Ming Ai

33 papers receiving 671 citations

Peers

Ming Ai
Comparison fields: 5 of 89
  • Biological Psychiatry 45
  • Clinical Psychology 212
  • Cognitive Neuroscience 179
  • Behavioral Neuroscience 19
  • Experimental and Cognitive Psychology 67
Replace Renato T. Ramos with:
Renato T. Ramos Brazil
Jinfeng Wu China
Ruiping Zheng China
Takamitsu Shimada Japan
Edward Gaiser United States
Yange Wei China
Sevdalina Kandilarova Bulgaria
Kerstin Langbein Germany
Natalie J. Forde Netherlands
Haiyang Geng China
Ming Ai relative to Renato T. Ramos Brazil Renato T. Ramos's profile →
Citations per field
00.5×2×3.4×
Renato T. Ramos · 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016109
2 202093
3 201455
4 202052
5 201948
6 201740
7 202133
8 201727
9 202425
10 202025
11 201323
12 201921
13 202121
14 202217
15 202117
16
Protective effects of total flavonoids from Flos Puerariae on retinal neuronal damage in diabetic mice.
201315
17 202214
18 20248
19 20247
20 20246

About Ming Ai

Ming Ai is a scholar working on Clinical Psychology, Biological Psychiatry, Cognitive Neuroscience, Computer Networks and Communications and Behavioral Neuroscience, having authored 35 papers that have together received 683 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Suicide and Self-Harm Studies (6 papers), IPv6, Mobility, Handover, Networks, Security (5 papers), Mobile Agent-Based Network Management (4 papers), Tryptophan and brain disorders (3 papers), Advanced Chemical Sensor Technologies (3 papers), Terahertz technology and applications (3 papers) and Wireless Communication Networks Research (2 papers). The work is most often cited by research in Biological Psychiatry (45 citations), Clinical Psychology (212 citations), Cognitive Neuroscience (179 citations), Behavioral Neuroscience (19 citations) and Experimental and Cognitive Psychology (67 citations). Ming Ai has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jun Cao, Li Kuang, Wo Wang, Jianmei Chen, Zhen Lv, Weidong Fang, Jianmei Chen, Li Kuang, Lan Hu and Xiaoming Xu. Their work appears in journals such as Frontiers in Psychiatry, Journal of Affective Disorders, Frontiers in Cellular Neuroscience, Behavioural Brain Research and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.

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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