Chenwang Jin
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
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- Mental Health Research Topics
Papers in
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- Functional Brain Connectivity Studies 14
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- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Kai Yuan (12 shared papers)Dahua Yu (11 shared papers)Wei Qin (10 shared papers)Jie Tian (10 shared papers)Yanzhi Bi (9 shared papers)Yangding Li (7 shared papers)Chenxi Cai (6 shared papers)Dan Feng (6 shared papers)
- Journals
- Frontiers in Neuroscience (4 papers)Brain Imaging and Behavior (4 papers)Academic Radiology (3 papers)Addiction Biology (2 papers)European Radiology (2 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Chenwang Jin
52 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Cognitive Neuroscience 566
- Experimental and Cognitive Psychology 232
- Applied Psychology 75
- Health Informatics 21
- Psychiatry and Mental health 204
Countries citing papers authored by Chenwang Jin
This map shows the geographic impact of Chenwang Jin'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 Chenwang Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenwang Jin more than expected).
Fields of papers citing papers by Chenwang Jin
This network shows the impact of papers produced by Chenwang Jin. 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 Chenwang Jin. The network helps show where Chenwang Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenwang Jin, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 161 | |
| 2 | 2016 | 134 | |
| 3 | 2015 | 122 | |
| 4 | 2011 | 103 | |
| 5 | 2015 | 98 | |
| 6 | 2015 | 94 | |
| 7 | 2015 | 84 | |
| 8 | 2015 | 83 | |
| 9 | 2013 | 61 | |
| 10 | 2020 | 59 | |
| 11 | 2015 | 53 | |
| 12 | 2021 | 52 | |
| 13 | 2014 | 51 | |
| 14 | 2020 | 35 | |
| 15 | 2015 | 33 | |
| 16 | 2021 | 31 | |
| 17 | 2017 | 30 | |
| 18 | 2015 | 24 | |
| 19 | 2017 | 21 | |
| 20 | 2015 | 21 |
About Chenwang Jin
Chenwang Jin is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Sociology and Political Science and Experimental and Cognitive Psychology, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (14 papers), Impact of Technology on Adolescents (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Mental Health Research Topics (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced X-ray and CT Imaging (3 papers) and Inflammatory Myopathies and Dermatomyositis (3 papers). The work is most often cited by research in Cognitive Neuroscience (566 citations), Experimental and Cognitive Psychology (232 citations), Applied Psychology (75 citations), Health Informatics (21 citations) and Psychiatry and Mental health (204 citations). Chenwang Jin has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Kai Yuan, Dahua Yu, Wei Qin, Jie Tian, Yanzhi Bi, Yangding Li, Chenxi Cai, Dan Feng, Ming Zhang and Karen M. von Deneen. Their work appears in journals such as Frontiers in Neuroscience, Brain Imaging and Behavior, Academic Radiology, Addiction Biology and European Radiology.
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.