Ming Ai

1.7k citations
46 papers · 1.1k indexed · 1 hit paper · h-index 17

Impact in

Papers in

Ming Ai

39 papers receiving 1.0k citations

Hit Papers

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 2020 · 321 citations
3212020202620222024100200300

Peers

Ming Ai
Comparison fields: 5 of 114
  • Clinical Psychology 548
  • Applied Psychology 67
  • Experimental and Cognitive Psychology 112
  • Ophthalmology 68
  • Cognitive Neuroscience 140
Replace Ayşe Kurtulmuş with:
Ayşe Kurtulmuş Türkiye
Yu-Jung Chen Taiwan
Ismail Dergaa Tunisia
Paulo Sérgio Panse Silveira Brazil
John Nee United States
A. Chamoux France
Mohsen Khosravi Iran
Wangting Li China
Don Schopflocher Canada
Shu‐I Wu Taiwan
Ming Ai relative to Ayşe Kurtulmuş Türkiye Ayşe Kurtulmuş's profile →
Citations per field
00.5×10×20×26×
Ayşe Kurtulmuş · 1×
Citations per year

Countries citing papers authored by Ming Ai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming Ai Line = papers co-authored together Ming Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 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 →
2020321
2 2020115
3 201696
4 201571
5 201961
6 201935
7 201035
8 202129
9 202028
10 201826
11 202125
12 201925
13 200723
14 200719
15 201419
16 202216
17 202216
18 202116
19 201210
20 20199

About Ming Ai

Ming Ai is a scholar working on Clinical Psychology, Business and International Management, Biological Psychiatry, Psychiatry and Mental health and Ophthalmology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Suicide and Self-Harm Studies (9 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Functional Brain Connectivity Studies (4 papers), Healthcare professionals’ stress and burnout (3 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers), Posttraumatic Stress Disorder Research (3 papers), COVID-19 and Mental Health (3 papers) and Network Traffic and Congestion Control (2 papers). The work is most often cited by research in Clinical Psychology (548 citations), Applied Psychology (67 citations), Experimental and Cognitive Psychology (112 citations), Ophthalmology (68 citations) and Cognitive Neuroscience (140 citations). Ming Ai has collaborated with scholars based in China, Switzerland and South Korea. Frequent co-authors include Wo Wang, Li Kuang, Jianmei Chen, Liuyi Ran, Yiting Kong, Jianmei Chen, Shanzhi Chen, Yan Shi, Jun Cao and Lixia Wang. Their work appears in journals such as Frontiers in Psychiatry, China Economic Journal, IEEE Network, Graefe s Archive for Clinical and Experimental Ophthalmology and Psychiatry Research.

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.

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