Chih‐Yueh Chou
- Developmental and Educational Psychology top 2%
- Computer Science Applications top 1%
- Education top 5%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Co-authors
- Tak-Wai ChanChi-Jen LinK. Robert LaiZhihong ChenTak‐Wai ChanPo‐Yao ChaoOvid J. L. TzengZhi Hong Chen
- Topics
- Innovative Teaching and Learning Methods (26 papers)Intelligent Tutoring Systems and Adaptive Learning (16 papers)Online Learning and Analytics (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PhysicsComputers & Education
In The Last Decade
Chih‐Yueh Chou
50 papers receiving 867 citations
Peers
Comparison fields: 5 of 86
- Developmental and Educational Psychology 411
- Computer Science Applications 347
- Education 345
- Artificial Intelligence 306
- Information Systems 222
Countries citing papers authored by Chih‐Yueh Chou
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | Developing Adaptive Help-Seeking Regulation Mechanisms for Different Help-Seeking Tendencies | 8 |
| 6 | 59 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | Learning analytics: An enabler for dropout prediction | 2 |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | Content-Free Computer Supports for Self-Explaining: Modifiable Typing Interface and Prompting | 4 |
| 15 | 8 | |
| 16 | 66 | |
| 17 | Motivating Learners by Nurturing Animal Companions: My-Pet and Our-Pet | 9 |
| 18 | 5 | |
| 19 | 26 | |
| 20 | 161 |
About Chih‐Yueh Chou
Chih‐Yueh Chou is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence, having authored 52 papers that have together received 947 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (26 papers), Intelligent Tutoring Systems and Adaptive Learning (16 papers) and Online Learning and Analytics (14 papers). The work is most often cited by research in Computer Science Applications (347 citations), Developmental and Educational Psychology (411 citations) and Education (345 citations). Chih‐Yueh Chou has collaborated with scholars based in Taiwan, Malaysia and Singapore. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Computers & 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.