Yan Huo

713 citations
12 papers · 466 indexed · 1 hit paper · h-index 8
Topics
Advanced Statistical Modeling Techniques (3 papers)Substance Abuse Treatment and Outcomes (3 papers)Psychometric Methodologies and Testing (3 papers)

In The Last Decade

Yan Huo

12 papers receiving 440 citations

Hit Papers

The impact of eSports and online video gaming on lifestyl...20212026202220242021255075100

Peers

Yan Huo
Comparison fields: 5 of 89
  • Clinical Psychology 139
  • Epidemiology 104
  • Sociology and Political Science 103
  • Experimental and Cognitive Psychology 103
  • Applied Psychology 60
Replace Samuel H. Rikoon with:
Samuel H. Rikoon United States
Elia Abi‐Jaoude Canada
Brian T. Pace United States
Jason Grossman United States
Garth W. Martin Canada
Veronica T. Cole United States
Franziska Schreiber Germany
Allyson Washburn United States
Cassandra L. Boness United States
Alexis Revet France
Yan Huo relative to Samuel H. Rikoon United States Samuel H. Rikoon's profile →
Citations per field
00.5×1.5×2.2×
Samuel H. Rikoon · 1×
Citations per year

Countries citing papers authored by Yan Huo

Since Specialization
Citations

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

Fields of papers citing papers by Yan Huo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Huo

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2
The impact of eSports and online video gaming on lifestyle behaviours in youth: A systematic reviewbreakdown →
104
3 131
4 112
5 8
6 1
7 5
8 50
9 24
10 20
11 1
12 9

About Yan Huo

Yan Huo is a scholar working on Applied Psychology, Statistics and Probability and Management Science and Operations Research, having authored 12 papers that have together received 466 indexed citations. Recurring topics across this work include Advanced Statistical Modeling Techniques (3 papers), Substance Abuse Treatment and Outcomes (3 papers) and Psychometric Methodologies and Testing (3 papers). The work is most often cited by research in Applied Psychology (60 citations), Experimental and Cognitive Psychology (103 citations) and Toxicology (25 citations). Yan Huo has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Janni Leung, Jimmy de la Torre, Carmen Lim, Matthew J. Gullo, Gary Chan, Sarah Kelly, Calvert Tisdale, Sukanta Saha, John J. McGrath and Danielle Cannon. Their work appears in journals such as The Lancet, Computers in Human Behavior and Frontiers in Psychology.

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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