Chih‐Yueh Chou

1.5k total citations
52 papers, 947 citations indexed

About

Chih‐Yueh Chou is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Chih‐Yueh Chou has authored 52 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Developmental and Educational Psychology, 22 papers in Artificial Intelligence and 22 papers in Computer Science Applications. Recurrent topics in Chih‐Yueh Chou's work include Innovative Teaching and Learning Methods (26 papers), Intelligent Tutoring Systems and Adaptive Learning (16 papers) and Online Learning and Analytics (14 papers). Chih‐Yueh Chou is often cited by papers focused on Innovative Teaching and Learning Methods (26 papers), Intelligent Tutoring Systems and Adaptive Learning (16 papers) and Online Learning and Analytics (14 papers). Chih‐Yueh Chou collaborates with scholars based in Taiwan, Malaysia and Singapore. Chih‐Yueh Chou's co-authors include Tak-Wai Chan, Chi-Jen Lin, K. Robert Lai, Zhihong Chen, Tak‐Wai Chan, Po‐Yao Chao, Ovid J. L. Tzeng, Zhi Hong Chen, Chien‐Lung Chan and Stephen J.H. Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Computers & Education.

In The Last Decade

Chih‐Yueh Chou

50 papers receiving 867 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chih‐Yueh Chou Taiwan 17 411 347 345 306 222 52 947
Peter van Rosmalen Netherlands 20 517 1.3× 367 1.1× 359 1.0× 245 0.8× 175 0.8× 79 1.1k
Patrícia A. Jaques Brazil 14 472 1.1× 328 0.9× 252 0.7× 428 1.4× 219 1.0× 110 1.1k
Dan Davis Netherlands 12 365 0.9× 508 1.5× 452 1.3× 133 0.4× 139 0.6× 29 930
Ting‐Wen Chang China 15 272 0.7× 471 1.4× 356 1.0× 167 0.5× 341 1.5× 48 1.1k
Andreas Harrer Germany 12 536 1.3× 310 0.9× 245 0.7× 202 0.7× 157 0.7× 84 857
H. Ulrich Hoppe Germany 17 311 0.8× 342 1.0× 266 0.8× 185 0.6× 352 1.6× 100 967
Barbara Wasson Norway 20 414 1.0× 349 1.0× 425 1.2× 145 0.5× 178 0.8× 76 1.0k
Young Hoan Cho South Korea 13 307 0.7× 249 0.7× 501 1.5× 129 0.4× 143 0.6× 50 945
Donggil Song United States 15 235 0.6× 257 0.7× 338 1.0× 140 0.5× 158 0.7× 35 723
Yun‐Fang Tu Taiwan 19 236 0.6× 377 1.1× 332 1.0× 255 0.8× 244 1.1× 65 1.1k

Countries citing papers authored by Chih‐Yueh Chou

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Yueh Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chih‐Yueh Chou

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Yueh Chou. A scholar is included among the top collaborators of Chih‐Yueh Chou 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‐Yueh Chou. Chih‐Yueh Chou 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.
Chen, Zhihong, et al.. (2024). Pet-like learning companions: past research and future directions. Research and Practice in Technology Enhanced Learning. 20. 33–33.
2.
Chou, Chih‐Yueh, Tak-Wai Chan, Zhi Hong Chen, et al.. (2024). Defining AI companions: a research agenda—from artificial companions for learning to general artificial companions for Global Harwell. Research and Practice in Technology Enhanced Learning. 20. 32–32. 1 indexed citations
3.
4.
Looi, Chee‐Kit, Su Luan Wong, Siu Cheung Kong, et al.. (2022). Interest-Driven Creator Theory: case study of embodiment in an experimental school in Taiwan. Research and Practice in Technology Enhanced Learning. 18. 23–23. 9 indexed citations
5.
Chou, Chih‐Yueh, et al.. (2021). Developing Adaptive Help-Seeking Regulation Mechanisms for Different Help-Seeking Tendencies. SHILAP Revista de lepidopterología. 8 indexed citations
6.
Chou, Chih‐Yueh, et al.. (2020). An analysis of internal and external feedback in self-regulated learning activities mediated by self-regulated learning tools and open learner models. International Journal of Educational Technology in Higher Education. 17(1). 59 indexed citations
7.
Chou, Chih‐Yueh, et al.. (2019). Simulatable Open Learner Models of Core Competencies for Setting Goals for Course Performance. International Conference on Computers in Education. 1 indexed citations
8.
Chen, Zhi Hong, et al.. (2018). Feedback of interface agents on student perception: Level, dialogue, and emotion. 21(1). 82–90. 4 indexed citations
9.
Yu, Liang-Chih, et al.. (2018). Improving early prediction of academic failure using sentiment analysis on self‐evaluated comments. Journal of Computer Assisted Learning. 34(4). 358–365. 66 indexed citations
10.
Chou, Chih‐Yueh & Tak‐Wai Chan. (2015). Reciprocal Tutoring: Design with Cognitive Load Sharing. International Journal of Artificial Intelligence in Education. 26(1). 512–535. 8 indexed citations
11.
Chen, Zhi Hong, et al.. (2014). Tangible Animal Companions in Traditional Chinese Character Learning. International Conference on Computers in Education. 1 indexed citations
12.
Chou, Chih‐Yueh, et al.. (2014). Learning analytics: An enabler for dropout prediction. 286–288. 2 indexed citations
13.
Chou, Chih‐Yueh, et al.. (2013). Applying Augmented Reality to Assisting Children in Solving Tangram Puzzle. International Conference on Computers in Education. 1 indexed citations
14.
Chou, Chih‐Yueh, et al.. (2010). SUPPORTING VARIABLE DYAD LEARNING ACTIVITIES IN AN INSTRUCTIONAL GAME SYSTEM. International Journal of Computers and Applications. 32(3). 1 indexed citations
15.
Chou, Chih‐Yueh, et al.. (2009). Content-Free Computer Supports for Self-Explaining: Modifiable Typing Interface and Prompting. Educational Technology & Society. 12(1). 121–133. 4 indexed citations
16.
Cheng, Hercy N.H., et al.. (2007). AnswerMatching: A Competitive Learning Game with Uneven Chance Tactic. 89–98. 8 indexed citations
17.
Chen, Zhihong, et al.. (2007). Active Open Learner Models as Animal Companions: Motivating Children to Learn through Interacting with My-Pet and Our-Pet. International Journal of Artificial Intelligence in Education. 17(2). 145–167. 66 indexed citations
18.
Chen, Zhihong, et al.. (2005). Motivating Learners by Nurturing Animal Companions: My-Pet and Our-Pet. 136–143. 9 indexed citations
19.
Chen, Zhihong, et al.. (2005). Animal companions as motivators for teammates helping each other learn. 43–47. 5 indexed citations
20.
Wong, Wing‐Kwong, et al.. (2003). Reciprocal tutoring using cognitive tools. Journal of Computer Assisted Learning. 19(4). 416–428. 26 indexed citations

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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