Yeol Huh
- Education top 5%
- Developmental and Educational Psychology top 10%
- Computer Science Applications top 5%
- Information Systems top 10%
- Artificial Intelligence
- Co-authors
- Charles M. ReigeluthDabae LeeChun‐Yi LinSinem AslanEunbae LeeWilliam R. WatsonSunnie Lee WatsonDonggil Song
- Topics
- Online and Blended Learning (8 papers)Innovative Teaching and Learning Methods (8 papers)Experimental Learning in Engineering (3 papers)
- Journals
- Educational Technology Research and DevelopmentInstructional ScienceJournal of Educational Computing Research
- Partner nations
- United StatesTaiwanSouth Korea
In The Last Decade
Yeol Huh
17 papers receiving 281 citations
Peers
Comparison fields: 5 of 55
- Education 181
- Developmental and Educational Psychology 101
- Computer Science Applications 82
- Information Systems 69
- Artificial Intelligence 28
Countries citing papers authored by Yeol Huh
This map shows the geographic impact of Yeol Huh'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 Yeol Huh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeol Huh more than expected).
Fields of papers citing papers by Yeol Huh
This network shows the impact of papers produced by Yeol Huh. 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 Yeol Huh. The network helps show where Yeol Huh may publish in the future.
Co-authorship network of co-authors of Yeol Huh
This figure shows the co-authorship network connecting the top 25 collaborators of Yeol Huh. A scholar is included among the top collaborators of Yeol Huh 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 Yeol Huh. Yeol Huh 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 19 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 60 | |
| 11 | 24 | |
| 12 | 15 | |
| 13 | 18 | |
| 14 | 111 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | 5 | |
| 18 | New Paradigm Schools: A National Survey | 1 |
| 19 | The Role of Personalized Integrated Educational Systems in the Information-Age Paradigm of Education | 4 |
| 20 | 8 |
About Yeol Huh
Yeol Huh is a scholar working on Developmental and Educational Psychology, Education and Computer Science Applications, having authored 20 papers that have together received 306 indexed citations. Recurring topics across this work include Online and Blended Learning (8 papers), Innovative Teaching and Learning Methods (8 papers) and Experimental Learning in Engineering (3 papers). The work is most often cited by research in Computer Science Applications (82 citations), Developmental and Educational Psychology (101 citations) and Education (181 citations). Yeol Huh has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Charles M. Reigeluth, Dabae Lee, Chun‐Yi Lin, Sinem Aslan, Eunbae Lee, William R. Watson, Sunnie Lee Watson, Donggil Song, Michael M. Grant and Young Hoan Cho. Their work appears in journals such as Educational Technology Research and Development, Instructional Science and Journal of Educational Computing Research.
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.