Meehyun Yoon
- Computer Science Applications top 0.5%
- Education top 2%
- Developmental and Educational Psychology top 5%
- Information Systems top 10%
- Artificial Intelligence
- Co-authors
- Il‐Hyun JoDongho KimJungeun LeeEulho JungSanghoon ParkRobert Maribe BranchYeonjeong ParkJanette R. Hill
- Topics
- Online Learning and Analytics (10 papers)Innovative Teaching and Learning Methods (10 papers)Online and Blended Learning (10 papers)
- Journals
- Computers & EducationThe Internet and Higher EducationJournal of Computer Assisted Learning
- Partner nations
- South KoreaUnited States
In The Last Decade
Meehyun Yoon
17 papers receiving 624 citations
Peers
Comparison fields: 5 of 60
- Computer Science Applications 411
- Education 390
- Developmental and Educational Psychology 224
- Information Systems 100
- Artificial Intelligence 86
Countries citing papers authored by Meehyun Yoon
This map shows the geographic impact of Meehyun Yoon'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 Meehyun Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meehyun Yoon more than expected).
Fields of papers citing papers by Meehyun Yoon
This network shows the impact of papers produced by Meehyun Yoon. 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 Meehyun Yoon. The network helps show where Meehyun Yoon may publish in the future.
Co-authorship network of co-authors of Meehyun Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Meehyun Yoon. A scholar is included among the top collaborators of Meehyun Yoon 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 Meehyun Yoon. Meehyun Yoon 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 | 9 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 81 | |
| 7 | 20 | |
| 8 | 61 | |
| 9 | 0 | |
| 10 | 97 | |
| 11 | 0 | |
| 12 | 11 | |
| 13 | Analyzing the log patterns of adult learners in LMS using learning analytics | 1 |
| 14 | 80 | |
| 15 | 112 | |
| 16 | 22 | |
| 17 | 74 | |
| 18 | Constructing Proxy Variables to Measure Adult Learners' Time Management Strategies in LMS. | 39 |
| 19 | Effects of Communication Competence and Social Network Centralities on Learner Performance | 6 |
| 20 | 34 |
About Meehyun Yoon
Meehyun Yoon is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Leadership and Management, having authored 20 papers that have together received 660 indexed citations. Recurring topics across this work include Online Learning and Analytics (10 papers), Innovative Teaching and Learning Methods (10 papers) and Online and Blended Learning (10 papers). The work is most often cited by research in Computer Science Applications (411 citations), Developmental and Educational Psychology (224 citations) and Education (390 citations). Meehyun Yoon has collaborated with scholars based in South Korea and United States. Frequent co-authors include Il‐Hyun Jo, Dongho Kim, Jungeun Lee, Dongho Kim, Eulho Jung, Sanghoon Park, Robert Maribe Branch, Yeonjeong Park, Janette R. Hill and Barbara Oakley. Their work appears in journals such as Computers & Education, The Internet and Higher Education and Journal of Computer Assisted Learning.
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.