Ping Ma
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Papers in
-
- Anomaly Detection Techniques and Applications 2
- Geochemistry and Geologic Mapping 2
-
- Remote-Sensing Image Classification 13
- Advanced Image Fusion Techniques 6
- Co-authors
- Jinchang Ren (11 shared papers)Genyun Sun (10 shared papers)Xiuping Jia (3 shared papers)Aizhu Zhang (7 shared papers)Yijun Yan (5 shared papers)Cong Wang (1 shared paper)Yingchao Dong (1 shared paper)Xiaojun Zhou (1 shared paper)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (2 papers)Knowledge-Based Systems (2 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2 papers)Remote Sensing (2 papers)IEEE Geoscience and Remote Sensing Letters (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Ping Ma
30 papers receiving 481 citations
Peers
Comparison fields: 5 of 104
- Media Technology 154
- Energy Engineering and Power Technology 25
- Computer Vision and Pattern Recognition 85
- Atmospheric Science 55
- Artificial Intelligence 104
Countries citing papers authored by Ping Ma
This map shows the geographic impact of Ping 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 Ping Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Ma more than expected).
Fields of papers citing papers by Ping Ma
This network shows the impact of papers produced by Ping 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 Ping Ma. The network helps show where Ping Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 90 | |
| 2 | 2023 | 62 | |
| 3 | 2017 | 57 | |
| 4 | 2023 | 48 | |
| 5 | 2019 | 29 | |
| 6 | 2011 | 28 | |
| 7 | 2019 | 25 | |
| 8 | 2023 | 21 | |
| 9 | 2018 | 20 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 15 | |
| 12 | 2018 | 15 | |
| 13 | 2011 | 11 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Ping Ma
Ping Ma is a scholar working on Artificial Intelligence, Media Technology, Computer Vision and Pattern Recognition, Atmospheric Science and Control and Systems Engineering, having authored 31 papers that have together received 488 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (13 papers), Advanced Image Fusion Techniques (6 papers), Remote Sensing and Land Use (5 papers), Neuroscience and Neuropharmacology Research (2 papers), Face and Expression Recognition (2 papers), Anomaly Detection Techniques and Applications (2 papers), Geochemistry and Geologic Mapping (2 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Media Technology (154 citations), Energy Engineering and Power Technology (25 citations), Computer Vision and Pattern Recognition (85 citations), Atmospheric Science (55 citations) and Artificial Intelligence (104 citations). Ping Ma has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Jinchang Ren, Genyun Sun, Xiuping Jia, Aizhu Zhang, Yijun Yan, Cong Wang, Yingchao Dong, Xiaojun Zhou, Hongli Zhang and Huimin Zhao. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Knowledge-Based Systems, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing and IEEE Geoscience and Remote Sensing Letters.
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.