Gary K. W. Wong
- Computer Science Applications top 0.5%
- Teaching and Learning Programming 41
- Online Learning and Analytics 13
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- Educational Games and Gamification 23
- Innovative Teaching and Learning Methods 19
- Health Informatics top 10%
- Information Systems top 2%
- Mobile Learning in Education 4
- Education top 2%
- Child Development and Digital Technology 7
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- Genetics, Bioinformatics, and Biomedical Research 8
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- Advanced Wireless Network Optimization 6
- Co-authors
- Jimmy de la TorreNwy LawChung Kwan LoShuai MaKhe Foon HewPierre DillenbourgDanny H. K. TsangLei Kong
- Journals
- Educational Technology Research and Development (6 papers)Journal of Computer Assisted Learning (5 papers)Education and Information Technologies (4 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Gary K. W. Wong
79 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Science Applications 642
- Developmental and Educational Psychology 363
- Health Informatics 22
- Information Systems 359
- Education 432
Countries citing papers authored by Gary K. W. Wong
This map shows the geographic impact of Gary K. W. Wong'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 Gary K. W. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary K. W. Wong more than expected).
Fields of papers citing papers by Gary K. W. Wong
This network shows the impact of papers produced by Gary K. W. Wong. 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 Gary K. W. Wong. The network helps show where Gary K. W. Wong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gary K. W. Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 15 | |
| 14 | 2021 | 29 | |
| 15 | 2020 | 24 | |
| 16 | 2020 | 111 | |
| 17 | 2019 | 120 | |
| 18 | 2018 | 13 | |
| 19 | 2014 | 28 | |
| 20 | 2009 | 10 |
About Gary K. W. Wong
Gary K. W. Wong is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Software, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Teaching and Learning Programming (41 papers), Educational Games and Gamification (23 papers), Innovative Teaching and Learning Methods (19 papers), Online Learning and Analytics (13 papers), Genetics, Bioinformatics, and Biomedical Research (8 papers), Child Development and Digital Technology (7 papers), Advanced Wireless Network Optimization (6 papers) and Mobile Learning in Education (4 papers). The work is most often cited by research in Computer Science Applications (642 citations), Developmental and Educational Psychology (363 citations) and Health Informatics (22 citations). Gary K. W. Wong has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Jimmy de la Torre, Nwy Law, Chung Kwan Lo, Shuai Ma, Khe Foon Hew, Pierre Dillenbourg, Danny H. K. Tsang, Lei Kong, Frank Reichert and Nancy Law. Their work appears in journals such as Educational Technology Research and Development, Journal of Computer Assisted Learning, Education and Information Technologies, International Journal of Mobile Learning and Organisation and Atherosclerosis.
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.