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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:

Brain computer interfacing: Applications and challenges
Sarah N. Abdulkader, Ayman Atia, Mostafa-Sami M. Mostafa
Egyptian Informatics Journal (2015) Vol. 16, Iss. 2, pp. 213-230
Open Access | Times Cited: 493

Showing 1-25 of 493 citing articles:

Brain computer interface: control signals review
Rabie Α. Ramadan, Athanasios V. Vasilakos
Neurocomputing (2016) Vol. 223, pp. 26-44
Closed Access | Times Cited: 504
Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
Mamunur Rashid, Norizam Sulaiman, Anwar P. P. Abdul Majeed, et al.
Frontiers in Neurorobotics (2020) Vol. 14
Open Access | Times Cited: 341
EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century
Ioulietta Lazarou, Spiros Nikolopoulos, Panagiotis C. Petrantonakis, et al.
Frontiers in Human Neuroscience (2018) Vol. 12
Open Access | Times Cited: 289
A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers
Xiang Zhang, Lina Yao, Xianzhi Wang, et al.
Journal of Neural Engineering (2020) Vol. 18, Iss. 3, pp. 031002-031002
Open Access | Times Cited: 228
Classification of Hand Movements From EEG Using a Deep Attention-Based LSTM Network
Guangyi Zhang, Vandad Davoodnia, Alireza Sepas‐Moghaddam, et al.
IEEE Sensors Journal (2019) Vol. 20, Iss. 6, pp. 3113-3122
Closed Access | Times Cited: 171
Deep Learning in the Biomedical Applications: Recent and Future Status
Ryad Zemouri, Noureddine Zerhouni, Daniel Racoceanu
Applied Sciences (2019) Vol. 9, Iss. 8, pp. 1526-1526
Open Access | Times Cited: 161
Deep Learning for EEG-Based Preference Classification in Neuromarketing
Mashael Aldayel, Mourad Ykhlef, Abeer Al-Nafjan
Applied Sciences (2020) Vol. 10, Iss. 4, pp. 1525-1525
Open Access | Times Cited: 153
Brain computer interface based applications for training and rehabilitation of students with neurodevelopmental disorders. A literature review
George Papanastasiou, Athanasios Drigas, Charalabos Skianis, et al.
Heliyon (2020) Vol. 6, Iss. 9, pp. e04250-e04250
Open Access | Times Cited: 144
Trends in EEG signal feature extraction applications
Anupreet Kaur Singh, Sridhar Krishnan
Frontiers in Artificial Intelligence (2023) Vol. 5
Open Access | Times Cited: 49
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
Smart Infrastructure: A Vision for the Role of the Civil Engineering Profession in Smart Cities
Emily Zechman Berglund, Jacob G. Monroe, Ishtiak Ahmed, et al.
Journal of Infrastructure Systems (2020) Vol. 26, Iss. 2
Closed Access | Times Cited: 132
Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability
Yasmin Elsahar, Sijung Hu, Kaddour Bouazza‐Marouf, et al.
Sensors (2019) Vol. 19, Iss. 8, pp. 1911-1911
Open Access | Times Cited: 119
Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals
Nitesh Singh Malan, Shiru Sharma
Computers in Biology and Medicine (2019) Vol. 107, pp. 118-126
Closed Access | Times Cited: 118
Brain computer interface advancement in neurosciences: Applications and issues
Anil Kumar Sharma, Suresh Kumar Sharma, Jitender Chaturvedi, et al.
Interdisciplinary Neurosurgery (2020) Vol. 20, pp. 100694-100694
Open Access | Times Cited: 108
EEG Signals Denoising Using Optimal Wavelet Transform Hybridized With Efficient Metaheuristic Methods
Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al‐Betar, et al.
IEEE Access (2019) Vol. 8, pp. 10584-10605
Open Access | Times Cited: 102
Decoding Covert Speech From EEG-A Comprehensive Review
Jerrin Thomas Panachakel, A. G. Ramakrishnan
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 98
A review on Virtual Reality and Augmented Reality use-cases of Brain Computer Interface based applications for smart cities
Varun Kohli, Utkarsh Tripathi, Vinay Chamola, et al.
Microprocessors and Microsystems (2021) Vol. 88, pp. 104392-104392
Closed Access | Times Cited: 98
Deep learning-based classification for brain-computer interfaces
John Thomas, Tomasz Maszczyk, Nishant Sinha, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2017), pp. 234-239
Closed Access | Times Cited: 92
An Integrated Approach to Neuro-development, Neuroplasticity and Cognitive Improvement
Athanasios Drigas, Maria Karyotaki, Charalabos Skianis
International Journal of Recent Contributions from Engineering Science & IT (iJES) (2018) Vol. 6, Iss. 3, pp. 4-4
Open Access | Times Cited: 85
A comprehensive assessment of Brain Computer Interfaces: Recent trends and challenges
Drishti Yadav, Shilpee Yadav, Karan Veer
Journal of Neuroscience Methods (2020) Vol. 346, pp. 108918-108918
Closed Access | Times Cited: 85
Brain-Computer Interface-Based Humanoid Control: A Review
Vinay Chamola, Ankur Vineet, Anand Nayyar, et al.
Sensors (2020) Vol. 20, Iss. 13, pp. 3620-3620
Open Access | Times Cited: 79
MI-EEGNET: A novel convolutional neural network for motor imagery classification
Mouad Riyad, Mohammed Khalil, Abdellah Adib
Journal of Neuroscience Methods (2020) Vol. 353, pp. 109037-109037
Closed Access | Times Cited: 74
EEG signal analysis using classification techniques: Logistic regression, artificial neural networks, support vector machines, and convolutional neural networks
María C. M. de Guerrero, Juan Sebastián Parada, Helbert Espitia
Heliyon (2021) Vol. 7, Iss. 6, pp. e07258-e07258
Open Access | Times Cited: 74
Data Augmentation: Using Channel-Level Recombination to Improve Classification Performance for Motor Imagery EEG
Yu Pei, Zhiguo Luo, Ye Yan, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 69
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
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