings. Journal of Function Spaces. 2018. 1–7. 5 indexed citations
10.
Wang, Fenghui. (2017). A new iterative method for the split common fixed point problem in Hilbert spaces. Optimization. 66(3). 407–415. 35 indexed citations
11.
Wang, Fenghui. (2016). On the convergence of CQ algorithm with variable steps for the split equality problem. Numerical Algorithms. 74(3). 927–935. 24 indexed citations
12.
Wang, Fenghui, et al.. (2015). Error Sensitivity for Strongly Convergent Modifications of the Proximal Point Algorithm. Journal of Optimization Theory and Applications. 168(3). 901–916. 9 indexed citations
13.
Wang, Fenghui. (2013). A New Algorithm for Solving The Multiple-Sets Split Feasibility Problem in Banach Spaces. Numerical Functional Analysis and Optimization. 35(1). 99–110. 37 indexed citations
14.
Wang, Fenghui & Hong‐Kun Xu. (2012). WEAK AND STRONG CONVERGENCE THEOREMS FOR VARIATIONAL INEQUALITY AND FIXED POINT PROBLEMS WITH TSENG’S EXTRAGRADIENT METHOD. Taiwanese Journal of Mathematics. 16(3). 1125–1136. 13 indexed citations
15.
López-Acedo, Genaro, Victoria Martín-Márquez, Fenghui Wang, & Hong‐Kun Xu. (2012). Solving the split feasibility problem without prior knowledge of matrix norms. Inverse Problems. 28(8). 85004–85004. 275 indexed citations breakdown →
16.
Wang, Fenghui. (2011). The Six Common Distributions in Probability Theory. 1 indexed citations
17.
Wang, Fenghui, et al.. (2011). Choices of variable steps of the CQ algorithm for the split feasibility problem. Fixed Point Theory. 12(2). 489–496. 7 indexed citations
18.
Wang, Fenghui. (2009). On the James and von Neumann-Jordan constants in Banach spaces. Proceedings of the American Mathematical Society. 138(2). 695–701. 11 indexed citations
19.
Wang, Fenghui, et al.. (2008). Some inequalities concerning the James constant in Banach spaces. Journal of Mathematical Analysis and Applications. 353(1). 305–310. 9 indexed citations
20.
Wang, Fenghui, et al.. (2006). On a new geometric constant related to the von Neumann–Jordan constant. Journal of Mathematical Analysis and Applications. 324(1). 555–565. 34 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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