Olivia S. Cheung

1.1k total citations
30 papers, 645 citations indexed

About

Olivia S. Cheung is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Olivia S. Cheung has authored 30 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 18 papers in Experimental and Cognitive Psychology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Olivia S. Cheung's work include Face Recognition and Perception (21 papers), Evolutionary Psychology and Human Behavior (12 papers) and Neural and Behavioral Psychology Studies (7 papers). Olivia S. Cheung is often cited by papers focused on Face Recognition and Perception (21 papers), Evolutionary Psychology and Human Behavior (12 papers) and Neural and Behavioral Psychology Studies (7 papers). Olivia S. Cheung collaborates with scholars based in United States, United Arab Emirates and Hong Kong. Olivia S. Cheung's co-authors include L. Gauthier, Jennifer J. Richler, Moshe Bar, Matthew F. Panichello, Alan C.‐N. Wong, William G. Hayward, Chenxi He, Rachel Wu, Benjamin D. Zinszer and Wei Chen and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Psychological Science.

In The Last Decade

Olivia S. Cheung

28 papers receiving 629 citations

Peers

Olivia S. Cheung
Comparison fields: 5 of 64
  • Cognitive Neuroscience 578
  • Experimental and Cognitive Psychology 274
  • Computer Vision and Pattern Recognition 157
  • Social Psychology 90
  • Developmental and Educational Psychology 58
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Citations per field, relative to Olivia S. Cheung
Olivia S. Cheung · 1×
Citations per year, relative to Olivia S. Cheung
Olivia S. Cheung · 1×

Countries citing papers authored by Olivia S. Cheung

Since Specialization
Citations

This map shows the geographic impact of Olivia S. Cheung'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 Olivia S. Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivia S. Cheung more than expected).

Fields of papers citing papers by Olivia S. Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olivia S. Cheung. 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 Olivia S. Cheung. The network helps show where Olivia S. Cheung may publish in the future.

Co-authorship network of co-authors of Olivia S. Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Olivia S. Cheung. A scholar is included among the top collaborators of Olivia S. Cheung 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 Olivia S. Cheung. Olivia S. Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 3
4 0
5 1
6 3
7 15
8 12
9 13
10 12
11 91
12 1
13 45
14 12
15 27
16 21
17 2
18 27
19 15
20 41

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.

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