Jun Liu
Impact in
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Health Informatics top 1%
Papers in
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- Functional Brain Connectivity Studies 56
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- Advanced Neuroimaging Techniques and Applications 33
- Radiomics and Machine Learning in Medical Imaging 19
- Advanced MRI Techniques and Applications 18
- COVID-19 diagnosis using AI 17
- Co-authors
- Wei Zhao (32 shared papers)Xingzhi Xie (13 shared papers)Qizhi Yu (4 shared papers)Lingjiang Li (17 shared papers)Shunke Zhou (4 shared papers)Zishu Zhang (5 shared papers)Yu‐Dong Xiao (3 shared papers)Cong Ma (1 shared paper)
- Journals
- Frontiers in Psychiatry (8 papers)Frontiers in Neuroscience (8 papers)PLoS ONE (7 papers)Journal of Affective Disorders (7 papers)Frontiers in Medicine (6 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Liu
336 papers receiving 8.2k citations
Jun Liu's Hit Papers
Peers
Comparison fields: 5 of 192
- Radiology, Nuclear Medicine and Imaging 1.6k
- Health Informatics 97
- Neurology 1.0k
- Infectious Diseases 1.3k
- Cognitive Neuroscience 1.1k
Countries citing papers authored by Jun Liu
This map shows the geographic impact of Jun Liu'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 Jun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Liu more than expected).
Fields of papers citing papers by Jun Liu
This network shows the impact of papers produced by Jun Liu. 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 Jun Liu. The network helps show where Jun Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Liu, 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 356 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study Hit paper breakdown → | 2020 | 827 |
| 2 | 2020 | 389 | |
| 3 | MRI contrast agents: Classification and application (Review) Hit paper breakdown → | 2016 | 376 |
| 4 | 2020 | 291 | |
| 5 | 2014 | 183 | |
| 6 | 2018 | 139 | |
| 7 | 2009 | 120 | |
| 8 | 2020 | 120 | |
| 9 | 2007 | 119 | |
| 10 | 2007 | 111 | |
| 11 | 2006 | 110 | |
| 12 | 2004 | 106 | |
| 13 | 2005 | 101 | |
| 14 | Increased regional homogeneity in internet addiction disorder: a resting state functional magnetic resonance imaging study. | 2010 | 88 |
| 15 | 2015 | 84 | |
| 16 | 2020 | 82 | |
| 17 | 2020 | 77 | |
| 18 | 2007 | 75 | |
| 19 | 2012 | 72 | |
| 20 | 2017 | 70 |
About Jun Liu
Jun Liu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Cellular and Molecular Neuroscience and Infectious Diseases, having authored 356 papers that have together received 8.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (56 papers), Advanced Neuroimaging Techniques and Applications (33 papers), COVID-19 Clinical Research Studies (21 papers), Radiomics and Machine Learning in Medical Imaging (19 papers), Advanced MRI Techniques and Applications (18 papers), COVID-19 diagnosis using AI (17 papers), Neurotransmitter Receptor Influence on Behavior (17 papers) and Traumatic Brain Injury Research (16 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Health Informatics (97 citations), Neurology (1.0k citations), Infectious Diseases (1.3k citations) and Cognitive Neuroscience (1.1k citations). Jun Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Zhao, Xingzhi Xie, Qizhi Yu, Lingjiang Li, Shunke Zhou, Zishu Zhang, Yu‐Dong Xiao, Cong Ma, Ramchandra Paudel and Cuiping Bao. Their work appears in journals such as Frontiers in Psychiatry, Frontiers in Neuroscience, PLoS ONE, Journal of Affective Disorders and Frontiers in Medicine.
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.