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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:

Towards a Cure for BCI Illiteracy
Carmen Vidaurre, Benjamin Blankertz
Brain Topography (2009) Vol. 23, Iss. 2, pp. 194-198
Open Access | Times Cited: 452

Showing 26-50 of 452 citing articles:

Spelling with non-invasive Brain–Computer Interfaces – Current and future trends
Hubert Cecotti
Journal of Physiology-Paris (2011) Vol. 105, Iss. 1-3, pp. 106-114
Closed Access | Times Cited: 166
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
Commanding a Brain-Controlled Wheelchair Using Steady-State Somatosensory Evoked Potentials
Keun-Tae Kim, Heung‐Il Suk, Seong‐Whan Lee
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 26, Iss. 3, pp. 654-665
Closed Access | Times Cited: 158
EEG classification using sparse Bayesian extreme learning machine for brain–computer interface
Zhichao Jin, Guoxu Zhou, Daqi Gao, et al.
Neural Computing and Applications (2018) Vol. 32, Iss. 11, pp. 6601-6609
Closed Access | Times Cited: 153
Face stimuli effectively prevent brain–computer interface inefficiency in patients with neurodegenerative disease
Tobias Kaufmann, Stefan M. Schulz, Anja Köblitz, et al.
Clinical Neurophysiology (2012) Vol. 124, Iss. 5, pp. 893-900
Closed Access | Times Cited: 152
Commanding a robotic wheelchair with a high-frequency steady-state visual evoked potential based brain–computer interface
Pablo Díez, Sandra Müller, Vicente Mut, et al.
Medical Engineering & Physics (2013) Vol. 35, Iss. 8, pp. 1155-1164
Open Access | Times Cited: 152
Brain–Computer Interface Games Based on Consumer-Grade EEG Devices: A Systematic Literature Review
Gabriel Alves Mendes Vasiljevic, Leonardo Cunha de Miranda
International Journal of Human-Computer Interaction (2019) Vol. 36, Iss. 2, pp. 105-142
Closed Access | Times Cited: 136
Subject-dependent classification for robust idle state detection using multi-modal neuroimaging and data-fusion techniques in BCI
Min-Ho Lee, Siamac Fazli, Jan Mehnert, et al.
Pattern Recognition (2015) Vol. 48, Iss. 8, pp. 2725-2737
Closed Access | Times Cited: 135
A hybrid ERD/SSVEP BCI for continuous simultaneous two dimensional cursor control
Brendan Z. Allison, Clemens Brunner, Christof Altstätter, et al.
Journal of Neuroscience Methods (2012) Vol. 209, Iss. 2, pp. 299-307
Closed Access | Times Cited: 135
A Survey on Unmanned Aerial Vehicle Remote Control Using Brain–Computer Interface
Amin Nourmohammadi, Mohammad Jafari, Thorsten O. Zander
IEEE Transactions on Human-Machine Systems (2018) Vol. 48, Iss. 4, pp. 337-348
Closed Access | Times Cited: 135
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 new hybrid BCI paradigm based on P300 and SSVEP
Minjue Wang, Ian Daly, Brendan Z. Allison, et al.
Journal of Neuroscience Methods (2014) Vol. 244, pp. 16-25
Closed Access | Times Cited: 133
A systematic review of the psychological factors that influence neurofeedback learning outcomes
Kathrin Cohen Kadosh, Graham Staunton
NeuroImage (2018) Vol. 185, pp. 545-555
Closed Access | Times Cited: 133
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
Brain–Computer Interface for Neurorehabilitation of Upper Limb After Stroke
Kai Keng Ang, Cuntai Guan
Proceedings of the IEEE (2015) Vol. 103, Iss. 6, pp. 944-953
Closed Access | Times Cited: 127
A hybrid BCI speller paradigm combining P300 potential and the SSVEP blocking feature
Minpeng Xu, Hongzhi Qi, Baikun Wan, et al.
Journal of Neural Engineering (2013) Vol. 10, Iss. 2, pp. 026001-026001
Closed Access | Times Cited: 127
Toward a Direct Measure of Video Quality Perception Using EEG
Simon Scholler, Sebastian Bosse, Matthias S. Treder, et al.
IEEE Transactions on Image Processing (2012) Vol. 21, Iss. 5, pp. 2619-2629
Closed Access | Times Cited: 126
A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives
Inchul Choi, Ilsun Rhiu, Yushin Lee, et al.
PLoS ONE (2017) Vol. 12, Iss. 4, pp. e0176674-e0176674
Open Access | Times Cited: 114
Covert neurofeedback without awareness shapes cortical network spontaneous connectivity
Michal Ramot, Shany Grossman, Doron Friedman, et al.
Proceedings of the National Academy of Sciences (2016) Vol. 113, Iss. 17
Open Access | Times Cited: 111
Are treatment effects of neurofeedback training in children with ADHD related to the successful regulation of brain activity? A review on the learning of regulation of brain activity and a contribution to the discussion on specificity
Agnieszka Zuberer, Daniel Brandeis, Renate Drechsler
Frontiers in Human Neuroscience (2015) Vol. 9
Open Access | Times Cited: 107
Using a motor imagery questionnaire to estimate the performance of a Brain–Computer Interface based on object oriented motor imagery
Aleksandra Vučković, Bethel Osuagwu
Clinical Neurophysiology (2013) Vol. 124, Iss. 8, pp. 1586-1595
Open 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
Structural and functional correlates of motor imagery BCI performance: Insights from the patterns of fronto-parietal attention network
Tao Zhang, Tiejun Liu, Fali Li, et al.
NeuroImage (2016) Vol. 134, pp. 475-485
Closed Access | Times Cited: 99
Predicting BCI Subject Performance Using Probabilistic Spatio-Temporal Filters
Heung‐Il Suk, Siamac Fazli, Jan Mehnert, et al.
PLoS ONE (2014) Vol. 9, Iss. 2, pp. e87056-e87056
Open Access | Times Cited: 95
A Brain-Machine Interface Based on ERD/ERS for an Upper-Limb Exoskeleton Control
Zhichuan Tang, Shouqian Sun, Sanyuan Zhang, et al.
Sensors (2016) Vol. 16, Iss. 12, pp. 2050-2050
Open Access | Times Cited: 95

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