Suh-Yeon Dong

928 total citations
34 papers, 663 citations indexed

About

Suh-Yeon Dong is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Suh-Yeon Dong has authored 34 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 10 papers in Experimental and Cognitive Psychology and 8 papers in Social Psychology. Recurrent topics in Suh-Yeon Dong's work include EEG and Brain-Computer Interfaces (10 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). Suh-Yeon Dong is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). Suh-Yeon Dong collaborates with scholars based in South Korea, United States and Singapore. Suh-Yeon Dong's co-authors include Bo-Kyeong Kim, Soo-Young Lee, Jihyeon Roh, Inchan Youn, Da-Mi Jeong, Byung‐Gyu Kim, Hee Su Park, Miran Lee, Soyeon Park and Soo Young Lee and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Suh-Yeon Dong

28 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suh-Yeon Dong South Korea 14 279 276 167 124 109 34 663
Wen-Hung Chao Taiwan 7 225 0.8× 111 0.4× 260 1.6× 95 0.8× 137 1.3× 20 587
Umur Aybars Çiftçi United States 6 410 1.5× 725 2.6× 125 0.7× 93 0.8× 121 1.1× 12 1.0k
Dimitris Manousos Greece 12 284 1.0× 105 0.4× 163 1.0× 91 0.7× 82 0.8× 20 669
Alice Othmani France 15 440 1.6× 215 0.8× 283 1.7× 71 0.6× 46 0.4× 52 1.0k
Andrzej Majkowski Poland 12 220 0.8× 117 0.4× 298 1.8× 50 0.4× 45 0.4× 59 607
Matteo Spezialetti Italy 17 213 0.8× 72 0.3× 341 2.0× 60 0.5× 121 1.1× 36 782
Dennis Majoe Switzerland 16 148 0.5× 76 0.3× 303 1.8× 71 0.6× 76 0.7× 39 595
Claus Marberger Germany 7 401 1.4× 64 0.2× 204 1.2× 253 2.0× 183 1.7× 13 833
Yingying Jiao China 7 305 1.1× 57 0.2× 358 2.1× 64 0.5× 61 0.6× 22 517
Shaun Canavan United States 13 680 2.4× 734 2.7× 346 2.1× 102 0.8× 139 1.3× 53 1.3k

Countries citing papers authored by Suh-Yeon Dong

Since Specialization
Citations

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

Fields of papers citing papers by Suh-Yeon Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suh-Yeon Dong. 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 Suh-Yeon Dong. The network helps show where Suh-Yeon Dong may publish in the future.

Co-authorship network of co-authors of Suh-Yeon Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Suh-Yeon Dong. A scholar is included among the top collaborators of Suh-Yeon Dong 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 Suh-Yeon Dong. Suh-Yeon Dong 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.
Dong, Suh-Yeon, et al.. (2025). Exploring Functional Connectivity in Attention Deficit/Hyperactivity Disorder: A Functional Near-Infrared Spectroscopy Study With Machine Learning Analysis. IEEE Journal of Biomedical and Health Informatics. 29(10). 7473–7485.
2.
Dong, Suh-Yeon, et al.. (2024). Multi-Task Learning by Leveraging Non-Contact Heart Rate for Robust Facial Emotion Recognition. IEEE Access. 12. 92175–92180.
3.
Dong, Suh-Yeon, et al.. (2023). Classification of Companion Animals’ Ocular Diseases: Domain Adversarial Learning for Imbalanced Data. IEEE Access. 11. 143948–143955. 1 indexed citations
4.
Dong, Suh-Yeon, et al.. (2023). Mixed-reality-based human-animal interaction can relieve mental stress. Frontiers in Veterinary Science. 10. 1102937–1102937. 5 indexed citations
5.
Dong, Suh-Yeon, et al.. (2023). Effects of Interaction with Virtual Pets on Self-Disclosure in Mixed Reality. 1–9. 2 indexed citations
6.
Park, Soyeon, Bo-Kyeong Kim, & Suh-Yeon Dong. (2022). Self-Supervised RGB-NIR Fusion Video Vision Transformer Framework for rPPG Estimation. IEEE Transactions on Instrumentation and Measurement. 71. 1–10. 31 indexed citations
7.
Kim, Sang‐Ha, et al.. (2022). Predictions of tDCS treatment response in PTSD patients using EEG based classification. Frontiers in Psychiatry. 13. 876036–876036. 8 indexed citations
8.
Kim, Sang‐Ha, et al.. (2022). A Framework for Auxiliary Diagnosis of Pet Disease using Deep Learning. Journal of Korea Multimedia Society. 25(12). 1804–1813. 1 indexed citations
9.
Dong, Suh-Yeon, et al.. (2022). Deep learning-based self-induced emotion recognition using EEG. Frontiers in Neuroscience. 16. 985709–985709. 9 indexed citations
10.
Lee, Hyeonju, et al.. (2021). Mobile Application for Real-Time Monitoring of Concentration Based on fNIRS. Journal of Korea Multimedia Society. 24(2). 295–304.
11.
12.
Jeong, Da-Mi, Byung‐Gyu Kim, & Suh-Yeon Dong. (2020). Deep Joint Spatiotemporal Network (DJSTN) for Efficient Facial Expression Recognition. Sensors. 20(7). 1936–1936. 80 indexed citations
13.
Park, Hee Su, et al.. (2019). Ambulatory and Laboratory Stress Detection Based on Raw Electrocardiogram Signals Using a Convolutional Neural Network. Sensors. 19(20). 4408–4408. 40 indexed citations
14.
Dong, Suh-Yeon, et al.. (2019). Neural Correlates of Variations in Human Trust in Human-like Machines during Non-reciprocal Interactions. Scientific Reports. 9(1). 9975–9975. 16 indexed citations
15.
Lee, Miran, et al.. (2018). A Novel R Peak Detection Method for Mobile Environments. IEEE Access. 6. 51227–51237. 27 indexed citations
16.
Dong, Suh-Yeon, Miran Lee, Hee Su Park, & Inchan Youn. (2018). Stress Resilience Measurement With Heart-Rate Variability During Mental And Physical Stress. PubMed. 2018. 5290–5293. 25 indexed citations
17.
Park, Hee Su, Suh-Yeon Dong, Miran Lee, & Inchan Youn. (2017). The Role of Heart-Rate Variability Parameters in Activity Recognition and Energy-Expenditure Estimation Using Wearable Sensors. Sensors. 17(7). 1698–1698. 33 indexed citations
19.
Dong, Suh-Yeon, Bo-Kyeong Kim, & Soo-Young Lee. (2015). Implicit agreeing/disagreeing intention while reading self-relevant sentences: A human fMRI study. Social Neuroscience. 11(3). 221–232. 4 indexed citations
20.
Lee, Soo-Young & Suh-Yeon Dong. (2013). Understanding Human Implicit Intention While Reading Self-relevant Sentences: An fMRI Study. 2 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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