Changfeng Jin
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Behavioral Neuroscience top 10%
Papers in
-
- Functional Brain Connectivity Studies 14
- Neural dynamics and brain function 8
- EEG and Brain-Computer Interfaces 3
-
- Traumatic Brain Injury Research 5
- Co-authors
- Lingjiang Li (13 shared papers)Tianming Liu (10 shared papers)Xiaoping Hu (4 shared papers)Qiyong Gong (5 shared papers)Lian Duan (4 shared papers)Dajiang Zhu (7 shared papers)Xiang Li (7 shared papers)Lei Guo (8 shared papers)
- Journals
- Human Brain Mapping (3 papers)Brain Topography (2 papers)Scientific Reports (1 paper)Brain Research (1 paper)Neuroscience Bulletin (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Changfeng Jin
16 papers receiving 713 citations
Peers
Comparison fields: 5 of 64
- Cognitive Neuroscience 567
- Behavioral Neuroscience 66
- Experimental and Cognitive Psychology 168
- Computational Mathematics 6
- Radiology, Nuclear Medicine and Imaging 207
Countries citing papers authored by Changfeng Jin
This map shows the geographic impact of Changfeng 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 Changfeng Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changfeng Jin more than expected).
Fields of papers citing papers by Changfeng Jin
This network shows the impact of papers produced by Changfeng 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 Changfeng Jin. The network helps show where Changfeng Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Changfeng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 118 | |
| 2 | 2013 | 98 | |
| 3 | 2011 | 90 | |
| 4 | 2017 | 90 | |
| 5 | 2011 | 87 | |
| 6 | 2014 | 55 | |
| 7 | 2016 | 49 | |
| 8 | 2012 | 40 | |
| 9 | 2013 | 29 | |
| 10 | 2013 | 29 | |
| 11 | 2012 | 10 | |
| 12 | 2012 | 9 | |
| 13 | 2014 | 8 | |
| 14 | 2013 | 6 | |
| 15 | 2013 | 4 | |
| 16 | 2025 | 1 |
About Changfeng Jin
Changfeng Jin is a scholar working on Cognitive Neuroscience, Epidemiology, Radiology, Nuclear Medicine and Imaging, Clinical Psychology and Experimental and Cognitive Psychology, having authored 16 papers that have together received 723 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (8 papers), Traumatic Brain Injury Research (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Mental Health Research Topics (3 papers), EEG and Brain-Computer Interfaces (3 papers), Posttraumatic Stress Disorder Research (3 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (567 citations), Behavioral Neuroscience (66 citations), Experimental and Cognitive Psychology (168 citations), Computational Mathematics (6 citations) and Radiology, Nuclear Medicine and Imaging (207 citations). Changfeng Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lingjiang Li, Tianming Liu, Xiaoping Hu, Qiyong Gong, Lian Duan, Dajiang Zhu, Xiang Li, Lei Guo, Yan Yin and Bo Feng. Their work appears in journals such as Human Brain Mapping, Brain Topography, Scientific Reports, Brain Research and Neuroscience Bulletin.
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.