Long Ma
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
Papers in
-
- Advanced Image and Video Retrieval Techniques 14
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- Remote-Sensing Image Classification 13
- Co-authors
- He Chen (13 shared papers)Yanqing Zhang (5 shared papers)Wenchao Liu (8 shared papers)Ke Dong (2 shared papers)Xia Sun (2 shared papers)Jun Feng (2 shared papers)Zhibo Wang (2 shared papers)Su‐Shing Chen (1 shared paper)
- Journals
- IEEE Geoscience and Remote Sensing Letters (7 papers)Science China Information Sciences (2 papers)Sensors (2 papers)Journal of Imaging Science and Technology (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Long Ma
46 papers receiving 762 citations
Peers
Comparison fields: 5 of 116
- Media Technology 222
- Computer Vision and Pattern Recognition 305
- Artificial Intelligence 213
- Aerospace Engineering 98
- Computational Theory and Mathematics 61
Countries citing papers authored by Long Ma
This map shows the geographic impact of Long 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 Long Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Ma more than expected).
Fields of papers citing papers by Long Ma
This network shows the impact of papers produced by Long 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 Long Ma. The network helps show where Long Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 128 | |
| 2 | 2015 | 127 | |
| 3 | 2019 | 66 | |
| 4 | 2018 | 52 | |
| 5 | 2018 | 44 | |
| 6 | 2016 | 40 | |
| 7 | 2024 | 38 | |
| 8 | 2016 | 38 | |
| 9 | 2018 | 31 | |
| 10 | 2019 | 28 | |
| 11 | 2023 | 26 | |
| 12 | 2017 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2017 | 14 | |
| 15 | 2017 | 12 | |
| 16 | 2014 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2009 | 7 |
About Long Ma
Long Ma is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Atmospheric Science and Aerospace Engineering, having authored 51 papers that have together received 797 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (14 papers), Remote-Sensing Image Classification (13 papers), Remote Sensing and Land Use (7 papers), Text and Document Classification Technologies (6 papers), Advanced Text Analysis Techniques (6 papers), Oil Spill Detection and Mitigation (5 papers), Infrared Target Detection Methodologies (5 papers) and Marine and coastal ecosystems (5 papers). The work is most often cited by research in Media Technology (222 citations), Computer Vision and Pattern Recognition (305 citations), Artificial Intelligence (213 citations), Aerospace Engineering (98 citations) and Computational Theory and Mathematics (61 citations). Long Ma has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include He Chen, Yanqing Zhang, Wenchao Liu, Ke Dong, Xia Sun, Jun Feng, Zhibo Wang, Su‐Shing Chen, Liang Chen and Richard F. E. Sutcliffe. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, Science China Information Sciences, Sensors, Journal of Imaging Science and Technology and Analytical Chemistry.
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.