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 13
- COVID-19 diagnosis using AI 12
- Retinal Imaging and Analysis 8
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- Advanced Neural Network Applications 9
- Multimodal Machine Learning Applications 8
- Co-authors
- Yefeng Zheng (41 shared papers)Zhongke Gao (9 shared papers)Yuexiang Li (17 shared papers)Shuang Yu (8 shared papers)Qingqing Zheng (2 shared papers)He Zhao (2 shared papers)Xinmin Wang (2 shared papers)Huiqi Li (2 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (9 papers)Medical Image Analysis (7 papers)IEEE Journal of Biomedical and Health Informatics (3 papers)European Radiology (2 papers)The Lancet Regional Health - Western Pacific (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Kai Ma
113 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 151
- Health Informatics 59
- Computer Vision and Pattern Recognition 731
- Cognitive Neuroscience 615
- Radiology, Nuclear Medicine and Imaging 676
- Human-Computer Interaction 160
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-authors
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
Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 196 | |
| 2 | 2020 | 166 | |
| 3 | 2020 | 157 | |
| 4 | 2019 | 148 | |
| 5 | 2020 | 135 | |
| 6 | 2020 | 121 | |
| 7 | 2020 | 111 | |
| 8 | 2021 | 101 | |
| 9 | 2021 | 94 | |
| 10 | 2020 | 82 | |
| 11 | 2021 | 80 | |
| 12 | 2022 | 64 | |
| 13 | 2022 | 62 | |
| 14 | 2021 | 61 | |
| 15 | 2020 | 55 | |
| 16 | 2021 | 48 | |
| 17 | 2020 | 48 | |
| 18 | 2016 | 44 | |
| 19 | 2020 | 44 | |
| 20 | 2022 | 41 |
About Kai Ma
Kai Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 121 papers that have together received 2.7k indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), COVID-19 diagnosis using AI (12 papers), Advanced Neural Network Applications (9 papers), Domain Adaptation and Few-Shot Learning (9 papers), EEG and Brain-Computer Interfaces (9 papers), Retinal Imaging and Analysis (8 papers) and Multimodal Machine Learning Applications (8 papers). The work is most often cited by research in Health Informatics (59 citations), Computer Vision and Pattern Recognition (731 citations), Cognitive Neuroscience (615 citations), Radiology, Nuclear Medicine and Imaging (676 citations) and Human-Computer Interaction (160 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, Qingqing Zheng, He Zhao, Xinmin Wang, Huiqi Li, 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, European Radiology and The Lancet Regional Health - Western Pacific.
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.