Wei Shao

1.6k total citations
77 papers, 1.1k citations indexed

About

Wei Shao is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wei Shao has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Pulmonary and Respiratory Medicine and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wei Shao's work include Radiomics and Machine Learning in Medical Imaging (19 papers), Prostate Cancer Diagnosis and Treatment (18 papers) and Advanced Neural Network Applications (7 papers). Wei Shao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), Prostate Cancer Diagnosis and Treatment (18 papers) and Advanced Neural Network Applications (7 papers). Wei Shao collaborates with scholars based in United States, China and Denmark. Wei Shao's co-authors include Jing Ni, Rafig Azzam, Youliang Chen, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, Simon John Christoph Soerensen, Christian A. Kunder, Pejman Ghanouni and James D. Brooks and has published in prestigious journals such as Scientific Reports, The Journal of the Acoustical Society of America and The Journal of Urology.

In The Last Decade

Wei Shao

67 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Shao United States	18	339	298	279	193	156	77	1.1k
Amir Khan United States	14	215 0.6×	220 0.7×	114 0.4×	110 0.6×	213 1.4×	51	992
Xuhua Ren China	14	239 0.7×	54 0.2×	266 1.0×	127 0.7×	100 0.6×	57	832
Jie Yuan China	18	353 1.0×	32 0.1×	136 0.5×	186 1.0×	360 2.3×	90	1.4k
Hannes Hofmann Germany	25	260 0.8×	22 0.1×	998 3.6×	86 0.4×	213 1.4×	104	2.2k
Lorenzo Capineri Italy	22	161 0.5×	77 0.3×	493 1.8×	24 0.1×	744 4.8×	197	1.8k
Hang Gao China	14	334 1.0×	21 0.1×	136 0.5×	39 0.2×	193 1.2×	46	754
Qiaowei Zhang China	14	825 2.4×	103 0.3×	20 0.1×	512 2.7×	436 2.8×	35	2.1k
Cong Li China	14	97 0.3×	117 0.4×	565 2.0×	16 0.1×	11 0.1×	52	996
Guillaume Thibault France	11	314 0.9×	82 0.3×	11 0.0×	97 0.5×	98 0.6×	26	675

Countries citing papers authored by Wei Shao

Since Specialization

Citations

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

Fields of papers citing papers by Wei Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Shao. A scholar is included among the top collaborators of Wei Shao 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 Shao. Wei Shao 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

Wang, Yu, et al.. (2025). Deformation measurement of mesh-hole structure based on digital image correlation. Measurement. 251. 117301–117301.

Zhou, Steve, Li‐Chun Zhang, Moon Hyung Choi, et al.. (2025). ProMUS ‐ NET : Artificial intelligence detects more prostate cancer than urologists on micro‐ultrasonography. British Journal of Urology. 136(6). 1071–1079.

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

Shao, Wei, et al.. (2025). Numerical analysis of coupling effects in adjacent excavations under varying construction sequences. Geotechnical and Geological Engineering. 44(1).

Li, Shuai, et al.. (2024). Accurate semantic segmentation of small-body craters for navigation. Acta Astronautica. 219. 183–194. 1 indexed citations

Imran, Muhammad, et al.. (2024). Volumetric analysis of acute uncomplicated type B aortic dissection using an automated deep learning aortic zone segmentation model. Journal of Vascular Surgery. 80(4). 1025–1034.e4. 4 indexed citations

Liu, Jie, et al.. (2024). Autofocus by Lissajous scanning in time reversal optical scanning holography. Chinese Optics Letters. 22(8). 80501–80501.

Kumar, Amarjeet, et al.. (2024). A flexible 2.5D medical image segmentation approach with in-slice and cross-slice attention. Computers in Biology and Medicine. 182. 109173–109173. 9 indexed citations

Bitton, Rachel R., et al.. (2024). Intraprocedural Diffusion-weighted Imaging for Predicting Ablation Zone during MRI-guided Focused Ultrasound of Prostate Cancer. Radiology Imaging Cancer. 6(5). e240009–e240009. 2 indexed citations

10.

Shao, Wei, Sulaiman Vesal, Simon John Christoph Soerensen, et al.. (2024). RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate. Computers in Biology and Medicine. 173. 108318–108318. 8 indexed citations

11.

Imran, Muhammad, Sara M. Falzarano, Anthony Sisk, et al.. (2024). Image registration of in vivo micro-ultrasound and ex vivo pseudo-whole mount histopathology images of the prostate: A proof-of-concept study. Biomedical Signal Processing and Control. 96. 106657–106657. 1 indexed citations

12.

Imran, Muhammad, et al.. (2024). Transformer-Based Hierarchical Model for Non-Small Cell Lung Cancer Detection and Classification. IEEE Access. 12. 145920–145933. 12 indexed citations

13.

Xu, Jie, Xing He, Wei Shao, Jiang Bian, & Russell Terry. (2023). Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods. Informatics. 10(3). 55–55. 4 indexed citations

14.

Shen, Xiaotao, Wei Shao, Chuchu Wang, et al.. (2022). Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine. Briefings in Bioinformatics. 23(5). 9 indexed citations

15.

Bhattacharya, Indrani, Leo C. Chen, Christian A. Kunder, et al.. (2021). Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging. Medical Physics. 48(6). 2960–2972. 41 indexed citations

16.

Shao, Wei, Christian A. Kunder, Richard E. Fan, et al.. (2020). ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate. Medical Image Analysis. 68. 101919–101919. 61 indexed citations

17.

Shao, Wei, et al.. (2019). N-Phase Local Expansion Ratio for Characterizing Out-of-Phase Lung Ventilation. IEEE Transactions on Medical Imaging. 39(6). 2025–2034. 17 indexed citations

18.

Shao, Wei. (2011). THE HIGH-FREQUENCY FATIGUE CHARACTERISTICS OF ROCK WITH CRACKS. Engineering Mechanics. 1 indexed citations

19.

Shao, Wei. (2010). Artificial intelligence and finite element method for aging assessment of Beihengli Sluice. Water Resources and Hydropower Engineering. 1 indexed citations

20.

Shao, Wei. (2010). Parametric analysis on stress field of pit in pit excavation. Chinese Journal of Geotechnical Engineering. 2 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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