Feng Ma

509 total citations
29 papers, 339 citations indexed

About

Feng Ma is a scholar working on Computational Mechanics, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Feng Ma has authored 29 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mechanics, 14 papers in Numerical Analysis and 7 papers in Computational Theory and Mathematics. Recurrent topics in Feng Ma's work include Sparse and Compressive Sensing Techniques (18 papers), Advanced Optimization Algorithms Research (14 papers) and Numerical methods in inverse problems (6 papers). Feng Ma is often cited by papers focused on Sparse and Compressive Sensing Techniques (18 papers), Advanced Optimization Algorithms Research (14 papers) and Numerical methods in inverse problems (6 papers). Feng Ma collaborates with scholars based in China, Hong Kong and Canada. Feng Ma's co-authors include Xiaoming Yuan, Bingsheng He, Mingfang Ni, Xinrong Wu, Shengjie Xu, Rui Gao, Junxi Xiang, Xinglong Zheng, Qian Chen and Zhengwen Liu and has published in prestigious journals such as Mathematics of Computation, Signal Processing and Journal of Optimization Theory and Applications.

In The Last Decade

Feng Ma

28 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Ma China 9 195 140 115 58 50 29 339
Damek Davis United States 8 202 1.0× 176 1.3× 197 1.7× 89 1.5× 42 0.8× 32 406
Andreas Themelis Japan 8 138 0.7× 131 0.9× 77 0.7× 32 0.6× 18 0.4× 21 270
Qingjie Hu China 12 221 1.1× 306 2.2× 212 1.8× 75 1.3× 13 0.3× 43 467
Caixia Kou China 8 137 0.7× 243 1.7× 116 1.0× 19 0.3× 6 0.1× 11 472
Ch. Dossal France 5 218 1.1× 118 0.8× 153 1.3× 125 2.2× 8 0.2× 8 341
Mert Pilancı United States 9 188 1.0× 49 0.3× 48 0.4× 12 0.2× 13 0.3× 47 368
Chunming Tang China 11 174 0.9× 335 2.4× 235 2.0× 20 0.3× 9 0.2× 43 423
Andrew Sommese United States 5 93 0.5× 71 0.5× 178 1.5× 37 0.6× 8 0.2× 9 315
Pengjie Liu China 13 219 1.1× 232 1.7× 96 0.8× 38 0.7× 8 0.2× 33 344
Yasushi Narushima Japan 12 221 1.1× 429 3.1× 216 1.9× 51 0.9× 6 0.1× 26 528

Countries citing papers authored by Feng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ma. A scholar is included among the top collaborators of Feng Ma 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 Feng Ma. Feng Ma 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.
Ma, Feng, et al.. (2025). A symmetric version of the generalized Chambolle-Pock-He-Yuan method for saddle point problems. Computational Optimization and Applications. 91(1). 1–26. 2 indexed citations
2.
Ma, Feng, et al.. (2024). Learning feature-weighted regularization discriminative correlation filters for real-time UAV tracking. Signal Processing. 228. 109765–109765. 1 indexed citations
3.
Ma, Shan, et al.. (2024). Preconditioned golden ratio primal-dual algorithm with linesearch. Numerical Algorithms. 98(3). 1281–1311. 2 indexed citations
5.
Ma, Feng. (2023). A revisit of Chen-Teboulle's proximal-based decomposition method. Journal of Industrial and Management Optimization. 20(3). 994–1010. 1 indexed citations
6.
He, Bingsheng, Feng Ma, Shengjie Xu, & Xiaoming Yuan. (2022). A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems. SIAM Journal on Imaging Sciences. 15(3). 1157–1183. 16 indexed citations
7.
Ma, Feng. (2019). Convergence study on the proximal alternating direction method with larger step size. Numerical Algorithms. 85(2). 399–425. 5 indexed citations
8.
Ma, Feng. (2019). On relaxation of some customized proximal point algorithms for convex minimization: from variational inequality perspective. Computational Optimization and Applications. 73(3). 871–901. 3 indexed citations
9.
He, Bingsheng, Feng Ma, & Xiaoming Yuan. (2018). Optimal proximal augmented Lagrangian method and its application to full Jacobian splitting for multi-block separable convex minimization problems. IMA Journal of Numerical Analysis. 40(2). 1188–1216. 25 indexed citations
10.
Ma, Feng, et al.. (2018). A prediction–correction-based primal–dual hybrid gradient method for linearly constrained convex minimization. Numerical Algorithms. 82(2). 641–662. 2 indexed citations
11.
Ma, Feng, et al.. (2017). Symmetric Alternating Direction Method with Indefinite Proximal Regularization for Linearly Constrained Convex Optimization. Journal of Optimization Theory and Applications. 176(1). 178–204. 23 indexed citations
12.
He, Bingsheng, Feng Ma, & Xiaoming Yuan. (2017). An Algorithmic Framework of Generalized Primal–Dual Hybrid Gradient Methods for Saddle Point Problems. Journal of Mathematical Imaging and Vision. 58(2). 279–293. 26 indexed citations
13.
Ma, Feng & Mingfang Ni. (2016). A class of customized proximal point algorithms for linearly constrained convex optimization. Computational and Applied Mathematics. 37(2). 896–911. 17 indexed citations
14.
Gao, Rui, Junxi Xiang, Yi Lv, et al.. (2015). Hepatocyte Culture in Autologous Decellularized Spleen Matrix. Organogenesis. 11(1). 16–29. 22 indexed citations
15.
Ma, Feng, et al.. (2015). An optimal assignment of multi-type weapons to single-target. 7. 44–47. 2 indexed citations
16.
Ma, Feng, et al.. (2015). An efficient algorithm for the weapon target assignment problem. 6. 2093–2097. 7 indexed citations
17.
Ma, Feng, et al.. (2014). Sensitivity Analysis of the Proximal‐Based Parallel Decomposition Methods. Mathematical Problems in Engineering. 2014(1). 1 indexed citations
18.
Ma, Feng, et al.. (2014). An Implementable First-Order Primal-Dual Algorithm for Structured Convex Optimization. Abstract and Applied Analysis. 2014. 1–9. 6 indexed citations
19.
Ma, Feng, et al.. (2013). An Efficient Approximate Algorithm for Disjoint QoS Routing. Mathematical Problems in Engineering. 2013. 1–9. 4 indexed citations
20.
Ma, Feng & Mingfang Ni. (2013). A two-phase method for multidimensional number partitioning problem. Numerical Algebra Control and Optimization. 3(2). 203–206. 1 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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