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)Jue Wang (4 shared papers)Jun Feng (2 shared papers)Ke Dong (2 shared papers)Xia Sun (2 shared papers)Zhibo Wang (2 shared papers)
- Journals
- IEEE Geoscience and Remote Sensing Letters (7 papers)Science China Information Sciences (2 papers)Sensors (2 papers)Environmental Forensics (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Long Ma
47 papers receiving 793 citations
Peers
Comparison fields: 5 of 116
- Media Technology 224
- Computer Vision and Pattern Recognition 308
- Artificial Intelligence 211
- Aerospace Engineering 100
- Computational Theory and Mathematics 60
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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 134 | |
| 2 | 2018 | 131 | |
| 3 | 2019 | 71 | |
| 4 | 2018 | 54 | |
| 5 | 2018 | 44 | |
| 6 | 2024 | 42 | |
| 7 | 2016 | 40 | |
| 8 | 2016 | 38 | |
| 9 | 2018 | 31 | |
| 10 | 2019 | 28 | |
| 11 | 2023 | 28 | |
| 12 | 2017 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2017 | 14 | |
| 15 | 2017 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2014 | 11 | |
| 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 52 papers that have together received 823 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), Advanced Text Analysis Techniques (6 papers), Text and Document Classification Technologies (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 (224 citations), Computer Vision and Pattern Recognition (308 citations), Artificial Intelligence (211 citations), Aerospace Engineering (100 citations) and Computational Theory and Mathematics (60 citations). Long Ma has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include He Chen, Yanqing Zhang, Wenchao Liu, Jue Wang, Jun Feng, Ke Dong, Xia Sun, Zhibo Wang, Richard F. E. Sutcliffe and Su‐Shing Chen. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, Science China Information Sciences, Sensors, Environmental Forensics 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.