Yun Ge

862 total citations
30 papers, 688 citations indexed

About

Yun Ge is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Yun Ge has authored 30 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pulmonary and Respiratory Medicine and 6 papers in Obstetrics and Gynecology. Recurrent topics in Yun Ge's work include Radiomics and Machine Learning in Medical Imaging (15 papers), MRI in cancer diagnosis (9 papers) and Gastric Cancer Management and Outcomes (9 papers). Yun Ge is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), MRI in cancer diagnosis (9 papers) and Gastric Cancer Management and Outcomes (9 papers). Yun Ge collaborates with scholars based in China and United States. Yun Ge's co-authors include Jian He, Zhengyang Zhou, Zhuoran Jiang, Yue Guan, Song Liu, F Yin, Lei Ren, Ling Chen, Wenxian Guan and Huanhuan Zheng and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Yun Ge

29 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Ge China 16 558 289 111 100 99 30 688
Ruediger E. Schernthaner Austria 14 317 0.6× 185 0.6× 131 1.2× 26 0.3× 82 0.8× 28 602
Rahul Mukherjee United Kingdom 19 229 0.4× 294 1.0× 67 0.6× 38 0.4× 70 0.7× 54 894
Ila Sethi United States 14 448 0.8× 507 1.8× 71 0.6× 8 0.1× 44 0.4× 35 819
Weiwu Yao China 17 371 0.7× 165 0.6× 223 2.0× 19 0.2× 56 0.6× 46 543
Mattea Welch Canada 12 691 1.2× 269 0.9× 279 2.5× 3 0.0× 98 1.0× 28 854
Barbara Seeliger France 17 131 0.2× 106 0.4× 234 2.1× 25 0.3× 146 1.5× 55 723
P. Rogalla Germany 13 268 0.5× 219 0.8× 114 1.0× 147 1.5× 46 0.5× 30 632
Nikita Garnov Germany 19 434 0.8× 153 0.5× 71 0.6× 4 0.0× 64 0.6× 34 853
Jianbo Gao China 13 174 0.3× 145 0.5× 121 1.1× 23 0.2× 87 0.9× 62 490

Countries citing papers authored by Yun Ge

Since Specialization
Citations

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

Fields of papers citing papers by Yun Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Ge. A scholar is included among the top collaborators of Yun Ge 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 Yun Ge. Yun Ge 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.
Fu, Weijie, et al.. (2025). Branch segmentation and phenotype extraction of apple trees based on improved Laplace algorithm. Computers and Electronics in Agriculture. 232. 109998–109998. 2 indexed citations
2.
Sun, Ying, Yuening Wang, Yuxin Wang, et al.. (2024). Reliable Delineation of Clinical Target Volumes for Cervical Cancer Radiotherapy on CT/MR Dual-Modality Images. Journal of Imaging Informatics in Medicine. 37(2). 575–588. 2 indexed citations
3.
4.
Wu, Tong, Ying Chen, Chao Tao, et al.. (2023). Characterization of anisotropy of elastic modulus with three-dimensional freehand scan shear wave elasticity imaging. Journal of Medical Imaging. 10(6). 66002–66002.
5.
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
6.
Jiang, Zhuoran, et al.. (2021). Enhancement of 4-D Cone-Beam Computed Tomography (4D-CBCT) Using a Dual-Encoder Convolutional Neural Network (DeCNN). IEEE Transactions on Radiation and Plasma Medical Sciences. 6(2). 222–230. 13 indexed citations
7.
Jiang, Zhuoran, et al.. (2021). Prior image-guided cone-beam computed tomography augmentation from under-sampled projections using a convolutional neural network. Quantitative Imaging in Medicine and Surgery. 11(12). 4767–4780. 5 indexed citations
8.
Jiang, Zhuoran, F Yin, Yun Ge, & Lei Ren. (2019). A multi-scale framework with unsupervised joint training of convolutional neural networks for pulmonary deformable image registration. Physics in Medicine and Biology. 65(1). 15011–15011. 73 indexed citations
9.
Liu, Shunli, Hua Shi, Changfeng Ji, et al.. (2018). CT textural analysis of gastric cancer: correlations with immunohistochemical biomarkers. Scientific Reports. 8(1). 11844–11844. 19 indexed citations
10.
Liu, Song, Huanhuan Zheng, Xia Pan, et al.. (2017). Texture analysis of CT imaging for assessment of esophageal squamous cancer aggressiveness. Journal of Thoracic Disease. 9(11). 4724–4732. 30 indexed citations
11.
Liu, Song, Yujuan Zhang, Ling Chen, et al.. (2017). Whole-lesion apparent diffusion coefficient histogram analysis: significance in T and N staging of gastric cancers. BMC Cancer. 17(1). 665–665. 31 indexed citations
12.
Guan, Yue, Wenrui Li, Zhuoran Jiang, et al.. (2017). Value of whole-lesion apparent diffusion coefficient (ADC) first-order statistics and texture features in clinical staging of cervical cancers. Clinical Radiology. 72(11). 951–958. 15 indexed citations
13.
Liu, Song, Yujuan Zhang, Ling Chen, et al.. (2017). Predicting the nodal status in gastric cancers: The role of apparent diffusion coefficient histogram characteristic analysis. Magnetic Resonance Imaging. 42. 144–151. 14 indexed citations
14.
Liu, Shunli, Song Liu, Changfeng Ji, et al.. (2017). Application of CT texture analysis in predicting histopathological characteristics of gastric cancers. European Radiology. 27(12). 4951–4959. 108 indexed citations
15.
Pan, Xiaofen, Haixue Zheng, Wenxian Guan, et al.. (2017). Texture analysis of CT images in predicting malignancy risk of gastrointestinal stromal tumours. Clinical Radiology. 73(3). 266–274. 27 indexed citations
16.
Guan, Yue, Weifeng Li, Zhuoran Jiang, et al.. (2016). Whole-Lesion Apparent Diffusion Coefficient-Based Entropy-Related Parameters for Characterizing Cervical Cancers. Academic Radiology. 23(12). 1559–1567. 35 indexed citations
17.
18.
Guan, Yue, Hua Shi, Ying Chen, et al.. (2015). Whole-Lesion Histogram Analysis of Apparent Diffusion Coefficient for the Assessment of Cervical Cancer. Journal of Computer Assisted Tomography. 40(2). 212–217. 32 indexed citations
19.
Li­, ­Jun, et al.. (2015). Dosimetric Study on Treatment Planning of the Whole Central Nervous System (CNS) by Different Radiotherapy. Journal of Medical Imaging and Health Informatics. 5(4). 795–799. 1 indexed citations
20.
Liu, Zhimin, et al.. (1997). Rapid detoxification of heroin dependence by buprenorphine.. PubMed. 18(2). 112–4. 18 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ruediger E. Schernthaner Breakdown of academic impact, for papers by Rahul Mukherjee Breakdown of academic impact, for papers by Ila Sethi Breakdown of academic impact, for papers by Weiwu Yao Breakdown of academic impact, for papers by Mattea Welch Breakdown of academic impact, for papers by Barbara Seeliger Breakdown of academic impact, for papers by P. Rogalla Breakdown of academic impact, for papers by Nikita Garnov Breakdown of academic impact, for papers by Jianbo Gao
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