Rongjun Ge
Impact in
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
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- Chaos-based Image/Signal Encryption
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Medical Image Segmentation Techniques 6
- Advanced Neural Network Applications 6
- Chaos-based Image/Signal Encryption 5
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- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 6
- Co-authors
- Yang Chen (20 shared papers)Limin Luo (9 shared papers)Shuo Li (12 shared papers)Guanyu Yang (10 shared papers)Gouenou Coatrieux (5 shared papers)Yuting He (10 shared papers)Daoqiang Zhang (4 shared papers)Jean-Louis Coatrieux (8 shared papers)
In The Last Decade
Rongjun Ge
34 papers receiving 667 citations
Peers
Comparison fields: 5 of 83
- Radiology, Nuclear Medicine and Imaging 288
- Computer Vision and Pattern Recognition 268
- Health Informatics 8
- Biomedical Engineering 208
- Artificial Intelligence 126
Countries citing papers authored by Rongjun Ge
This map shows the geographic impact of Rongjun 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 Rongjun Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rongjun Ge more than expected).
Fields of papers citing papers by Rongjun Ge
This network shows the impact of papers produced by Rongjun 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 Rongjun Ge. The network helps show where Rongjun Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Rongjun Ge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 68 | |
| 2 | 2020 | 64 | |
| 3 | 2019 | 59 | |
| 4 | 2019 | 50 | |
| 5 | 2019 | 41 | |
| 6 | 2020 | 40 | |
| 7 | 2021 | 37 | |
| 8 | 2019 | 35 | |
| 9 | 2021 | 31 | |
| 10 | 2021 | 29 | |
| 11 | 2022 | 27 | |
| 12 | 2023 | 26 | |
| 13 | 2021 | 25 | |
| 14 | 2021 | 24 | |
| 15 | 2016 | 23 | |
| 16 | 2020 | 17 | |
| 17 | 2023 | 16 | |
| 18 | 2023 | 12 | |
| 19 | 2023 | 7 | |
| 20 | 2022 | 7 |
About Rongjun Ge
Rongjun Ge is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 685 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Image Segmentation Techniques (6 papers), Medical Imaging Techniques and Applications (6 papers), Advanced Neural Network Applications (6 papers), Chaos-based Image/Signal Encryption (5 papers), Medical Imaging and Analysis (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (288 citations), Computer Vision and Pattern Recognition (268 citations), Health Informatics (8 citations), Biomedical Engineering (208 citations) and Artificial Intelligence (126 citations). Rongjun Ge has collaborated with scholars based in China, France and Canada. Frequent co-authors include Yang Chen, Limin Luo, Shuo Li, Guanyu Yang, Gouenou Coatrieux, Yuting He, Daoqiang Zhang, Jean-Louis Coatrieux, Jiasong Wu and Cheng Feng. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Medical Imaging, Artificial Intelligence in Medicine and IEEE Transactions on Computational Imaging.
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.