Jui-Long Hung
- Computer Science Applications top 0.5%
- Online Learning and Analytics 27
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- Innovative Teaching and Learning Methods 18
- Education top 2%
- Online and Blended Learning 16
- Information Systems top 2%
- Educational Technology and Assessment 3
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- Intelligent Tutoring Systems and Adaptive Learning 5
- Imbalanced Data Classification Techniques 3
- Data Stream Mining Techniques 3
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- Visual and Cognitive Learning Processes 3
- Cited by
- Computer Science ApplicationsDevelopmental and Educational PsychologyManagement Information Systems
- Journals
- IEEE Transactions on Learning Technologies (3 papers)Distance Education (3 papers)Education and Information Technologies (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Jui-Long Hung
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Computer Science Applications 585
- Developmental and Educational Psychology 218
- Management Information Systems 139
- Education 412
- Information Systems 299
Countries citing papers authored by Jui-Long Hung
This map shows the geographic impact of Jui-Long Hung'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 Jui-Long Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui-Long Hung more than expected).
Fields of papers citing papers by Jui-Long Hung
This network shows the impact of papers produced by Jui-Long Hung. 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 Jui-Long Hung. The network helps show where Jui-Long Hung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jui-Long Hung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 20 | |
| 7 | 2022 | 26 | |
| 8 | 2021 | 5 | |
| 9 | 2016 | 57 | |
| 10 | A case study on learning analytics using Experience API | 2015 | 3 |
| 11 | Data mining in Online Professional Development Program Evaluation: An Exploratory Case Study | 2015 | 4 |
| 12 | 2015 | 77 | |
| 13 | 2015 | 2 | |
| 14 | An Empirical Study of Guarantee in Service E-Commerce | 2013 | 1 |
| 15 | Integrating Data Mining in Program Evaluation of K-12 Online Education | 2012 | 46 |
| 16 | Global Themes and Future Trends of Mobile Learning: Data Mining of Publications in AACE EDITLib Digital Library Database | 2011 | 1 |
| 17 | E-Learning in Supplemental Educational Systems in Taiwan: Present Status and Future Challenges | 2009 | 4 |
| 18 | 2009 | 41 | |
| 19 | Computer-Based Instruction and Cognitive Load | 2008 | 3 |
| 20 | Data Mining Applications to Online Learning | 2006 | 3 |
About Jui-Long Hung
Jui-Long Hung is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Education, Information Systems and Artificial Intelligence, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Online Learning and Analytics (27 papers), Innovative Teaching and Learning Methods (18 papers), Online and Blended Learning (16 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Visual and Cognitive Learning Processes (3 papers), Educational Technology and Assessment (3 papers), Imbalanced Data Classification Techniques (3 papers) and Data Stream Mining Techniques (3 papers). The work is most often cited by research in Computer Science Applications (585 citations), Developmental and Educational Psychology (218 citations), Management Information Systems (139 citations), Education (412 citations) and Information Systems (299 citations). Jui-Long Hung has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Xu Du, Ke Zhang, Brett E. Shelton, Juan Yang, Wu He, Yu‐Chang Hsu, Kerry Rice, Jiancheng Shen, Patrick R. Lowenthal and Yu‐Hui Ching. Their work appears in journals such as IEEE Transactions on Learning Technologies, Distance Education, Education and Information Technologies, IEEE Access and Educational Technology Research and Development.
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.