Ming Ai
Impact in
- Clinical Psychology top 5%
- COVID-19 and Mental Health
- Resilience and Mental Health
- Suicide and Self-Harm Studies
- Applied Psychology top 10%
Papers in
-
- Suicide and Self-Harm Studies 7
- COVID-19 and Mental Health 2
-
- Opportunistic and Delay-Tolerant Networks 2
- Network Traffic and Congestion Control 2
- Co-authors
- Wo Wang (14 shared papers)Li Kuang (21 shared papers)Jianmei Chen (9 shared papers)Liuyi Ran (3 shared papers)Yiting Kong (1 shared paper)Jianmei Chen (8 shared papers)Shanzhi Chen (5 shared papers)Jun Cao (8 shared papers)
- Journals
- Frontiers in Psychiatry (4 papers)IEEE Network (2 papers)China Economic Journal (2 papers)BMC Pregnancy and Childbirth (1 paper)Gene (1 paper)
- Partner nations
- ChinaSwitzerlandThailand
In The Last Decade
Ming Ai
41 papers receiving 1.1k citations
Ming Ai's Hit Papers
Peers
Comparison fields: 5 of 114
- Clinical Psychology 433
- Applied Psychology 39
- Dermatology 59
- Ophthalmology 52
- Experimental and Cognitive Psychology 70
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 47 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 | 330 |
| 2 | 2020 | 118 | |
| 3 | 2016 | 99 | |
| 4 | 2015 | 71 | |
| 5 | 2019 | 63 | |
| 6 | 2010 | 35 | |
| 7 | 2019 | 35 | |
| 8 | 2020 | 32 | |
| 9 | 2021 | 29 | |
| 10 | 2021 | 28 | |
| 11 | 2018 | 28 | |
| 12 | 2019 | 26 | |
| 13 | 2007 | 23 | |
| 14 | 2022 | 20 | |
| 15 | 2007 | 19 | |
| 16 | 2014 | 19 | |
| 17 | 2022 | 17 | |
| 18 | 2021 | 16 | |
| 19 | 2012 | 10 | |
| 20 | 2019 | 9 |
About Ming Ai
Ming Ai is a scholar working on Clinical Psychology, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Sociology and Political Science, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Suicide and Self-Harm Studies (7 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers), Impact of Technology on Adolescents (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), COVID-19 and Mental Health (2 papers), Human Mobility and Location-Based Analysis (2 papers), Traffic Prediction and Management Techniques (2 papers) and Network Traffic and Congestion Control (2 papers). The work is most often cited by research in Clinical Psychology (433 citations), Applied Psychology (39 citations), Dermatology (59 citations), Ophthalmology (52 citations) and Experimental and Cognitive Psychology (70 citations). Ming Ai has collaborated with scholars based in China, Switzerland and Thailand. Frequent co-authors include Wo Wang, Li Kuang, Jianmei Chen, Liuyi Ran, Yiting Kong, Jianmei Chen, Shanzhi Chen, Jun Cao, Yan Shi and Qi Zhang. Their work appears in journals such as Frontiers in Psychiatry, IEEE Network, China Economic Journal, BMC Pregnancy and Childbirth and Gene.
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.