Ming Ai
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
-
- Suicide and Self-Harm Studies 6
-
- Functional Brain Connectivity Studies 6
- Co-authors
- Jun Cao (13 shared papers)Li Kuang (16 shared papers)Jianmei Chen (7 shared papers)Wo Wang (14 shared papers)Zhen Lv (5 shared papers)Weidong Fang (3 shared papers)Jianmei Chen (5 shared papers)Li Kuang (2 shared papers)
- Journals
- Frontiers in Psychiatry (6 papers)Journal of Affective Disorders (4 papers)BioMed Research International (1 paper)PeerJ (1 paper)IEEE Transactions on Vehicular Technology (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ming Ai
24 papers receiving 532 citations
Peers
Comparison fields: 5 of 79
- Biological Psychiatry 42
- Cognitive Neuroscience 169
- Clinical Psychology 131
- Behavioral Neuroscience 20
- Experimental and Cognitive Psychology 60
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 95 | |
| 2 | 2014 | 54 | |
| 3 | 2020 | 49 | |
| 4 | 2019 | 46 | |
| 5 | 2017 | 40 | |
| 6 | 2021 | 30 | |
| 7 | 2017 | 26 | |
| 8 | 2020 | 24 | |
| 9 | 2013 | 23 | |
| 10 | 2019 | 22 | |
| 11 | 2024 | 21 | |
| 12 | 2021 | 20 | |
| 13 | 2022 | 17 | |
| 14 | 2021 | 17 | |
| 15 | Protective effects of total flavonoids from Flos Puerariae on retinal neuronal damage in diabetic mice. | 2013 | 15 |
| 16 | 2022 | 12 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2024 | 4 |
About Ming Ai
Ming Ai is a scholar working on Clinical Psychology, Cognitive Neuroscience, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 29 papers that have together received 535 indexed citations. Recurring topics across this work include Suicide and Self-Harm Studies (6 papers), Functional Brain Connectivity Studies (6 papers), Tryptophan and brain disorders (3 papers), Nerve injury and regeneration (2 papers), Terahertz technology and applications (2 papers), Advanced Chemical Sensor Technologies (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (42 citations), Cognitive Neuroscience (169 citations), Clinical Psychology (131 citations), Behavioral Neuroscience (20 citations) and Experimental and Cognitive Psychology (60 citations). Ming Ai has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jun Cao, Li Kuang, Jianmei Chen, Wo Wang, Zhen Lv, Weidong Fang, Jianmei Chen, Li Kuang, Lili Hu and Xiaoming Xu. Their work appears in journals such as Frontiers in Psychiatry, Journal of Affective Disorders, BioMed Research International, PeerJ and IEEE Transactions on Vehicular Technology.
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.