Guoping Shan

432 total citations
34 papers, 305 citations indexed

About

Guoping Shan is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Guoping Shan has authored 34 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiation, 16 papers in Pulmonary and Respiratory Medicine and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Guoping Shan's work include Advanced Radiotherapy Techniques (19 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Guoping Shan is often cited by papers focused on Advanced Radiotherapy Techniques (19 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Guoping Shan collaborates with scholars based in China, United States and Hong Kong. Guoping Shan's co-authors include Weijun Ding, Wei Wang, Wei Hu, Haihua Yang, Biyun Wang, Qianyi Xu, Xufeng Wang, Ming Chen, Yiwen Chen and Xue Bai and has published in prestigious journals such as Nature Communications, PLoS ONE and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Guoping Shan

30 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoping Shan China 10 158 123 116 102 69 34 305
C. Chiumento Italy 11 123 0.8× 148 1.2× 107 0.9× 59 0.6× 52 0.8× 27 285
Einar Dale Norway 12 261 1.7× 197 1.6× 249 2.1× 74 0.7× 102 1.5× 27 457
Shouping Xu China 11 182 1.2× 130 1.1× 157 1.4× 73 0.7× 53 0.8× 68 316
Georgios Ioannidis Greece 5 298 1.9× 210 1.7× 142 1.2× 26 0.3× 72 1.0× 11 373
Heming Lu China 12 100 0.6× 151 1.2× 88 0.8× 284 2.8× 176 2.6× 25 409
E. Déniaud-Alexandre France 9 151 1.0× 195 1.6× 254 2.2× 18 0.2× 77 1.1× 22 404
Rocchina Caivano Italy 12 103 0.7× 158 1.3× 144 1.2× 29 0.3× 36 0.5× 30 301
Michael C. Kirk United States 12 341 2.2× 138 1.1× 150 1.3× 14 0.1× 104 1.5× 22 474
Görkem Güngör Türkiye 10 269 1.7× 199 1.6× 216 1.9× 19 0.2× 41 0.6× 35 375
Matteo Augugliaro Italy 10 70 0.4× 131 1.1× 74 0.6× 48 0.5× 80 1.2× 28 271

Countries citing papers authored by Guoping Shan

Since Specialization
Citations

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

Fields of papers citing papers by Guoping Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoping Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Guoping Shan. A scholar is included among the top collaborators of Guoping Shan 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 Guoping Shan. Guoping Shan 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, Jie, Xue Bai, & Guoping Shan. (2025). Deep learning‐based estimation of respiration‐induced deformation from surface motion: A proof‐of‐concept study on 4D thoracic image synthesis. Medical Physics. 52(7). e17804–e17804. 1 indexed citations
2.
Shan, Guoping, et al.. (2025). A feature-based approach for atlas selection in automatic pelvic segmentation. PLoS ONE. 20(1). e0317801–e0317801.
3.
Lei, Yu, Feng Shi, Guoping Shan, et al.. (2025). Multicenter study on the versatility and adoption of AI-driven automated radiotherapy planning across cancer types. Nature Communications. 17(1). 867–867.
4.
Shan, Guoping, et al.. (2024). A Review of Artificial Intelligence Application for Radiotherapy. Dose-Response. 22(2).
5.
Liu, Chenlu, et al.. (2024). A novel EPID‐based MLC QA method with log files achieving submillimeter accuracy. Journal of Applied Clinical Medical Physics. 25(8). e14450–e14450. 2 indexed citations
6.
Sheng, Liming, Jing Yang, Danhong Zhang, et al.. (2023). Radiation pneumonia predictive model for radiotherapy in esophageal carcinoma patients. BMC Cancer. 23(1). 988–988. 7 indexed citations
7.
Zhang, Yan, Han Zhou, Yanan Jiang, et al.. (2023). Improving the registration stability of cone-beam computed tomography with the Sphere-Mask Optical Positioning System: a feasibility study. Quantitative Imaging in Medicine and Surgery. 13(5). 2907–2921. 1 indexed citations
8.
Zhang, Yan, Chuanfeng Wu, Guoping Shan, et al.. (2022). Setup error assessment based on “Sphere-Mask” Optical Positioning System: Results from a multicenter study. Frontiers in Oncology. 12. 918296–918296. 1 indexed citations
9.
Bai, Xue, et al.. (2020). A study of prediction model of lung dose in early stage non-small cell lung cancer with stereotactic body radiotherapy. Zhonghua fangshe zhongliuxue zazhi. 29(2). 106–110. 1 indexed citations
10.
Shan, Guoping, Wei Hu, Lili Chen, R Price, & C.‐M. Charlie. (2020). Dosimetric evaluation of image-guided radiation therapy for prostate cancer. Medical dosimetry. 46(2). 117–126. 3 indexed citations
11.
Chen, Guofu, Guoping Shan, Huarong Tang, et al.. (2019). Choice of immobilization of stereotactic body radiotherapy in lung tumor patient by BMI. BMC Cancer. 19(1). 583–583. 11 indexed citations
12.
Bai, Xue, et al.. (2019). Approach and assessment of automated stereotactic radiotherapy planning for early stage non-small-cell lung cancer. BioMedical Engineering OnLine. 18(1). 101–101. 18 indexed citations
13.
Wang, Ming, Gang Liu, Guoping Shan, & Bingbing Wang. (2017). In Vivo and In Vitro Effects of ATM/ATR Signaling Pathway on Proliferation, Apoptosis, and Radiosensitivity of Nasopharyngeal Carcinoma Cells. Cancer Biotherapy and Radiopharmaceuticals. 32(6). 193–203. 5 indexed citations
14.
Shan, Guoping, et al.. (2017). Efficacy and Safety of Chemotherapy Combined with Stereotactic Radiotherapy in the Treatment of Nasopharyngeal Carcinoma. Medical Science Monitor. 23. 5630–5636. 7 indexed citations
15.
Shan, Guoping, et al.. (2016). Margin evaluation of translational and rotational set-up errors in intensity modulated radiotherapy for cervical cancer. SpringerPlus. 5(1). 153–153. 9 indexed citations
16.
Shan, Guoping, et al.. (2016). Numb Gene Enhances Radiation Sensitivity of Nonsmall Cell Lung Cancer Stem Cells. Cancer Biotherapy and Radiopharmaceuticals. 31(5). 180–188. 5 indexed citations
17.
18.
Feng, Wei, Peng Zhang, Xiao Zheng, et al.. (2014). Neuroimaging and clinical characteristics of brain metastases from esophageal carcinoma in Chinese patients. Journal of Cancer Research and Therapeutics. 10(8). 296–296. 10 indexed citations
19.
20.
Wang, Wei, Haihua Yang, Wei Hu, et al.. (2010). Clinical Study of the Necessity of Replanning Before the 25th Fraction During the Course of Intensity-Modulated Radiotherapy for Patients With Nasopharyngeal Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 77(2). 617–621. 95 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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