Changjun Teng
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Clinical Psychology top 10%
- COVID-19 and Mental Health
- Resilience and Mental Health
Papers in
-
- Functional Brain Connectivity Studies 8
- Autism Spectrum Disorder Research 2
- Neural and Behavioral Psychology Studies 2
-
- Mental Health Research Topics 7
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 4
- Co-authors
- Yuan Zhong (6 shared papers)Jijun Li (3 shared papers)Ning Zhang (6 shared papers)Chun Wang (4 shared papers)Hui Ma (3 shared papers)Carol A. Mathews (1 shared paper)Na Liu (2 shared papers)Sara K. Nutley (1 shared paper)
- Journals
- Journal of Affective Disorders (4 papers)Behavioural Brain Research (2 papers)International Health (1 paper)Frontiers in Psychiatry (1 paper)General Psychiatry (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Changjun Teng
15 papers receiving 370 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 151
- Clinical Psychology 152
- Biological Psychiatry 18
- Experimental and Cognitive Psychology 90
- Applied Psychology 24
Countries citing papers authored by Changjun Teng
This map shows the geographic impact of Changjun Teng'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 Changjun Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changjun Teng more than expected).
Fields of papers citing papers by Changjun Teng
This network shows the impact of papers produced by Changjun Teng. 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 Changjun Teng. The network helps show where Changjun Teng may publish in the future.
Co-authors
The 25 scholars most cited alongside Changjun Teng, 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 | 2021 | 112 | |
| 2 | 2018 | 91 | |
| 3 | 2019 | 46 | |
| 4 | 2020 | 30 | |
| 5 | 2022 | 23 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 |
About Changjun Teng
Changjun Teng is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Clinical Psychology, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 375 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Mental Health Research Topics (7 papers), Treatment of Major Depression (5 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers), Obsessive-Compulsive Spectrum Disorders (3 papers), Autism Spectrum Disorder Research (2 papers), Neural and Behavioral Psychology Studies (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Cognitive Neuroscience (151 citations), Clinical Psychology (152 citations), Biological Psychiatry (18 citations), Experimental and Cognitive Psychology (90 citations) and Applied Psychology (24 citations). Changjun Teng has collaborated with scholars based in China and United States. Frequent co-authors include Yuan Zhong, Jijun Li, Ning Zhang, Chun Wang, Hui Ma, Carol A. Mathews, Na Liu, Sara K. Nutley, Xiangyang Zhang and Hua Yang. Their work appears in journals such as Journal of Affective Disorders, Behavioural Brain Research, International Health, Frontiers in Psychiatry and General Psychiatry.
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.