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
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- Advanced Text Analysis Techniques 5
- Topic Modeling 4
- Sentiment Analysis and Opinion Mining 3
- 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)Electronics (2 papers)Personal and Ubiquitous Computing (2 papers)Information Technology and Management (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)
- Partner nations
- South KoreaJapanEstonia
In The Last Decade
Jaechoon Jo
32 papers receiving 322 citations
Peers
Comparison fields: 5 of 75
- Computer Science Applications 58
- Information Systems 138
- Developmental and Educational Psychology 46
- Artificial Intelligence 97
- Computer Vision and Pattern Recognition 56
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 16 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 | 52 | |
| 2 | 2020 | 51 | |
| 3 | 2017 | 39 | |
| 4 | 2020 | 30 | |
| 5 | 2015 | 21 | |
| 6 | 2014 | 19 | |
| 7 | 2016 | 18 | |
| 8 | 2015 | 17 | |
| 9 | 2018 | 12 | |
| 10 | 2015 | 10 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 7 | |
| 14 | A Conceptual Model of Smart Education Considering Teaching-Learning Activities and Learner's Characteristics | 2012 | 6 |
| 15 | 2019 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2022 | 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 349 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), Recommender Systems and Techniques (4 papers), Topic Modeling (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Diverse Approaches in Healthcare and Education Studies (3 papers). The work is most often cited by research in Computer Science Applications (58 citations), Information Systems (138 citations), Developmental and Educational Psychology (46 citations), Artificial Intelligence (97 citations) and Computer Vision and Pattern Recognition (56 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 Soomin Lee. Their work appears in journals such as Wireless Personal Communications, Electronics, Personal and Ubiquitous Computing, Information Technology and Management and International Journal of Machine Learning and Cybernetics.
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.