Chia‐Chun Hung
Impact in
- Biological Psychiatry top 10%
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
-
- Functional Brain Connectivity Studies 6
-
- Substance Abuse Treatment and Outcomes 2
- HIV, Drug Use, Sexual Risk 2
- Co-authors
- Tony Szu‐Hsien Lee (15 shared papers)Ching‐Po Lin (11 shared papers)Tsuo‐Hung Lan (5 shared papers)Li Ping Wong (3 shared papers)Chu‐Chung Huang (5 shared papers)Haridah Alias (1 shared paper)Chun‐Yi Zac Lo (4 shared papers)Wei-Ling Chen (3 shared papers)
- Journals
- Scientific Reports (3 papers)Organic & Biomolecular Chemistry (2 papers)Drug and Alcohol Dependence (2 papers)Journal of Microbiology Immunology and Infection (2 papers)BMC Psychiatry (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Chia‐Chun Hung
38 papers receiving 829 citations
Peers
Comparison fields: 5 of 107
- Biological Psychiatry 33
- Cognitive Neuroscience 179
- Psychiatry and Mental health 111
- Clinical Psychology 106
- Epidemiology 154
Countries citing papers authored by Chia‐Chun Hung
This map shows the geographic impact of Chia‐Chun Hung'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 Chia‐Chun Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Chun Hung more than expected).
Fields of papers citing papers by Chia‐Chun Hung
This network shows the impact of papers produced by Chia‐Chun Hung. 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 Chia‐Chun Hung. The network helps show where Chia‐Chun Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Chun Hung, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 124 | |
| 2 | 2015 | 99 | |
| 3 | 2020 | 66 | |
| 4 | 2006 | 51 | |
| 5 | 2020 | 39 | |
| 6 | 2011 | 38 | |
| 7 | 2020 | 37 | |
| 8 | 2013 | 34 | |
| 9 | 2015 | 32 | |
| 10 | 2001 | 30 | |
| 11 | 2015 | 28 | |
| 12 | 2017 | 26 | |
| 13 | 2021 | 22 | |
| 14 | 2013 | 21 | |
| 15 | 2021 | 20 | |
| 16 | 2019 | 20 | |
| 17 | 2016 | 19 | |
| 18 | 2014 | 18 | |
| 19 | 2012 | 18 | |
| 20 | 2020 | 17 |
About Chia‐Chun Hung
Chia‐Chun Hung is a scholar working on Cognitive Neuroscience, Epidemiology, Experimental and Cognitive Psychology, Molecular Biology and Pharmacology, having authored 41 papers that have together received 845 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Mental Health Research Topics (5 papers), COVID-19 and Mental Health (4 papers), Treatment of Major Depression (4 papers), Substance Abuse Treatment and Outcomes (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Schizophrenia research and treatment (2 papers) and HIV, Drug Use, Sexual Risk (2 papers). The work is most often cited by research in Biological Psychiatry (33 citations), Cognitive Neuroscience (179 citations), Psychiatry and Mental health (111 citations), Clinical Psychology (106 citations) and Epidemiology (154 citations). Chia‐Chun Hung has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Tony Szu‐Hsien Lee, Ching‐Po Lin, Tsuo‐Hung Lan, Li Ping Wong, Chu‐Chung Huang, Haridah Alias, Chun‐Yi Zac Lo, Wei-Ling Chen, Seymour Grufferman and Robert Murphy. Their work appears in journals such as Scientific Reports, Organic & Biomolecular Chemistry, Drug and Alcohol Dependence, Journal of Microbiology Immunology and Infection and BMC 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.