Feng Ma

535 citations
29 papers · 345 · h-index 9

Impact in

Papers in

Feng Ma

28 papers receiving 323 citations

Peers

Feng Ma
Comparison fields: 5 of 52
  • Numerical Analysis 141
  • Computational Mechanics 197
  • Computational Theory and Mathematics 116
  • Computational Mathematics 4
  • Mathematical Physics 58
Replace Damek Davis with:
Damek Davis United States
Andreas Themelis Belgium
Caixia Kou China
Ch. Dossal France
Chunming Tang China
Andrew Sommese United States
Zhongming Wu China
Mert Pilancı United States
Aleksandr Moiseevich Rubinov Hong Kong
Liuqin Yang Singapore
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Citations per field
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Damek Davis · 1×
Citations per year

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-authors

The 19 scholars most cited alongside Feng Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Feng Ma Line = papers co-authored together Feng Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201681
2 201941
3 201140
4 201826
5 201726
6 201724
7 201522
8 201617
9 202216
10 20157
11 20146
12 20195
13 20134
14 20154
15 20253
16 20193
17 20173
18 20232
19 20232
20 20152

About Feng Ma

Feng Ma is a scholar working on Computational Mechanics, Numerical Analysis, Computational Theory and Mathematics, Mathematical Physics and Aerospace Engineering, having authored 29 papers that have together received 345 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (18 papers), Advanced Optimization Algorithms Research (14 papers), Numerical methods in inverse problems (6 papers), Optimization and Variational Analysis (5 papers), Guidance and Control Systems (3 papers), Military Defense Systems Analysis (3 papers), Microwave Imaging and Scattering Analysis (2 papers) and Fractional Differential Equations Solutions (2 papers). The work is most often cited by research in Numerical Analysis (141 citations), Computational Mechanics (197 citations), Computational Theory and Mathematics (116 citations), Computational Mathematics (4 citations) and Mathematical Physics (58 citations). Feng Ma has collaborated with scholars based in China, Hong Kong and Bangladesh. Frequent co-authors include Xiaoming Yuan, Bingsheng He, Mingfang Ni, Xinrong Wu, Shengjie Xu, Qian Chen, Xinglong Zheng, Yi Lv, Bo Wang and Junxi Xiang. Their work appears in journals such as Numerical Algorithms, Computational Optimization and Applications, SIAM Journal on Imaging Sciences, Journal of Optimization Theory and Applications and IMA Journal of Numerical Analysis.

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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