Sien Wei Chew
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience
- Physiology
- Human-Computer Interaction top 10%
- Co-authors
- Patrick LuceyJeffrey F. CohnSridha SridharanSimon LuceyIain MatthewsKenneth M. PrkachinPatricia SolomonJason Saragih
- Topics
- Emotion and Mood Recognition (4 papers)Face and Expression Recognition (4 papers)Face recognition and analysis (2 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)Image and Vision ComputingQUT ePrints (Queensland University of Technology)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Sien Wei Chew
5 papers receiving 269 citations
Peers
Comparison fields: 5 of 45
- Experimental and Cognitive Psychology 194
- Computer Vision and Pattern Recognition 189
- Cognitive Neuroscience 45
- Physiology 27
- Human-Computer Interaction 26
Countries citing papers authored by Sien Wei Chew
This map shows the geographic impact of Sien Wei 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 Sien Wei Chew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sien Wei Chew more than expected).
Fields of papers citing papers by Sien Wei Chew
This network shows the impact of papers produced by Sien Wei 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 Sien Wei Chew. The network helps show where Sien Wei Chew may publish in the future.
Co-authorship network of co-authors of Sien Wei Chew
This figure shows the co-authorship network connecting the top 25 collaborators of Sien Wei Chew. A scholar is included among the top collaborators of Sien Wei 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 Sien Wei Chew. Sien Wei 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 | 42 | |
| 2 | 43 | |
| 3 | 72 | |
| 4 | 122 | |
| 5 | Exploring visual features through Gabor representations for facial expression detection | 3 |
About Sien Wei Chew
Sien Wei Chew is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 5 papers that have together received 282 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (4 papers), Face and Expression Recognition (4 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (194 citations), Computer Vision and Pattern Recognition (189 citations) and Human-Computer Interaction (26 citations). Sien Wei Chew has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Patrick Lucey, Jeffrey F. Cohn, Sridha Sridharan, Simon Lucey, Iain Matthews, Kenneth M. Prkachin, Patricia Solomon, Jason Saragih and Clinton Fookes. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Image and Vision Computing and QUT ePrints (Queensland University of Technology).
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.