Jui-Long Hung

50 papers receiving 1.1k citations

Peers

Jui-Long Hung
Comparison fields: 5 of 99
  • Computer Science Applications 585
  • Developmental and Educational Psychology 218
  • Management Information Systems 139
  • Education 412
  • Information Systems 299
Replace Anuradha Mathrani with:
Anuradha Mathrani New Zealand
Mohamed Amine Chatti Germany
Jarkko Suhonen Finland
Zaidatun Tasir Malaysia
Zacharoula Papamitsiou Greece
Uwe Matzat Netherlands
Edmundo Tovar Spain
Alicia García‐Holgado Spain
Olga Viberg Sweden
Roslina Ibrahim Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Jui-Long Hung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jui-Long Hung Line = papers co-authored together Jui-Long Hung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010146
2
Revealing Online Learning Behaviors and Activity Patterns and Making Predictions with Data Mining Techniques in Online Teaching
2008100
3 201983
4 201577
5 201770
6 201366
7 201965
8 201657
9 202047
10
Integrating Data Mining in Program Evaluation of K-12 Online Education
201246
11 201544
12 201942
13 200941
14 202032
15 201929
16 202226
17 200925
18 202320
19 202019
20 202219

About Jui-Long Hung

Jui-Long Hung is a scholar working on Computer Science Applications, Education, Developmental and Educational Psychology, Artificial Intelligence and Information Systems, 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), Educational Technology and Assessment (3 papers), Imbalanced Data Classification Techniques (3 papers), Data Stream Mining Techniques (3 papers) and Visual and Cognitive Learning Processes (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.

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