William Man-Yin Cheung
- Computer Science Applications top 1%
- Artificial Intelligence top 10%
- Safety Research top 5%
- Information Systems top 10%
- Health Informatics top 2%
- Co-authors
- Siu Cheung KongSaba ZuberiMichael LukeMingyue GuPigga KeskitaloLixun WangJohn Chi‐Kin Lee
- Topics
- Online Learning and Analytics (4 papers)Misinformation and Its Impacts (2 papers)Ethics in Business and Education (1 paper)
- Journals
- SHILAP Revista de lepidopterologíaEducation and Information TechnologiesComputers and Education Artificial Intelligence
In The Last Decade
William Man-Yin Cheung
6 papers receiving 371 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Computer Science Applications 225
- Artificial Intelligence 107
- Safety Research 85
- Information Systems 81
- Health Informatics 76
Countries citing papers authored by William Man-Yin Cheung
This map shows the geographic impact of William Man-Yin Cheung'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 William Man-Yin Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Man-Yin Cheung more than expected).
Fields of papers citing papers by William Man-Yin Cheung
This network shows the impact of papers produced by William Man-Yin Cheung. 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 William Man-Yin Cheung. The network helps show where William Man-Yin Cheung may publish in the future.
Co-authorship network of co-authors of William Man-Yin Cheung
This figure shows the co-authorship network connecting the top 25 collaborators of William Man-Yin Cheung. A scholar is included among the top collaborators of William Man-Yin Cheung 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 William Man-Yin Cheung. William Man-Yin Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Developing an artificial intelligence literacy framework: Evaluation of a literacy course for senior secondary students using a project-based learning approachbreakdown → | 65 |
| 2 | 14 | |
| 3 | 58 | |
| 4 | 65 | |
| 5 | Evaluation of an artificial intelligence literacy course for university students with diverse study backgroundsbreakdown → | 168 |
| 6 | 25 |
About William Man-Yin Cheung
William Man-Yin Cheung is a scholar working on Computer Science Applications, Health Informatics and Developmental and Educational Psychology, having authored 6 papers that have together received 395 indexed citations. Recurring topics across this work include Online Learning and Analytics (4 papers), Misinformation and Its Impacts (2 papers) and Ethics in Business and Education (1 paper). The work is most often cited by research in Health Informatics (76 citations), Computer Science Applications (225 citations) and Safety Research (85 citations). William Man-Yin Cheung has collaborated with scholars based in Hong Kong, Finland and Canada. Frequent co-authors include Siu Cheung Kong, Saba Zuberi, Michael Luke, Mingyue Gu, Pigga Keskitalo, Lixun Wang and John Chi‐Kin Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, Education and Information Technologies and Computers and Education Artificial Intelligence.
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.