Ling Ma
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- Geothermal Energy Systems and Applications 7
- Biophysics top 5%
- Signal Processing top 5%
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- Optical Imaging and Spectroscopy Techniques 13
- Radiomics and Machine Learning in Medical Imaging 7
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- Medical Image Segmentation Techniques 9
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- AI in cancer detection 11
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- Optical Coherence Tomography Applications 9
- Photoacoustic and Ultrasonic Imaging 9
- Optical Polarization and Ellipsometry 8
Ling Ma
116 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 159
- Renewable Energy, Sustainability and the Environment 386
- Biophysics 87
- Signal Processing 156
- Radiology, Nuclear Medicine and Imaging 312
- Computer Vision and Pattern Recognition 273
Countries citing papers authored by Ling Ma
This map shows the geographic impact of Ling 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 Ling Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Ma more than expected).
Fields of papers citing papers by Ling Ma
This network shows the impact of papers produced by Ling 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 Ling Ma. The network helps show where Ling Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ling 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2018 | 10 | |
| 15 | 2018 | 7 | |
| 16 | 2017 | 52 | |
| 17 | 2016 | 2 | |
| 18 | 2014 | 15 | |
| 19 | Improvement on Synthesis Process and Properties of 3,3'-Diamino-4,4'-azofurazan | 2013 | 1 |
| 20 | 2010 | 11 |
About Ling Ma
Ling Ma is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 125 papers that have together received 2.1k indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (13 papers), AI in cancer detection (11 papers), Optical Coherence Tomography Applications (9 papers), Medical Image Segmentation Techniques (9 papers), Photoacoustic and Ultrasonic Imaging (9 papers), Optical Polarization and Ellipsometry (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Geothermal Energy Systems and Applications (7 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (386 citations), Biophysics (87 citations) and Signal Processing (156 citations). Ling Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Baowei Fei, Jun Zhao, Dan Smith, Mohamed E. Zayed, Ben Milner, Ammar H. Elsheikh, Yanping Du, Farid A. Hammad, A.E. Kabeel and Fajie Duan. Their work appears in journals such as Journal of Biomedical Optics, Measurement, Journal of Applied Physics, Applied Optics and Applied Thermal Engineering.
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.