Songli Mei

2.9k citations
75 papers · 2.0k indexed · 1 hit paper · h-index 20
Topics
Impact of Technology on Adolescents (22 papers)COVID-19 and Mental Health (14 papers)Child and Adolescent Psychosocial and Emotional Development (12 papers)

In The Last Decade

Songli Mei

67 papers receiving 1.9k citations

Hit Papers

The Effect of COVID-19 on Youth Mental Health20202026202220242020200400600

Peers

Songli Mei
Comparison fields: 5 of 128
  • Clinical Psychology 1.1k
  • Sociology and Political Science 750
  • Social Psychology 450
  • Experimental and Cognitive Psychology 327
  • Education 312
Replace Xinli Chi with:
Xinli Chi China
Matthew Bambling Australia
Jeffrey Altman United States
Melissa A. Mitchell United States
Sarah Marshall Australia
Silvia Biondi Italy
Yimeng Mao China
Danielle Arigo United States
Inmaculada Montoya‐Castilla Spain
Songli Mei relative to Xinli Chi China Xinli Chi's profile →
Citations per field
00.5×1.5×2.4×
Xinli Chi · 1×
Citations per year

Countries citing papers authored by Songli Mei

Since Specialization
Citations

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

Fields of papers citing papers by Songli Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songli Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Songli Mei. A scholar is included among the top collaborators of Songli Mei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Songli Mei. Songli Mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 5
5 1
6 2
7 6
8 7
9 2
10 1
11 3
12 0
13 3
14 6
15 24
16 2
17 2
18 98
19 32
20
Subjective Well-being and Internet Addiction of Adolescents:Mediating Roles of Self-esteem and Self-control
6

About Songli Mei

Songli Mei is a scholar working on Applied Psychology, Clinical Psychology and Experimental and Cognitive Psychology, having authored 75 papers that have together received 2.0k indexed citations. Recurring topics across this work include Impact of Technology on Adolescents (22 papers), COVID-19 and Mental Health (14 papers) and Child and Adolescent Psychosocial and Emotional Development (12 papers). The work is most often cited by research in Applied Psychology (286 citations), Clinical Psychology (1.1k citations) and Experimental and Cognitive Psychology (327 citations). Songli Mei has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Leilei Liang, Zeying Qin, Yueyang Hu, Ruilin Cao, Chuanen Li, Hui Ren, Tingting Gao, Li Li, Yixi Kong and Jingxin Chai. Their work appears in journals such as PLoS ONE, Personality and Individual Differences and Journal of Affective Disorders.

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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