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OpenAlex Citation Counts

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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:

On the Deep Learning Models for EEG-Based Brain-Computer Interface Using Motor Imagery
Hao Zhu, Dylan Forenzo, Bin He
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2283-2291
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Status of deep learning for EEG-based brain–computer interface applications
Khondoker Murad Hossain, Md. Ariful Islam, Shahera Hossain, et al.
Frontiers in Computational Neuroscience (2023) Vol. 16
Open Access | Times Cited: 47
Multiclass classification of motor imagery tasks based on multi-branch convolutional neural network and temporal convolutional network model
Shiqi Yu, Zedong Wang, Fei Wang, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 9
A Comprehensive Review on Brain–Computer Interface (BCI)-Based Machine and Deep Learning Algorithms for Stroke Rehabilitation
Walaa H. Elashmawi, A Aly Ayman, Mina Antoun, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6347-6347
Open Access | Times Cited: 8
A Spatial Filter Temporal Graph Convolutional Network for decoding motor imagery EEG signals
Xianlun Tang, Jing Zhang, Yidan Qi, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121915-121915
Closed Access | Times Cited: 18
Classification of Motor-Imagery Tasks Using a Large EEG Dataset by Fusing Classifiers Learning on Wavelet-Scattering Features
Tuan D. Pham
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1097-1107
Open Access | Times Cited: 14
A robust multi-branch multi-attention-mechanism EEGNet for motor imagery BCI decoding
Haodong Deng, Mengfan Li, Jundi Li, et al.
Journal of Neuroscience Methods (2024) Vol. 405, pp. 110108-110108
Closed Access | Times Cited: 5
Self-attention-based 1DCNN model for multiclass EEG emotion classification
Satyam Raikwar, A. V. R. Mayuri
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
The effects of layer-wise relevance propagation-based feature selection for EEG classification: a comparative study on multiple datasets
Hyeonyeong Nam, Jun-Mo Kim, WooHyeok Choi, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 11
A Survey of EEG and Machine Learning-Based Methods for Neural Rehabilitation
Jaiteg Singh, Farman Ali, Rupali Gill, et al.
IEEE Access (2023) Vol. 11, pp. 114155-114171
Open Access | Times Cited: 11
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
Functional Mapping of the Brain for Brain–Computer Interfacing: A Review
Satya P. Singh, Sachin Mishra, Sukrit Gupta, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 604-604
Open Access | Times Cited: 9
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training
Georgios Zoumpourlis, Ioannis Patras
(2024), pp. 1-8
Open Access | Times Cited: 3
Continuous tracking using deep learning-based decoding for noninvasive brain–computer interface
Dylan Forenzo, Hao Zhu, J.G. Shanahan, et al.
PNAS Nexus (2024) Vol. 3, Iss. 4
Open Access | Times Cited: 3
An Intrinsically Explainable Method to Decode P300 Waveforms from EEG Signal Plots Based on Convolutional Neural Networks
Brian Ezequiel Ail, Rodrigo Ramele, Juliana Gambini, et al.
Brain Sciences (2024) Vol. 14, Iss. 8, pp. 836-836
Open Access | Times Cited: 3
Thought-Controlled Computer Applications: A Brain–Computer Interface System for Severe Disability Support
Kais Belwafi, Fakhreddine Ghaffari
Sensors (2024) Vol. 24, Iss. 20, pp. 6759-6759
Open Access | Times Cited: 3
PSAEEGNet: pyramid squeeze attention mechanism-based CNN for single-trial EEG classification in RSVP task
Zijian Yuan, Qian Zhou, Baozeng Wang, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
Efficient Predefined Time Adaptive Neural Network for Motor Execution EEG Signal Classification based Brain-Computer Interaction
N N Jose, Deipali Vikram Gore, G Vivekanandan, et al.
Knowledge-Based Systems (2024) Vol. 303, pp. 112270-112270
Closed Access | Times Cited: 2
Exploiting Asymmetric EEG Signals with EFD in Deep Learning Domain for Robust BCI
Binwen Huang, Haiqin Xu, Yuan Miao, et al.
Symmetry (2022) Vol. 14, Iss. 12, pp. 2677-2677
Open Access | Times Cited: 8
A Domain Adaptation Deep Learning Network for EEG-Based Motor Imagery Classification
Jie Jiao, Yijie Pan, Hefan Zhou, et al.
Communications in computer and information science (2024), pp. 101-112
Closed Access | Times Cited: 1
Integrating Simultaneous Motor Imagery and Spatial Attention for EEG-BCI Control
Dylan Forenzo, Yixuan Liu, Jeehyun Kim, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 71, Iss. 1, pp. 282-294
Open Access | Times Cited: 3
Integrating simultaneous motor imagery and spatial attention for EEG-BCI control
Dylan Forenzo, Yixuan Liu, Jeehyun Kim, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Comprehensive Study on RS_FMRI and EEG Using Deep Learning Approach for Brain Stroke
Sunkara Mounika, S R Reeja
(2023), pp. 384-388
Closed Access | Times Cited: 2
Enhanced Nanoelectronic Detection and Classification of Motor Imagery Electroencephalogram Signal Using a Hybrid Framework
Mohammad Khalid Imam Rahmani, Sultan Ahmad, Mohammad Rashid Hussain, et al.
Journal of Nanoelectronics and Optoelectronics (2023) Vol. 18, Iss. 10, pp. 1254-1263
Closed Access | Times Cited: 2
Immediate effects of short-term meditation on sensorimotor rhythm-based brain–computer interface performance
Jeehyun Kim, Xiyuan Jiang, Dylan Forenzo, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 4
Assessment of Attention-based Deep Learning Architectures for Classifying EEG in ADHD and Typical Children
Mingzhu Han, Guoqin Jin, Wei Li
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access
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