Ji Hyun Yu
- Education top 5%
- Computer Science Applications top 2%
- Developmental and Educational Psychology top 10%
- Information Systems top 10%
- Sociology and Political Science
- Co-authors
- Il‐Hyun JoYeonjeong ParkBrenda CapobiancoSunnie Lee WatsonWilliam R. WatsonBrian F. FrenchHamdan AlamriWei Liu
- Topics
- Online Learning and Analytics (11 papers)E-Learning and Knowledge Management (6 papers)Online and Blended Learning (5 papers)
- Partner nations
- United StatesNew ZealandSouth Korea
In The Last Decade
Ji Hyun Yu
31 papers receiving 485 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Education 229
- Computer Science Applications 180
- Developmental and Educational Psychology 97
- Information Systems 94
- Sociology and Political Science 57
Countries citing papers authored by Ji Hyun Yu
This map shows the geographic impact of Ji Hyun Yu'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 Ji Hyun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Hyun Yu more than expected).
Fields of papers citing papers by Ji Hyun Yu
This network shows the impact of papers produced by Ji Hyun Yu. 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 Ji Hyun Yu. The network helps show where Ji Hyun Yu may publish in the future.
Co-authorship network of co-authors of Ji Hyun Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Ji Hyun Yu. A scholar is included among the top collaborators of Ji Hyun Yu 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 Ji Hyun Yu. Ji Hyun Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Investigating the higher education institutions’ guidelines and policies regarding the use of generative AI in teaching, learning, research, and administrationbreakdown → | 21 |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 25 | |
| 9 | Wisdom and Successful Aging: Developing a Social Media Tool for the Benefit of Society | 1 |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | Validity and reliability of the Chinese version of the Devereux Early Childhood Assessment for Preschoolers Second Edition | 4 |
| 15 | 111 | |
| 16 | 22 | |
| 17 | 59 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | Galileo Optical Experiment (GOPEX) optical train: Design and validation at the Table Mountain Facility | 2 |
About Ji Hyun Yu
Ji Hyun Yu is a scholar working on Computer Science Applications, Human Factors and Ergonomics and Health Informatics, having authored 34 papers that have together received 525 indexed citations. Recurring topics across this work include Online Learning and Analytics (11 papers), E-Learning and Knowledge Management (6 papers) and Online and Blended Learning (5 papers). The work is most often cited by research in Computer Science Applications (180 citations), Architecture (12 citations) and Education (229 citations). Ji Hyun Yu has collaborated with scholars based in United States, New Zealand and South Korea. Frequent co-authors include Il‐Hyun Jo, Yeonjeong Park, Brenda Capobianco, Sunnie Lee Watson, William R. Watson, Brian F. French, Hamdan Alamri, Wei Liu, Timothy J. Newby and Peggy A. Ertmer. Their work appears in journals such as Computers & Education, Journal of the Association for Information Systems and Higher Education.
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.