Eva Wong
Impact in
- Computer Science Applications top 10%
Papers in
-
- Online and Blended Learning 9
- Innovative Teaching Methods 2
-
- Educational Games and Gamification 6
- Innovative Teaching and Learning Methods 5
- Co-authors
- Theresa Kwong (14 shared papers)Xiaoyan Wang (1 shared paper)Lena L. N. Wong (2 shared papers)Fei Chen (2 shared papers)King Man Eric Chong (1 shared paper)Mark Pegrum (3 shared papers)Joseph Kee‐Yin Ng (1 shared paper)Albert W. M. Lee (1 shared paper)
In The Last Decade
Eva Wong
24 papers receiving 328 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 11
- Computer Science Applications 34
- Safety Research 50
- Education 167
- Developmental and Educational Psychology 59
Countries citing papers authored by Eva Wong
This map shows the geographic impact of Eva 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 Eva Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Wong more than expected).
Fields of papers citing papers by Eva Wong
This network shows the impact of papers produced by Eva 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 Eva Wong. The network helps show where Eva Wong may publish in the future.
Co-authors
The 20 scholars most cited alongside Eva 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 116 | |
| 2 | 2013 | 55 | |
| 3 | 2010 | 45 | |
| 4 | 2013 | 30 | |
| 5 | 1995 | 20 | |
| 6 | 2018 | 15 | |
| 7 | 2013 | 15 | |
| 8 | 2010 | 11 | |
| 9 | 2017 | 8 | |
| 10 | Lieh-Tzu: A Taoist Guide to Practical Living | 1995 | 7 |
| 11 | 2020 | 6 | |
| 12 | 2009 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2019 | 4 | |
| 15 | Seven Taoist masters : a folk novel of China | 1990 | 3 |
| 16 | Mobile Technologies and Augmented Reality: Early Experiences in Helping Students Learn About Academic Integrity and Ethics | 2015 | 3 |
| 17 | 2020 | 2 | |
| 18 | 2010 | 2 | |
| 19 | 1994 | 2 | |
| 20 | 2022 | 1 |
About Eva Wong
Eva Wong is a scholar working on Education, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 361 indexed citations. Recurring topics across this work include Online and Blended Learning (9 papers), Educational Games and Gamification (6 papers), Innovative Teaching and Learning Methods (5 papers), Augmented Reality Applications (4 papers), Psychological and Educational Research Studies (3 papers), Phonetics and Phonology Research (2 papers), Hearing Loss and Rehabilitation (2 papers) and Innovative Teaching Methods (2 papers). The work is most often cited by research in Health Informatics (11 citations), Computer Science Applications (34 citations), Safety Research (50 citations), Education (167 citations) and Developmental and Educational Psychology (59 citations). Eva Wong has collaborated with scholars based in Hong Kong, Australia and China. Frequent co-authors include Theresa Kwong, Xiaoyan Wang, Lena L. N. Wong, Fei Chen, King Man Eric Chong, Mark Pegrum, Joseph Kee‐Yin Ng, Albert W. M. Lee, Kevin K.M. Yue and Ron Chi-Wai Kwok. Their work appears in journals such as IEEE Internet Computing, The Journal of the Acoustical Society of America, Research and Practice in Technology Enhanced Learning, International Journal for Lesson and Learning Studies and Technology Knowledge and Learning.
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.