Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-Based EEG Signals
Sungjin Kim, Dae-Hyeok Lee, Seong‐Whan Lee
IEEE Access (2022) Vol. 10, pp. 96984-96996
Open Access | Times Cited: 22

Showing 22 citing articles:

Toward Domain-Free Transformer for Generalized EEG Pre-Training
Sung-Jin Kim, Dae-Hyeok Lee, Heon-Gyu Kwak, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 482-492
Open Access | Times Cited: 5
Deep learning in motor imagery EEG signal decoding: A Systematic Review
Aurora Saibene, Hafez Ghaemi, Eda Dağdevır
Neurocomputing (2024) Vol. 610, pp. 128577-128577
Closed Access | Times Cited: 4
Motor imagery classification using a novel CNN in EEG-BCI with common average reference and sliding window techniques
Konda Gurava Reddy Atla, Rajeev Sharma
Alexandria Engineering Journal (2025) Vol. 120, pp. 532-546
Closed Access
GLEAM: A multimodal deep learning framework for chronic lower back pain detection using EEG and sEMG signals
Sagnik De, Prithwijit Mukherjee, Anisha Halder Roy
Computers in Biology and Medicine (2025) Vol. 189, pp. 109928-109928
Closed Access
Autonomous System for EEG-Based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment
Dae-Hyeok Lee, Ji-Hoon Jeong, Baek-Woon Yu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 10, pp. 6426-6437
Open Access | Times Cited: 9
Enhancing motor imagery classification: a novel CNN with self-attention using local and global features of filtered EEG data
Arun Reddy, Rajeev Sharma
Connection Science (2024) Vol. 36, Iss. 1
Closed Access | Times Cited: 2
Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification
Xiaoli Zhang, Yongxionga Wang, Yiheng Tang, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 1
Enhancing motor imagery EEG signal decoding through machine learning: A systematic review of recent progress
Ibrahim A. Hameed, Danish M. Khan, Samiha Ahmed, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109534-109534
Closed Access | Times Cited: 1
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals
Sungjin Kim, Dae-Hyeok Lee, Yeon-Woo Choi
(2023), pp. 1-4
Open Access | Times Cited: 4
Motor Imagery Classification Enhancement using Generative Adversarial Networks for EEG Spectrum Image Generation
Ahmed G. Habashi, Ahmed M. Azab, Seif Eldawlatly, et al.
(2023), pp. 354-359
Closed Access | Times Cited: 4
Enhancing EEG signals classification using LSTM‐CNN architecture
Swaleh M. Omar, Michael Kimwele, Akeem Olowolayemo, et al.
Engineering Reports (2023) Vol. 6, Iss. 9
Open Access | Times Cited: 4
Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity
Diego Collazos-Huertas, Andrés Marino Álvarez-Meza, David Cárdenas‐Peña, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2750-2750
Open Access | Times Cited: 3
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals
Dae-Hyeok Lee, Sungjin Kim, Yeon-Woo Choi
(2023), pp. 1-4
Open Access | Times Cited: 2
GCN-LSTM for EEG Classification based on Unspoken Speech of Bilinguals
Chengfang Li, Liang Song
(2023), pp. 1-4
Closed Access | Times Cited: 2
Deep Sleep Recognition Based on CNNs and Data Augmentation
Ruixuan Chen, Linfeng Sui, Mo Xia, et al.
IFIP advances in information and communication technology (2024), pp. 3-13
Closed Access
A hybrid local-global neural network for visual classification using raw EEG signals
Shuning Xue, Bu Jin, Jie Jiang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Proxy–based Masking Module for Revealing Relevance of Characteristics in Motor Imagery
Hyeon-Taek Han, Sung-Jin Kim, Dae-Hyeok Lee, et al.
(2024), pp. 1-4
Closed Access
A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images
Sung-Jin Kim, Heon-Gyu Kwak, Hyeon-Taek Han, et al.
(2024), pp. 1-5
Open Access
EEG-based driver drowsiness detection based on simulated driving environment
Xuefen Lin, Zhiqi Huang, Weifeng Ma, et al.
Neurocomputing (2024) Vol. 616, pp. 128961-128961
Closed Access
Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification
Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas‐Peña, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11208-11208
Open Access
TOINet: Transfer Learning from Overt Speech- to Imagined Speech-Based EEG Signals with Convolutional Autoencoder
Dae-Hyeok Lee, Sung-Jin Kim, Hyeon-Taek Han, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023) Vol. 2525, pp. 4441-4446
Closed Access | Times Cited: 1
Deep Learning in Motor Imagery Eeg Signal Decoding: A Systematic Review
Aurora Saibene, Hafez Ghaemi, Eda Dağdevır
(2023)
Closed Access
Page 1

Scroll to top