Weidao Chen
Impact in
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 12
- COVID-19 diagnosis using AI 3
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- Advanced X-ray and CT Imaging 3
- Medical Imaging and Analysis 3
- Co-authors
- Jiangfen Wu (11 shared papers)Yiqing Shen (4 shared papers)Xiaotong Zhang (3 shared papers)Dajing Guo (4 shared papers)Xian Qi (2 shared papers)Wei Zhao (2 shared papers)Ming Li (2 shared papers)Weijuan Chen (1 shared paper)
- Journals
- European Radiology (2 papers)European Journal of Radiology (2 papers)Artificial Intelligence in Medicine (1 paper)Insights into Imaging (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weidao Chen
21 papers receiving 252 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 20
- Radiology, Nuclear Medicine and Imaging 153
- Neurology 26
- Health Information Management 14
- Ophthalmology 17
Countries citing papers authored by Weidao Chen
This map shows the geographic impact of Weidao 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 Weidao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weidao Chen more than expected).
Fields of papers citing papers by Weidao Chen
This network shows the impact of papers produced by Weidao 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 Weidao Chen. The network helps show where Weidao Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Weidao 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 38 | |
| 2 | 2023 | 31 | |
| 3 | 2022 | 31 | |
| 4 | 2022 | 23 | |
| 5 | 2022 | 20 | |
| 6 | 2022 | 17 | |
| 7 | 2024 | 16 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2025 | 1 |
About Weidao Chen
Weidao Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 25 papers that have together received 254 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), COVID-19 diagnosis using AI (3 papers), Acute Ischemic Stroke Management (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Advanced X-ray and CT Imaging (3 papers), Medical Image Segmentation Techniques (3 papers), Medical Imaging and Analysis (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Health Informatics (20 citations), Radiology, Nuclear Medicine and Imaging (153 citations), Neurology (26 citations), Health Information Management (14 citations) and Ophthalmology (17 citations). Weidao Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jiangfen Wu, Yiqing Shen, Xiaotong Zhang, Dajing Guo, Xian Qi, Wei Zhao, Ming Li, Weijuan Chen, Yang Gao and Kunhua Li. Their work appears in journals such as European Radiology, European Journal of Radiology, Artificial Intelligence in Medicine, Insights into Imaging and Journal of Clinical Medicine.
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.