Ke Ma
Impact in
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
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- Handwritten Text Recognition Techniques
- Digital Media Forensic Detection
Papers in
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- Handwritten Text Recognition Techniques 4
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- Muscle activation and electromyography studies 8
- Co-authors
- Longhan Xie (12 shared papers)Dimitris Samaras (7 shared papers)Lie Yang (5 shared papers)Yonghao Song (4 shared papers)Zhixin Shu (3 shared papers)Siqi Cai (6 shared papers)Haiqing Zheng (5 shared papers)Guofeng Li (4 shared papers)
- Journals
- Biomedical Signal Processing and Control (3 papers)Knowledge-Based Systems (2 papers)IEEE Access (2 papers)The American Journal of Gastroenterology (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ke Ma
74 papers receiving 861 citations
Peers
Comparison fields: 5 of 134
- Rehabilitation 134
- Computer Vision and Pattern Recognition 202
- Cognitive Neuroscience 192
- Human-Computer Interaction 54
- Health Informatics 6
Countries citing papers authored by Ke Ma
This map shows the geographic impact of Ke 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 Ke Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Ma more than expected).
Fields of papers citing papers by Ke Ma
This network shows the impact of papers produced by Ke 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 Ke Ma. The network helps show where Ke Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 79 | |
| 2 | 2018 | 72 | |
| 3 | 2019 | 43 | |
| 4 | 2019 | 41 | |
| 5 | 2019 | 40 | |
| 6 | 2020 | 40 | |
| 7 | 2019 | 39 | |
| 8 | 2022 | 38 | |
| 9 | 2020 | 31 | |
| 10 | 2014 | 26 | |
| 11 | 2023 | 25 | |
| 12 | 2017 | 23 | |
| 13 | 2022 | 22 | |
| 14 | 2022 | 19 | |
| 15 | 2023 | 18 | |
| 16 | 2022 | 18 | |
| 17 | 2016 | 17 | |
| 18 | 2020 | 16 | |
| 19 | 2019 | 16 | |
| 20 | 2021 | 14 |
About Ke Ma
Ke Ma is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Cognitive Neuroscience, Artificial Intelligence and Surgery, having authored 86 papers that have together received 895 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Muscle activation and electromyography studies (8 papers), Stroke Rehabilitation and Recovery (7 papers), Handwritten Text Recognition Techniques (4 papers), Neuroscience and Neural Engineering (3 papers), Banana Cultivation and Research (3 papers), Retinal Diseases and Treatments (3 papers) and Esophageal Cancer Research and Treatment (3 papers). The work is most often cited by research in Rehabilitation (134 citations), Computer Vision and Pattern Recognition (202 citations), Cognitive Neuroscience (192 citations), Human-Computer Interaction (54 citations) and Health Informatics (6 citations). Ke Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Longhan Xie, Dimitris Samaras, Lie Yang, Yonghao Song, Zhixin Shu, Siqi Cai, Haiqing Zheng, Guofeng Li, Jue Wang and Xue Bai. Their work appears in journals such as Biomedical Signal Processing and Control, Knowledge-Based Systems, IEEE Access, The American Journal of Gastroenterology and IEEE Journal of Biomedical and Health Informatics.
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.