Dong Wei
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Multimodal Machine Learning Applications
Papers in
-
- COVID-19 diagnosis using AI 14
- Radiomics and Machine Learning in Medical Imaging 13
- Medical Imaging Techniques and Applications 4
-
- Advanced Neural Network Applications 15
- Multimodal Machine Learning Applications 8
- Medical Image Segmentation Techniques 6
- Co-authors
- Yefeng Zheng (38 shared papers)Kai Ma (18 shared papers)Donghuan Lu (15 shared papers)Yuexiang Li (10 shared papers)Munan Ning (5 shared papers)Liansheng Wang (13 shared papers)Nanjun He (2 shared papers)Yawen Huang (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)Lecture notes in computer science (15 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Dong Wei
45 papers receiving 658 citations
Peers
Comparison fields: 5 of 81
- Neurology 119
- Computer Vision and Pattern Recognition 316
- Health Informatics 17
- Radiology, Nuclear Medicine and Imaging 253
- Artificial Intelligence 277
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 111 | |
| 2 | 2022 | 76 | |
| 3 | 2021 | 61 | |
| 4 | 2020 | 50 | |
| 5 | 2020 | 41 | |
| 6 | 2021 | 39 | |
| 7 | 2023 | 36 | |
| 8 | 2021 | 31 | |
| 9 | 2019 | 30 | |
| 10 | 2023 | 29 | |
| 11 | 2018 | 18 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2024 | 6 |
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 Neurology, having authored 49 papers that have together received 673 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (15 papers), COVID-19 diagnosis using AI (14 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Domain Adaptation and Few-Shot Learning (10 papers), AI in cancer detection (9 papers), Multimodal Machine Learning Applications (8 papers), Medical Image Segmentation Techniques (6 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Neurology (119 citations), Computer Vision and Pattern Recognition (316 citations), Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (253 citations) and Artificial Intelligence (277 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, Yuexiang Li, Munan Ning, Liansheng Wang, Nanjun He, Yawen Huang, Yang Zhang and Zhiqiang He. 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 Lecture notes in computer science.
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.