Chaona Chen
Impact in
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- Emotion and Mood Recognition
- Evolutionary Psychology and Human Behavior
- Multisensory perception and integration
- Cognitive Neuroscience top 10%
- Face Recognition and Perception
Papers in
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- Face Recognition and Perception 16
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- Emotion and Mood Recognition 6
- Evolutionary Psychology and Human Behavior 4
- Co-authors
- Rachael E. Jack (19 shared papers)Oliver Garrod (17 shared papers)Philippe G. Schyns (17 shared papers)José Miguel Fernández Dols (2 shared papers)Carlos Crivelli (2 shared papers)Robin A. A. Ince (8 shared papers)Jonas Beskow (2 shared papers)Ioannis Delis (1 shared paper)
- Journals
- Journal of Vision (9 papers)Current Biology (2 papers)Science Advances (1 paper)Proceedings of the National Academy of Sciences (1 paper)Current Opinion in Psychology (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Chaona Chen
17 papers receiving 242 citations
Peers
Comparison fields: 5 of 58
- Experimental and Cognitive Psychology 123
- Cognitive Neuroscience 137
- Social Psychology 110
- Developmental Biology 9
- Computer Vision and Pattern Recognition 41
Countries citing papers authored by Chaona Chen
This map shows the geographic impact of Chaona Chen'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 Chaona Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaona Chen more than expected).
Fields of papers citing papers by Chaona Chen
This network shows the impact of papers produced by Chaona Chen. 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 Chaona Chen. The network helps show where Chaona Chen may publish in the future.
Co-authors
The 20 scholars most cited alongside Chaona Chen, 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 | 2018 | 61 | |
| 2 | 2017 | 30 | |
| 3 | 2016 | 29 | |
| 4 | 2021 | 26 | |
| 5 | 2018 | 25 | |
| 6 | 2019 | 22 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 10 | |
| 9 | 2015 | 8 | |
| 10 | 2016 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2017 | 0 | |
| 20 | 2020 | 0 |
About Chaona Chen
Chaona Chen is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Computer Vision and Pattern Recognition and Developmental Biology, having authored 20 papers that have together received 247 indexed citations. Recurring topics across this work include Face Recognition and Perception (16 papers), Face recognition and analysis (6 papers), Emotion and Mood Recognition (6 papers), Evolutionary Psychology and Human Behavior (4 papers), Emotions and Moral Behavior (4 papers), Social Robot Interaction and HRI (3 papers), Face and Expression Recognition (2 papers) and Animal Vocal Communication and Behavior (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (123 citations), Cognitive Neuroscience (137 citations), Social Psychology (110 citations), Developmental Biology (9 citations) and Computer Vision and Pattern Recognition (41 citations). Chaona Chen has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Rachael E. Jack, Oliver Garrod, Philippe G. Schyns, José Miguel Fernández Dols, Carlos Crivelli, Robin A. A. Ince, Jonas Beskow, Ioannis Delis, Stefano Panzeri and Suzanne Oosterwijk. Their work appears in journals such as Journal of Vision, Current Biology, Science Advances, Proceedings of the National Academy of Sciences and Current Opinion in Psychology.
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.