Junming Dai
- Clinical Psychology top 1%
- COVID-19 and Mental Health 5
- Applied Psychology top 1%
- Health top 2%
- Health disparities and outcomes 8
- Modeling and Simulation top 2%
- Social Psychology top 2%
- Psychological Well-being and Life Satisfaction 4
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- Workplace Health and Well-being 12
- Employment and Welfare Studies 12
- Health, psychology, and well-being 4
- Health and Wellbeing Research 4
- Healthcare professionals’ stress and burnout 4
- Co-authors
- Hua FuJunling GaoYingnan JiaYimeng MaoSuhong ChenHao ChenPinpin ZhengYi Wang
- Journals
- BMC Public Health (6 papers)International Health (5 papers)International Journal of Environmental Research and Public Health (4 papers)
- Partner nations
- ChinaUnited KingdomSpain
In The Last Decade
Junming Dai
39 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Clinical Psychology 1.8k
- Applied Psychology 388
- Health 371
- Modeling and Simulation 177
- Social Psychology 565
Countries citing papers authored by Junming Dai
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 1 | |
| 6 | Mental health problems and social media exposure during COVID-19 outbreakbreakdown → | 2020 | 1908 |
| 7 | 2020 | 8 | |
| 8 | 2019 | 18 | |
| 9 | 2019 | 25 | |
| 10 | 2019 | 8 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 19 | |
| 13 | 2019 | 38 | |
| 14 | 2019 | 26 | |
| 15 | 2019 | 24 | |
| 16 | 2018 | 13 | |
| 17 | 2018 | 11 | |
| 18 | [Studies on occupational stress intervention in workplaces abroad: a systematic review]. | 2015 | 0 |
| 19 | [Association between occupational stress and presenteeism among medical staff at grade A tertiary hospitals in Shanghai, China]. | 2015 | 2 |
| 20 | 2014 | 103 |
About Junming Dai
Junming Dai is a scholar working on Health, General Health Professions, Clinical Psychology, Applied Psychology and Social Psychology, having authored 44 papers that have together received 2.9k indexed citations. Recurring topics across this work include Workplace Health and Well-being (12 papers), Employment and Welfare Studies (12 papers), Health disparities and outcomes (8 papers), COVID-19 and Mental Health (5 papers), Psychological Well-being and Life Satisfaction (4 papers), Health, psychology, and well-being (4 papers), Health and Wellbeing Research (4 papers) and Healthcare professionals’ stress and burnout (4 papers). The work is most often cited by research in Clinical Psychology (1.8k citations), Applied Psychology (388 citations), Health (371 citations), Modeling and Simulation (177 citations) and Social Psychology (565 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 BMJ Open.
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.