Chen Ma
Impact in
- Media Technology top 10%
- Smart Cities and Technologies
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- Face recognition and analysis
- Face and Expression Recognition
Papers in
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- Image Enhancement Techniques 3
- Advanced Neural Network Applications 2
- Co-authors
- Jun‐Hai Yong (2 shared papers)Li Chen (1 shared paper)Zhengxing Sun (3 shared papers)Zhanbo Sun (2 shared papers)Liqun Wang (2 shared papers)Zhuang Li (1 shared paper)Gege He (2 shared papers)Yi‐Ming Wei (1 shared paper)
In The Last Decade
Chen Ma
27 papers receiving 268 citations
Peers
Comparison fields: 5 of 89
- Media Technology 35
- Computer Vision and Pattern Recognition 77
- Experimental and Cognitive Psychology 40
- Transportation 18
- Signal Processing 26
Countries citing papers authored by Chen Ma
This map shows the geographic impact of Chen 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 Chen Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Ma more than expected).
Fields of papers citing papers by Chen Ma
This network shows the impact of papers produced by Chen 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 Chen Ma. The network helps show where Chen Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 92 | |
| 2 | 2019 | 64 | |
| 3 | 2021 | 41 | |
| 4 | 2015 | 14 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 8 | |
| 7 | 2020 | 8 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2011 | 2 | |
| 20 | 2023 | 1 |
About Chen Ma
Chen Ma is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering, Ocean Engineering and Artificial Intelligence, having authored 32 papers that have together received 278 indexed citations. Recurring topics across this work include Image Enhancement Techniques (3 papers), Advanced Neural Network Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers), Land Use and Ecosystem Services (2 papers), Drilling and Well Engineering (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Advanced Nanomaterials in Catalysis (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Media Technology (35 citations), Computer Vision and Pattern Recognition (77 citations), Experimental and Cognitive Psychology (40 citations), Transportation (18 citations) and Signal Processing (26 citations). Chen Ma has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Jun‐Hai Yong, Li Chen, Li Chen, Zhengxing Sun, Zhanbo Sun, Liqun Wang, Zhuang Li, Gege He, Yi‐Ming Wei and Hongwei Wang. Their work appears in journals such as Multimedia Tools and Applications, Scientific Reports, The Visual Computer, IEEE Transactions on Mobile Computing and Emerging Markets Finance and Trade.
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.