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:

EEG-Based Brain-Computer Interfaces: A Thorough Literature Survey
Han-Jeong Hwang, Soyoun Kim, Soobeom Choi, et al.
International Journal of Human-Computer Interaction (2013) Vol. 29, Iss. 12, pp. 814-826
Closed Access | Times Cited: 238

Showing 1-25 of 238 citing articles:

fNIRS-based brain-computer interfaces: a review
Noman Naseer, Keum‐Shik Hong
Frontiers in Human Neuroscience (2015) Vol. 9
Open Access | Times Cited: 880
A comprehensive review of EEG-based brain–computer interface paradigms
Reza Abiri, Soheil Borhani, Eric W. Sellers, et al.
Journal of Neural Engineering (2018) Vol. 16, Iss. 1, pp. 011001-011001
Closed Access | Times Cited: 753
Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system
Jasmin Kevrić, Abdülhamit Subaşı
Biomedical Signal Processing and Control (2016) Vol. 31, pp. 398-406
Closed Access | Times Cited: 397
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
Performance variation in motor imagery brain–computer interface: A brief review
Minkyu Ahn, Sung Chan Jun
Journal of Neuroscience Methods (2015) Vol. 243, pp. 103-110
Closed Access | Times Cited: 284
Hybrid Brain–Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review
Keum‐Shik Hong, Muhammad Jawad Khan
Frontiers in Neurorobotics (2017) Vol. 11
Open Access | Times Cited: 237
Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
Keum‐Shik Hong, Muhammad Jawad Khan, Melissa Jiyoun Hong
Frontiers in Human Neuroscience (2018) Vol. 12
Open Access | Times Cited: 237
Hybrid EEG–fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control
Muhammad Jawad Khan, Keum‐Shik Hong
Frontiers in Neurorobotics (2017) Vol. 11
Open Access | Times Cited: 210
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks:A review
Sana Yasin, Syed Asad Hussain, Sinem Aslan, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 202, pp. 106007-106007
Open Access | Times Cited: 156
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
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
Past, Present, and Future of EEG-Based BCI Applications
Kaido Värbu, Naveed Muhammad, Yar Muhammad
Sensors (2022) Vol. 22, Iss. 9, pp. 3331-3331
Open Access | Times Cited: 145
Brain-computer interface for hands-free teleoperation of construction robots
Yizhi Liu, Mahmoud Habibnezhad, Houtan Jebelli
Automation in Construction (2021) Vol. 123, pp. 103523-103523
Closed Access | Times Cited: 112
A Review of Brain-Computer Interface Games and an Opinion Survey from Researchers, Developers and Users
Minkyu Ahn, Mi-Jin Lee, Jinyoung Choi, et al.
Sensors (2014) Vol. 14, Iss. 8, pp. 14601-14633
Open Access | Times Cited: 176
EEG-based BCI and video games: a progress report
Bojan Kerouš, Filip Škola, Fotis Liarokapis
Virtual Reality (2017) Vol. 22, Iss. 2, pp. 119-135
Closed Access | Times Cited: 167
Toward Drowsiness Detection Using Non-hair-Bearing EEG-Based Brain-Computer Interfaces
Chun-Shu Wei, Yu-Te Wang, Chin‐Teng Lin, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 26, Iss. 2, pp. 400-406
Closed Access | Times Cited: 143
The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users
Serafeim Perdikis, Luca Tonin, Sareh Saeedi, et al.
PLoS Biology (2018) Vol. 16, Iss. 5, pp. e2003787-e2003787
Open Access | Times Cited: 134
A novel end‐to‐end deep learning scheme for classifying multi‐class motor imagery electroencephalography signals
Ahmad Hassanpour, Majid Moradikia, Hojjat Adeli, et al.
Expert Systems (2019) Vol. 36, Iss. 6
Closed Access | Times Cited: 132
Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm
Xiaogang Chen, Bing Zhao, Yijun Wang, et al.
Journal of Neural Engineering (2018) Vol. 16, Iss. 2, pp. 026012-026012
Closed Access | Times Cited: 126
A Survey on Brain Biometrics
Qiong Gui, Maria V. Ruiz-Blondet, Sarah Laszlo, et al.
ACM Computing Surveys (2019) Vol. 51, Iss. 6, pp. 1-38
Open Access | Times Cited: 110
Novel Multipin Electrode Cap System for Dry Electroencephalography
Patrique Fiedler, Paulo Pedrosa, Stefan Griebel, et al.
Brain Topography (2015) Vol. 28, Iss. 5, pp. 647-656
Closed Access | Times Cited: 107
A Multi-Scale Fusion Convolutional Neural Network Based on Attention Mechanism for the Visualization Analysis of EEG Signals Decoding
Donglin Li, Jiacan Xu, Jianhui Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 12, pp. 2615-2626
Closed Access | Times Cited: 94
Most Popular Signal Processing Methods in Motor-Imagery BCI: A Review and Meta-Analysis
Piotr Wierzgała, Dariusz Zapała, Grzegorz M. Wójcik, et al.
Frontiers in Neuroinformatics (2018) Vol. 12
Open Access | Times Cited: 92
Vowel Imagery Decoding toward Silent Speech BCI Using Extreme Learning Machine with Electroencephalogram
Beomjun Min, Jong‐In Kim, Hyeong-jun Park, et al.
BioMed Research International (2016) Vol. 2016, pp. 1-11
Open Access | Times Cited: 86
The effects of handedness on sensorimotor rhythm desynchronization and motor-imagery BCI control
Dariusz Zapała, Emilia Zabielska‐Mendyk, Paweł Augustynowicz, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 80
Page 1 - Next Page

Scroll to top