Jiejun Cheng
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
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- Advanced X-ray and CT Imaging
- Nanoplatforms for cancer theranostics
Papers in
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- Advanced X-ray and CT Imaging 8
- Nanoplatforms for cancer theranostics 3
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- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 3
- Co-authors
- Huawei Wu (12 shared papers)Jianrong Xu (7 shared papers)Shiteng Suo (4 shared papers)XU Jian-rong (4 shared papers)Ying Zhang (2 shared papers)Jun Zhu (10 shared papers)R.Z. Wang (1 shared paper)Qing Lü (4 shared papers)
In The Last Decade
Jiejun Cheng
35 papers receiving 607 citations
Peers
Comparison fields: 5 of 80
- Radiology, Nuclear Medicine and Imaging 153
- Biomedical Engineering 239
- Biomaterials 54
- Obstetrics and Gynecology 26
- Pulmonary and Respiratory Medicine 91
Countries citing papers authored by Jiejun Cheng
This map shows the geographic impact of Jiejun Cheng'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 Jiejun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiejun Cheng more than expected).
Fields of papers citing papers by Jiejun Cheng
This network shows the impact of papers produced by Jiejun Cheng. 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 Jiejun Cheng. The network helps show where Jiejun Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiejun Cheng, 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 | 1997 | 72 | |
| 2 | 2016 | 63 | |
| 3 | 2020 | 52 | |
| 4 | 2017 | 48 | |
| 5 | 2016 | 31 | |
| 6 | 2013 | 28 | |
| 7 | 2017 | 26 | |
| 8 | 2020 | 22 | |
| 9 | 2016 | 22 | |
| 10 | 2021 | 20 | |
| 11 | 2020 | 20 | |
| 12 | 2019 | 17 | |
| 13 | 2019 | 17 | |
| 14 | 2020 | 15 | |
| 15 | 2015 | 15 | |
| 16 | 2014 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2014 | 13 | |
| 19 | 2015 | 11 | |
| 20 | 2020 | 11 |
About Jiejun Cheng
Jiejun Cheng is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Biomaterials, Oncology and Reproductive Medicine, having authored 36 papers that have together received 615 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (8 papers), Nanoparticle-Based Drug Delivery (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (3 papers), Lymphatic System and Diseases (3 papers), Nanoplatforms for cancer theranostics (3 papers), Endometriosis Research and Treatment (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (153 citations), Biomedical Engineering (239 citations), Biomaterials (54 citations), Obstetrics and Gynecology (26 citations) and Pulmonary and Respiratory Medicine (91 citations). Jiejun Cheng has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Huawei Wu, Jianrong Xu, Shiteng Suo, XU Jian-rong, Ying Zhang, Jun Zhu, R.Z. Wang, Qing Lü, Jinping Jia and Fang Zhang. Their work appears in journals such as Scientific Reports, Clinical Radiology, PLoS ONE, Chinese Journal of Chemistry and Nano Research.
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.