Miao Chao

751 total citations · 2 hit papers
18 papers, 453 citations indexed

About

Miao Chao is a scholar working on Sociology and Political Science, Clinical Psychology and Social Psychology. According to data from OpenAlex, Miao Chao has authored 18 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 8 papers in Clinical Psychology and 5 papers in Social Psychology. Recurrent topics in Miao Chao's work include Impact of Technology on Adolescents (10 papers), COVID-19 and Mental Health (7 papers) and Technology Adoption and User Behaviour (4 papers). Miao Chao is often cited by papers focused on Impact of Technology on Adolescents (10 papers), COVID-19 and Mental Health (7 papers) and Technology Adoption and User Behaviour (4 papers). Miao Chao collaborates with scholars based in China, United States and Macao. Miao Chao's co-authors include Haibo Yang, Tour Liu, Brian J. Hall, Jing Lei, Xinying Li, Matt McGue, Peng Li, Xiaorui Liu, Jie Liu and Xiaorui Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychiatry Research and Alcoholism Clinical and Experimental Research.

In The Last Decade

Miao Chao

13 papers receiving 444 citations

Hit Papers

Media use and acute psychological outcomes during COVID-1... 2020 2026 2022 2024 2020 2023 50 100 150 200

Peers

Miao Chao
Comparison fields: 5 of 67
  • Clinical Psychology 261
  • Sociology and Political Science 185
  • Social Psychology 92
  • Experimental and Cognitive Psychology 73
  • Applied Psychology 62
Replace Adam Pettitt with:
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Federica Sciacca Italy
Alexander W. O’Donnell Australia
Maya K. Gordon United States
Fangfang Wen China
Emanuele Fino United Kingdom
Norman B. Mendoza Hong Kong
Jaïs Adam‐Troian France
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Adam Pettitt United States View profile →
Citations per field, relative to Miao Chao
Miao Chao · 1×
Citations per year, relative to Miao Chao
Miao Chao · 1×

Countries citing papers authored by Miao Chao

Since Specialization
Citations

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

Fields of papers citing papers by Miao Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Miao Chao. A scholar is included among the top collaborators of Miao Chao 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 Miao Chao. Miao Chao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 1
6 4
7 5
8 3
9 5
10
TikTok use and psychosocial factors among adolescents: Comparisons of non-users, moderate users, and addictive users breakdown →
73
11 0
12 1
13 6
14 14
15
Media use and acute psychological outcomes during COVID-19 outbreak in China breakdown →
204
16 28
17 89
18 20

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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