Qingyue Wei

1.1k total citations · 2 hit papers
11 papers, 404 citations indexed

About

Qingyue Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Qingyue Wei has authored 11 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Qingyue Wei's 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). Qingyue Wei is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Measurement and Metrology Techniques (2 papers) and Advanced Neural Network Applications (2 papers). Qingyue Wei collaborates with scholars based in China, United States and Hong Kong. Qingyue Wei's co-authors include Yuyin Zhou, Lei Xing, Ehsan Adeli, Le Lü, Alan Yuille, Jieru Mei, Xiangde Luo, Jieneng Chen, Xianhang Li and Yongyi Lu and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Computers in Biology and Medicine.

In The Last Decade

Qingyue Wei

9 papers receiving 391 citations

Hit Papers

TransUNet: Rethinking the U-Net architecture design for m... 2023 2026 2024 2025 2024 2023 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qingyue Wei China 5 148 144 128 71 51 11 404
Ruihan Zhao China 5 217 1.5× 130 0.9× 131 1.0× 57 0.8× 50 1.0× 21 353
Jieru Mei United States 6 179 1.2× 102 0.7× 99 0.8× 59 0.8× 48 0.9× 10 371
Jichen Yang United States 6 145 1.0× 107 0.7× 155 1.2× 37 0.5× 70 1.4× 19 481
Ryosuke Araki Japan 6 230 1.6× 157 1.1× 105 0.8× 79 1.1× 41 0.8× 8 396
Haoyu Dong United States 4 139 0.9× 100 0.7× 128 1.0× 38 0.5× 51 1.0× 10 361
Hanxue Gu United States 5 140 0.9× 100 0.7× 143 1.1× 39 0.5× 64 1.3× 12 378
Jeremiah Neubert United States 7 136 0.9× 88 0.6× 134 1.0× 45 0.6× 43 0.8× 36 410
Xianhang Li China 6 216 1.5× 136 0.9× 96 0.8× 58 0.8× 140 2.7× 16 509
Narinder Singh Punn India 6 153 1.0× 113 0.8× 130 1.0× 70 1.0× 35 0.7× 13 327
Yujiro Furukawa Japan 4 235 1.6× 199 1.4× 158 1.2× 81 1.1× 38 0.7× 4 445

Countries citing papers authored by Qingyue Wei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

11 of 11 papers shown
1.
Wei, Qingyue, et al.. (2026). Consistent orientation normal vector estimation for scattered point cloud. Computers & Graphics. 134. 104534–104534.
2.
Imran, Muhammad, Qingyue Wei, Isabella M. Grumbach, et al.. (2025). RetinaRegNet: A zero-shot approach for retinal image registration. Computers in Biology and Medicine. 186. 109645–109645. 2 indexed citations
3.
Liu, Junyan, Ruogu Fang, Qingyue Wei, et al.. (2025). Revealing neurocognitive and behavioral patterns through unsupervised manifold learning of dynamic brain data. Nature Computational Science. 5(12). 1238–1252.
4.
Chen, Jieneng, Jieru Mei, Xianhang Li, et al.. (2024). TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Analysis. 97. 103280–103280. 287 indexed citations breakdown →
5.
Zhou, Yuyin, Xianhang Li, Fengze Liu, et al.. (2024). L2B: Learning to Bootstrap Robust Models for Combating Label Noise. 23523–23533. 1 indexed citations
6.
Yan, Rui, Liangqiong Qu, Qingyue Wei, et al.. (2023). Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. IEEE Transactions on Medical Imaging. 42(7). 1932–1943. 89 indexed citations breakdown →
7.
Guo, Xiaojia, et al.. (2022). Alternative pathways to CO2 reduction in Gansu province, China. Energy & Environment. 33(4). 809–825. 4 indexed citations
8.
Li, Yueting, Qingyue Wei, Ehsan Adeli, Kilian M. Pohl, & Qingyu Zhao. (2022). Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome. Lecture notes in computer science. 13431. 231–240. 5 indexed citations
9.
Li, Ming, et al.. (2021). Virtual matching measurement of gap and flush. 30. 192–197. 1 indexed citations
10.
Li, Ming, et al.. (2018). Cylindricity Error Evaluation Based on an Improved Harmony Search Algorithm. Scientific Programming. 2018. 1–13. 13 indexed citations

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.

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