Jui-Feng Weng

484 citations
21 papers · 308 · h-index 10

Impact in

Papers in

Jui-Feng Weng

20 papers receiving 277 citations

Peers

Jui-Feng Weng
Comparison fields: 5 of 48
  • Computer Science Applications 123
  • Information Systems 183
  • Developmental and Educational Psychology 51
  • Artificial Intelligence 125
  • Software 9
Replace Keith Irwin with:
Keith Irwin United States
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Luis de‐la‐Fuente‐Valentín Spain
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Tzone I. Wang Taiwan
Francisco Jurado Spain
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Citations per field
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Citations per year

Countries citing papers authored by Jui-Feng Weng

Since Specialization
Citations

This map shows the geographic impact of Jui-Feng Weng'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-Feng Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui-Feng Weng more than expected).

Fields of papers citing papers by Jui-Feng Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui-Feng Weng. 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-Feng Weng. The network helps show where Jui-Feng Weng may publish in the future.

Co-authors

The 9 scholars most cited alongside Jui-Feng Weng, 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-Feng Weng Line = papers co-authored together Jui-Feng Weng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200571
2 200944
3 200539
4
Learning Portfolio Analysis and Mining for SCORM Compliant Environment.
200634
5 200423
6 201116
7 201214
8 201111
9 200510
10 20109
11
Design and Implementation of an Object Oriented Learning Activity System
20068
12 20108
13 20075
14 20084
15 20103
16 20093
17 20072
18 20052
19
Designing a U-Museum Service Framework to Bridge Digital Learning Divide
20081
20 20091

About Jui-Feng Weng

Jui-Feng Weng is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Developmental and Educational Psychology and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 308 indexed citations. Recurring topics across this work include Online Learning and Analytics (5 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Innovative Teaching and Learning Methods (3 papers), Educational Games and Gamification (3 papers), Teaching and Learning Programming (3 papers), Business Process Modeling and Analysis (2 papers), Spam and Phishing Detection (2 papers) and Educational Technology and Assessment (2 papers). The work is most often cited by research in Computer Science Applications (123 citations), Information Systems (183 citations), Developmental and Educational Psychology (51 citations), Artificial Intelligence (125 citations) and Software (9 citations). Jui-Feng Weng has collaborated with scholars based in Taiwan. Frequent co-authors include Shian‐Shyong Tseng, Jun‐Ming Su, Tsung-Ju Lee, Wei Wang, Kai‐Yuan Chen, Yilin Liu, Kuan‐Ting Chen, Tyne Liang and Chia‐Yu Chen. Their work appears in journals such as Educational Technology & Society, Computers & Education, IEEE Transactions on Learning Technologies, Expert Systems with Applications and Computer Standards & Interfaces.

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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