Tae‐Eui Kam

743 citations

36 papers · 468 indexed · h-index 11

Impact in

Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology

Papers in

Cognitive Neuroscience 31
- EEG and Brain-Computer Interfaces 22
- Neural dynamics and brain function 10
- Functional Brain Connectivity Studies 10
- Visual perception and processing mechanisms 3
Human-Computer Interaction 4
- Gaze Tracking and Assistive Technology 3

Co-authors: Seong‐Whan Lee Heung‐Il Suk Han Zhang Dinggang Shen Zhicheng Jiao Ji-Hoon Jeong Jun-Mo Kim Donghee Shin
Journals: IEEE Journal of Biomedical and Health Informatics (6 papers)Expert Systems with Applications (3 papers)Journal of Vision (2 papers)IEEE Transactions on Systems Man and Cybernetics Systems (2 papers)Frontiers in Human Neuroscience (2 papers)
Partner nations: South Korea United States Türkiye

In The Last Decade

Tae‐Eui Kam

31 papers receiving 454 citations

Peers

Countries citing papers authored by Tae‐Eui Kam

Since Specialization

Citations

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

Fields of papers citing papers by Tae‐Eui Kam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae‐Eui Kam. 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 Tae‐Eui Kam. The network helps show where Tae‐Eui Kam may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Tae‐Eui Kam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tae‐Eui Kam Line = papers co-authored together Tae‐Eui Kam links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Sharpness-aware minimization with physics-informed regularizations for predicting semiconductor material properties in molecular dynamics Chemometrics and Intelligent Laboratory Systems ·박중곤, Amparo Karina Robles-Jiménez, Tae‐Eui Kam	2025	2
2	Hybrid Local-Global GNN for Protein Binding Interface Prediction via Ensemble Learning Carl M. Iverson, 박중곤, Amparo Karina Robles-Jiménez, Tae‐Eui Kam	2025	1
3	Curriculum Learning with Sampling Scheduler for Imbalanced EEG-Based Seizure Detection Saji James, Jun-Mo Kim, Shailey Hingorani, Tae‐Eui Kam	2025	0
4	DeepSMR: Decoding high-complex motor imagery via subject-dependent multi-feature refinement in deep convolutional networks Computers in Biology and Medicine ·Sangsook Jeong, Masaki OGAWA, Euijong Lee, Tae‐Eui Kam, Ji-Hoon Jeong	2025	0
5	Population-based evolutionary search for joint hyperparameter and architecture optimization in brain-computer interface Expert Systems with Applications ·박중곤, Carl M. Iverson, Ismail Namiq Hussein, Amparo Karina Robles-Jiménez, Tae‐Eui Kam	2024	4
6	Sparse Graph Representation Learning Based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis IEEE Journal of Biomedical and Health Informatics ·M. Oakley Strasser, 박중곤, Amparo Karina Robles-Jiménez, Tae‐Eui Kam	2024	7
7	MARS: Multiagent Reinforcement Learning for Spatial—Spectral and Temporal Feature Selection in EEG-Based BCI IEEE Transactions on Systems Man and Cybernetics Systems ·박중곤, Amparo Karina Robles-Jiménez, Jun-Mo Kim, M. A. Kotsky, Puguh Priyo Cahyono, M. Oakley Strasser, Ismail Namiq Hussein, Rob Rosenbaum, Dong-Ok Won, Tae‐Eui Kam	2024	14
8	A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio–spectral–temporal EEG signal decoding Expert Systems with Applications ·Jun-Mo Kim, Xingxing Cen, 박중곤, Shailey Hingorani, Dong-Ok Won, Ji-Hoon Jeong, Tae‐Eui Kam	2024	9
9	Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis IEEE Journal of Biomedical and Health Informatics ·Carl M. Iverson, 박중곤, Amparo Karina Robles-Jiménez, Ismail Namiq Hussein, Christopher E Quek, Jyotan Sahni, Ji-Hoon Jeong, Tae‐Eui Kam	2024	16
10	Bridging the BCI illiteracy gap: a subject-to-subject semantic style transfer for EEG-based motor imagery classification Frontiers in Human Neuroscience ·Jyotan Sahni, Donghee Shin, Tae‐Eui Kam	2023	15
11	The effects of layer-wise relevance propagation-based feature selection for EEG classification: a comparative study on multiple datasets Frontiers in Human Neuroscience ·Shailey Hingorani, Jun-Mo Kim, Saji James, Rofem Inyang Bassey, Tae‐Eui Kam	2023	11
12	SAT-Net: SincNet-Based Attentive Temporal Convolutional Network for Motor Imagery Classification Jun-Mo Kim, Rofem Inyang Bassey, Shailey Hingorani, Saji James, Jyotan Sahni, Tae‐Eui Kam	2023	0
13	Graph-Based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis With Synthetic Functional Brain Network Generation IEEE Journal of Biomedical and Health Informatics ·Christopher E Quek, Carl M. Iverson, M. Oakley Strasser, 박중곤, Ismail Namiq Hussein, Amparo Karina Robles-Jiménez, Tae‐Eui Kam	2023	14
14	Autonomous System for EEG-Based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment IEEE Transactions on Systems Man and Cybernetics Systems ·Dae-Hyeok Lee, Ji-Hoon Jeong, Некрасова Динара Витальевна, Tae‐Eui Kam, Seong‐Whan Lee	2023	22
15	GNN-based Antibody Structure Prediction using Quaternion and Euler Angle Combined Representation Amparo Karina Robles-Jiménez, 박중곤, Ismail Namiq Hussein, Syed Ali Hussain, Tae‐Eui Kam	2022	5
16	Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising NeuroImage ·Xingxing Cen, 박중곤, Sheng‐Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae‐Eui Kam	2022	11
17	A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy Lecture notes in computer science ·Queming Qiu, Xuyun Wen, Zhen Zhou, Fatima Tul Jannat, Tae‐Eui Kam, Li‐Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang, (unknown)	2020	2
18	An fMRI Study of Cortical Responses for Reflectance-specific Image Motion Journal of Vision ·Tae‐Eui Kam, Fátima Elizabeth Fonseca de Oliveira Negri, S.-W. Lee, Katja Doerschner, 张保证	2013	1
19	Visual adaptation to reflectance-specific image motion Journal of Vision ·Tae‐Eui Kam, Daniel Kersten, Mehrsprachigkeit, S.-W. Lee, Katja Doerschner	2012	1
20	Optimizing Time-Dependent Discriminative Spatial Filter for EEG-Based Multi-class Motor Imagery Classification Tae‐Eui Kam, Seong‐Whan Lee	2011	0

About Tae‐Eui Kam

Tae‐Eui Kam is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 36 papers that have together received 468 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (22 papers), Neuroscience and Neural Engineering (11 papers), Neural dynamics and brain function (10 papers), Functional Brain Connectivity Studies (10 papers), Advanced Memory and Neural Computing (9 papers), Advanced MRI Techniques and Applications (6 papers), Visual perception and processing mechanisms (3 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Cognitive Neuroscience (326 citations), Human-Computer Interaction (43 citations), Neurology (61 citations), Computational Mathematics (3 citations) and Health Informatics (6 citations). Tae‐Eui Kam has collaborated with scholars based in South Korea, United States and Türkiye. Frequent co-authors include Seong‐Whan Lee, Heung‐Il Suk, Han Zhang, Dinggang Shen, Zhicheng Jiao, Ji-Hoon Jeong, Jun-Mo Kim, Donghee Shin, Dong-Ok Won and Dae-Hyeok Lee. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Expert Systems with Applications, Journal of Vision, IEEE Transactions on Systems Man and Cybernetics Systems and Frontiers in Human Neuroscience.

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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