Jaechoon Jo
Impact in
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- Online Learning and Analytics
- Information Systems top 5%
- Recommender Systems and Techniques
Papers in
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- Education and Learning Interventions 7
- Educational Systems and Policies 5
- Recommender Systems and Techniques 4
- Technology and Data Analysis 3
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- Advanced Text Analysis Techniques 5
- Topic Modeling 4
- Co-authors
- Heuiseok Lim (25 shared papers)Chanhee Lee (2 shared papers)Danial Hooshyar (5 shared papers)Gyeongmin Kim (4 shared papers)Yeongwook Yang (7 shared papers)Seolhwa Lee (4 shared papers)Kinam Park (1 shared paper)Kinam Park (2 shared papers)
- Journals
- Wireless Personal Communications (3 papers)Information Technology and Management (2 papers)Electronics (2 papers)Personal and Ubiquitous Computing (2 papers)Cognition Technology & Work (1 paper)
- Partner nations
- South KoreaJapanEstonia
In The Last Decade
Jaechoon Jo
33 papers receiving 333 citations
Peers
Comparison fields: 5 of 73
- Computer Science Applications 57
- Information Systems 136
- Developmental and Educational Psychology 46
- Artificial Intelligence 99
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Jaechoon Jo
This map shows the geographic impact of Jaechoon Jo'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 Jaechoon Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaechoon Jo more than expected).
Fields of papers citing papers by Jaechoon Jo
This network shows the impact of papers produced by Jaechoon Jo. 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 Jaechoon Jo. The network helps show where Jaechoon Jo may publish in the future.
Co-authors
The 15 scholars most cited alongside Jaechoon Jo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 55 | |
| 2 | 2020 | 53 | |
| 3 | 2017 | 40 | |
| 4 | 2020 | 31 | |
| 5 | 2015 | 22 | |
| 6 | 2014 | 19 | |
| 7 | 2015 | 17 | |
| 8 | 2016 | 17 | |
| 9 | 2018 | 12 | |
| 10 | 2015 | 10 | |
| 11 | 2020 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2019 | 6 | |
| 15 | 2018 | 6 | |
| 16 | A Conceptual Model of Smart Education Considering Teaching-Learning Activities and Learner's Characteristics | 2012 | 5 |
| 17 | 2017 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2018 | 3 |
About Jaechoon Jo
Jaechoon Jo is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Science Applications and Education, having authored 39 papers that have together received 358 indexed citations. Recurring topics across this work include Education and Learning Interventions (7 papers), Online Learning and Analytics (7 papers), Educational Systems and Policies (5 papers), Advanced Text Analysis Techniques (5 papers), Topic Modeling (4 papers), Recommender Systems and Techniques (4 papers), Technology and Data Analysis (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Computer Science Applications (57 citations), Information Systems (136 citations), Developmental and Educational Psychology (46 citations), Artificial Intelligence (99 citations) and Computer Vision and Pattern Recognition (57 citations). Jaechoon Jo has collaborated with scholars based in South Korea, Japan and Estonia. Frequent co-authors include Heuiseok Lim, Chanhee Lee, Danial Hooshyar, Gyeongmin Kim, Yeongwook Yang, Seolhwa Lee, Kinam Park, Kinam Park, Daniel Lee and Chanjun Park. Their work appears in journals such as Wireless Personal Communications, Information Technology and Management, Electronics, Personal and Ubiquitous Computing and Cognition Technology & Work.
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.