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
-
- Mobile Agent-Based Network Management 4
- Opportunistic and Delay-Tolerant Networks 3
- Caching and Content Delivery 3
-
- Suicide and Self-Harm Studies 7
- 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 (10 shared papers)Yan Shi (8 shared papers)
- Journals
- Frontiers in Psychiatry (4 papers)China Economic Journal (2 papers)IEEE Network (2 papers)BMC Pregnancy and Childbirth (1 paper)Molecular Neurobiology (1 paper)
- Partner nations
- ChinaSwitzerlandThailand
In The Last Decade
Ming Ai
46 papers receiving 1.1k citations
Ming Ai's Hit Papers
Peers
Comparison fields: 5 of 117
- Clinical Psychology 440
- Applied Psychology 41
- Dermatology 63
- Ophthalmology 55
- Cognitive Neuroscience 107
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 52 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 | 334 |
| 2 | 2020 | 121 | |
| 3 | 2016 | 105 | |
| 4 | 2015 | 76 | |
| 5 | 2019 | 67 | |
| 6 | 2010 | 35 | |
| 7 | 2019 | 35 | |
| 8 | 2020 | 32 | |
| 9 | 2018 | 31 | |
| 10 | 2021 | 29 | |
| 11 | 2021 | 28 | |
| 12 | 2019 | 26 | |
| 13 | 2007 | 24 | |
| 14 | 2014 | 23 | |
| 15 | 2007 | 21 | |
| 16 | 2022 | 20 | |
| 17 | 2022 | 17 | |
| 18 | 2021 | 16 | |
| 19 | 2012 | 10 | |
| 20 | 2019 | 9 |
About Ming Ai
Ming Ai is a scholar working on Computer Networks and Communications, Clinical Psychology, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Transportation, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Suicide and Self-Harm Studies (7 papers), Mobile Agent-Based Network Management (4 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Human Mobility and Location-Based Analysis (3 papers), IPv6, Mobility, Handover, Networks, Security (3 papers), Caching and Content Delivery (3 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers) and Impact of Technology on Adolescents (2 papers). The work is most often cited by research in Clinical Psychology (440 citations), Applied Psychology (41 citations), Dermatology (63 citations), Ophthalmology (55 citations) and Cognitive Neuroscience (107 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, Yan Shi, Jun Cao and Qi Zhang. Their work appears in journals such as Frontiers in Psychiatry, China Economic Journal, IEEE Network, BMC Pregnancy and Childbirth and Molecular Neurobiology.
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.