Tae‐Eui Kam

743 total citations
36 papers, 468 citations indexed

About

Tae‐Eui Kam is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Tae‐Eui Kam has authored 36 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Tae‐Eui Kam's work include EEG and Brain-Computer Interfaces (22 papers), Neuroscience and Neural Engineering (11 papers) and Neural dynamics and brain function (10 papers). Tae‐Eui Kam is often cited by papers focused on EEG and Brain-Computer Interfaces (22 papers), Neuroscience and Neural Engineering (11 papers) and Neural dynamics and brain function (10 papers). Tae‐Eui Kam collaborates with scholars based in South Korea, United States and Türkiye. Tae‐Eui Kam's 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 and has published in prestigious journals such as NeuroImage, Expert Systems with Applications and IEEE Transactions on Medical Imaging.

In The Last Decade

Tae‐Eui Kam

31 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae‐Eui Kam South Korea 11 326 72 70 61 60 36 468
Zafer İşcan Türkiye 10 372 1.1× 93 1.3× 79 1.1× 90 1.5× 63 1.1× 19 569
Erik Anderson United States 11 316 1.0× 55 0.8× 40 0.6× 83 1.4× 36 0.6× 22 535
Xingwei An China 14 488 1.5× 163 2.3× 39 0.6× 86 1.4× 30 0.5× 90 730
Melissa Zavaglia Germany 13 385 1.2× 95 1.3× 91 1.3× 43 0.7× 22 0.4× 27 582
Phattarapong Sawangjai Thailand 6 299 0.9× 58 0.8× 18 0.3× 22 0.4× 31 0.5× 10 402
Mengni Zhou China 8 542 1.7× 53 0.7× 38 0.5× 70 1.1× 70 1.2× 21 625
Zhiguo Luo China 10 246 0.8× 93 1.3× 51 0.7× 18 0.3× 20 0.3× 27 339
Elena Pitsik Russia 11 444 1.4× 68 0.9× 32 0.5× 23 0.4× 66 1.1× 53 584
Chang Cai China 14 308 0.9× 32 0.4× 100 1.4× 32 0.5× 34 0.6× 37 455

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 of co-authors of Tae‐Eui Kam

This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐Eui Kam. A scholar is included among the top collaborators of Tae‐Eui Kam 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 Tae‐Eui Kam. Tae‐Eui Kam 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.
Kam, Tae‐Eui, et al.. (2025). Sharpness-aware minimization with physics-informed regularizations for predicting semiconductor material properties in molecular dynamics. Chemometrics and Intelligent Laboratory Systems. 267. 105511–105511. 2 indexed citations
2.
Kam, Tae‐Eui, et al.. (2025). Hybrid Local-Global GNN for Protein Binding Interface Prediction via Ensemble Learning. 1–4. 1 indexed citations
3.
4.
Lee, Euijong, et al.. (2025). DeepSMR: Decoding high-complex motor imagery via subject-dependent multi-feature refinement in deep convolutional networks. Computers in Biology and Medicine. 197(Pt A). 110920–110920.
5.
Kam, Tae‐Eui, et al.. (2024). Population-based evolutionary search for joint hyperparameter and architecture optimization in brain-computer interface. Expert Systems with Applications. 264. 125832–125832. 4 indexed citations
6.
Kam, Tae‐Eui, et al.. (2024). Sparse Graph Representation Learning Based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis. IEEE Journal of Biomedical and Health Informatics. 28(8). 4842–4853. 7 indexed citations
7.
Kim, Jun-Mo, et al.. (2024). MARS: Multiagent Reinforcement Learning for Spatial—Spectral and Temporal Feature Selection in EEG-Based BCI. IEEE Transactions on Systems Man and Cybernetics Systems. 54(5). 3084–3096. 14 indexed citations
8.
Kim, Jun-Mo, et al.. (2024). A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio–spectral–temporal EEG signal decoding. Expert Systems with Applications. 251. 123975–123975. 9 indexed citations
9.
Jeong, Ji-Hoon, et al.. (2024). Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis. IEEE Journal of Biomedical and Health Informatics. 28(5). 2967–2978. 16 indexed citations
10.
Shin, Donghee, et al.. (2023). Bridging the BCI illiteracy gap: a subject-to-subject semantic style transfer for EEG-based motor imagery classification. Frontiers in Human Neuroscience. 17. 1194751–1194751. 15 indexed citations
11.
Kim, Jun-Mo, et al.. (2023). The effects of layer-wise relevance propagation-based feature selection for EEG classification: a comparative study on multiple datasets. Frontiers in Human Neuroscience. 17. 1205881–1205881. 11 indexed citations
12.
13.
Kam, Tae‐Eui, et al.. (2023). Graph-Based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis With Synthetic Functional Brain Network Generation. IEEE Journal of Biomedical and Health Informatics. 28(3). 1504–1515. 14 indexed citations
14.
Lee, Dae-Hyeok, et al.. (2023). 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. 53(10). 6426–6437. 22 indexed citations
15.
16.
Hung, Sheng‐Che, et al.. (2022). Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising. NeuroImage. 254. 119127–119127. 11 indexed citations
17.
Wen, Xuyun, Zhen Zhou, Tae‐Eui Kam, et al.. (2020). A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. Lecture notes in computer science. 12267. 13–21. 2 indexed citations
18.
Kam, Tae‐Eui, et al.. (2013). An fMRI Study of Cortical Responses for Reflectance-specific Image Motion. Journal of Vision. 13(9). 203–203. 1 indexed citations
19.
Kam, Tae‐Eui, et al.. (2012). Visual adaptation to reflectance-specific image motion. Journal of Vision. 12(9). 871–871. 1 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zafer İşcan Breakdown of academic impact, for papers by Erik Anderson Breakdown of academic impact, for papers by Xingwei An Breakdown of academic impact, for papers by Melissa Zavaglia Breakdown of academic impact, for papers by Phattarapong Sawangjai Breakdown of academic impact, for papers by Mengni Zhou Breakdown of academic impact, for papers by Zhiguo Luo Breakdown of academic impact, for papers by Elena Pitsik Breakdown of academic impact, for papers by Chang Cai
Rankless by CCL
2026