Jintai Chen
Impact in
- Health Informatics top 5%
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Machine Learning in Healthcare 5
- AI in cancer detection 4
- Machine Learning and Data Classification 4
- Domain Adaptation and Few-Shot Learning 3
-
- Advanced Neural Network Applications 7
- Medical Image Segmentation Techniques 3
- Co-authors
- Danny Z. Chen (23 shared papers)Jian Wu (20 shared papers)Honghao Gao (7 shared papers)Ruiwei Feng (7 shared papers)Haochao Ying (6 shared papers)Qingyu Song (3 shared papers)Biwen Lei (2 shared papers)Jian Wu (2 shared papers)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (4 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Information Fusion (2 papers)Nature Communications (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jintai Chen
35 papers receiving 749 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 29
- Computer Vision and Pattern Recognition 315
- Artificial Intelligence 269
- Neurology 61
- Radiology, Nuclear Medicine and Imaging 156
Countries citing papers authored by Jintai Chen
This map shows the geographic impact of Jintai Chen'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 Jintai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jintai Chen more than expected).
Fields of papers citing papers by Jintai Chen
This network shows the impact of papers produced by Jintai Chen. 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 Jintai Chen. The network helps show where Jintai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jintai Chen, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 122 | |
| 2 | 2022 | 117 | |
| 3 | 2021 | 82 | |
| 4 | 2020 | 79 | |
| 5 | 2020 | 54 | |
| 6 | 2024 | 37 | |
| 7 | 2024 | 28 | |
| 8 | 2022 | 27 | |
| 9 | 2023 | 19 | |
| 10 | 2019 | 19 | |
| 11 | 2020 | 17 | |
| 12 | 2023 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2024 | 12 | |
| 16 | 2025 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2024 | 9 | |
| 20 | 2022 | 8 |
About Jintai Chen
Jintai Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 761 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), COVID-19 diagnosis using AI (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Machine Learning in Healthcare (5 papers), AI in cancer detection (4 papers), Machine Learning and Data Classification (4 papers), Medical Image Segmentation Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Health Informatics (29 citations), Computer Vision and Pattern Recognition (315 citations), Artificial Intelligence (269 citations), Neurology (61 citations) and Radiology, Nuclear Medicine and Imaging (156 citations). Jintai Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Danny Z. Chen, Jian Wu, Honghao Gao, Ruiwei Feng, Haochao Ying, Qingyu Song, Biwen Lei, Jian Wu, Wenzhe Wang and Jinhong Wang. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Journal of Biomedical and Health Informatics, Information Fusion, Nature Communications and Multimedia Tools and Applications.
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.