Kevin M. Wong
- Education top 2%
- Child Development and Digital Technology 17
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- Reading and Literacy Development 12
- Innovative Teaching and Learning Methods 4
- Linguistics and Language top 10%
- Multilingual Education and Policy 11
- Language and Linguistics top 5%
- EFL/ESL Teaching and Learning 9
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- Second Language Learning and Teaching 12
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- Digital literacy in education 6
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- Impact of Technology on Adolescents 4
Kevin M. Wong
38 papers receiving 575 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Education 408
- Developmental and Educational Psychology 149
- Linguistics and Language 53
- Computer Science Applications 57
- Language and Linguistics 91
Countries citing papers authored by Kevin M. Wong
This map shows the geographic impact of Kevin M. 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 Kevin M. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin M. Wong more than expected).
Fields of papers citing papers by Kevin M. Wong
This network shows the impact of papers produced by Kevin M. 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 Kevin M. Wong. The network helps show where Kevin M. Wong may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Kevin M. 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 10 | |
| 7 | Blending asynchronous and synchronous digital technologies and instructional approaches to facilitate remote learningbreakdown → | 2021 | 110 |
| 8 | 2021 | 7 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 37 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 11 | |
| 13 | 2019 | 29 | |
| 14 | 2019 | 11 | |
| 15 | 2019 | 15 | |
| 16 | 2019 | 15 | |
| 17 | 2019 | 9 | |
| 18 | 2018 | 2 | |
| 19 | 2017 | 11 | |
| 20 | 2013 | 24 |
About Kevin M. Wong
Kevin M. Wong is a scholar working on Linguistics and Language, Literature and Literary Theory, Developmental and Educational Psychology, Language and Linguistics and Education, having authored 41 papers that have together received 615 indexed citations. Recurring topics across this work include Child Development and Digital Technology (17 papers), Reading and Literacy Development (12 papers), Second Language Learning and Teaching (12 papers), Multilingual Education and Policy (11 papers), EFL/ESL Teaching and Learning (9 papers), Digital literacy in education (6 papers), Innovative Teaching and Learning Methods (4 papers) and Impact of Technology on Adolescents (4 papers). The work is most often cited by research in Education (408 citations), Developmental and Educational Psychology (149 citations), Linguistics and Language (53 citations), Computer Science Applications (57 citations) and Language and Linguistics (91 citations). Kevin M. Wong has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Benjamin Luke Moorhouse, Susan B. Neuman, Tanya Kaefer, Pauline Mak, Rachel M. Flynn, Icy Lee, Carol Benson, Zhongfeng Tian, Li Li and Rebecca Lurie Starr. Their work appears in journals such as Journal of Educational Psychology, TESOL Journal, RELC Journal, International Journal of Bilingual Education and Bilingualism and Journal of Children and Media.
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.