Ying Wei
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 19
- COVID-19 diagnosis using AI 12
- Advanced Neuroimaging Techniques and Applications 6
- Advanced MRI Techniques and Applications 5
Ying Wei
91 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Health Informatics 112
- Radiology, Nuclear Medicine and Imaging 709
- Artificial Intelligence 363
- Gastroenterology 53
- Computer Vision and Pattern Recognition 191
Countries citing papers authored by Ying Wei
This map shows the geographic impact of Ying 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 Ying Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Wei more than expected).
Fields of papers citing papers by Ying Wei
This network shows the impact of papers produced by Ying 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 Ying Wei. The network helps show where Ying Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 24 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 67 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 16 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2022 | 0 | |
| 18 | 2022 | 19 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 4 |
About Ying Wei
Ying Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Acoustics and Ultrasonics, Behavioral Neuroscience, Health Informatics and Cognitive Neuroscience, having authored 104 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), COVID-19 diagnosis using AI (12 papers), Functional Brain Connectivity Studies (11 papers), Advanced Neuroimaging Techniques and Applications (6 papers), EEG and Brain-Computer Interfaces (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Advanced MRI Techniques and Applications (5 papers) and Environmental Impact and Sustainability (4 papers). The work is most often cited by research in Health Informatics (112 citations), Radiology, Nuclear Medicine and Imaging (709 citations), Artificial Intelligence (363 citations), Gastroenterology (53 citations) and Computer Vision and Pattern Recognition (191 citations). Ying Wei has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Feng Shi, Dinggang Shen, Jiuping Xu, Yaozong Gao, Zhongxiang Ding, Fei Shan, Bin Song, Liming Xia, Zhanhao Mo and Kede Ma. Their work appears in journals such as Brain Imaging and Behavior, NeuroImage Clinical, IEEE Transactions on Medical Imaging, Medical Image Analysis and BMC Cancer.
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.