Wen Shen

1.1k total citations
72 papers, 683 citations indexed

About

Wen Shen is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Hepatology. According to data from OpenAlex, Wen Shen has authored 72 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Surgery and 20 papers in Hepatology. Recurrent topics in Wen Shen's work include Radiomics and Machine Learning in Medical Imaging (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (11 papers) and Advanced MRI Techniques and Applications (10 papers). Wen Shen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (11 papers) and Advanced MRI Techniques and Applications (10 papers). Wen Shen collaborates with scholars based in China, United States and India. Wen Shen's co-authors include Shuang Xia, Yue Cheng, E. Mark Haacke, Xiaodong Zhang, Lixiang Huang, Shuangshuang Xie, Chao Chai, Long Jiang Zhang, Ji Qian and Chao Zuo and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Radiology.

In The Last Decade

Wen Shen

65 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Shen China 16 223 179 166 155 98 72 683
Qiang Huang China 15 435 2.0× 144 0.8× 171 1.0× 186 1.2× 272 2.8× 38 974
Seon Woo Kim South Korea 17 88 0.4× 154 0.9× 119 0.7× 170 1.1× 158 1.6× 31 870
Naoki Yoshioka Japan 14 252 1.1× 277 1.5× 226 1.4× 231 1.5× 89 0.9× 83 879
Cían Hughes United Kingdom 17 216 1.0× 151 0.8× 50 0.3× 127 0.8× 113 1.2× 27 870
Idoia Corcuera‐Solano United States 11 287 1.3× 182 1.0× 148 0.9× 96 0.6× 41 0.4× 19 642
Yu‐Fei Fu China 19 175 0.8× 84 0.5× 109 0.7× 289 1.9× 459 4.7× 98 1.0k
Guang‐Uei Hung Taiwan 18 482 2.2× 57 0.3× 27 0.2× 156 1.0× 136 1.4× 101 981
Shmuel Chen United States 20 248 1.1× 398 2.2× 35 0.2× 381 2.5× 148 1.5× 82 1.4k
Nicholas Wang United States 12 144 0.6× 71 0.4× 34 0.2× 222 1.4× 78 0.8× 28 860
Simon Fandler‐Höfler Austria 16 77 0.3× 374 2.1× 22 0.1× 101 0.7× 239 2.4× 57 800

Countries citing papers authored by Wen Shen

Since Specialization
Citations

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

Fields of papers citing papers by Wen Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Shen

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

All Works

20 of 20 papers shown
1.
Zhang, Kun, Kan He, Shuangshuang Xie, et al.. (2025). Gadoxetic Acid–enhanced MRI Scoring Model to Predict Pathologic Features of Hepatocellular Carcinoma. Radiology. 314(2). e233229–e233229. 3 indexed citations
2.
Shen, Wen, Shuang Yang, Ling Xu, et al.. (2025). A one-stage multi-task network for molecular subtyping, grading, and segmentation of glioma. Biomedical Signal Processing and Control. 108. 107923–107923. 1 indexed citations
3.
Cui, Qian, et al.. (2024). Diagnostic value of LGE and T1 mapping in multiple myeloma patients’heart. BMC Cardiovascular Disorders. 24(1).
4.
Wang, Jian, et al.. (2023). Added value of CE-CT radiomics to predict high Ki-67 expression in hepatocellular carcinoma. BMC Medical Imaging. 23(1). 138–138. 5 indexed citations
5.
Zhang, Cheng, et al.. (2023). Longitudinal changes in pelvic organ support among primiparas with postpartum pelvic organ prolapse: A follow‐up magnetic resonance imaging study. International Journal of Gynecology & Obstetrics. 162(2). 514–524. 1 indexed citations
6.
Shi, Li, et al.. (2023). Evaluation of pelvic structural abnormalities in primiparous women with stress urinary incontinence. International Urogynecology Journal. 35(2). 369–380.
7.
Zhang, Cheng, et al.. (2023). Pelvic floor parameters predict postpartum stress urinary incontinence: a prospective MRI study. Insights into Imaging. 14(1). 160–160. 3 indexed citations
8.
9.
Wang, Dianyu, Jinjian Liu, Lijun Yang, et al.. (2022). ICG-loaded and 125I-labeled theranostic nanosystem for multimodality imaging-navigated phototherapy of breast cancer. Biomaterials Science. 11(1). 248–262. 11 indexed citations
10.
Chai, Chao, Huiying Wang, Kun Zhang, et al.. (2022). CAU-Net: A Deep Learning Method for Deep Gray Matter Nuclei Segmentation. Frontiers in Neuroscience. 16. 918623–918623. 2 indexed citations
11.
Zhang, Xiaodong, et al.. (2022). Altered white matter structural connectivity in primary Sjögren’s syndrome: a link-based analysis. Neuroradiology. 64(10). 2011–2019. 5 indexed citations
12.
Cheng, Yue, Wen Shen, Junhai Xu, et al.. (2021). Neuromarkers from Whole-Brain Functional Connectivity Reveal the Cognitive Recovery Scheme for Overt Hepatic Encephalopathy after Liver Transplantation. eNeuro. 8(4). ENEURO.0114–21.2021. 4 indexed citations
13.
He, Xiaoning, Jing Wu, Anke‐Peggy Holtorf, et al.. (2018). Health economic assessment of Gd-EOB-DTPA MRI versus ECCM-MRI and multi-detector CT for diagnosis of hepatocellular carcinoma in China. PLoS ONE. 13(1). e0191095–e0191095. 11 indexed citations
14.
Wang, Lei, Ke Zhang, Yanyan Li, et al.. (2018). Z-Score transformation of ADC values: A way to universal cut off between malignant and benign lymph nodes. European Journal of Radiology. 106. 122–127. 3 indexed citations
15.
Chai, Chao, Saifeng Liu, Linlin Fan, et al.. (2017). Reduced deep regional cerebral venous oxygen saturation in hemodialysis patients using quantitative susceptibility mapping. Metabolic Brain Disease. 33(1). 313–323. 9 indexed citations
16.
Chai, Chao, Linlin Fan, Jun Zhang, et al.. (2016). Increased Number and Distribution of Cerebral Microbleeds Is a Risk Factor for Cognitive Dysfunction in Hemodialysis Patients. Medicine. 95(12). e2974–e2974. 29 indexed citations
17.
Zhang, Xiaodong, Yue Cheng, Colin S. Poon, et al.. (2015). Long-and short-range functional connectivity density alteration in non-alcoholic cirrhotic patients one month after liver transplantation: A resting-state fMRI study. Brain Research. 1620. 177–187. 17 indexed citations
18.
Shen, Wen, Fatima Khwaja, Peter U. Feig, Salim Shah, & Christopher S. Wilcox. (2014). A NOVEL EXTENDED RELEASE FORMULATION OF TORSEMIDE ENHANCES NATRIURESIS WITHOUT LOWERING GFR IN NORMAL HUMAN SUBJECTS. Journal of the American College of Cardiology. 63(12). A1401–A1401. 2 indexed citations
19.
20.
Zhang, Long Jiang, et al.. (2008). Cavernous transformation of portal vein: 16-slice CT portography and correlation with surgical procedure of orthotopic liver transplantation. Abdominal Imaging. 33(5). 529–535. 6 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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