Seul-Ki Yeom

555 total citations
10 papers, 347 citations indexed

About

Seul-Ki Yeom is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Seul-Ki Yeom has authored 10 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Seul-Ki Yeom's work include EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (4 papers) and Face Recognition and Perception (2 papers). Seul-Ki Yeom is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (4 papers) and Face Recognition and Perception (2 papers). Seul-Ki Yeom collaborates with scholars based in South Korea, Germany and United States. Seul-Ki Yeom's co-authors include Seong‐Whan Lee, Klaus‐Robert Müller, Heung‐Il Suk, Sebastian Lapuschkin, Alexander Binder, Philipp Seegerer, Simon Wiedemann, Wojciech Samek, Siamac Fazli and Giulio Tononi and has published in prestigious journals such as PLoS ONE, Pattern Recognition and PubMed.

In The Last Decade

Seul-Ki Yeom

10 papers receiving 340 citations

Peers

Seul-Ki Yeom

CN

CMN

AI

CVPR

EEE

Wenlong Hang China

Shubham Dodia India

Xue Jiang China

Morteza Alamgir Germany

Adam Page United States

Rahul Kumar Chaurasiya India

Harsh Gupta India

Cédric Gouy‐Pailler France

Markus Varsta Italy

Vincent Guigue France

Wenlong Hang China

Seul-Ki Yeom

157 ×0.8

CN

47 ×0.6

CMN

130 ×1.5

AI

128 ×1.9

CVPR

47 ×0.8

EEE

Citations per year, relative to Seul-Ki Yeom Seul-Ki Yeom (= 1×) peers Wenlong Hang

Countries citing papers authored by Seul-Ki Yeom

Since Specialization

Citations

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

Fields of papers citing papers by Seul-Ki Yeom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seul-Ki Yeom. 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 Seul-Ki Yeom. The network helps show where Seul-Ki Yeom may publish in the future.

Co-authorship network of co-authors of Seul-Ki Yeom

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

All Works

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10 of 10 papers shown

1.

Yeom, Seul-Ki, et al.. (2025). U-MixFormer: UNet-Like Transformer with Mix-Attention for Efficient Semantic Segmentation. 1–10. 2 indexed citations

2.

Yeom, Seul-Ki, Philipp Seegerer, Sebastian Lapuschkin, et al.. (2021). Pruning by explaining: A novel criterion for deep neural network pruning. Pattern Recognition. 115. 107899–107899. 144 indexed citations

3.

Lee, Minji, Seul-Ki Yeom, Benjamin Baird, et al.. (2018). Spatio-temporal analysis of EEG signal during consciousness using convolutional neural network. Open Repository and Bibliography (University of Liège). 150. 1–3. 10 indexed citations

4.

Sanders, Robert D., Seul-Ki Yeom, Dong-Ok Won, et al.. (2017). Change in functional networks for transitions between states of consciousness during midazolam-induced sedation. PubMed. 2017. 958–961. 6 indexed citations

5.

Yeom, Seul-Ki, et al.. (2017). EEG-based Classification of Consciousness during Sedation Using Global Spectra Principal Components. 110. 799–803. 1 indexed citations

6.

Yeom, Seul-Ki, Siamac Fazli, Klaus‐Robert Müller, & Seong‐Whan Lee. (2014). An Efficient ERP-Based Brain-Computer Interface Using Random Set Presentation and Face Familiarity. PLoS ONE. 9(11). e111157–e111157. 71 indexed citations

7.

Yeom, Seul-Ki, Siamac Fazli, & Seong‐Whan Lee. (2014). P300 visual speller based on random set presentation. 113. 1–2. 6 indexed citations

8.

Yeom, Seul-Ki, Siamac Fazli, Jan Mehnert, et al.. (2013). Multimodal imaging technique for rapid response brain-computer interface feedback. 92–94. 3 indexed citations

9.

Yeom, Seul-Ki, et al.. (2013). Eeg-based person authentication using face stimuli. 58–61. 13 indexed citations

10.

Yeom, Seul-Ki, Heung‐Il Suk, & Seong‐Whan Lee. (2012). Person authentication from neural activity of face-specific visual self-representation. Pattern Recognition. 46(4). 1159–1169. 91 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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