Wei Yang

5.5k total citations · 1 hit paper
175 papers, 3.7k citations indexed

About

Wei Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Wei Yang has authored 175 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Radiology, Nuclear Medicine and Imaging, 57 papers in Computer Vision and Pattern Recognition and 45 papers in Biomedical Engineering. Recurrent topics in Wei Yang's work include Radiomics and Machine Learning in Medical Imaging (46 papers), Medical Imaging Techniques and Applications (33 papers) and Medical Image Segmentation Techniques (33 papers). Wei Yang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (46 papers), Medical Imaging Techniques and Applications (33 papers) and Medical Image Segmentation Techniques (33 papers). Wei Yang collaborates with scholars based in China, United States and Hong Kong. Wei Yang's co-authors include Qianjin Feng, Wufan Chen, Meiyan Huang, Zhaoqiang Yun, Jun Cheng, Ru Yang, Jun Jiang, Wei Huang, Shuangliang Cao and Zhijian Wang and has published in prestigious journals such as Nature Communications, Bioinformatics and Journal of the American College of Cardiology.

In The Last Decade

Wei Yang

158 papers receiving 3.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

2015 548 citations Wei Yang, Zhaoqiang Yun et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Wei Yang	1.8k	1.5k	1.1k	923	883	175	3.7k
Dong Yang	1.7k 1.0×	1.7k 1.1×	556 0.5×	1.3k 1.4×	870 1.0×	75	3.8k
Konstantinos Kamnitsas	1.5k 0.9×	1.8k 1.2×	971 0.9×	991 1.1×	637 0.7×	32	3.8k
Mauricio Reyes	1.4k 0.8×	1.4k 0.9×	1.2k 1.0×	734 0.8×	720 0.8×	154	4.0k
Guotai Wang	1.7k 0.9×	1.8k 1.2×	593 0.5×	1.3k 1.4×	637 0.7×	96	3.8k
Yaozong Gao	2.2k 1.2×	1.8k 1.2×	589 0.5×	1.2k 1.3×	1.0k 1.1×	124	4.5k
Daguang Xu	1.8k 1.0×	1.9k 1.2×	609 0.5×	1.9k 2.1×	681 0.8×	61	4.2k
Mattias P. Heinrich‬	1.9k 1.1×	1.9k 1.3×	304 0.3×	738 0.8×	820 0.9×	81	3.6k
Dong Nie	1.9k 1.1×	1.7k 1.1×	518 0.5×	1.0k 1.1×	778 0.9×	85	3.9k
Yucheng Tang	1.2k 0.7×	1.3k 0.9×	506 0.5×	839 0.9×	482 0.5×	85	3.0k
Ozan Oktay	1.3k 0.7×	1.3k 0.8×	324 0.3×	817 0.9×	475 0.5×	29	2.7k

Countries citing papers authored by Wei Yang

Since Specialization

Citations

This map shows the geographic impact of Wei Yang'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 Wei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Yang more than expected).

Fields of papers citing papers by Wei Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Yang. 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 Wei Yang. The network helps show where Wei Yang may publish in the future.

Co-authorship network of co-authors of Wei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Yang. A scholar is included among the top collaborators of Wei Yang 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 Wei Yang. Wei Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Wen, et al.. (2025). Automatic grading assessments of wearable ECG critical value via deep adaptive-asymmetric PRank algorithm. Expert Systems with Applications. 275. 127039–127039.

Chen, Jie, et al.. (2025). Self-Supervised Learning for Spaceborne SAR and Multispectral Image Representation With Few-Shot Local Climate Zone Classification. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.

Jing, Beibei, Youjia Zhang, Zikai Song, Junqing Yu, & Wei Yang. (2024). AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2643–2651. 1 indexed citations

Zhang, Yiwen, et al.. (2024). DoseDiff: Distance-Aware Diffusion Model for Dose Prediction in Radiotherapy. IEEE Transactions on Medical Imaging. 43(10). 3621–3633. 8 indexed citations

Chen, Weicui, Kaiyi Zheng, W. L. Yuan, et al.. (2024). A CT-based deep learning for segmenting tumors and predicting microsatellite instability in patients with colorectal cancers: a multicenter cohort study. La radiologia medica. 130(2). 214–225. 1 indexed citations

Meng, Yan, Xiao Zhang, Bin Zhang, et al.. (2023). Deep learning nomogram based on Gd-EOB-DTPA MRI for predicting early recurrence in hepatocellular carcinoma after hepatectomy. European Radiology. 33(7). 4949–4961. 30 indexed citations

Zhang, Wenlong, Lin Yang, Weitao Ye, et al.. (2022). Optics-guided Robotic System for Dental Implant Surgery. Chinese Journal of Mechanical Engineering. 35(1). 23 indexed citations

Chen, Weicui, et al.. (2022). External validation and comparison of MR-based radiomics models for predicting pathological complete response in locally advanced rectal cancer: a two-centre, multi-vendor study. European Radiology. 33(3). 1906–1917. 27 indexed citations

Zhang, Yiwen, Liming Zhong, Hai Shu, et al.. (2022). Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk. IEEE Transactions on Artificial Intelligence. 4(5). 1246–1257. 7 indexed citations

10.

Lin, Liyan, Xi Tao, Wei Yang, et al.. (2021). Quantifying Axial Spine Images Using Object-Specific Bi-Path Network. IEEE Journal of Biomedical and Health Informatics. 25(8). 2978–2987. 7 indexed citations

11.

Yun, Zhaoqiang, et al.. (2020). Retinal Mosaicking with Vascular Bifurcations Detected on Vessel Mask by a Convolutional Network. Journal of Healthcare Engineering. 2020. 1–13. 8 indexed citations

12.

Zhong, Liming, Xiao Zhang, Zhouyang Lian, et al.. (2020). Deep Longitudinal Feature Representations for Detection of Postradiotherapy Brain Injury at Presymptomatic Stage. IEEE Access. 8. 184710–184721. 4 indexed citations

13.

Liu, Jin, Yi Zhang, Qianlong Zhao, et al.. (2019). Deep iterative reconstruction estimation (DIRE): approximate iterative reconstruction estimation for low dose CT imaging. Physics in Medicine and Biology. 64(13). 135007–135007. 41 indexed citations

14.

Coatrieux, Jean-Louis, Qianlong Zhao, Jin Liu, et al.. (2019). Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging. IEEE Transactions on Medical Imaging. 38(12). 2903–2913. 172 indexed citations

15.

Lu, Yanmeng, et al.. (2019). Automatic Segmentation of Pathological Glomerular Basement Membrane in Transmission Electron Microscopy Images with Random Forest Stacks. Computational and Mathematical Methods in Medicine. 2019. 1–11. 11 indexed citations

16.

Pang, Shumao, Qianjin Feng, Zhentai Lu, et al.. (2019). Hippocampus Segmentation Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding. IEEE Transactions on Medical Imaging. 38(10). 2271–2280. 24 indexed citations

17.

Yun, Zhaoqiang, et al.. (2019). Automatic Segmentation of Ulna and Radius in Forearm Radiographs. Computational and Mathematical Methods in Medicine. 2019. 1–9. 3 indexed citations

18.

Zhong, Liming, Yanlin Chen, Xiao Zhang, et al.. (2019). Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction. IEEE Journal of Biomedical and Health Informatics. 24(4). 1114–1124. 10 indexed citations

19.

Zhu, Rui, et al.. (2018). On Hypothesis Testing for Comparing Image Quality Assessment Metrics. UCL Discovery (University College London). 3 indexed citations

20.

Dong, Yuhao, Qianjin Feng, Wei Yang, et al.. (2017). Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRI. European Radiology. 28(2). 582–591. 197 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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