Jianqun Yu
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- Radiomics and Machine Learning in Medical Imaging 10
- Medical Imaging Techniques and Applications 9
- MRI in cancer diagnosis 5
- Radiation Dose and Imaging 4
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- Lung Cancer Diagnosis and Treatment 6
- Sarcoma Diagnosis and Treatment 6
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- Cardiac tumors and thrombi 8
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- Advanced X-ray and CT Imaging 8
- Co-authors
- Zhi‐gang YangZheng HuangXiaohua ZhuChang‐Zern HongYing WanShuang ZhaoZhi‐gang ChuBin Song
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicinePathology and Forensic Medicine
- Journals
- Scientific Reports (3 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)American Journal of Roentgenology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jianqun Yu
52 papers receiving 653 citations
Peers
Comparison fields: 5 of 75
- Radiology, Nuclear Medicine and Imaging 281
- Pulmonary and Respiratory Medicine 188
- Pathology and Forensic Medicine 95
- Surgery 172
- Rheumatology 57
Countries citing papers authored by Jianqun Yu
This map shows the geographic impact of Jianqun Yu'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 Jianqun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianqun Yu more than expected).
Fields of papers citing papers by Jianqun Yu
This network shows the impact of papers produced by Jianqun Yu. 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 Jianqun Yu. The network helps show where Jianqun Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jianqun Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 46 | |
| 6 | 2022 | 28 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 24 | |
| 10 | 2019 | 5 | |
| 11 | 2019 | 30 | |
| 12 | 2016 | 11 | |
| 13 | 2014 | 2 | |
| 14 | 2014 | 7 | |
| 15 | 2014 | 13 | |
| 16 | 2012 | 3 | |
| 17 | 2011 | 2 | |
| 18 | 2011 | 13 | |
| 19 | 2009 | 13 | |
| 20 | Helical CT Features of Abdominal Malignant Lymphoma | 2003 | 1 |
About Jianqun Yu
Jianqun Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 55 papers that have together received 664 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Imaging Techniques and Applications (9 papers), Cardiac tumors and thrombi (8 papers), Advanced X-ray and CT Imaging (8 papers), Lung Cancer Diagnosis and Treatment (6 papers), Sarcoma Diagnosis and Treatment (6 papers), MRI in cancer diagnosis (5 papers) and Radiation Dose and Imaging (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (281 citations), Pulmonary and Respiratory Medicine (188 citations) and Pathology and Forensic Medicine (95 citations). Jianqun Yu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhi‐gang Yang, Zheng Huang, Xiaohua Zhu, Chang‐Zern Hong, Ying Wan, Shuang Zhao, Zhi‐gang Chu, Bin Song, Zhenlin Li and Xue‐Ming Li. Their work appears in journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and American Journal of Roentgenology.
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.