Ju-Ling Shih

568 citations
37 papers · 344 · h-index 7

Impact in

Papers in

Ju-Ling Shih

30 papers receiving 313 citations

Peers

Ju-Ling Shih
Comparison fields: 5 of 62
  • Developmental and Educational Psychology 201
  • Computer Science Applications 72
  • Human-Computer Interaction 38
  • Information Systems 75
  • Sensory Systems 13
Replace Ioannis Deliyannis with:
Ioannis Deliyannis Greece
Eetu Haataja Finland
Pauliina Tuomi Finland
Han‐Chin Liu Taiwan
John W. Rice United States
Elena Patricia Núñez Castellar Belgium
Junjie Shang China
Cansu Oranç Türkiye
Antero Lindstedt Finland
Aishah Abdul Razak Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Ju-Ling Shih

Since Specialization
Citations

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

Fields of papers citing papers by Ju-Ling Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju-Ling Shih. 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 Ju-Ling Shih. The network helps show where Ju-Ling Shih may publish in the future.

Co-authors

The 25 scholars most cited alongside Ju-Ling Shih, 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 Ju-Ling Shih Line = papers co-authored together Ju-Ling Shih links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015112
2 201849
3 201045
4 201043
5 201721
6 20229
7 20109
8 20125
9 20135
10 20225
11 20124
12 20243
13 20103
14 20123
15 20103
16 20183
17 20022
18 20202
19 20132
20
The Curriculum Development for Global AGILE Problem-Based Learning in Social Entrepreneurship in Global Teams
20192

About Ju-Ling Shih

Ju-Ling Shih is a scholar working on Developmental and Educational Psychology, Information Systems, Education, Computer Science Applications and Social Psychology, having authored 37 papers that have together received 344 indexed citations. Recurring topics across this work include Educational Games and Gamification (14 papers), Innovative Teaching and Learning Methods (8 papers), Mobile Learning in Education (7 papers), Teaching and Learning Programming (5 papers), Digital Games and Media (4 papers), ICT in Developing Communities (3 papers), Online and Blended Learning (2 papers) and Virtual Reality Applications and Impacts (2 papers). The work is most often cited by research in Developmental and Educational Psychology (201 citations), Computer Science Applications (72 citations), Human-Computer Interaction (38 citations), Information Systems (75 citations) and Sensory Systems (13 citations). Ju-Ling Shih has collaborated with scholars based in Taiwan, Hong Kong and Singapore. Frequent co-authors include Gheorghiță Ghinea, Alexandra Covaci, Shu-Hsien Huang, Baw‐Jhiune Liu, Chen‐Chung Liu, Cheng–Ping Chen, Eric Zhi Feng Liu, Ming Ming Chiu, Ben Chang and Meilun Shih. Their work appears in journals such as Computers & Education, Research and Practice in Technology Enhanced Learning, Computers in Human Behavior, Multimedia Tools and Applications and International Journal of Distance Education Technologies.

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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