Esyin Chew
- Education top 5%
- Signal Processing top 5%
- Sociology and Political Science top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Juan Pablo BelloDaniel H. TurnbullNorah JonesKaren FitzgibbonTrevor PriceJennifer ChunnSze-Meng Jojo WongVineetha Kalavally
- Topics
- Online and Blended Learning (6 papers)Robotics and Automated Systems (5 papers)AI in Service Interactions (5 papers)
- Journals
- Journal of Colloid and Interface ScienceComputers & EducationAdvances in experimental medicine and biology
- Partner nations
- United KingdomMalaysiaAustralia
In The Last Decade
Esyin Chew
37 papers receiving 499 citations
Peers
Comparison fields: 5 of 89
- Education 180
- Signal Processing 120
- Sociology and Political Science 116
- Computer Vision and Pattern Recognition 109
- Artificial Intelligence 80
Countries citing papers authored by Esyin Chew
This map shows the geographic impact of Esyin Chew'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 Esyin Chew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esyin Chew more than expected).
Fields of papers citing papers by Esyin Chew
This network shows the impact of papers produced by Esyin Chew. 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 Esyin Chew. The network helps show where Esyin Chew may publish in the future.
Co-authorship network of co-authors of Esyin Chew
This figure shows the co-authorship network connecting the top 25 collaborators of Esyin Chew. A scholar is included among the top collaborators of Esyin Chew 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 Esyin Chew. Esyin Chew 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 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 27 | |
| 6 | 1 | |
| 7 | 27 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | The Next Wave of Learning with Humanoid Robot: Learning Innovation Design starts with “Hello NAO” | 3 |
| 16 | 22 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | Turn it in or turn it off: Confirming and disconfirming experience for innovative computer-aided assessment and feedback | 2 |
| 20 | 1 |
About Esyin Chew
Esyin Chew is a scholar working on Education, Computer Science Applications and Media Technology, having authored 41 papers that have together received 530 indexed citations. Recurring topics across this work include Online and Blended Learning (6 papers), Robotics and Automated Systems (5 papers) and AI in Service Interactions (5 papers). The work is most often cited by research in Signal Processing (120 citations), Computer Science Applications (51 citations) and Health Informatics (12 citations). Esyin Chew has collaborated with scholars based in United Kingdom, Malaysia and Australia. Frequent co-authors include Juan Pablo Bello, Daniel H. Turnbull, Norah Jones, Karen Fitzgibbon, Trevor Price, Jennifer Chunn, Sze-Meng Jojo Wong, Vineetha Kalavally, Alice Lau and C. Hiew. Their work appears in journals such as Journal of Colloid and Interface Science, Computers & Education and Advances in experimental medicine and biology.
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.