Weidao Chen
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Epidemiology
- Artificial Intelligence
- Co-authors
- Jiangfen WuYiqing ShenXiaotong ZhangXian QiDajing GuoMing LiWeijuan ChenYang Gao
- Topics
- Radiomics and Machine Learning in Medical Imaging (12 papers)Endometrial and Cervical Cancer Treatments (3 papers)Medical Image Segmentation Techniques (3 papers)
- Journals
- Frontiers in ImmunologyIEEE Transactions on Medical ImagingIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weidao Chen
21 papers receiving 252 citations
Peers
Comparison fields: 5 of 56
- Radiology, Nuclear Medicine and Imaging 153
- Biomedical Engineering 72
- Pulmonary and Respiratory Medicine 56
- Epidemiology 40
- Artificial Intelligence 39
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-authorship network of co-authors of Weidao Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Weidao Chen. A scholar is included among the top collaborators of Weidao Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weidao Chen. Weidao Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 16 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 31 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 17 | |
| 13 | 20 | |
| 14 | 23 | |
| 15 | 3 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 31 | |
| 19 | 38 | |
| 20 | 2 |
About Weidao Chen
Weidao Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Obstetrics and Gynecology, 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), Endometrial and Cervical Cancer Treatments (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Health Informatics (20 citations), Radiology, Nuclear Medicine and Imaging (153 citations) and Neurology (26 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, Xian Qi, Dajing Guo, Ming Li, Weijuan Chen, Yang Gao, Wei Zhao and Xi Liu. Their work appears in journals such as Frontiers in Immunology, IEEE Transactions on Medical Imaging and IEEE Transactions on Neural Networks and Learning Systems.
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.