Chan-Sup Chung

474 total citations
5 papers, 380 citations indexed

About

Chan-Sup Chung is a scholar working on Cognitive Neuroscience, Pathology and Forensic Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chan-Sup Chung has authored 5 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cognitive Neuroscience, 1 paper in Pathology and Forensic Medicine and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Chan-Sup Chung's work include Image Retrieval and Classification Techniques (1 paper), Consumer Perception and Purchasing Behavior (1 paper) and Face Recognition and Perception (1 paper). Chan-Sup Chung is often cited by papers focused on Image Retrieval and Classification Techniques (1 paper), Consumer Perception and Purchasing Behavior (1 paper) and Face Recognition and Perception (1 paper). Chan-Sup Chung collaborates with scholars based in South Korea, United Kingdom and Belgium. Chan-Sup Chung's co-authors include Jaehyun Han, Roberto Caldara, Caroline Michel, Bruno Rossion, Soo‐Jeong Lee, Jung‐Young Son, Yongjin Choi and Yillbyung Lee and has published in prestigious journals such as Psychological Science and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Chan-Sup Chung

3 papers receiving 367 citations

Peers

Chan-Sup Chung
Comparison fields: 5 of 38
  • Cognitive Neuroscience 354
  • Experimental and Cognitive Psychology 239
  • Computer Vision and Pattern Recognition 101
  • Social Psychology 58
  • Sociology and Political Science 48
Replace Johanna Stahl with:
Johanna Stahl Germany
S. Dubois Belgium
Yetta Kwailing Wong Hong Kong
James Tanaka Canada
Shirley Tan Japan
Chaona Chen United Kingdom
Christopher A. Longmore United Kingdom
Maria Tsantani United Kingdom
Madeleine Pidcock Australia
Tarryn Balsdon Australia
Johanna Stahl Germany View profile →
Citations per field, relative to Chan-Sup Chung
Chan-Sup Chung · 1×
Citations per year, relative to Chan-Sup Chung
Chan-Sup Chung · 1×

Countries citing papers authored by Chan-Sup Chung

Since Specialization
Citations

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

Fields of papers citing papers by Chan-Sup Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan-Sup Chung. 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 Chan-Sup Chung. The network helps show where Chan-Sup Chung may publish in the future.

Co-authorship network of co-authors of Chan-Sup Chung

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

All Works

5 of 5 papers shown
# Work Indexed citations
1 374
2
The affective components of facial beauty
1
3 0
4 3
5
The Factors In Reading Hangul Text : font width-to-height ratio of a letter, line length
2

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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