Xiaole Ma
Impact in
- Media Technology top 2%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Plant Science top 5%
- Plant Stress Responses and Tolerance
- Plant nutrient uptake and metabolism
- Plant Molecular Biology Research
Papers in
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- Plant nutrient uptake and metabolism 11
- Plant Stress Responses and Tolerance 11
- Wheat and Barley Genetics and Pathology 8
- Plant Micronutrient Interactions and Effects 7
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- Advanced Image Fusion Techniques 23
- Remote-Sensing Image Classification 9
- Co-authors
- Baochun Li (35 shared papers)Yaxiong Meng (35 shared papers)Huajun Wang (32 shared papers)Erjing Si (34 shared papers)Xunwu Shang (29 shared papers)Shaohai Hu (21 shared papers)Juncheng Wang (19 shared papers)Shuaiqi Liu (10 shared papers)
In The Last Decade
Xiaole Ma
63 papers receiving 795 citations
Peers
Comparison fields: 5 of 98
- Media Technology 204
- Plant Science 401
- Computer Vision and Pattern Recognition 194
- Pollution 35
- Molecular Biology 190
Countries citing papers authored by Xiaole Ma
This map shows the geographic impact of Xiaole 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 Xiaole Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaole Ma more than expected).
Fields of papers citing papers by Xiaole Ma
This network shows the impact of papers produced by Xiaole 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 Xiaole Ma. The network helps show where Xiaole Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaole 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 98 | |
| 2 | 2018 | 60 | |
| 3 | 2015 | 60 | |
| 4 | 2020 | 55 | |
| 5 | 2016 | 48 | |
| 6 | 2019 | 45 | |
| 7 | 2019 | 42 | |
| 8 | 2017 | 30 | |
| 9 | 2017 | 26 | |
| 10 | 2019 | 25 | |
| 11 | 2018 | 21 | |
| 12 | 2020 | 18 | |
| 13 | 2019 | 16 | |
| 14 | 2022 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2019 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2021 | 12 | |
| 19 | 2016 | 9 | |
| 20 | 2021 | 8 |
About Xiaole Ma
Xiaole Ma is a scholar working on Plant Science, Media Technology, Computer Vision and Pattern Recognition, Molecular Biology and Biomedical Engineering, having authored 70 papers that have together received 806 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (23 papers), Image and Signal Denoising Methods (18 papers), Plant nutrient uptake and metabolism (11 papers), Plant Stress Responses and Tolerance (11 papers), Remote-Sensing Image Classification (9 papers), Wheat and Barley Genetics and Pathology (8 papers), Plant Micronutrient Interactions and Effects (7 papers) and Image Enhancement Techniques (7 papers). The work is most often cited by research in Media Technology (204 citations), Plant Science (401 citations), Computer Vision and Pattern Recognition (194 citations), Pollution (35 citations) and Molecular Biology (190 citations). Xiaole Ma has collaborated with scholars based in China, Australia and Estonia. Frequent co-authors include Baochun Li, Yaxiong Meng, Huajun Wang, Erjing Si, Xunwu Shang, Shaohai Hu, Juncheng Wang, Shuaiqi Liu, Lirong Yao and Panrong Ren. Their work appears in journals such as Frontiers in Plant Science, International Journal of Molecular Sciences, IEEE Access, Signal Processing Image Communication and IEEE Transactions on Geoscience and Remote Sensing.
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.