Junming Jian
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
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- Ovarian cancer diagnosis and treatment 4
- Co-authors
- Xin Gao (17 shared papers)Wei Xia (15 shared papers)Xingyu Zhao (12 shared papers)Rui Zhang (13 shared papers)Yuguo Tang (4 shared papers)Shiyuan Liu (3 shared papers)Wei Wang (2 shared papers)Yongai Li (5 shared papers)
- Journals
- Frontiers in Oncology (3 papers)European Radiology (3 papers)Journal of Magnetic Resonance Imaging (2 papers)Academic Radiology (2 papers)Medical Physics (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Junming Jian
21 papers receiving 648 citations
Peers
Comparison fields: 5 of 57
- Radiology, Nuclear Medicine and Imaging 315
- Hepatology 90
- Health Informatics 15
- Reproductive Medicine 57
- Pulmonary and Respiratory Medicine 129
Countries citing papers authored by Junming Jian
This map shows the geographic impact of Junming Jian'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 Junming Jian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junming Jian more than expected).
Fields of papers citing papers by Junming Jian
This network shows the impact of papers produced by Junming Jian. 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 Junming Jian. The network helps show where Junming Jian may publish in the future.
Co-authors
The 25 scholars most cited alongside Junming Jian, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 142 | |
| 2 | 2020 | 70 | |
| 3 | 2020 | 64 | |
| 4 | 2018 | 53 | |
| 5 | 2020 | 52 | |
| 6 | 2020 | 51 | |
| 7 | 2020 | 35 | |
| 8 | 2021 | 26 | |
| 9 | 2023 | 25 | |
| 10 | 2021 | 25 | |
| 11 | 2021 | 19 | |
| 12 | 2019 | 17 | |
| 13 | 2021 | 17 | |
| 14 | 2022 | 15 | |
| 15 | 2023 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 5 |
About Junming Jian
Junming Jian is a scholar working on Radiology, Nuclear Medicine and Imaging, Reproductive Medicine, Pulmonary and Respiratory Medicine, Oncology and Hepatology, having authored 24 papers that have together received 656 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Ovarian cancer diagnosis and treatment (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Advanced Radiotherapy Techniques (2 papers), Advanced X-ray and CT Imaging (2 papers), Colorectal Cancer Surgical Treatments (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (315 citations), Hepatology (90 citations), Health Informatics (15 citations), Reproductive Medicine (57 citations) and Pulmonary and Respiratory Medicine (129 citations). Junming Jian has collaborated with scholars based in China and United States. Frequent co-authors include Xin Gao, Wei Xia, Xingyu Zhao, Rui Zhang, Yuguo Tang, Shiyuan Liu, Wei Wang, Yongai Li, Qiong Li and Xiaodong Wu. Their work appears in journals such as Frontiers in Oncology, European Radiology, Journal of Magnetic Resonance Imaging, Academic Radiology and Medical Physics.
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.