Yide Ma
Impact in
- Media Technology top 0.2%
- Advanced Image Fusion Techniques
- Image Processing Techniques and Applications
- Remote-Sensing Image Classification
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- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Medical Image Segmentation Techniques
Papers in ⓘ
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- Image and Signal Denoising Methods 39
- Medical Image Segmentation Techniques 21
- Image Retrieval and Classification Techniques 14
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- Advanced Image Fusion Techniques 39
- Image Processing Techniques and Applications 29
- Co-authors
- Zhaobin Wang (19 shared papers)Jing Lian (23 shared papers)Kun Zhan (14 shared papers)Qing Liu (6 shared papers)Yunliang Qi (22 shared papers)Jason Gu (4 shared papers)Shouliang Li (14 shared papers)Meng Lou (15 shared papers)
In The Last Decade
Yide Ma
173 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 123
- Media Technology 1.2k
- Computer Vision and Pattern Recognition 1.9k
- Computational Mathematics 29
- Artificial Intelligence 984
- Biophysics 145
Countries citing papers authored by Yide Ma
This map shows the geographic impact of Yide 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 Yide Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yide Ma more than expected).
Fields of papers citing papers by Yide Ma
This network shows the impact of papers produced by Yide 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 Yide Ma. The network helps show where Yide Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Yide 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 182 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 188 | |
| 2 | 2005 | 187 | |
| 3 | 2007 | 185 | |
| 4 | 2010 | 182 | |
| 5 | 2015 | 132 | |
| 6 | 2009 | 121 | |
| 7 | 2021 | 121 | |
| 8 | 2018 | 81 | |
| 9 | 2015 | 77 | |
| 10 | 2014 | 54 | |
| 11 | 2016 | 52 | |
| 12 | 2019 | 47 | |
| 13 | 2021 | 46 | |
| 14 | 2015 | 45 | |
| 15 | 2015 | 44 | |
| 16 | 2017 | 43 | |
| 17 | 2016 | 43 | |
| 18 | 2019 | 42 | |
| 19 | 2023 | 41 | |
| 20 | 2010 | 41 |
About Yide Ma
Yide Ma is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 182 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (39 papers), Image and Signal Denoising Methods (39 papers), AI in cancer detection (34 papers), Image Processing Techniques and Applications (29 papers), Medical Image Segmentation Techniques (21 papers), Radiomics and Machine Learning in Medical Imaging (20 papers), Image Retrieval and Classification Techniques (14 papers) and Biometric Identification and Security (13 papers). The work is most often cited by research in Media Technology (1.2k citations), Computer Vision and Pattern Recognition (1.9k citations), Computational Mathematics (29 citations), Artificial Intelligence (984 citations) and Biophysics (145 citations). Yide Ma has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include Zhaobin Wang, Jing Lian, Kun Zhan, Qing Liu, Yunliang Qi, Jason Gu, Shouliang Li, Meng Lou, Yurun Ma and Weiying Xie. Their work appears in journals such as Neurocomputing, Multimedia Tools and Applications, Biomedical Signal Processing and Control, Archives of Computational Methods in Engineering and Optik.
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.