Ming Ai

37 papers and 890 indexed citations i.

About

Ming Ai is a scholar working on Clinical Psychology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Ming Ai has authored 37 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Clinical Psychology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Ming Ai’s work include Suicide and Self-Harm Studies (7 papers), COVID-19 and Mental Health (3 papers) and Healthcare professionals’ stress and burnout (3 papers). Ming Ai is often cited by papers focused on Suicide and Self-Harm Studies (7 papers), COVID-19 and Mental Health (3 papers) and Healthcare professionals’ stress and burnout (3 papers). Ming Ai collaborates with scholars based in China, South Korea and United States. Ming Ai's co-authors include Wo Wang, Li Kuang, Jianmei Chen, Liuyi Ran, Yiting Kong, Jianmei Chen, Jun Cao, Qi Zhang, Shanzhi Chen and Yan Shi and has published in prestigious journals such as Social Science & Medicine, Gene and Journal of Affective Disorders.

In The Last Decade

Co-authorship network of co-authors of Ming Ai i

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.

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).

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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2025