Junming Jian
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 14
- MRI in cancer diagnosis 3
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- Medical Image Segmentation Techniques 8
- Generative Adversarial Networks and Image Synthesis 1
- 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)Yong ai Li (5 shared papers)Qiong Li (2 shared papers)
- Journals
- Frontiers in Oncology (3 papers)European Radiology (3 papers)Journal of Magnetic Resonance Imaging (3 papers)Academic Radiology (2 papers)Medical Physics (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Junming Jian
22 papers receiving 741 citations
Peers
Comparison fields: 5 of 42
- Health Informatics 50
- Radiology, Nuclear Medicine and Imaging 437
- Artificial Intelligence 202
- Computer Vision and Pattern Recognition 116
- Hepatology 32
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 144 | |
| 2 | 2020 | 74 | |
| 3 | 2020 | 67 | |
| 4 | 2020 | 57 | |
| 5 | 2018 | 56 | |
| 6 | 2020 | 54 | |
| 7 | 2020 | 52 | |
| 8 | 2020 | 36 | |
| 9 | 2021 | 32 | |
| 10 | 2023 | 27 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 22 | |
| 13 | 2019 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2022 | 15 | |
| 16 | 2024 | 12 | |
| 17 | 2023 | 10 | |
| 18 | 2022 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2022 | 7 |
About Junming Jian
Junming Jian is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Radiation, Artificial Intelligence and Hepatology, having authored 26 papers that have together received 752 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Medical Image Segmentation Techniques (8 papers), AI in cancer detection (6 papers), Advanced Radiotherapy Techniques (3 papers), MRI in cancer diagnosis (3 papers), Generative Adversarial Networks and Image Synthesis (1 paper), Ovarian cancer diagnosis and treatment (1 paper) and Colorectal Cancer Surgical Treatments (1 paper). The work is most often cited by research in Health Informatics (50 citations), Radiology, Nuclear Medicine and Imaging (437 citations), Artificial Intelligence (202 citations), Computer Vision and Pattern Recognition (116 citations) and Hepatology (32 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, Yong ai Li, Qiong Li, Wei Wang 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.