Qingyue Wei
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 10%
- Biomedical Engineering
- Co-authors
- Yuyin ZhouLei XingEhsan AdeliLe LüAlan YuilleJieru MeiXiangde LuoJieneng Chen
- Topics
- Radiomics and Machine Learning in Medical Imaging (2 papers)Advanced Measurement and Metrology Techniques (2 papers)Advanced Neural Network Applications (2 papers)
- Journals
- IEEE Transactions on Medical ImagingMedical Image AnalysisComputers in Biology and Medicine
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qingyue Wei
9 papers receiving 391 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 148
- Artificial Intelligence 144
- Radiology, Nuclear Medicine and Imaging 128
- Neurology 71
- Biomedical Engineering 51
Countries citing papers authored by Qingyue Wei
This map shows the geographic impact of Qingyue 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 Qingyue Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingyue Wei more than expected).
Fields of papers citing papers by Qingyue Wei
This network shows the impact of papers produced by Qingyue 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 Qingyue Wei. The network helps show where Qingyue Wei may publish in the future.
Co-authorship network of co-authors of Qingyue Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Qingyue Wei. A scholar is included among the top collaborators of Qingyue Wei 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 Qingyue Wei. Qingyue Wei 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 | 2 | |
| 3 | 0 | |
| 4 | TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformersbreakdown → | 287 |
| 5 | 1 | |
| 6 | Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imagingbreakdown → | 89 |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 2 |
About Qingyue Wei
Qingyue Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Statistics, Probability and Uncertainty and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 404 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Measurement and Metrology Techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Neurology (71 citations), Computer Vision and Pattern Recognition (148 citations) and Health Informatics (8 citations). Qingyue Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuyin Zhou, Lei Xing, Ehsan Adeli, Le Lü, Alan Yuille, Jieru Mei, Xiangde Luo, Jieneng Chen, Xianhang Li and Yongyi Lu. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Computers in Biology and 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.