Gong‐Jun Ji
Impact in
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neurology top 1%
- Transcranial Magnetic Stimulation Studies
Papers in
-
- Functional Brain Connectivity Studies 86
- Neural and Behavioral Psychology Studies 18
- Neural dynamics and brain function 17
- EEG and Brain-Computer Interfaces 14
- Neurology 39
- Transcranial Magnetic Stimulation Studies 36
- Co-authors
- Wei LiaoKai WangYu‐Feng ZangYanghua TianGuangming LuQiang XuZhiqiang ZhangJue Wang
- Journals
- Journal of Affective Disorders (7 papers)Frontiers in Neuroscience (7 papers)Human Brain Mapping (7 papers)PLoS ONE (5 papers)Schizophrenia Bulletin (4 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Gong‐Jun Ji
107 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 2.2k
- Neurology 588
- Psychiatry and Mental health 778
- Radiology, Nuclear Medicine and Imaging 942
- Biological Psychiatry 91
Countries citing papers authored by Gong‐Jun Ji
This map shows the geographic impact of Gong‐Jun Ji'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 Gong‐Jun Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gong‐Jun Ji more than expected).
Fields of papers citing papers by Gong‐Jun Ji
This network shows the impact of papers produced by Gong‐Jun Ji. 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 Gong‐Jun Ji. The network helps show where Gong‐Jun Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Gong‐Jun Ji, 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 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 30 | |
| 8 | 2021 | 25 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 34 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2020 | 29 | |
| 17 | 2017 | 1 | |
| 18 | 2015 | 24 | |
| 19 | 2015 | 33 | |
| 20 | 2013 | 5 |
About Gong‐Jun Ji
Gong‐Jun Ji is a scholar working on Cognitive Neuroscience, Neurology, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Biological Psychiatry, having authored 113 papers that have together received 2.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (86 papers), Transcranial Magnetic Stimulation Studies (36 papers), Advanced Neuroimaging Techniques and Applications (25 papers), Advanced MRI Techniques and Applications (23 papers), Neural and Behavioral Psychology Studies (18 papers), Neural dynamics and brain function (17 papers), EEG and Brain-Computer Interfaces (14 papers) and Psychosomatic Disorders and Their Treatments (10 papers). The work is most often cited by research in Cognitive Neuroscience (2.2k citations), Neurology (588 citations), Psychiatry and Mental health (778 citations), Radiology, Nuclear Medicine and Imaging (942 citations) and Biological Psychiatry (91 citations). Gong‐Jun Ji has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Wei Liao, Kai Wang, Yu‐Feng Zang, Yanghua Tian, Guangming Lu, Qiang Xu, Zhiqiang Zhang, Jue Wang, Guo‐Rong Wu and Tongjian Bai. Their work appears in journals such as Journal of Affective Disorders, Frontiers in Neuroscience, Human Brain Mapping, PLoS ONE and Schizophrenia 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.