Peipei Mao

508 citations
8 papers · 293 · 1 hit paper · h-index 7

Impact in

Papers in

Peipei Mao

8 papers receiving 286 citations

Peipei Mao's Hit Papers

Associations Between Problematic Internet Use and Mental Health Outcomes of Students: A Meta-analytic Review 2023 · 91 citations
910+1+2Years since publication255075

Peers

Peipei Mao
Comparison fields: 5 of 57
  • Developmental and Educational Psychology 95
  • Computer Science Applications 40
  • Education 88
  • Applied Psychology 12
  • Sociology and Political Science 81
Replace Juan Miguel Fernández Campoy with:
Juan Miguel Fernández Campoy Spain
Boaventura DaCosta South Korea
Linda De George‐Walker Australia
Jhen-Ni Ye Taiwan
Youn‐Jeng Choi United States
Hui-Ching Kayla Hsu United States
Karim Shateri Iran
Katharina Jahn Germany
Mark J. Chin United States
Weimin Toh Singapore
Peipei Mao relative to Juan Miguel Fernández Campoy Spain Juan Miguel Fernández Campoy's profile →
Citations per field
00.5×3.4×
Juan Miguel Fernández Campoy · 1×
Citations per year

Countries citing papers authored by Peipei Mao

Since Specialization
Citations

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

Fields of papers citing papers by Peipei Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Peipei Mao, 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 Peipei Mao Line = papers co-authored together Peipei Mao links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Associations Between Problematic Internet Use and Mental Health Outcomes of Students: A Meta-analytic Review
Hit paper breakdown →
202391
2 202268
3 202151
4 202331
5 202122
6 202316
7 202412
8 20242

About Peipei Mao

Peipei Mao is a scholar working on Sociology and Political Science, Developmental and Educational Psychology, Education, Social Psychology and Clinical Psychology, having authored 8 papers that have together received 293 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (3 papers), Impact of Technology on Adolescents (3 papers), Educational Games and Gamification (2 papers), Digital Games and Media (2 papers), Motivation and Self-Concept in Sports (1 paper), Online and Blended Learning (1 paper), Consumer Behavior in Brand Consumption and Identification (1 paper) and Consumer Retail Behavior Studies (1 paper). The work is most often cited by research in Developmental and Educational Psychology (95 citations), Computer Science Applications (40 citations), Education (88 citations), Applied Psychology (12 citations) and Sociology and Political Science (81 citations). Peipei Mao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhihui Cai, Xitao Fan, Jinbo He, Dandan Wang, Xinjie Chen, Xin Hao, Xiaojun Sun, Robert H. Tai, Han Yang and Caiyan Liu. Their work appears in journals such as Frontiers in Psychology, Educational Research Review, Adolescent Research Review, Journal of Affective Disorders and Children and Youth Services Review.

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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