Jinning Li
Impact in
- Obstetrics and Gynecology top 2%
- COVID-19 Impact on Reproduction
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- MRI in cancer diagnosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 8
- MRI in cancer diagnosis 4
- Oncology 9
- COVID-19 and healthcare impacts 4
- Co-authors
- Dengbin Wang (12 shared papers)Huanhuan Liu (14 shared papers)Weishun Lan (5 shared papers)Tingting Zhang (2 shared papers)Fang Liu (1 shared paper)Yanshu Wang (4 shared papers)Dengbin Wang (9 shared papers)Hui Zheng (7 shared papers)
In The Last Decade
Jinning Li
26 papers receiving 858 citations
Peers
Comparison fields: 5 of 91
- Obstetrics and Gynecology 242
- Radiology, Nuclear Medicine and Imaging 370
- Health Informatics 13
- Infectious Diseases 163
- Critical Care and Intensive Care Medicine 39
Countries citing papers authored by Jinning Li
This map shows the geographic impact of Jinning Li'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 Jinning Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinning Li more than expected).
Fields of papers citing papers by Jinning Li
This network shows the impact of papers produced by Jinning Li. 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 Jinning Li. The network helps show where Jinning Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinning Li, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 351 | |
| 2 | 2020 | 72 | |
| 3 | 2018 | 71 | |
| 4 | 2014 | 69 | |
| 5 | 2018 | 42 | |
| 6 | 2021 | 37 | |
| 7 | 2020 | 35 | |
| 8 | 2019 | 31 | |
| 9 | 2021 | 25 | |
| 10 | 2020 | 23 | |
| 11 | 2019 | 16 | |
| 12 | 2023 | 13 | |
| 13 | 2021 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2023 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2019 | 8 | |
| 20 | COVID-19肺炎の臨床およびCT画像特徴:妊婦および小児に焦点を当てて【JST・京大機械翻訳】 | 2020 | 6 |
About Jinning Li
Jinning Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Obstetrics and Gynecology, Biomedical Engineering and Surgery, having authored 27 papers that have together received 876 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), COVID-19 Impact on Reproduction (4 papers), MRI in cancer diagnosis (4 papers), COVID-19 and healthcare impacts (4 papers), Nanoplatforms for cancer theranostics (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Glioma Diagnosis and Treatment (3 papers) and Pancreatitis Pathology and Treatment (2 papers). The work is most often cited by research in Obstetrics and Gynecology (242 citations), Radiology, Nuclear Medicine and Imaging (370 citations), Health Informatics (13 citations), Infectious Diseases (163 citations) and Critical Care and Intensive Care Medicine (39 citations). Jinning Li has collaborated with scholars based in China, Singapore and Spain. Frequent co-authors include Dengbin Wang, Huanhuan Liu, Weishun Lan, Tingting Zhang, Fang Liu, Yanshu Wang, Dengbin Wang, Hui Zheng, Caiyuan Zhang and Shaofeng Duan. Their work appears in journals such as Journal of Magnetic Resonance Imaging, European Radiology, Journal of Infection, JAMA Network Open and Scientific Reports.
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.