Ming Ai
Impact in
- Clinical Psychology top 2%
- COVID-19 and Mental Health
- Suicide and Self-Harm Studies
- Resilience and Mental Health
- Obsessive-Compulsive Spectrum Disorders
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
Papers in
-
- Suicide and Self-Harm Studies 15
- COVID-19 and Mental Health 5
-
- Functional Brain Connectivity Studies 12
- Co-authors
- Li Kuang (40 shared papers)Wo Wang (29 shared papers)Jianmei Chen (12 shared papers)Jianmei Chen (16 shared papers)Jun Cao (22 shared papers)Liuyi Ran (4 shared papers)Yiting Kong (3 shared papers)Xiaoming Xu (9 shared papers)
- Journals
- Frontiers in Psychiatry (10 papers)Journal of Affective Disorders (6 papers)BMC Psychiatry (2 papers)Psychiatry Research (2 papers)PeerJ (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ming Ai
48 papers receiving 1.5k citations
Ming Ai's Hit Papers
Peers
Comparison fields: 5 of 99
- Clinical Psychology 817
- Cognitive Neuroscience 342
- Biological Psychiatry 17
- Dermatology 61
- Pharmacology 94
Countries citing papers authored by Ming Ai
This map shows the geographic impact of Ming Ai'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 Ming Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ai more than expected).
Fields of papers citing papers by Ming Ai
This network shows the impact of papers produced by Ming Ai. 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 Ming Ai. The network helps show where Ming Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Ai, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Psychological resilience, depression, anxiety, and somatization symptoms in response to COVID-19: A study of the general population in China at the peak of its epidemic Hit paper breakdown → | 2020 | 348 |
| 2 | 2020 | 126 | |
| 3 | 2016 | 111 | |
| 4 | 2016 | 109 | |
| 5 | 2020 | 94 | |
| 6 | 2019 | 70 | |
| 7 | 2014 | 55 | |
| 8 | 2020 | 52 | |
| 9 | 2019 | 50 | |
| 10 | 2019 | 41 | |
| 11 | 2020 | 36 | |
| 12 | 2018 | 34 | |
| 13 | 2020 | 33 | |
| 14 | 2021 | 33 | |
| 15 | 2021 | 32 | |
| 16 | 2021 | 30 | |
| 17 | 2019 | 27 | |
| 18 | 2020 | 27 | |
| 19 | 2024 | 25 | |
| 20 | 2013 | 23 |
About Ming Ai
Ming Ai is a scholar working on Clinical Psychology, Cognitive Neuroscience, Pharmacology, Biological Psychiatry and Neurology, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Suicide and Self-Harm Studies (15 papers), Functional Brain Connectivity Studies (12 papers), COVID-19 and Mental Health (5 papers), Impact of Technology on Adolescents (4 papers), Treatment of Major Depression (4 papers), Terahertz technology and applications (3 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Clinical Psychology (817 citations), Cognitive Neuroscience (342 citations), Biological Psychiatry (17 citations), Dermatology (61 citations) and Pharmacology (94 citations). Ming Ai has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Li Kuang, Wo Wang, Jianmei Chen, Jianmei Chen, Jun Cao, Liuyi Ran, Yiting Kong, Xiaoming Xu, Qi Zhang and Suya Wang. Their work appears in journals such as Frontiers in Psychiatry, Journal of Affective Disorders, BMC Psychiatry, Psychiatry Research and PeerJ.
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.