Jun Shu

485 total citations
23 papers, 363 citations indexed

About

Jun Shu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jun Shu has authored 23 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Jun Shu's work include Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (3 papers) and Renal cell carcinoma treatment (3 papers). Jun Shu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (3 papers) and Renal cell carcinoma treatment (3 papers). Jun Shu collaborates with scholars based in China, Australia and United States. Jun Shu's co-authors include Xiaoli Meng, Didi Wen, Hong Yin, Yuwei Xia, Jingjing Cui, Jingsong Zhang, Yibin Xi, Shiqi Yu, Jie Zhang and Cong Wei and has published in prestigious journals such as PLoS ONE, Scientific Reports and Gene.

In The Last Decade

Jun Shu

19 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Shu China 10 217 201 86 56 52 23 363
John Shyi Peng Yuen Singapore 12 133 0.6× 362 1.8× 61 0.7× 80 1.4× 44 0.8× 46 514
Markus Kroenke Germany 10 209 1.0× 209 1.0× 47 0.5× 22 0.4× 52 1.0× 18 325
Lifang Pang China 10 196 0.9× 96 0.5× 129 1.5× 39 0.7× 50 1.0× 24 366
Elizabeth Cheng United States 11 232 1.1× 171 0.9× 72 0.8× 21 0.4× 37 0.7× 16 576
Toshiyuki Komaki Japan 11 66 0.3× 140 0.7× 144 1.7× 62 1.1× 91 1.8× 39 441
Çağrı Erdim Türkiye 7 308 1.4× 258 1.3× 102 1.2× 53 0.9× 28 0.5× 17 366
Sevim Baykal Koca Türkiye 10 255 1.2× 328 1.6× 89 1.0× 55 1.0× 66 1.3× 23 467
Christoph Fürweger Germany 12 194 0.9× 128 0.6× 69 0.8× 31 0.6× 18 0.3× 59 467
Ahmed W. Moawad United States 11 95 0.4× 67 0.3× 38 0.4× 55 1.0× 36 0.7× 24 299

Countries citing papers authored by Jun Shu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Shu. A scholar is included among the top collaborators of Jun Shu 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 Jun Shu. Jun Shu 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.
Wang, Yang, Qingling Yang, Jingliang Zhang, et al.. (2025). MRI Versus CT in Planning Primary Debulking Surgery for Epithelial Ovarian Cancer. Journal of Computer Assisted Tomography. 50(1). 91–96.
2.
Cao, Yanhua, Jie Zhang, Jun Shu, et al.. (2024). Integration of genome-wide association and genomic prediction for dissecting seed protein and amino acid in foxtail millet. Field Crops Research. 310. 109344–109344.
3.
Shu, Jun, et al.. (2024). CWGA-Net: Center-Weighted Graph Attention Network for 3D object detection from point clouds. Image and Vision Computing. 152. 105314–105314. 1 indexed citations
4.
Shu, Jun, et al.. (2024). SOA: Seed point offset attention for indoor 3D object detection in point clouds. Computers & Graphics. 123. 103992–103992.
5.
Liu, Yang, et al.. (2024). CDK5RAP3 Inhibition by Hypoxia Activates P38MAPK to Facilitate Angiogenesis. International Heart Journal. 65(4). 748–757.
6.
Ma, Wenhui, Jingliang Zhang, Mingru Zhang, et al.. (2023). PI-RADS-Based Segmented Threshold of PSMA-PET SUVmax Is Better than Traditional Fixed Threshold for Diagnosing Clinically Significant Prostate Cancer Especially for PI-RADS 3 Lesions. Molecular Imaging and Biology. 25(5). 887–896. 4 indexed citations
7.
Shu, Jun, et al.. (2022). Association Between Stroke Characteristics and Post-Stroke Fatigue. Neurology India. 70(2). 676–681. 2 indexed citations
8.
Shu, Jun, et al.. (2022). Improved interobserver agreement on nodule type and Lung-RADS classification of subsolid nodules using computer-aided solid component measurement. European Journal of Radiology. 152. 110339–110339. 4 indexed citations
10.
Meng, Xiaoli, et al.. (2020). A CT‐Based Radiomics Approach for the Differential Diagnosis of Sarcomatoid and Clear Cell Renal Cell Carcinoma. BioMed Research International. 2020(1). 7103647–7103647. 21 indexed citations
11.
Zhang, Guangwen, Wanling Ma, Hui Dong, et al.. (2020). Based on Histogram Analysis: ADCaqp Derived from Ultra-high b-Value DWI could be a Non-invasive Specific Biomarker for Rectal Cancer Prognosis. Scientific Reports. 10(1). 10158–10158. 16 indexed citations
12.
Wang, Wei, et al.. (2020). Development and validation of prognostic nomogram for lung cancer patients below the age of 45 years. Bosnian Journal of Basic Medical Sciences. 21(3). 352–363. 13 indexed citations
13.
Shu, Jun, Didi Wen, Yibin Xi, et al.. (2019). Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade. European Journal of Radiology. 121. 108738–108738. 65 indexed citations
14.
Gao, Hong, et al.. (2018). Folate-receptor-positive circulating tumor cells as an efficacious biomarker for the diagnosis of small pulmonary nodules. Journal of Cancer Research and Therapeutics. 14(7). 1620–1620. 21 indexed citations
15.
Shu, Jun, Jingjing Cui, Xiaoli Meng, et al.. (2018). Clear cell renal cell carcinoma: CT-based radiomics features for the prediction of Fuhrman grade. European Journal of Radiology. 109. 8–12. 109 indexed citations
16.
Zhou, Jing, et al.. (2017). Transplantation of induced mesenchymal stem cells for treating chronic renal insufficiency. PLoS ONE. 12(4). e0176273–e0176273. 7 indexed citations
17.
Li, Xiaofeng, et al.. (2016). HSPB1 polymorphisms might be associated with radiation-induced damage risk in lung cancer patients treated with radiotherapy. Tumor Biology. 37(5). 5743–5749. 5 indexed citations
18.
Shu, Jun, et al.. (2013). Cytochrome P450 2A6 deletion polymorphism and risk of lung cancer: a meta-analysis. Molecular Biology Reports. 40(9). 5255–5259. 6 indexed citations
19.
Wang, Liping, et al.. (2012). Methylenetetrahydrofolate reductase 677TT genotype might be associated with an increased lung cancer risk in Asians. Gene. 515(1). 214–219. 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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