Jun Shu
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
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- Renal cell carcinoma treatment
- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 3
- Advanced Neuroimaging Techniques and Applications 2
- Advanced MRI Techniques and Applications 2
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- Renal cell carcinoma treatment 3
- Co-authors
- Xiaoli Meng (3 shared papers)Didi Wen (3 shared papers)Hong Yin (2 shared papers)Yuwei Xia (2 shared papers)Jingjing Cui (1 shared paper)Jingsong Zhang (1 shared paper)Yibin Xi (1 shared paper)Shiqi Yu (2 shared papers)
- Journals
- European Journal of Radiology (3 papers)Field Crops Research (1 paper)Gene (1 paper)Image and Vision Computing (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jun Shu
19 papers receiving 355 citations
Peers
Comparison fields: 5 of 72
- Radiology, Nuclear Medicine and Imaging 217
- Pulmonary and Respiratory Medicine 201
- Health Informatics 4
- Biomedical Engineering 86
- Oncology 52
Countries citing papers authored by Jun Shu
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
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-authors
The 25 scholars most cited alongside Jun Shu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 109 | |
| 2 | 2019 | 65 | |
| 3 | 2023 | 28 | |
| 4 | 2021 | 22 | |
| 5 | 2020 | 21 | |
| 6 | 2018 | 21 | |
| 7 | 2020 | 16 | |
| 8 | 2014 | 14 | |
| 9 | 2012 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2017 | 7 | |
| 12 | 2010 | 7 | |
| 13 | 2013 | 6 | |
| 14 | 2016 | 5 | |
| 15 | Precise and comprehensive evaluation of perianal fistulas, classification and related complications using magnetic resonance imaging. | 2023 | 5 |
| 16 | 2023 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 0 |
About Jun Shu
Jun Shu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Rheumatology, having authored 23 papers that have together received 363 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), 3D Surveying and Cultural Heritage (3 papers), Renal cell carcinoma treatment (3 papers), 3D Shape Modeling and Analysis (3 papers), MRI in cancer diagnosis (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Advanced MRI Techniques and Applications (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (217 citations), Pulmonary and Respiratory Medicine (201 citations), Health Informatics (4 citations), Biomedical Engineering (86 citations) and Oncology (52 citations). Jun Shu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xiaoli Meng, Didi Wen, Hong Yin, Yuwei Xia, Jingjing Cui, Jingsong Zhang, Yibin Xi, Shiqi Yu, Jie Zhang and Cheng Jin. Their work appears in journals such as European Journal of Radiology, Field Crops Research, Gene, Image and Vision Computing and Scientific Reports.
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.