Feng Ma
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Advanced Optimization Algorithms Research 14
-
- Sparse and Compressive Sensing Techniques 18
- Co-authors
- Xiaoming Yuan (6 shared papers)Bingsheng He (5 shared papers)Mingfang Ni (11 shared papers)Xinrong Wu (2 shared papers)Shengjie Xu (2 shared papers)Qian Chen (1 shared paper)Bo Wang (1 shared paper)Yi Lv (1 shared paper)
- Journals
- Numerical Algorithms (5 papers)Computational Optimization and Applications (3 papers)SIAM Journal on Imaging Sciences (2 papers)Mathematics of Computation (1 paper)Journal of Mathematical Imaging and Vision (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Feng Ma
27 papers receiving 338 citations
Peers
Comparison fields: 5 of 53
- Numerical Analysis 145
- Computational Mechanics 206
- Computational Theory and Mathematics 119
- Computational Mathematics 4
- Mathematical Physics 57
Countries citing papers authored by Feng Ma
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
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.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 80 | |
| 2 | 2019 | 45 | |
| 3 | 2011 | 44 | |
| 4 | 2018 | 28 | |
| 5 | 2017 | 26 | |
| 6 | 2015 | 23 | |
| 7 | 2017 | 23 | |
| 8 | 2022 | 18 | |
| 9 | 2016 | 18 | |
| 10 | 2015 | 8 | |
| 11 | 2014 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2013 | 4 | |
| 14 | 2015 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2015 | 2 | |
| 20 | 2024 | 2 |
About Feng Ma
Feng Ma is a scholar working on Numerical Analysis, Computational Mechanics, Mathematical Physics, Computational Theory and Mathematics and Modeling and Simulation, having authored 28 papers that have together received 358 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), Fractional Differential Equations Solutions (2 papers) and Military Strategy and Technology (2 papers). The work is most often cited by research in Numerical Analysis (145 citations), Computational Mechanics (206 citations), Computational Theory and Mathematics (119 citations), Computational Mathematics (4 citations) and Mathematical Physics (57 citations). Feng Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaoming Yuan, Bingsheng He, Mingfang Ni, Xinrong Wu, Shengjie Xu, Qian Chen, Bo Wang, Yi Lv, Zhengwen Liu and Rui Gao. Their work appears in journals such as Numerical Algorithms, Computational Optimization and Applications, SIAM Journal on Imaging Sciences, Mathematics of Computation and Journal of Mathematical Imaging and Vision.
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.