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:

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

Showing 1-25 of 284 citing articles:

A novel deep learning approach for classification of EEG motor imagery signals
Yousef R. Tabar, Uğur Halıcı
Journal of Neural Engineering (2016) Vol. 14, Iss. 1, pp. 016003-016003
Closed Access | Times Cited: 799
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation
Mikhail Lebedev, Miguel A. L. Nicolelis
Physiological Reviews (2017) Vol. 97, Iss. 2, pp. 767-837
Closed Access | Times Cited: 550
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
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
Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data
Sangtae Ahn, Thien Huu Nguyen, Hyojung Jang, et al.
Frontiers in Human Neuroscience (2016) Vol. 10
Open Access | Times Cited: 206
Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review
Simanto Saha, Mathias Baumert
Frontiers in Computational Neuroscience (2020) Vol. 13
Open Access | Times Cited: 201
A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals
Zhiwen Zhang, Feng Duan, Jordi Solé‐Casals, et al.
IEEE Access (2019) Vol. 7, pp. 15945-15954
Open Access | Times Cited: 177
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
Brain-Computer Interface: Advancement and Challenges
M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5746-5746
Open Access | Times Cited: 149
BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data
Demetres Kostas, Stéphane Aroca-Ouellette, Frank Rudzicz
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 138
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
Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study
Camille Jeunet, Emilie Jahanpour, Fabien Lotte
Journal of Neural Engineering (2016) Vol. 13, Iss. 3, pp. 036024-036024
Open Access | Times Cited: 160
Enhance decoding of pre-movement EEG patterns for brain–computer interfaces
Kun Wang, Minpeng Xu, Yijun Wang, et al.
Journal of Neural Engineering (2019) Vol. 17, Iss. 1, pp. 016033-016033
Closed Access | Times Cited: 130
Critiquing the Concept of BCI Illiteracy
Margaret C. Thompson
Science and Engineering Ethics (2018) Vol. 25, Iss. 4, pp. 1217-1233
Closed Access | Times Cited: 129
A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke
Alexander Remsik, Brittany M. Young, Rebecca Vermilyea, et al.
Expert Review of Medical Devices (2016) Vol. 13, Iss. 5, pp. 445-454
Open Access | Times Cited: 123
Advances in user-training for mental-imagery-based BCI control
Camille Jeunet, Bernard N’Kaoua, Fabien Lotte
Progress in brain research (2016), pp. 3-35
Closed Access | Times Cited: 114
Online and Offline Performance Gains Following Motor Imagery Practice: A Comprehensive Review of Behavioral and Neuroimaging Studies
Franck Di Rienzo, Ursula Debarnot, Sébastien Daligault, et al.
Frontiers in Human Neuroscience (2016) Vol. 10
Open Access | Times Cited: 108
A Wearable Brain–Computer Interface Instrument for Augmented Reality-Based Inspection in Industry 4.0
Leopoldo Angrisani, Pasquale Arpaïa, Antonio Espósito, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 4, pp. 1530-1539
Closed Access | Times Cited: 103
Quantifying the role of motor imagery in brain-machine interfaces
Silvia Marchesotti, Michela Bassolino, Andrea Serino, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 100
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
Progress in Brain Computer Interface: Challenges and Opportunities
Simanto Saha, Khondaker A. Mamun, Khawza I. Ahmed, et al.
Frontiers in Systems Neuroscience (2021) Vol. 15
Open Access | Times Cited: 92
Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns
Youngjoo Kim, Jiwoo Ryu, Ko Keun Kim, et al.
Computational Intelligence and Neuroscience (2016) Vol. 2016, pp. 1-13
Open Access | Times Cited: 91
Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces – Current Limitations and Future Directions
Sangtae Ahn, Sung Chan Jun
Frontiers in Human Neuroscience (2017) Vol. 11
Open Access | Times Cited: 91
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
Page 1 - Next Page

Scroll to top