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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:

Deep learning for motor imagery EEG-based classification: A review
Ali Al-Saegh, Shefa A. Dawwd, Jassim M. Abdul-Jabbar
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102172-102172
Closed Access | Times Cited: 311

Showing 1-25 of 311 citing articles:

Summary of over Fifty Years with Brain-Computer Interfaces—A Review
Aleksandra Kawala-Sterniuk, Natalia Browarska, Amir F. Al-Bakri, et al.
Brain Sciences (2021) Vol. 11, Iss. 1, pp. 43-43
Open Access | Times Cited: 183
Review of Machine Learning Techniques for EEG Based Brain Computer Interface
Swati Aggarwal, Nupur Chugh
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 5, pp. 3001-3020
Closed Access | Times Cited: 148
Neural Decoding of EEG Signals with Machine Learning: A Systematic Review
Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, et al.
Brain Sciences (2021) Vol. 11, Iss. 11, pp. 1525-1525
Open Access | Times Cited: 132
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: 48
LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interfaces and interpretability
Zhengqing Miao, Meirong Zhao, Xin Zhang, et al.
NeuroImage (2023) Vol. 276, pp. 120209-120209
Open Access | Times Cited: 44
Shaping high-performance wearable robots for human motor and sensory reconstruction and enhancement
Haisheng Xia, Yuchong Zhang, Nona Rajabi, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 31
Deep learning based efficient epileptic seizure prediction with EEG channel optimization
Ranjan Jana, Imon Mukherjee
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102767-102767
Closed Access | Times Cited: 97
Transformer-based Spatial-Temporal Feature Learning for EEG Decoding
Yonghao Song, Xueyu Jia, Lie Yang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 74
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Shu Gong, Kaibo Xing, Andrzej Cichocki, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 2, pp. 348-365
Open Access | Times Cited: 73
EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery Classification
Abbas Salami, Javier Andreu-Pérez, Helge Gillmeister
IEEE Access (2022) Vol. 10, pp. 36672-36685
Open Access | Times Cited: 63
How to successfully classify EEG in motor imagery BCI: a metrological analysis of the state of the art
Pasquale Arpaïa, Antonio Espósito, Angela Natalizio, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 3, pp. 031002-031002
Closed Access | Times Cited: 63
Motor imagery EEG signal classification using image processing technique over GoogLeNet deep learning algorithm for controlling the robot manipulator
Ayça Ak, Vedat Topuz, İpek Midi
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103295-103295
Closed Access | Times Cited: 60
Classification of motor imagery EEG using deep learning increases performance in inefficient BCI users
Navneet Tibrewal, Nikki Leeuwis, Maryam Alimardani
PLoS ONE (2022) Vol. 17, Iss. 7, pp. e0268880-e0268880
Open Access | Times Cited: 57
Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications
Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari
IEEE Access (2023) Vol. 11, pp. 127271-127301
Open Access | Times Cited: 29
A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Methodology
A. S. Albahri, Z.T. Al-Qaysi, Laith Alzubaidi, et al.
International Journal of Telemedicine and Applications (2023) Vol. 2023, pp. 1-24
Open Access | Times Cited: 28
EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review
Aurora Saibene, Mirko Caglioni, Silvia Corchs, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2798-2798
Open Access | Times Cited: 24
Selective multi–view time–frequency decomposed spatial feature matrix for motor imagery EEG classification
Tian-jian Luo
Expert Systems with Applications (2024) Vol. 247, pp. 123239-123239
Closed Access | Times Cited: 12
M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery Decoding
Yiyang Qin, Banghua Yang, Sixiong Ke, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 401-411
Open Access | Times Cited: 10
Exploring the frontier: Transformer-based models in EEG signal analysis for brain-computer interfaces
Maximilian Achim Pfeffer, Sai Ho Ling, Johnny Kwok Wai Wong
Computers in Biology and Medicine (2024) Vol. 178, pp. 108705-108705
Open Access | Times Cited: 10
NF-EEG: A generalized CNN model for multi class EEG motor imagery classification without signal preprocessing for brain computer interfaces
Emre Arı, Ertuğrul Taçgın
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106081-106081
Closed Access | Times Cited: 9
Multi-branch spatial-temporal-spectral convolutional neural networks for multi-task motor imagery EEG classification
Zikun Cai, Tian-jian Luo, Xuan Cao
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106156-106156
Closed Access | Times Cited: 9
Decoding brain signals: A convolutional neural network approach for motor imagery classification
Ousama Tarahi, Soukaina Hamou, Mustapha Moufassih, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 7, pp. 100451-100451
Open Access | Times Cited: 8
Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline
Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, et al.
Brain Informatics (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
A comprehensive exploration of motion sickness process analysis from EEG signal and virtual reality
Naishi Feng, Bin Zhou, Qianqian Zhang, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 264, pp. 108714-108714
Closed Access | Times Cited: 1
Impact of EEG Parameters Detecting Dementia Diseases: A Systematic Review
Luz-María Sánchez, Juvenal Rodríguez‐Reséndiz, Gloria Nélida Avecilla Ramírez, et al.
IEEE Access (2021) Vol. 9, pp. 78060-78074
Open Access | Times Cited: 54
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