Man-Wai Chu
- Education top 5%
- Developmental and Educational Psychology top 10%
- Computer Science Applications top 5%
- Artificial Intelligence
- Social Psychology
- Co-authors
- Jacqueline P. LeightonEunice Eunhee JangValerie J. ShuteRoswita DresslerYing CuiLia M. DanielsTracy L. DurksenFu Chen
- Topics
- Innovative Teaching Methods (6 papers)Innovative Teaching and Learning Methods (6 papers)Intelligent Tutoring Systems and Adaptive Learning (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaStudies in Higher EducationJournal of Science Education and Technology
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Man-Wai Chu
29 papers receiving 331 citations
Peers
Comparison fields: 5 of 67
- Education 180
- Developmental and Educational Psychology 124
- Computer Science Applications 87
- Artificial Intelligence 57
- Social Psychology 43
Countries citing papers authored by Man-Wai Chu
This map shows the geographic impact of Man-Wai Chu'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 Man-Wai Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man-Wai Chu more than expected).
Fields of papers citing papers by Man-Wai Chu
This network shows the impact of papers produced by Man-Wai Chu. 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 Man-Wai Chu. The network helps show where Man-Wai Chu may publish in the future.
Co-authorship network of co-authors of Man-Wai Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Man-Wai Chu. A scholar is included among the top collaborators of Man-Wai Chu 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 Man-Wai Chu. Man-Wai Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 15 | |
| 4 | 26 | |
| 5 | 9 | |
| 6 | 23 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 11 | |
| 14 | 9 | |
| 15 | 58 | |
| 16 | 49 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 8 |
About Man-Wai Chu
Man-Wai Chu is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education, having authored 29 papers that have together received 347 indexed citations. Recurring topics across this work include Innovative Teaching Methods (6 papers), Innovative Teaching and Learning Methods (6 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). The work is most often cited by research in Computer Science Applications (87 citations), Developmental and Educational Psychology (124 citations) and Education (180 citations). Man-Wai Chu has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Jacqueline P. Leighton, Eunice Eunhee Jang, Valerie J. Shute, Roswita Dressler, Ying Cui, Lia M. Daniels, Tracy L. Durksen, Fu Chen, Sharon Friesen and Chen Fu. Their work appears in journals such as SHILAP Revista de lepidopterología, Studies in Higher Education and Journal of Science Education and Technology.
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.