Pey‐Yan Liou
- Education top 5%
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 10%
- Developmental and Educational Psychology top 5%
- Safety Research top 5%
- Co-authors
- John J. H. LinFrances LawrenzMark L. DavisonErnest C. DavenportOkan BulutEric Zhi Feng LiuShaljan AreepattamannilSufen Chen
- Topics
- Education, Achievement, and Giftedness (15 papers)Educational Strategies and Epistemologies (10 papers)Motivation and Self-Concept in Sports (10 papers)
- Partner nations
- TaiwanSouth KoreaUnited States
In The Last Decade
Pey‐Yan Liou
35 papers receiving 534 citations
Peers
Comparison fields: 5 of 75
- Education 300
- Experimental and Cognitive Psychology 206
- Social Psychology 172
- Developmental and Educational Psychology 152
- Safety Research 73
Countries citing papers authored by Pey‐Yan Liou
This map shows the geographic impact of Pey‐Yan Liou'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 Pey‐Yan Liou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pey‐Yan Liou more than expected).
Fields of papers citing papers by Pey‐Yan Liou
This network shows the impact of papers produced by Pey‐Yan Liou. 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 Pey‐Yan Liou. The network helps show where Pey‐Yan Liou may publish in the future.
Co-authorship network of co-authors of Pey‐Yan Liou
This figure shows the co-authorship network connecting the top 25 collaborators of Pey‐Yan Liou. A scholar is included among the top collaborators of Pey‐Yan Liou 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 Pey‐Yan Liou. Pey‐Yan Liou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 15 | |
| 7 | 4 | |
| 8 | 30 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 50 | |
| 12 | 3 | |
| 13 | 18 | |
| 14 | 38 | |
| 15 | 5 | |
| 16 | 21 | |
| 17 | 13 | |
| 18 | A Model Comparison for Count Data with a Positively Skewed Distribution with an Application to the Number of University Mathematics Courses Completed | 1 |
| 19 | Using Factor Analysis and Hierarchical Linear Modeling to Analyze STEM Majors' Perceptions of the Commitment to Teach in High Need Schools Survey. | 2 |
| 20 | 1 |
About Pey‐Yan Liou
Pey‐Yan Liou is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology and Leadership and Management, having authored 36 papers that have together received 550 indexed citations. Recurring topics across this work include Education, Achievement, and Giftedness (15 papers), Educational Strategies and Epistemologies (10 papers) and Motivation and Self-Concept in Sports (10 papers). The work is most often cited by research in Experimental and Cognitive Psychology (206 citations), Developmental and Educational Psychology (152 citations) and Education (300 citations). Pey‐Yan Liou has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include John J. H. Lin, Frances Lawrenz, Mark L. Davison, Ernest C. Davenport, Okan Bulut, Eric Zhi Feng Liu, Shaljan Areepattamannil, Sufen Chen, C. Desjardins and Jisun Jeong. Their work appears in journals such as Computers in Human Behavior, Frontiers in Psychology and Journal of Research in Science Teaching.
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.