Junkang Shen

1.0k total citations
43 papers, 810 citations indexed

About

Junkang Shen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Junkang Shen has authored 43 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Pulmonary and Respiratory Medicine and 9 papers in Biomedical Engineering. Recurrent topics in Junkang Shen's work include Prostate Cancer Diagnosis and Treatment (22 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Prostate Cancer Treatment and Research (13 papers). Junkang Shen is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (22 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Prostate Cancer Treatment and Research (13 papers). Junkang Shen collaborates with scholars based in China, United States and Taiwan. Junkang Shen's co-authors include Hengte Ke, Huabing Chen, Tao Yang, Yong Wang, Yueyue Zhang, Yangyun Wang, Junxin Wang, Gang Liu, Aijun Zhu and Chunying Chen and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and American Journal of Roentgenology.

In The Last Decade

Junkang Shen

38 papers receiving 803 citations

Peers

Junkang Shen

PRM

RNMI

BIOMA

Guobin Hong China

Minghua Yao China

Liejing Lu China

Weixiang Song China

Ronghe Chen China

Camille Verry France

Judith Weber United Kingdom

Ildikó Horváth Hungary

Xiaochen Feng China

Danli Sheng China

Guobin Hong China

Junkang Shen

326 ×0.9

90 ×0.3

PRM

130 ×0.5

RNMI

118 ×0.6

167 ×1.1

BIOMA

Citations per year, relative to Junkang Shen Junkang Shen (= 1×) peers Guobin Hong

Countries citing papers authored by Junkang Shen

Since Specialization

Citations

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

Fields of papers citing papers by Junkang Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junkang Shen

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

All Works

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20 of 20 papers shown

Song, Yan, Yueyue Zhang, Rui Ma, et al.. (2025). Modified LR-5 criteria based on gadoxetic acid can improve the sensitivity in the diagnosis of hepatocellular carcinoma. World Journal of Radiology. 17(3). 103822–103822.

Jin, Zhi‐Cheng, et al.. (2024). Comparison in prostate cancer diagnosis with PSA 4–10 ng/mL: radiomics-based model VS. PI-RADS v2.1. BMC Urology. 24(1). 233–233. 1 indexed citations

Liu, Yuwei, Litao Zhao, Jie Bao, et al.. (2024). Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics. SHILAP Revista de lepidopterología. 7(1). 16–16. 1 indexed citations

Chen, Tong, Wei Hu, Chaogang Wei, et al.. (2024). A Multimodal Deep Learning Nomogram for the Identification of Clinically Significant Prostate Cancer in Patients with Gray-Zone PSA Levels: Comparison with Clinical and Radiomics Models. Academic Radiology. 32(2). 864–876. 3 indexed citations

Zhang, Yueyue, Huimin Mao, Chaogang Wei, et al.. (2024). Development and Validation of a Biparametric MRI Deep Learning Radiomics Model with Clinical Characteristics for Predicting Perineural Invasion in Patients with Prostate Cancer. Academic Radiology. 31(12). 5054–5065. 3 indexed citations

Chen, Tong, et al.. (2024). Assessment of the O-RADS scoring system for the differentiation of different types of ovarian neoplasms: A modified approach with non-DCE-MRI. Clinical Imaging. 116. 110285–110285.

Bao, Jie, Ximing Wang, Junkang Shen, et al.. (2023). Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin‐Transformer Model and Biparametric MRI: A Multicenter Retrospective Study. Journal of Magnetic Resonance Imaging. 59(6). 2101–2112. 5 indexed citations

Jin, Pengfei, et al.. (2023). Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study. BMC Medical Imaging. 23(1). 47–47. 17 indexed citations

Cui, Manman, Yan Liu, Yuanyuan Wu, et al.. (2023). Low Dose Iodinated Contrast Material and Radiation for Virtual Monochromatic Imaging in Craniocervical Dual-Layer Spectral Detector Computed Tomography Angiography: A Prospective and Randomized Study. Academic Radiology. 31(6). 2501–2510. 1 indexed citations

10.

Bao, Jie, Pengfei Jin, Yanting Ji, et al.. (2022). Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study. European Journal of Nuclear Medicine and Molecular Imaging. 50(3). 727–741. 32 indexed citations

11.

Shen, Junkang, et al.. (2022). Preliminary study on brain resting-state networks and cognitive impairments of patients with obstructive sleep apnea–hypopnea syndrome. BMC Neurology. 22(1). 456–456. 12 indexed citations

12.

Chen, Tong, Zhiyuan Zhang, Yueyue Zhang, et al.. (2022). MRI Based Radiomics Compared With the PI-RADS V2.1 in the Prediction of Clinically Significant Prostate Cancer: Biparametric vs Multiparametric MRI. Frontiers in Oncology. 11. 792456–792456. 18 indexed citations

13.

Wei, Chaogang, Peng Pan, Tong Chen, et al.. (2021). A nomogram based on PI-RADS v2.1 and clinical indicators for predicting clinically significant prostate cancer in the transition zone. Translational Andrology and Urology. 10(6). 2435–2446. 11 indexed citations

14.

Ren, Jialiang, et al.. (2021). Do the combination of multiparametric MRI-based radiomics and selected blood inflammatory markers predict the grade and proliferation in glioma patients?. Diagnostic and Interventional Radiology. 27(3). 440–449. 9 indexed citations

15.

Wei, Chaogang, Tong Chen, Yueyue Zhang, et al.. (2020). Biparametric prostate MRI and clinical indicators predict clinically significant prostate cancer in men with “gray zone” PSA levels. European Journal of Radiology. 127. 108977–108977. 15 indexed citations

16.

Zhang, Yueyue, Wenlu Zhao, Chaogang Wei, et al.. (2019). The value of biparametric MRI in the detection of prostate cancer. Zhonghua fangshexian yixue zazhi. 53(2). 109–114. 2 indexed citations

17.

Chen, Yi‐Ting, Zhen Jiang, Caiyuan Zhang, et al.. (2019). Nigrosome-1 on susceptibility weighted imaging and its clinical relevance in Parkinson′s disease. Chin J Neurol. 52(8). 620–624. 1 indexed citations

18.

Lü, Wei, et al.. (2019). Bone-Seeking Albumin-Nanomedicine for In Vivo Imaging and Therapeutic Monitoring. ACS Biomaterials Science & Engineering. 6(1). 647–653. 8 indexed citations

19.

Yang, Tao, Junxing Wang, Qiaoli Wang, et al.. (2017). Size-Tunable Gd₂O₃@Albumin Nanoparticles Conjugating Chlorin e6 for Magnetic Resonance Imaging-Guided Photo-Induced Therapy. Theranostics. 7(3). 764–774. 73 indexed citations

20.

Guo, Jing, Junkang Shen, Lan Wang, et al.. (2010). In Vivo Evaluation of Cerebral Transplantation of Resovist-Labeled Bone Marrow Stromal Cells in Parkinson’s Disease Rats Using Magnetic Resonance Imaging. Applied Biochemistry and Biotechnology. 163(5). 636–648. 12 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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