Kai Ma
Impact in
- Health Informatics top 2%
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- Advanced Neural Network Applications
- Visual Attention and Saliency Detection
- Medical Image Segmentation Techniques
Papers in
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- Radiomics and Machine Learning in Medical Imaging 15
- COVID-19 diagnosis using AI 12
- Retinal Imaging and Analysis 9
Kai Ma
111 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 161
- Health Informatics 63
- Computer Vision and Pattern Recognition 730
- Radiology, Nuclear Medicine and Imaging 764
- Cognitive Neuroscience 593
- Human-Computer Interaction 157
Countries citing papers authored by Kai Ma
This map shows the geographic impact of Kai 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 Kai Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Ma more than expected).
Fields of papers citing papers by Kai Ma
This network shows the impact of papers produced by Kai 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 Kai Ma. The network helps show where Kai Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 58 | |
| 10 | 2022 | 38 | |
| 11 | 2021 | 43 | |
| 12 | 2021 | 86 | |
| 13 | 2020 | 129 | |
| 14 | 2020 | 117 | |
| 15 | 2020 | 152 | |
| 16 | 2020 | 13 | |
| 17 | 2020 | 53 | |
| 18 | 2020 | 34 | |
| 19 | 2018 | 2 | |
| 20 | 2009 | 2 |
About Kai Ma
Kai Ma is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology and Artificial Intelligence, having authored 118 papers that have together received 2.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (14 papers), COVID-19 diagnosis using AI (12 papers), EEG and Brain-Computer Interfaces (10 papers), Retinal Diseases and Treatments (9 papers), Domain Adaptation and Few-Shot Learning (9 papers), Advanced Neural Network Applications (9 papers) and Retinal Imaging and Analysis (9 papers). The work is most often cited by research in Health Informatics (63 citations), Computer Vision and Pattern Recognition (730 citations), Radiology, Nuclear Medicine and Imaging (764 citations), Cognitive Neuroscience (593 citations) and Human-Computer Interaction (157 citations). Kai Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yefeng Zheng, Zhongke Gao, Yuexiang Li, Shuang Yu, Xinmin Wang, Qingqing Zheng, Huiqi Li, He Zhao, Xiaolin Hong and Weidong Dang. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, IEEE Journal of Biomedical and Health Informatics, Scientific Reports and European Radiology.
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.