Ge Ren

877 total citations
44 papers, 501 citations indexed

About

Ge Ren is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Ge Ren has authored 44 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pulmonary and Respiratory Medicine and 14 papers in Radiation. Recurrent topics in Ge Ren's work include Medical Imaging Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Advanced Radiotherapy Techniques (14 papers). Ge Ren is often cited by papers focused on Medical Imaging Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Advanced Radiotherapy Techniques (14 papers). Ge Ren collaborates with scholars based in China, Hong Kong and United States. Ge Ren's co-authors include Xiaoyuan Wang, Ye Li, Zhou Wang, Jing Cai, Haonan Xiao, Jianli Wang, Xiaoqing Hu, Xinzhi Teng, Saikit Lam and Chenyang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bacteriology and International Journal of Molecular Sciences.

In The Last Decade

Ge Ren

37 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge Ren China 12 208 103 86 81 78 44 501
Karen Lemmens Belgium 12 118 0.6× 235 2.3× 60 0.7× 75 0.9× 17 0.2× 18 410
Robin Coope Canada 13 88 0.4× 328 3.2× 40 0.5× 53 0.7× 17 0.2× 32 591
Prabhjot Juneja Australia 10 152 0.7× 36 0.3× 111 1.3× 55 0.7× 172 2.2× 24 385
Wei-Chung Shia Taiwan 9 102 0.5× 96 0.9× 31 0.4× 41 0.5× 2 0.0× 21 350
Seong Il Choi South Korea 15 105 0.5× 314 3.0× 77 0.9× 54 0.7× 11 0.1× 81 741
Yuxin Sun China 14 150 0.7× 157 1.5× 91 1.1× 181 2.2× 7 0.1× 53 588
Cheng Ge China 11 177 0.9× 108 1.0× 18 0.2× 59 0.7× 7 0.1× 31 519
Jacob Shreve United States 13 57 0.3× 213 2.1× 16 0.2× 43 0.5× 2 0.0× 33 618
Renata Andrade Bitar Brazil 14 64 0.3× 137 1.3× 12 0.1× 52 0.6× 3 0.0× 27 521
Yijie Lin Taiwan 9 114 0.5× 60 0.6× 103 1.2× 29 0.4× 14 0.2× 28 554

Countries citing papers authored by Ge Ren

Since Specialization
Citations

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

Fields of papers citing papers by Ge Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Ren. A scholar is included among the top collaborators of Ge Ren 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 Ge Ren. Ge Ren 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.
2.
Teng, Xinzhi, Jiang Zhang, Xinyu Zhang, et al.. (2025). Tumor Imaging Heterogeneity Index-Inspired Insights into the Unveiling Tumor Microenvironment of Breast Cancer. International Journal of Molecular Sciences. 26(23). 11624–11624.
3.
Chen, Zhi, Yuhua Huang, Xinzhi Teng, et al.. (2025). Anatomy-wise lung ventilation imaging for precise functional lung avoidance radiation therapy. Physics in Medicine and Biology. 70(4). 45019–45019.
4.
Chen, Zhi, Yuhua Huang, Xinzhi Teng, et al.. (2025). A Review of Advances in Lung Function Imaging and Its Applications for Functional Lung Avoidance in Radiation Therapy. Seminars in Nuclear Medicine. 55(6). 1046–1057. 1 indexed citations
5.
Xiao, Haonan, et al.. (2024). Artificial intelligence for chest X-ray image enhancement. SHILAP Revista de lepidopterología. 6(1). 61–68. 1 indexed citations
6.
7.
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Chen, Zhi, Yuhua Huang, Wen J. Li, et al.. (2024). Motion and anatomy dual aware lung ventilation imaging by integrating Jacobian map and average CT image using dual path fusion network. Medical Physics. 52(1). 246–256. 3 indexed citations
9.
Zhang, Yuanpeng, Guanjin Wang, Ta Zhou, et al.. (2024). Deep Reconciled and Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability, and Theory. IEEE Transactions on Fuzzy Systems. 32(11). 6185–6198. 6 indexed citations
10.
Chen, Zhi, Yuhua Huang, Bing Li, et al.. (2024). Automatic planning for functional lung avoidance radiotherapy based on function-guided beam angle selection and plan optimization. Physics in Medicine and Biology. 69(15). 155007–155007. 1 indexed citations
11.
Zhou, Ta, Yuanpeng Zhang, Shu‐Cheng Chen, et al.. (2024). Non-contrasted computed tomography (NCCT) based chronic thromboembolic pulmonary hypertension (CTEPH) automatic diagnosis using cascaded network with multiple instance learning. Physics in Medicine and Biology. 69(18). 185011–185011. 2 indexed citations
12.
Yang, Zhi, Jiarui Zhu, Jie Li, et al.. (2024). Pseudo-medical image-guided technology based on 'CBCT-only' mode in esophageal cancer radiotherapy. Computer Methods and Programs in Biomedicine. 245. 108007–108007. 1 indexed citations
13.
Chen, Zhi, et al.. (2023). A super-voxel-based method for generating surrogate lung ventilation images from CT. Frontiers in Physiology. 14. 1085158–1085158. 5 indexed citations
14.
Ren, Ge, Xinzhi Teng, Kang Li, et al.. (2022). Artificial intelligence-assisted multistrategy image enhancement of chest X-rays for COVID-19 classification. Quantitative Imaging in Medicine and Surgery. 13(1). 394–416. 5 indexed citations
15.
Ren, Ge, Yuhua Huang, Lu Xu, et al.. (2022). Deep learning attention-guided radiomics for COVID-19 chest radiograph classification. Quantitative Imaging in Medicine and Surgery. 13(2). 572–584. 5 indexed citations
16.
Zhou, Ta, Ge Ren, Victor C. W. Tam, et al.. (2022). Deep Learning-Based Automatic Assessment of Radiation Dermatitis in Patients With Nasopharyngeal Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 113(3). 685–694. 9 indexed citations
17.
Teng, Xinzhi, Jiang Zhang, Zongrui Ma, et al.. (2022). Improving radiomic model reliability using robust features from perturbations for head-and-neck carcinoma. Frontiers in Oncology. 12. 974467–974467. 22 indexed citations
18.
Li, Bing, Ge Ren, Wei Guo, et al.. (2022). Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients. Frontiers in Pharmacology. 13. 971849–971849. 18 indexed citations
19.
Li, Wen, Haonan Xiao, Tian Li, et al.. (2021). Virtual Contrast-Enhanced Magnetic Resonance Images Synthesis for Patients With Nasopharyngeal Carcinoma Using Multimodality-Guided Synergistic Neural Network. International Journal of Radiation Oncology*Biology*Physics. 112(4). 1033–1044. 32 indexed citations
20.
Xiao, Haonan, Ge Ren, & Jing Cai. (2020). A review on 3D deformable image registration and its application in dose warping. SHILAP Revista de lepidopterología. 1(4). 171–178. 14 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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