Qingjun Li
Impact in
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- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Advanced Neuroimaging Techniques and Applications 3
- MRI in cancer diagnosis 3
- Radiomics and Machine Learning in Medical Imaging 2
- Surgery 4
- Cholangiocarcinoma and Gallbladder Cancer Studies 2
- Co-authors
- Fuhua Yan (2 shared papers)Minming Zhang (2 shared papers)Ying Chen (2 shared papers)Jinning Li (1 shared paper)Ke Si (1 shared paper)Ying Xue (1 shared paper)Wei Gong (1 shared paper)Shumin Duan (1 shared paper)
- Journals
- European Journal of Radiology (2 papers)Brain and Behavior (2 papers)Translational Vision Science & Technology (1 paper)Cancer Letters (1 paper)Radiation Oncology (1 paper)
- Partner nations
- China
In The Last Decade
Qingjun Li
16 papers receiving 392 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 212
- Hepatology 73
- Oncology 79
- Neurology 22
- Health Informatics 3
Countries citing papers authored by Qingjun Li
This map shows the geographic impact of Qingjun 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 Qingjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingjun Li more than expected).
Fields of papers citing papers by Qingjun Li
This network shows the impact of papers produced by Qingjun 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 Qingjun Li. The network helps show where Qingjun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingjun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 87 | |
| 2 | 2014 | 69 | |
| 3 | 2018 | 66 | |
| 4 | 2019 | 31 | |
| 5 | 2019 | 27 | |
| 6 | 2017 | 17 | |
| 7 | 2019 | 16 | |
| 8 | 2018 | 15 | |
| 9 | 2012 | 15 | |
| 10 | 2006 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2020 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2025 | 0 |
About Qingjun Li
Qingjun Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Epidemiology, Cognitive Neuroscience and Oncology, having authored 17 papers that have together received 394 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), MRI in cancer diagnosis (3 papers), Glaucoma and retinal disorders (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Visual perception and processing mechanisms (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (212 citations), Hepatology (73 citations), Oncology (79 citations), Neurology (22 citations) and Health Informatics (3 citations). Qingjun Li has collaborated with scholars based in China. Frequent co-authors include Fuhua Yan, Minming Zhang, Ying Chen, Jinning Li, Ke Si, Ying Xue, Wei Gong, Shumin Duan, Tingbo Liang and Yi Shao. Their work appears in journals such as European Journal of Radiology, Brain and Behavior, Translational Vision Science & Technology, Cancer Letters and Radiation Oncology.
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.