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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:

A Review of the Role of Machine Learning Techniques towards Brain–Computer Interface Applications
Saim Rasheed
Machine Learning and Knowledge Extraction (2021) Vol. 3, Iss. 4, pp. 835-862
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Electroencephalogram channel selection based on pearson correlation coefficient for motor imagery-brain-computer interface
Pawan Pawan, Rohtash Dhiman
Measurement Sensors (2022) Vol. 25, pp. 100616-100616
Open Access | Times Cited: 40
The Role and Applications of Artificial Intelligence in the Treatment of Chronic Pain
Tiffany A. Meier, Mohammad S. Refahi, Gavin Hearne, et al.
Current Pain and Headache Reports (2024) Vol. 28, Iss. 8, pp. 769-784
Closed Access | Times Cited: 9
A State-of-the-Art Review of EEG-Based Imagined Speech Decoding
Diego Lopez-Bernal, David Balderas, Pedro Ponce, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 34
Fractal Dimension as a discriminative feature for high accuracy classification in motor imagery EEG-based brain-computer interface
Sadaf Moaveninejad, Valentina D’Onofrio, Franca Tecchio, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 244, pp. 107944-107944
Closed Access | Times Cited: 18
A Critical Survey of EEG-Based BCI Systems for Applications in Industrial Internet of Things
Rahul Ajmeria, Mayukh Mondal, Reya Banerjee, et al.
IEEE Communications Surveys & Tutorials (2022) Vol. 25, Iss. 1, pp. 184-212
Closed Access | Times Cited: 17
Identifying Thematics in a Brain‐Computer Interface Research
Hadeel Alharbi
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 10
Artificial intelligence–based management prospects of neurological disorders with special reference to epilepsy
Chayanika Devi, Amlan J. Kalita, Pichili Vijaya Bhaskar Reddy, et al.
Elsevier eBooks (2025), pp. 283-295
Closed Access
MusicalBSI - musical genres responses to fMRI signals analysis with prototypical model agnostic meta-learning for brain state identification in data scarce environment
Subhayu Dutta, Saptiva Goswami, Sonali Debnath, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109795-109795
Closed Access
Metaverse for Brain Computer Interface: Towards New and Improved Applications
Sara Abdelghafar, Dalia Ezzat, Ashraf Darwish, et al.
Studies in big data (2023), pp. 43-58
Closed Access | Times Cited: 8
M1M2: Deep-Learning-Based Real-Time Emotion Recognition from Neural Activity
Sumya Akter, Rumman Ahmed Prodhan, Tanmoy Sarkar Pias, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8467-8467
Open Access | Times Cited: 14
GDNet-EEG: An attention-aware deep neural network based on group depth-wise convolution for SSVEP stimulation frequency recognition
Zhijiang Wan, Wangxinjun Cheng, Manyu Li, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 8
Designing a Modified Grey Wolf Optimizer Based Cyclegan Model for Eeg Mi Classification in Bci
Arunadevi Thirumalraj, K Aravinda, V Revathi, et al.
(2023)
Closed Access | Times Cited: 8
A systematic review on artifact removal and classification techniques for enhanced MEG-based BCI systems
Beril Susan Philip, Girijesh Prasad, D. Jude Hemanth
Brain-Computer Interfaces (2023) Vol. 10, Iss. 2-4, pp. 99-113
Closed Access | Times Cited: 7
Performance Comparison of Different Classifiers to Detect Motor Intention in EEG-Based BCI
Alejandro Quiroga, Diana Vértiz del Valle, Melina Pilz, et al.
IFMBE proceedings (2024), pp. 90-101
Closed Access | Times Cited: 2
Hybrid SSVEP + P300 brain-computer interface can deal with non-stationary cerebral responses with the use of adaptive classification
Deepak Kapgate
Journal of Neurorestoratology (2024) Vol. 12, Iss. 2, pp. 100109-100109
Open Access | Times Cited: 2
Fast Optical Signals for Real-Time Retinotopy and Brain Computer Interface
David Perpetuini, Mehmet Günal, Nicole Chiou, et al.
Bioengineering (2023) Vol. 10, Iss. 5, pp. 553-553
Open Access | Times Cited: 4
On the use of power-based connectivity between EEG and sEMG signals for three-weight classification during object manipulation tasks
Cristian David Guerrero-Méndez, Cristian Felipe Blanco-Díaz, Mario Enrique Duarte-González, et al.
Research on Biomedical Engineering (2024) Vol. 40, Iss. 1, pp. 99-116
Closed Access | Times Cited: 1
Machine learning for physical motion identification using EEG signals: a comparative study of classifiers and hyperparameter tuning
Poh Foong Lee, Kah Yoon Chong
Journal of Ambient Intelligence and Humanized Computing (2024) Vol. 15, Iss. 4, pp. 2455-2466
Closed Access | Times Cited: 1
Brain-computer interface prototype to support upper limb rehabilitation processes in the human body
Daniela Camargo-Vargas, Mauro Callejas-Cuervo, Andrea Catherine Alarcón-Aldana
International Journal of Information Technology (2023) Vol. 15, Iss. 7, pp. 3655-3667
Open Access | Times Cited: 3
Non-Invasive BCI by using EMD and Machine Learning: A Metaverse Interaction Perspective
Mirna Ali, Nouf Alsaedi, Saeed Mian Qaisar
(2023), pp. 20-25
Closed Access | Times Cited: 2
A Survey on Brain-Computer Interface and Related Applications
Krishna Pai, Rakhee Kallimani, Sridhar Iyer, et al.
BENTHAM SCIENCE PUBLISHERS eBooks (2023), pp. 210-228
Open Access | Times Cited: 2
A case for hybrid BCIs: combining optical and electrical modalities improves accuracy
Rand K. Almajidy, Soheil Mottaghi, Asmaa A. Ajwad, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 2
Applying deep learning in brain computer interface to classify motor imagery
J.M. Izquierdo, Julio Ibarrola, Miguel Almonacid
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 5, pp. 8747-8760
Closed Access | Times Cited: 2
Machine Learning Based Color Classification by Means of Visually Evoked Potentials
Carl Böck, L. Meier, Stephan Kalb, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 11882-11882
Open Access | Times Cited: 5
Adaptive classification helps hybrid visual brain computer interface systems handle non‐stationary cortical signals
Deepak Kapgate, Krishna Prasad K
Cognitive Computation and Systems (2023) Vol. 5, Iss. 1, pp. 86-93
Open Access | Times Cited: 1
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