Chin‐Chung Tsai

37.6k citations
457 papers · 27.4k · 15 hit papers · h-index 92

Impact in

Papers in

    • Online and Blended Learning 126
    • Science Education and Pedagogy 83
    • Education and Critical Thinking Development 72
    • Innovative Teaching and Learning Methods 173
    • Educational Strategies and Epistemologies 138

Chin‐Chung Tsai

447 papers receiving 25.3k citations

Chin‐Chung Tsai's Hit Papers

Ten years of augmented reality in education: A meta-analysis of (quasi-) experimental studies to investigate the impact 2022 · 152 citations
1520+6+12Years since publication100200300400500

Peers

Chin‐Chung Tsai
Comparison fields: 5 of 199
  • Developmental and Educational Psychology 9.9k
  • Computer Science Applications 3.5k
  • Education 15.8k
  • Information Systems 6.4k
  • Human-Computer Interaction 1.5k
Replace David H. Jonassen with:
David H. Jonassen United States
Gwo‐Jen Hwang Taiwan
L. S. Vygotsky United States
James Paul Gee United States
David Kolb United States
Marc Prensky United States
Punya Mishra United States
Khe Foon Hew Hong Kong
D. Randy Garrison Canada
John D. Bransford United States
Chin‐Chung Tsai relative to David H. Jonassen United States David H. Jonassen's profile →
Citations per field
00.5×5.4×
David H. Jonassen · 1×
Citations per year

Countries citing papers authored by Chin‐Chung Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Chung Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Chung Tsai. 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 Chin‐Chung Tsai. The network helps show where Chin‐Chung Tsai may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 457 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Affordances of Augmented Reality in Science Learning: Suggestions for Future Research
Hit paper breakdown →
2012569
2
Exploring teachers’ perceived self efficacy and technological pedagogical content knowledge with respect to educational use of the World Wide Web
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2008456
3
A review of technological pedagogical content knowledge
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2013438
4
A review of using eye-tracking technology in exploring learning from 2000 to 2012
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2013436
5
Research trends in mobile and ubiquitous learning: a review of publications in selected journals from 2001 to 2010
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2011433
6
Facilitating preservice teachers' development of technological, pedagogical, and content knowledge (TPACK)
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2010402
7
Criteria, Strategies and Research Issues of Context-Aware Ubiquitous Learning
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2008400
8
Modeling primary school pre-service teachers’ Technological Pedagogical Content Knowledge (TPACK) for meaningful learning with information and communication technology (ICT)
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2011362
9 2002353
10 2003342
11
Challenges and Future Directions of Big Data and Artificial Intelligence in Education
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2020324
12 2002322
13
A context-aware ubiquitous learning environment for conducting complex science experiments
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2009320
14
A two-tier test approach to developing location-aware mobile learning systems for natural science courses
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2010311
15
The Role of Collaboration, Computer Use, Learning Environments, and Supporting Strategies in CSCL: A Meta-Analysis
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2018306
16 2008283
17 2010281
18 2013255
19 2005238
20 2013235

About Chin‐Chung Tsai

Chin‐Chung Tsai is a scholar working on Education, Developmental and Educational Psychology, Information Systems, Sociology and Political Science and Computer Science Applications, having authored 457 papers that have together received 27.4k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (173 papers), Educational Strategies and Epistemologies (138 papers), Online and Blended Learning (126 papers), Science Education and Pedagogy (83 papers), Education and Critical Thinking Development (72 papers), Mobile Learning in Education (45 papers), Impact of Technology on Adolescents (44 papers) and Gender and Technology in Education (43 papers). The work is most often cited by research in Developmental and Educational Psychology (9.9k citations), Computer Science Applications (3.5k citations), Education (15.8k citations), Information Systems (6.4k citations) and Human-Computer Interaction (1.5k citations). Chin‐Chung Tsai has collaborated with scholars based in Taiwan, Singapore and China. Frequent co-authors include Ching Sing Chai, Jyh‐Chong Liang, Gwo‐Jen Hwang, Kun‐Hung Cheng, Joyce Hwee Ling Koh, Min‐Hsien Lee, Ying‐Tien Wu, Sunny S. J. Lin, Meng‐Jung Tsai and Hui‐Chun Chu. Their work appears in journals such as Computers & Education, International Journal of Science Education, Educational Technology & Society, Journal of Science Education and Technology and The Asia-Pacific Education Researcher.

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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