Junming Dai

4.3k citations
40 papers · 3.0k · 2 hit papers · h-index 16

Impact in

Papers in

Junming Dai

38 papers receiving 2.9k citations

Junming Dai's Hit Papers

Mental health problems and social media exposure during COVID-19 outbreak 2020 · 2.0k citations
2.0k0+2+4Years since publication50010001.5k

Peers

Junming Dai
Comparison fields: 5 of 149
  • Clinical Psychology 1.6k
  • Applied Psychology 300
  • Health 260
  • Modeling and Simulation 134
  • Social Psychology 446
Replace Yingnan Jia with:
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Junming Dai relative to Yingnan Jia China Yingnan Jia's profile →
Citations per field
00.5×1.5×
Yingnan Jia · 1×
Citations per year

Countries citing papers authored by Junming Dai

Since Specialization
Citations

This map shows the geographic impact of Junming Dai'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 Junming Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junming Dai more than expected).

Fields of papers citing papers by Junming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junming Dai. 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 Junming Dai. The network helps show where Junming Dai may publish in the future.

Co-authors

The 25 scholars most cited alongside Junming Dai, 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 Junming Dai Line = papers co-authored together Junming Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mental health problems and social media exposure during COVID-19 outbreak
Hit paper breakdown →
20201980
2
Mental Health Problems and Social Media Exposure During COVID-19 Outbreak
Hit paper breakdown →
2020376
3 2014106
4 202194
5 201455
6 201941
7 201729
8 201926
9 201926
10 201924
11 201822
12 202121
13 201919
14 201519
15 201918
16 201417
17 202114
18
[Analysis on the association between job stress factors and depression symptoms].
201013
19 201813
20 201713

About Junming Dai

Junming Dai is a scholar working on General Health Professions, Clinical Psychology, Health, Social Psychology and Applied Psychology, having authored 40 papers that have together received 3.0k indexed citations. Recurring topics across this work include Workplace Health and Well-being (8 papers), COVID-19 and Mental Health (5 papers), Employment and Welfare Studies (4 papers), Health disparities and outcomes (4 papers), Healthcare professionals’ stress and burnout (3 papers), Health and Wellbeing Research (3 papers), Psychological Well-being and Life Satisfaction (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Clinical Psychology (1.6k citations), Applied Psychology (300 citations), Health (260 citations), Modeling and Simulation (134 citations) and Social Psychology (446 citations). Junming Dai has collaborated with scholars based in China, United Kingdom and Spain. Frequent co-authors include Hua Fu, Junling Gao, Yingnan Jia, Yimeng Mao, Suhong Chen, Hao Chen, Pinpin Zheng, Yi Wang, Yi Wang and Liqian Zhang. Their work appears in journals such as BMC Public Health, International Health, International Journal of Environmental Research and Public Health, PLoS ONE and Ergonomics.

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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