Chih‐Pu Dai

831 total citations · 1 hit paper
25 papers, 437 citations indexed

About

Chih‐Pu Dai is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Education. According to data from OpenAlex, Chih‐Pu Dai has authored 25 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Developmental and Educational Psychology, 10 papers in Computer Science Applications and 6 papers in Education. Recurrent topics in Chih‐Pu Dai's work include Educational Games and Gamification (18 papers), Online Learning and Analytics (8 papers) and Innovative Teaching and Learning Methods (7 papers). Chih‐Pu Dai is often cited by papers focused on Educational Games and Gamification (18 papers), Online Learning and Analytics (8 papers) and Innovative Teaching and Learning Methods (7 papers). Chih‐Pu Dai collaborates with scholars based in United States, Hong Kong and Germany. Chih‐Pu Dai's co-authors include Fengfeng Ke, Zhichun Liu, Seyedahmad Rahimi, Ginny Smith, Valerie J. Shute, Jewoong Moon, Byung-Joo Kim, Russell G. Almond, Chen Sun and Mariya Pachman and has published in prestigious journals such as Computers & Education, Educational Psychology Review and British Journal of Educational Technology.

In The Last Decade

Chih‐Pu Dai

20 papers receiving 420 citations

Hit Papers

Educational applications of artificial intelligence in si... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Educational applications of artificial intelligence in simulation-based learning: A systematic mapping review
    2022 125 citations Chih‐Pu Dai, Fengfeng Ke Computers and Education Artificial Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chih‐Pu Dai United States 10 216 116 103 84 77 25 437
Pei‐Ying Chen Taiwan 9 173 0.8× 160 1.4× 158 1.5× 109 1.3× 104 1.4× 20 503
Hsiu‐Ling Chen Taiwan 10 151 0.7× 158 1.4× 201 2.0× 121 1.4× 93 1.2× 28 539
Vivien Lin Taiwan 13 124 0.6× 56 0.5× 137 1.3× 76 0.9× 137 1.8× 17 421
Victoria L. Lowell United States 11 91 0.4× 96 0.8× 154 1.5× 50 0.6× 78 1.0× 27 425
Claudia Nerdel Germany 10 126 0.6× 140 1.2× 163 1.6× 95 1.1× 78 1.0× 35 478
Junjie Shang China 11 175 0.8× 94 0.8× 149 1.4× 31 0.4× 76 1.0× 38 368
Mouna Denden China 13 212 1.0× 160 1.4× 142 1.4× 36 0.4× 81 1.1× 25 487
Jessica Andrews‐Todd United States 8 251 1.2× 88 0.8× 150 1.5× 74 0.9× 45 0.6× 17 423
Golnaz Arastoopour Irgens United States 11 218 1.0× 210 1.8× 150 1.5× 58 0.7× 50 0.6× 48 530
Renny S. N. Lindberg Belgium 8 214 1.0× 149 1.3× 73 0.7× 44 0.5× 75 1.0× 16 396

Countries citing papers authored by Chih‐Pu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Pu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Pu Dai. 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 Chih‐Pu Dai. The network helps show where Chih‐Pu Dai may publish in the future.

Co-authorship network of co-authors of Chih‐Pu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Pu Dai. A scholar is included among the top collaborators of Chih‐Pu Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chih‐Pu Dai. Chih‐Pu Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Caskurlu, Secil, et al.. (2025). The Scope of Multimodal Learning Analytics in K–8. Journal of Learning Analytics. 12(2). 224–236.
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Ke, Fengfeng, et al.. (2024). Supporting Preservice Teachers’ Responsive Teaching in Artificial Intelligence-integrated Simulations. Proceedings.. 2051–2052. 2 indexed citations
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Barrett, Alex, et al.. (2024). Comparing the Science Talk of AI and Human Students. Proceedings.. 2073–2074. 2 indexed citations
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Ke, Fengfeng, et al.. (2024). Seeking to support preservice teachers' responsive teaching: Leveraging artificial intelligence‐supported virtual simulation. British Journal of Educational Technology. 56(3). 1148–1169. 8 indexed citations
10.
Dai, Chih‐Pu, et al.. (2024). Effects of Artificial Intelligence-Powered Virtual Agents on Learning Outcomes in Computer-Based Simulations: A Meta-Analysis. Educational Psychology Review. 36(1). 29 indexed citations
11.
Barrett, Alex, et al.. (2023). AI-Integrated Virtual Students for Teacher Training: Comparing Simulation-Based Classroom Dialogue With the Real Thing. Proceedings.. 1797–1798. 2 indexed citations
12.
Ke, Fengfeng, et al.. (2023). Using Mathematizing Supports for Applied Problem Solving in a Game-Based Learning Environment. Journal of Educational Computing Research. 62(2). 248–280.
13.
Dai, Chih‐Pu & Fengfeng Ke. (2022). Educational applications of artificial intelligence in simulation-based learning: A systematic mapping review. Computers and Education Artificial Intelligence. 3. 100087–100087. 125 indexed citations breakdown →
14.
Dai, Chih‐Pu, et al.. (2022). Improving teaching practices via virtual reality‐supported simulation‐based learning: Scenario design and the duration of implementation. British Journal of Educational Technology. 54(4). 836–856. 22 indexed citations
15.
Dai, Chih‐Pu, et al.. (2022). Narrative-supported math problem solving in digital game-based learning. Educational Technology Research and Development. 70(4). 1261–1281. 12 indexed citations
16.
Ke, Fengfeng, et al.. (2022). Patterns of Using Multimodal External Representations in Digital Game-Based Learning. Journal of Educational Computing Research. 60(8). 1918–1941. 9 indexed citations
17.
Rahimi, Seyedahmad, et al.. (2021). The use and effects of incentive systems on learning and performance in educational games. Computers & Education. 165. 104135–104135. 34 indexed citations
18.
Shute, Valerie J., Seyedahmad Rahimi, Ginny Smith, et al.. (2020). Maximizing learning without sacrificing the fun: Stealth assessment, adaptivity and learning supports in educational games. Journal of Computer Assisted Learning. 37(1). 127–141. 73 indexed citations
19.
Shute, Valerie J., Ginny Smith, Chih‐Pu Dai, et al.. (2020). The Design, Development, and Testing of Learning Supports for the Physics Playground Game. International Journal of Artificial Intelligence in Education. 31(3). 357–379. 22 indexed citations
20.

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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