Pingli Ma
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Cell Image Analysis Techniques 7
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- Image Processing Techniques and Applications 6
- Co-authors
- Chen Li (9 shared papers)Marcin Grzegorzek (8 shared papers)Jiawei Zhang (8 shared papers)Yudong Yao (5 shared papers)Md Mamunur Rahaman (5 shared papers)Xin Zhao (6 shared papers)Tao Jiang (5 shared papers)Jinghua Zhang (4 shared papers)
- Journals
- Artificial Intelligence Review (2 papers)Frontiers in Microbiology (2 papers)Applied Sciences (1 paper)Archives of Computational Methods in Engineering (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Pingli Ma
9 papers receiving 276 citations
Peers
Comparison fields: 5 of 81
- Biophysics 80
- Media Technology 75
- Computer Vision and Pattern Recognition 75
- Artificial Intelligence 71
- Reproductive Medicine 14
Countries citing papers authored by Pingli Ma
This map shows the geographic impact of Pingli 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 Pingli Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingli Ma more than expected).
Fields of papers citing papers by Pingli Ma
This network shows the impact of papers produced by Pingli 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 Pingli Ma. The network helps show where Pingli Ma may publish in the future.
Co-authors
The 19 scholars most cited alongside Pingli 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 | 2021 | 118 | |
| 2 | 2022 | 66 | |
| 3 | 2022 | 31 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 15 | |
| 7 | 2021 | 8 | |
| 8 | 2023 | 6 | |
| 9 | 2020 | 1 |
About Pingli Ma
Pingli Ma is a scholar working on Biophysics, Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 282 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (7 papers), Image Processing Techniques and Applications (6 papers), Digital Imaging for Blood Diseases (4 papers), Reproductive Biology and Fertility (2 papers), Sperm and Testicular Function (2 papers), AI in cancer detection (2 papers), Biosensors and Analytical Detection (1 paper) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Biophysics (80 citations), Media Technology (75 citations), Computer Vision and Pattern Recognition (75 citations), Artificial Intelligence (71 citations) and Reproductive Medicine (14 citations). Pingli Ma has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Chen Li, Marcin Grzegorzek, Jiawei Zhang, Yudong Yao, Md Mamunur Rahaman, Xin Zhao, Tao Jiang, Jinghua Zhang, Hongzan Sun and Xinyu Huang. Their work appears in journals such as Artificial Intelligence Review, Frontiers in Microbiology, Applied Sciences, Archives of Computational Methods in Engineering and Computers in Biology and Medicine.
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.