Dong Wei
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 11
- COVID-19 diagnosis using AI 8
- Medical Imaging Techniques and Applications 3
-
- Advanced Neural Network Applications 6
- Multimodal Machine Learning Applications 6
- Medical Image Segmentation Techniques 3
- Co-authors
- Yefeng Zheng (23 shared papers)Kai Ma (10 shared papers)Donghuan Lu (9 shared papers)Liansheng Wang (9 shared papers)Shuang Yu (2 shared papers)Tianyi Qian (2 shared papers)Cheng Bian (2 shared papers)Chenglang Yuan (2 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (7 papers)Medical Image Analysis (5 papers)Medical Physics (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Dong Wei
30 papers receiving 363 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 15
- Radiology, Nuclear Medicine and Imaging 170
- Computer Vision and Pattern Recognition 127
- Neurology 44
- Artificial Intelligence 144
Countries citing papers authored by Dong Wei
This map shows the geographic impact of Dong Wei'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 Dong Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Wei more than expected).
Fields of papers citing papers by Dong Wei
This network shows the impact of papers produced by Dong Wei. 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 Dong Wei. The network helps show where Dong Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong Wei, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 61 | |
| 2 | 2020 | 48 | |
| 3 | 2020 | 38 | |
| 4 | 2021 | 35 | |
| 5 | 2023 | 29 | |
| 6 | 2021 | 28 | |
| 7 | 2023 | 27 | |
| 8 | 2018 | 17 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 11 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 2 |
About Dong Wei
Dong Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Computer Networks and Communications, having authored 33 papers that have together received 367 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), COVID-19 diagnosis using AI (8 papers), Advanced Neural Network Applications (6 papers), Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), AI in cancer detection (6 papers), Medical Image Segmentation Techniques (3 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (170 citations), Computer Vision and Pattern Recognition (127 citations), Neurology (44 citations) and Artificial Intelligence (144 citations). Dong Wei has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yefeng Zheng, Kai Ma, Donghuan Lu, Liansheng Wang, Shuang Yu, Tianyi Qian, Cheng Bian, Chenglang Yuan, Shi Gu and Shilei Cao. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Medical Physics, IEEE Journal of Biomedical and Health Informatics and IEEE Transactions on Biomedical Engineering.
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.