Cong Ma

2.9k citations
61 papers · 1.2k · h-index 16

Impact in

Papers in

Cong Ma

55 papers receiving 1.2k citations

Peers

Cong Ma
Comparison fields: 5 of 134
  • Computational Mathematics 29
  • Biomaterials 289
  • Building and Construction 167
  • Computational Mechanics 219
  • Civil and Structural Engineering 197
Replace Yue Rong with:
Yue Rong Australia
Weidong Zhang China
Tao Jiang China
Feng Gao China
Can Wang China
Yanbo Zhang China
Fucheng Guo China
Jeong Kim South Korea
Alireza Ghasemi Iran
Cong Ma relative to Yue Rong Australia Yue Rong's profile →
Citations per field
00.5×10×15×18.6×
Yue Rong · 1×
Citations per year

Countries citing papers authored by Cong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Cong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cong 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 Cong Ma Line = papers co-authored together Cong Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010325
2 2019192
3 201998
4 202071
5 202160
6 201956
7 201945
8 202045
9 202330
10 202128
11 202127
12 202225
13
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion
201823
14 202123
15 201519
16 202019
17 202115
18 201513
19 20248
20 20228

About Cong Ma

Cong Ma is a scholar working on Computational Mechanics, Biomedical Engineering, Surgery, Molecular Biology and Artificial Intelligence, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (14 papers), Knee injuries and reconstruction techniques (4 papers), Numerical methods in inverse problems (4 papers), Microwave Imaging and Scattering Analysis (4 papers), Concrete and Cement Materials Research (4 papers), Conducting polymers and applications (3 papers), Fluid Dynamics and Heat Transfer (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Computational Mathematics (29 citations), Biomaterials (289 citations), Building and Construction (167 citations), Computational Mechanics (219 citations) and Civil and Structural Engineering (197 citations). Cong Ma has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Yuxin Chen, Yuejie Chi, Yufeng Zheng, L. Li, Wei Zheng, Zhaoxu Meng, Jianqing Fan, John L. Zhou, Guangcheng Long and Zhiyang Chang. Their work appears in journals such as Osteoarthritis and Cartilage, European Urology, IEEE Transactions on Information Theory, Ocean Engineering and Journal of the American Statistical Association.

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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