Do-Joon Yi

1.7k total citations
28 papers, 1.3k citations indexed

About

Do-Joon Yi is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Do-Joon Yi has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Do-Joon Yi's work include Face Recognition and Perception (12 papers), Visual perception and processing mechanisms (10 papers) and Neural dynamics and brain function (7 papers). Do-Joon Yi is often cited by papers focused on Face Recognition and Perception (12 papers), Visual perception and processing mechanisms (10 papers) and Neural dynamics and brain function (7 papers). Do-Joon Yi collaborates with scholars based in South Korea, United States and China. Do-Joon Yi's co-authors include Marvin M. Chun, René Marois, Nicholas B. Turk‐Browne, David M Widders, Geoffrey F. Woodman, Christian C. Luhmann, Daeyeol Lee, Xiao‐Jing Wang, Kyungmi Kim and Soojin Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Do-Joon Yi

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Do-Joon Yi South Korea 15 1.1k 214 108 97 73 28 1.3k
Chiara Della Libera Italy 11 1.4k 1.3× 267 1.2× 68 0.6× 120 1.2× 61 0.8× 20 1.5k
Naseem Al-Aidroos Canada 18 913 0.8× 236 1.1× 56 0.5× 137 1.4× 77 1.1× 44 1.0k
Yuan Chang Leong United States 10 915 0.8× 214 1.0× 30 0.3× 161 1.7× 122 1.7× 21 1.2k
Lucie Charles United Kingdom 10 814 0.7× 134 0.6× 47 0.4× 102 1.1× 33 0.5× 20 905
Jiefeng Jiang United States 22 975 0.9× 245 1.1× 23 0.2× 80 0.8× 83 1.1× 50 1.3k
‪Søren K. Andersen Germany 25 1.8k 1.6× 317 1.5× 79 0.7× 160 1.6× 29 0.4× 49 1.9k
Patryk A. Laurent United States 14 1.5k 1.4× 384 1.8× 64 0.6× 134 1.4× 120 1.6× 19 1.7k
Jason M. Scimeca United States 15 889 0.8× 194 0.9× 66 0.6× 237 2.4× 87 1.2× 19 1.1k
Vinitha Rangarajan United States 12 1.1k 0.9× 166 0.8× 73 0.7× 66 0.7× 130 1.8× 14 1.2k
Timothy J. Vickery United States 12 540 0.5× 163 0.8× 88 0.8× 93 1.0× 54 0.7× 30 647

Countries citing papers authored by Do-Joon Yi

Since Specialization
Citations

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

Fields of papers citing papers by Do-Joon Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do-Joon Yi. 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 Do-Joon Yi. The network helps show where Do-Joon Yi may publish in the future.

Co-authorship network of co-authors of Do-Joon Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Do-Joon Yi. A scholar is included among the top collaborators of Do-Joon Yi 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 Do-Joon Yi. Do-Joon Yi 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.
Yi, Do-Joon, et al.. (2025). Resolving whole-brain alpha traveling waves across brain states. NeuroImage. 322. 121538–121538. 1 indexed citations
2.
Hua, Wei, et al.. (2025). Multi-granularity classification of upper gastrointestinal endoscopic images. Neurocomputing. 626. 129564–129564. 5 indexed citations
3.
Yi, Do-Joon, et al.. (2020). Validation of a mobile game-based assessment of cognitive control among children and adolescents. PLoS ONE. 15(3). e0230498–e0230498. 22 indexed citations
4.
Lee, Hongmi, Kyungmi Kim, & Do-Joon Yi. (2019). Preexperimental stimulus familiarity modulates the effects of item repetition on source memory.. Journal of Experimental Psychology Learning Memory and Cognition. 46(3). 539–548. 5 indexed citations
5.
Choi, Jae Chan, Jinhee Kim, Eun‐Hee Kang, et al.. (2015). Brain mechanisms of pain relief by transcutaneous electrical nerve stimulation: A functional magnetic resonance imaging study. European Journal of Pain. 20(1). 92–105. 30 indexed citations
6.
Kim, Hyunji, Simone Schnall, Do-Joon Yi, & Mathew P. White. (2013). Social distance decreases responders’ sensitivity to fairness in the ultimatum game. Judgment and Decision Making. 8(5). 632–638. 27 indexed citations
7.
Kim, Kyungmi & Do-Joon Yi. (2013). Out of Mind, Out of Sight. Psychological Science. 24(4). 569–574. 35 indexed citations
8.
Kim, Kyungmi, Do-Joon Yi, Carol L. Raye, & Marcia K. Johnson. (2012). Negative effects of item repetition on source memory. Memory & Cognition. 40(6). 889–901. 14 indexed citations
9.
Shen, Min, et al.. (2012). Dilution and redundancy effects on Stroop interference. Journal of Vision. 12(9). 395–395. 1 indexed citations
10.
Choi, Jae Chan, Do-Joon Yi, Bong Soo Han, et al.. (2011). Placebo effects on analgesia related to testosterone and premotor activation. Neuroreport. 22(9). 419–423. 17 indexed citations
11.
Park, Soojin, Helene Intraub, David M Widders, Do-Joon Yi, & Marvin M. Chun. (2010). Boundary extension: Filling-out scene layout information in human parahippocampal cortex. Journal of Vision. 6(6). 802–802.
12.
Luhmann, Christian C., Marvin M. Chun, Do-Joon Yi, Daeyeol Lee, & Xiao‐Jing Wang. (2008). Neural Dissociation of Delay and Uncertainty in Intertemporal Choice. Journal of Neuroscience. 28(53). 14459–14466. 125 indexed citations
13.
Park, Soojin, Helene Intraub, Do-Joon Yi, David M Widders, & Marvin M. Chun. (2007). Beyond the Edges of a View: Boundary Extension in Human Scene-Selective Visual Cortex. Neuron. 54(2). 335–342. 90 indexed citations
14.
Turk‐Browne, Nicholas B., Do-Joon Yi, & Marvin M. Chun. (2006). Linking Implicit and Explicit Memory: Common Encoding Factors and Shared Representations. Neuron. 49(6). 917–927. 180 indexed citations
15.
Yi, Do-Joon, Todd A. Kelley, René Marois, & Marvin M. Chun. (2006). Attentional modulation of repetition attenuation is anatomically dissociable for scenes and faces. Brain Research. 1080(1). 53–62. 71 indexed citations
16.
Yi, Do-Joon & Marvin M. Chun. (2005). Attentional Modulation of Learning-Related Repetition Attenuation Effects in Human Parahippocampal Cortex. Journal of Neuroscience. 25(14). 3593–3600. 133 indexed citations
17.
Yi, Do-Joon, Ingrid R. Olson, & Marvin M. Chun. (2005). Shape-specific perceptual learning in a figure-ground segregation task. Vision Research. 46(6-7). 914–924. 10 indexed citations
18.
Yi, Do-Joon, Geoffrey F. Woodman, David M Widders, René Marois, & Marvin M. Chun. (2004). Neural fate of ignored stimuli: dissociable effects of perceptual and working memory load. Nature Neuroscience. 7(9). 992–996. 180 indexed citations
19.
Marois, René, Do-Joon Yi, & Marvin M. Chun. (2004). The Neural Fate of Consciously Perceived and Missed Events in the Attentional Blink. Neuron. 41(3). 465–472. 221 indexed citations
20.
Yi, Do-Joon, Min‐Shik Kim, & Marvin M. Chun. (2003). Inhibition of return to occluded objects. Perception & Psychophysics. 65(8). 1222–1230. 8 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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