Sang Chul Chong

3.2k total citations
84 papers, 2.2k citations indexed

About

Sang Chul Chong is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Sang Chul Chong has authored 84 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Cognitive Neuroscience, 22 papers in Experimental and Cognitive Psychology and 21 papers in Social Psychology. Recurrent topics in Sang Chul Chong's work include Visual perception and processing mechanisms (56 papers), Neural and Behavioral Psychology Studies (33 papers) and Color perception and design (19 papers). Sang Chul Chong is often cited by papers focused on Visual perception and processing mechanisms (56 papers), Neural and Behavioral Psychology Studies (33 papers) and Color perception and design (19 papers). Sang Chul Chong collaborates with scholars based in South Korea, United States and Iran. Sang Chul Chong's co-authors include Anne Treisman, Randolph Blake, Duje Tadin, Jongsoo Baek, Hee Yeon Im, Kenith V. Sobel, Karla K. Evans, K. Lira Yoon, Kyung Ja Oh and M. Stolte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Sang Chul Chong

71 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sang Chul Chong South Korea 21 1.9k 514 376 339 114 84 2.2k
Sergei Gepshtein United States 19 1.1k 0.6× 326 0.6× 256 0.7× 161 0.5× 26 0.2× 49 1.4k
Ruth Kimchi Israel 29 2.5k 1.4× 819 1.6× 650 1.7× 337 1.0× 168 1.5× 85 3.3k
Robert D. Melara United States 30 1.9k 1.0× 1.2k 2.4× 448 1.2× 80 0.2× 135 1.2× 78 2.7k
Jason Haberman United States 11 1.9k 1.0× 901 1.8× 467 1.2× 294 0.9× 64 0.6× 25 2.3k
Jason Fischer United States 17 1.4k 0.7× 350 0.7× 219 0.6× 129 0.4× 65 0.6× 37 1.6k
Alex O. Holcombe Australia 27 2.0k 1.1× 628 1.2× 372 1.0× 292 0.9× 55 0.5× 104 2.7k
A. H. C. van der Heijden Netherlands 23 1.7k 0.9× 651 1.3× 317 0.8× 177 0.5× 50 0.4× 66 2.0k
Jason M. Gold United States 20 1.5k 0.8× 496 1.0× 404 1.1× 397 1.2× 24 0.2× 49 2.0k
Vincent de Gardelle France 22 1.7k 0.9× 458 0.9× 197 0.5× 63 0.2× 39 0.3× 62 2.0k
Casimir J. H. Ludwig United Kingdom 23 1.4k 0.7× 341 0.7× 163 0.4× 238 0.7× 36 0.3× 55 1.7k

Countries citing papers authored by Sang Chul Chong

Since Specialization
Citations

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

Fields of papers citing papers by Sang Chul Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang Chul Chong. 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 Sang Chul Chong. The network helps show where Sang Chul Chong may publish in the future.

Co-authorship network of co-authors of Sang Chul Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Chul Chong. A scholar is included among the top collaborators of Sang Chul Chong 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 Sang Chul Chong. Sang Chul Chong 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
1.
Chong, Sang Chul, et al.. (2025). Product, not process: Metacognitive monitoring of visual performance during sustained attention. Psychonomic Bulletin & Review. 32(3). 1443–1455.
2.
Chong, Sang Chul, et al.. (2025). How do people perceive the variability of multifeature objects?. Journal of Experimental Psychology Human Perception & Performance. 51(2). 202–216.
3.
Chong, Sang Chul, et al.. (2025). Visual statistical learning initiates in/out-group judgments. Acta Psychologica. 254. 104873–104873.
4.
Chong, Sang Chul, et al.. (2024). Metacognition of perceptual resolution across and around the visual field. Cognition. 253. 105938–105938. 3 indexed citations
5.
Chong, Sang Chul, et al.. (2024). Ensemble memory of a scene interacts with current perception regardless of attentional requirements.. Journal of Experimental Psychology Learning Memory and Cognition. 50(10). 1529–1549. 1 indexed citations
6.
Utochkin, Igor, et al.. (2023). A population response model of ensemble perception.. Psychological Review. 131(1). 36–57. 14 indexed citations
7.
Chong, Sang Chul, et al.. (2023). Partial blindness: Visual experience is not rich, but not sparse. Psychonomic Bulletin & Review. 31(4). 1558–1569. 3 indexed citations
8.
Chong, Sang Chul, et al.. (2023). Similarity-based clustering of multifeature objects in visual working memory. Attention Perception & Psychophysics. 85(7). 2242–2256.
9.
Chong, Sang Chul, et al.. (2020). Quality of average representation can be enhanced by refined individual items. Attention Perception & Psychophysics. 83(3). 970–981. 9 indexed citations
10.
Chong, Sang Chul, et al.. (2020). Contextual cueing in target absent trials by distractor–distractor associations.. Journal of Experimental Psychology Human Perception & Performance. 46(12). 1458–1475. 1 indexed citations
11.
Baek, Jongsoo & Sang Chul Chong. (2019). Distributed attention model of perceptual averaging. Attention Perception & Psychophysics. 82(1). 63–79. 36 indexed citations
12.
Shin, Eunsam, et al.. (2015). Training Improves the Capacity of Visual Working Memory When It Is Adaptive, Individualized, and Targeted. PLoS ONE. 10(4). e0121702–e0121702. 13 indexed citations
13.
Im, Hee Yeon, et al.. (2014). Ensemble statistics as units of selection. Journal of Cognitive Psychology. 27(1). 114–127. 12 indexed citations
14.
Chong, Sang Chul, et al.. (2013). Interaction between the electrical stimulation of a face-selective area and the perception of face stimuli. NeuroImage. 77. 70–76. 14 indexed citations
15.
Chong, Sang Chul, et al.. (2012). Characteristics of the filled-in surface at the blind spot. Vision Research. 58. 33–44. 6 indexed citations
16.
Shin, Eunsam, et al.. (2012). When crowding meets binocular rivalry: Challenges for object perception. Vision Research. 76. 134–143. 2 indexed citations
17.
Leib, Allison Yamanashi, et al.. (2012). Extracting the mean size across the visual field in patients with mild, chronic unilateral neglect. Frontiers in Human Neuroscience. 6. 267–267. 23 indexed citations
18.
Stolte, M., et al.. (2009). The effect of spatial attention on invisible stimuli. Attention Perception & Psychophysics. 71(7). 1507–1513. 45 indexed citations
19.
Chong, Sang Chul, et al.. (2007). Interocular Filling-in of the Blind Spot. 19(3). 221–231. 1 indexed citations
20.
Blake, Randolph, et al.. (2006). Strength of early visual adaptation depends on visual awareness. Proceedings of the National Academy of Sciences. 103(12). 4783–4788. 154 indexed citations

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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