Bao Jing
Impact in
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- MRI in cancer diagnosis 5
- Radiomics and Machine Learning in Medical Imaging 5
- Advanced Neuroimaging Techniques and Applications 2
- Advanced MRI Techniques and Applications 2
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- Attachment and Relationship Dynamics 3
- Co-authors
- Lihua Chen (7 shared papers)Jian Wang (7 shared papers)Yunbao Xia (6 shared papers)Xuequan Huang (4 shared papers)Jiuquan Zhang (4 shared papers)Lin Zhang (2 shared papers)Min Liu (1 shared paper)Xiaofei Hu (2 shared papers)
- Journals
- PLoS ONE (3 papers)Scientific Reports (1 paper)BMJ Open (1 paper)Academic Radiology (1 paper)Frontiers in Psychology (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Bao Jing
15 papers receiving 421 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 307
- Hepatology 67
- Genetics 71
- Computational Mathematics 2
- Endocrinology, Diabetes and Metabolism 36
Countries citing papers authored by Bao Jing
This map shows the geographic impact of Bao Jing'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 Bao Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bao Jing more than expected).
Fields of papers citing papers by Bao Jing
This network shows the impact of papers produced by Bao Jing. 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 Bao Jing. The network helps show where Bao Jing may publish in the future.
Co-authors
The 15 scholars most cited alongside Bao Jing, 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 | 2013 | 206 | |
| 2 | 2012 | 69 | |
| 3 | 2012 | 40 | |
| 4 | 2016 | 39 | |
| 5 | 2017 | 25 | |
| 6 | 2014 | 13 | |
| 7 | 2014 | 12 | |
| 8 | 2020 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2019 | 1 |
About Bao Jing
Bao Jing is a scholar working on Radiology, Nuclear Medicine and Imaging, Social Psychology, Clinical Psychology, Surgery and Neurology, having authored 15 papers that have together received 427 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Attachment and Relationship Dynamics (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (307 citations), Hepatology (67 citations), Genetics (71 citations), Computational Mathematics (2 citations) and Endocrinology, Diabetes and Metabolism (36 citations). Bao Jing has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Lihua Chen, Jian Wang, Yunbao Xia, Xuequan Huang, Jiuquan Zhang, Lin Zhang, Min Liu, Xiaofei Hu, Chen Liu and Jian Xu. Their work appears in journals such as PLoS ONE, Scientific Reports, BMJ Open, Academic Radiology and Frontiers in Psychology.
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.