Jun‐Ming Su

651 citations
55 papers · 487 · h-index 11

Impact in

    • Online Learning and Analytics
    • Open Education and E-Learning
    • Educational Technology and Assessment
    • Data Mining Algorithms and Applications
    • Mobile Learning in Education
    • Recommender Systems and Techniques

Papers in

Jun‐Ming Su

42 papers receiving 452 citations

Peers

Jun‐Ming Su
Comparison fields: 5 of 70
  • Computer Science Applications 204
  • Information Systems 245
  • Developmental and Educational Psychology 85
  • Software 18
  • Artificial Intelligence 140
Replace Iván Ruiz‐Rube with:
Iván Ruiz‐Rube Spain
Thomas Way United States
Bahtijar Vogel Sweden
Edward R. Sykes Canada
Luisa M. Regueras Spain
Juan Pablo de Castro Fernández Spain
Rukshan Athauda Australia
Timo Hynninen Finland
Jui-Feng Weng Taiwan
Francisco J. Rodríguez‐Sedano Spain
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Citations per field
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Citations per year

Countries citing papers authored by Jun‐Ming Su

Since Specialization
Citations

This map shows the geographic impact of Jun‐Ming Su'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 Jun‐Ming Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Ming Su more than expected).

Fields of papers citing papers by Jun‐Ming Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Ming Su. 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 Jun‐Ming Su. The network helps show where Jun‐Ming Su may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun‐Ming Su, 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 Jun‐Ming Su Line = papers co-authored together Jun‐Ming Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200593
2 200545
3 201143
4
Learning Portfolio Analysis and Mining for SCORM Compliant Environment.
200642
5 200425
6 202024
7 201423
8 202318
9 201216
10 199116
11 200514
12 201711
13 201810
14
A content management scheme in a SCORM compliant learning object repository
20059
15
Design and Implementation of an Object Oriented Learning Activity System
20068
16
OPASS: An Online Portfolio Assessment and Diagnosis Scheme to Support Web-Based Scientific Inquiry Experiments.
20117
17 20077
18 20177
19 20156
20 20216

About Jun‐Ming Su

Jun‐Ming Su is a scholar working on Computer Science Applications, Information Systems, Developmental and Educational Psychology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 487 indexed citations. Recurring topics across this work include Online Learning and Analytics (13 papers), Teaching and Learning Programming (8 papers), Innovative Teaching and Learning Methods (8 papers), Educational Technology and Assessment (7 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers), Recommender Systems and Techniques (6 papers), Educational Games and Gamification (5 papers) and Open Education and E-Learning (5 papers). The work is most often cited by research in Computer Science Applications (204 citations), Information Systems (245 citations), Developmental and Educational Psychology (85 citations), Software (18 citations) and Artificial Intelligence (140 citations). Jun‐Ming Su has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shian‐Shyong Tseng, Jui-Feng Weng, Wen-Nung Tsai, Chun‐Han Chen, Philippe Ritter, Wei Wang, Chi‐Jane Wang, Chao Sun, Liuming Yan and Baohua Yue. Their work appears in journals such as Digital Health, Educational Technology & Society, Microwave and Optical Technology Letters, Computer Standards & Interfaces and Computer Applications in Engineering Education.

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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