Yan Huo

713 total citations · 1 hit paper
12 papers, 466 citations indexed

About

Yan Huo is a scholar working on Computer Networks and Communications, Social Psychology and Epidemiology. According to data from OpenAlex, Yan Huo has authored 12 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Social Psychology and 3 papers in Epidemiology. Recurrent topics in Yan Huo's work include Advanced Statistical Modeling Techniques (3 papers), Substance Abuse Treatment and Outcomes (3 papers) and Psychometric Methodologies and Testing (3 papers). Yan Huo is often cited by papers focused on Advanced Statistical Modeling Techniques (3 papers), Substance Abuse Treatment and Outcomes (3 papers) and Psychometric Methodologies and Testing (3 papers). Yan Huo collaborates with scholars based in United States, Australia and Japan. Yan Huo's 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 and has published in prestigious journals such as The Lancet, Computers in Human Behavior and Frontiers in Psychology.

In The Last Decade

Yan Huo

12 papers receiving 440 citations

Hit Papers

The impact of eSports and online video gaming on lifestyl... 2021 2026 2022 2024 2021 25 50 75 100

Peers

Yan Huo
Guo Song Singapore
Colin OʼGara United Kingdom
Jessica G. Irons United States
Cassandra L. Boness United States
Müge Bozkurt Türkiye
David H. Morris United States
Minje Sung South Korea
Jennifer B. Zogg United States
Adam M. Leventhal United States
Guo Song Singapore
Yan Huo
Citations per year, relative to Yan Huo Yan Huo (= 1×) peers Guo Song

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
1.
Lim, Carmen, Yan Huo, Vivian Chiu, Hisateru Tachimori, & Janni Leung. (2021). Psychological distress and the experience of self-restrained lifestyle through COVID-19 in Japan – public insights from #Coronavirus-depression on Twitter. 9018–9018. 1 indexed citations
2.
Chan, Gary, Yan Huo, Sarah Kelly, et al.. (2021). The impact of eSports and online video gaming on lifestyle behaviours in youth: A systematic review. Computers in Human Behavior. 126. 106974–106974. 104 indexed citations breakdown →
3.
Saha, Sukanta, et al.. (2020). Co‐morbidity between mood and anxiety disorders: A systematic review and meta‐analysis. Depression and Anxiety. 38(3). 286–306. 131 indexed citations
4.
McKetin, Rebecca, Janni Leung, Emily Stockings, et al.. (2019). Mental health outcomes associated with the use of amphetamines: A systematic review and meta-analysis. EClinicalMedicine. 16. 81–97. 112 indexed citations
5.
Mun, Eun‐Young, Yan Huo, Helene R. White, Sumihiro Suzuki, & Jimmy de la Torre. (2019). Multivariate Higher-Order IRT Model and MCMC Algorithm for Linking Individual Participant Data From Multiple Studies. Frontiers in Psychology. 10. 1328–1328. 8 indexed citations
7.
Huo, Yan, et al.. (2017). Evaluating the Stability of Test Score Means for the TOEIC® Speaking and Writing Tests. ETS Research Report Series. 2017(1). 1–8. 5 indexed citations
8.
Mun, Eun‐Young, Jimmy de la Torre, David C. Atkins, et al.. (2014). Project INTEGRATE: An integrative study of brief alcohol interventions for college students.. Psychology of Addictive Behaviors. 29(1). 34–48. 50 indexed citations
9.
Huo, Yan, Jimmy de la Torre, Eun‐Young Mun, et al.. (2014). A Hierarchical Multi-Unidimensional IRT Approach for Analyzing Sparse, Multi-Group Data for Integrative Data Analysis. Psychometrika. 80(3). 834–855. 24 indexed citations
10.
Huo, Yan & Jimmy de la Torre. (2014). Estimating a Cognitive Diagnostic Model for Multiple Strategies via the EM Algorithm. Applied Psychological Measurement. 38(6). 464–485. 20 indexed citations
11.
Huo, Yan, et al.. (2013). Study on Prediction Model to Terminal Demand Based on Improved Genetic Neural Network. Advanced materials research. 798-799. 506–509. 1 indexed citations
12.
Huo, Yan & David V. Budescu. (2009). An Extension of Dominance Analysis to Canonical Correlation Analysis. Multivariate Behavioral Research. 44(5). 688–709. 9 indexed citations

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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