Changfeng Ma

2.5k total citations
192 papers, 2.0k citations indexed

About

Changfeng Ma is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Changfeng Ma has authored 192 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Computational Theory and Mathematics, 135 papers in Numerical Analysis and 50 papers in Computational Mechanics. Recurrent topics in Changfeng Ma's work include Matrix Theory and Algorithms (142 papers), Advanced Optimization Algorithms Research (114 papers) and Iterative Methods for Nonlinear Equations (50 papers). Changfeng Ma is often cited by papers focused on Matrix Theory and Algorithms (142 papers), Advanced Optimization Algorithms Research (114 papers) and Iterative Methods for Nonlinear Equations (50 papers). Changfeng Ma collaborates with scholars based in China, Hong Kong and Singapore. Changfeng Ma's co-authors include Na Huang, Yajun Xie, Huilin Lai, Yifen Ke, Xiaohong Chen, Jia Tang, Baohua Huang, Chengliang Li, Pu‐yan Nie and Huai Zhang and has published in prestigious journals such as Journal of the Franklin Institute, Physica A Statistical Mechanics and its Applications and Applied Mathematics and Computation.

In The Last Decade

Changfeng Ma

179 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changfeng Ma China 24 1.4k 1.1k 550 317 229 192 2.0k
Linzhang Lu China 17 793 0.6× 494 0.4× 289 0.5× 303 1.0× 77 0.3× 98 1.1k
K. Jbilou France 19 783 0.6× 510 0.5× 296 0.5× 287 0.9× 62 0.3× 68 1.2k
Masoud Hajarian Iran 29 2.2k 1.6× 1.6k 1.5× 316 0.6× 288 0.9× 882 3.9× 149 2.8k
Bing Zheng China 18 582 0.4× 324 0.3× 250 0.5× 212 0.7× 116 0.5× 106 978
H. Sadok France 21 929 0.7× 620 0.6× 323 0.6× 412 1.3× 42 0.2× 67 1.3k
Jiawang Nie United States 27 1.4k 1.0× 1.2k 1.1× 358 0.7× 36 0.1× 244 1.1× 83 2.0k
Musheng Wei China 21 1.1k 0.7× 381 0.3× 163 0.3× 204 0.6× 173 0.8× 90 1.4k
M. Gasca Spain 16 860 0.6× 377 0.3× 522 0.9× 91 0.3× 54 0.2× 45 1.5k
Chen Greif Canada 20 603 0.4× 308 0.3× 750 1.4× 317 1.0× 58 0.3× 55 1.4k

Countries citing papers authored by Changfeng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Changfeng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changfeng Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Changfeng Ma. A scholar is included among the top collaborators of Changfeng 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 Changfeng Ma. Changfeng 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.
Li, Chengliang, Jianguo Zhu, & Changfeng Ma. (2025). A free-parameter alternating triangular splitting iteration method for time-harmonic parabolic problems. Applied Mathematics Letters. 163. 109429–109429. 2 indexed citations
2.
Ke, Yifen, et al.. (2023). Efficient iterative method for generalized Sylvester quaternion tensor equation. Computational and Applied Mathematics. 42(5). 5 indexed citations
3.
Li, Shihai & Changfeng Ma. (2023). An improved gradient neural network for solving periodic Sylvester matrix equations. Journal of the Franklin Institute. 360(6). 4056–4070. 6 indexed citations
4.
Li, Shihai & Changfeng Ma. (2023). A novel predefined-time noise-tolerant zeroing neural network for solving time-varying generalized linear matrix equations. Journal of the Franklin Institute. 360(16). 11788–11808. 4 indexed citations
5.
Ma, Changfeng, et al.. (2022). A finite iterative algorithm for the general discrete-time periodic Sylvester matrix equations. Journal of the Franklin Institute. 359(9). 4410–4432. 7 indexed citations
6.
Li, Chengliang & Changfeng Ma. (2020). The inexact Euler-extrapolated block preconditioners for a class of complex linear systems. Applied Mathematics Letters. 104. 106229–106229. 3 indexed citations
7.
Xie, Yajun, et al.. (2019). Krylov subspace methods to solve a class of tensor equations via the Einstein product. Numerical Linear Algebra with Applications. 26(4). 23 indexed citations
8.
Li, Chengliang & Changfeng Ma. (2019). On Euler preconditioned SHSS iterative method for a class of complex symmetric linear systems. ESAIM Mathematical Modelling and Numerical Analysis. 53(5). 1607–1627. 6 indexed citations
9.
Li, Chengliang & Changfeng Ma. (2018). On semi-convergence of parameterized SHSS method for a class of singular complex symmetric linear systems. Computers & Mathematics with Applications. 77(2). 466–475. 4 indexed citations
10.
Ma, Changfeng, et al.. (2018). A generalized shift-splitting preconditioner for complex symmetric linear systems. Journal of Computational and Applied Mathematics. 344. 691–700. 5 indexed citations
11.
Tang, Jia & Changfeng Ma. (2017). Generalized conjugate direction method for solving a class of generalized coupled Sylvester-conjugate transpose matrix equations over generalized Hamiltonian matrices. Computers & Mathematics with Applications. 74(12). 3303–3317. 1 indexed citations
12.
Li, Chengliang & Changfeng Ma. (2017). The Uzawa-PPS iteration methods for nonsingular and singular non-Hermitian saddle point problems. Computers & Mathematics with Applications. 75(2). 703–720. 4 indexed citations
13.
Ke, Yifen & Changfeng Ma. (2016). A note on “A dimensional split preconditioner for Stokes and linearized Navier–Stokes equations”. Applied Numerical Mathematics. 108. 223–225. 2 indexed citations
14.
Ma, Changfeng, et al.. (2015). Preconditioned AHSS-PU alternating splitting iterative methods for saddle point problems. Applied Mathematics and Computation. 273. 217–225. 4 indexed citations
15.
Ma, Changfeng, et al.. (2015). A class of triangular splitting methods for saddle point problems. Journal of Computational and Applied Mathematics. 298. 13–23. 14 indexed citations
16.
Huang, Na & Changfeng Ma. (2015). The nonlinear inexact Uzawa hybrid algorithms based on one-step Newton method for solving nonlinear saddle-point problems. Applied Mathematics and Computation. 270. 291–311. 4 indexed citations
17.
Huang, Na & Changfeng Ma. (2015). Modified conjugate gradient method for obtaining the minimum-norm solution of the generalized coupled Sylvester-conjugate matrix equations. Applied Mathematical Modelling. 40(2). 1260–1275. 27 indexed citations
18.
Ke, Yifen & Changfeng Ma. (2014). A preconditioned nested splitting conjugate gradient iterative method for the large sparse generalized Sylvester equation. Computers & Mathematics with Applications. 68(10). 1409–1420. 19 indexed citations
19.
Ma, Changfeng, et al.. (2014). A New Exceptional Family of Elements and Solvability of General Order Complementarity Problems. The Scientific World JOURNAL. 2014. 1–6.
20.
Ma, Changfeng, et al.. (2014). The modified conjugate gradient methods for solving a class of generalized coupled Sylvester-transpose matrix equations. Computers & Mathematics with Applications. 67(8). 1545–1558. 31 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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