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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 communication: Unlocking the locked in.
Andrea Kübler, Boris Kotchoubey, Jochen Kaiser, et al.
Psychological Bulletin (2001) Vol. 127, Iss. 3, pp. 358-375
Closed Access | Times Cited: 532

Showing 1-25 of 532 citing articles:

Brain–computer interfaces for communication and control
Jonathan R. Wolpaw, Niels Birbaumer, Dennis J. McFarland, et al.
Clinical Neurophysiology (2002) Vol. 113, Iss. 6, pp. 767-791
Closed Access | Times Cited: 7509
BCI2000: A General-Purpose Brain-Computer Interface (BCI) System
Gerwin Schalk, Dennis J. McFarland, Thilo Hinterberger, et al.
IEEE Transactions on Biomedical Engineering (2004) Vol. 51, Iss. 6, pp. 1034-1043
Closed Access | Times Cited: 2758
A review of classification algorithms for EEG-based brain–computer interfaces
Fabien Lotte, Marco Congedo, A. Lécuyer, et al.
Journal of Neural Engineering (2007) Vol. 4, Iss. 2, pp. R1-R13
Open Access | Times Cited: 2514
Brain Computer Interfaces, a Review
Luis F. Nicolás-Alonso, J. Gil
Sensors (2012) Vol. 12, Iss. 2, pp. 1211-1279
Open Access | Times Cited: 1841
Brain–machine interfaces: past, present and future
Mikhail Lebedev, Miguel A. L. Nicolelis
Trends in Neurosciences (2006) Vol. 29, Iss. 9, pp. 536-546
Closed Access | Times Cited: 1710
Single-trial analysis and classification of ERP components — A tutorial
Benjamin Blankertz, Steven Lemm, Matthias S. Treder, et al.
NeuroImage (2010) Vol. 56, Iss. 2, pp. 814-825
Closed Access | Times Cited: 1073
Review of the BCI Competition IV
Michael Tangermann, Klaus‐Robert Müller, Ad Aertsen, et al.
Frontiers in Neuroscience (2012) Vol. 6
Open Access | Times Cited: 963
The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects
Benjamin Blankertz, Guido Dornhege, Matthias Krauledat, et al.
NeuroImage (2007) Vol. 37, Iss. 2, pp. 539-550
Closed Access | Times Cited: 893
A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals
Ali Bashashati, Mehrdad Fatourechi, Rabab Ward, et al.
Journal of Neural Engineering (2007) Vol. 4, Iss. 2, pp. R32-R57
Closed Access | Times Cited: 866
The BCI competition III: validating alternative approaches to actual BCI problems
Benjamin Blankertz, K. Müller, Dean J. Krusienski, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2006) Vol. 14, Iss. 2, pp. 153-159
Closed Access | Times Cited: 859
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
Brain–computer interfaces: communication and restoration of movement in paralysis
Niels Birbaumer, Leonardo G. Cohen
The Journal of Physiology (2007) Vol. 579, Iss. 3, pp. 621-636
Open Access | Times Cited: 725
A P300-based brain–computer interface: Initial tests by ALS patients
Eric W. Sellers, Emanuel Donchin
Clinical Neurophysiology (2006) Vol. 117, Iss. 3, pp. 538-548
Closed Access | Times Cited: 700
Breaking the silence: Brain–computer interfaces (BCI) for communication and motor control
Niels Birbaumer
Psychophysiology (2006) Vol. 43, Iss. 6, pp. 517-532
Closed Access | Times Cited: 681
Neurophysiological predictor of SMR-based BCI performance
Benjamin Blankertz, Claudia Sannelli, Sebastian Halder, et al.
NeuroImage (2010) Vol. 51, Iss. 4, pp. 1303-1309
Open Access | Times Cited: 620
Introduction to machine learning for brain imaging
Steven Lemm, Benjamin Blankertz, Thorsten Dickhaus, et al.
NeuroImage (2010) Vol. 56, Iss. 2, pp. 387-399
Closed Access | Times Cited: 614
EMG and EOG artifacts in brain computer interface systems: A survey
Mehrdad Fatourechi, Ali Bashashati, Rabab Ward, et al.
Clinical Neurophysiology (2006) Vol. 118, Iss. 3, pp. 480-494
Closed Access | Times Cited: 585
Brain–computer interface using a simplified functional near-infrared spectroscopy system
Shirley Coyle, Tomás E. Ward, C.M. Markham
Journal of Neural Engineering (2007) Vol. 4, Iss. 3, pp. 219-226
Open Access | Times Cited: 490
Machine learning for real-time single-trial EEG-analysis: From brain–computer interfacing to mental state monitoring
Klaus‐Robert Müller, Michael Tangermann, Guido Dornhege, et al.
Journal of Neuroscience Methods (2007) Vol. 167, Iss. 1, pp. 82-90
Closed Access | Times Cited: 464
Towards a Cure for BCI Illiteracy
Carmen Vidaurre, Benjamin Blankertz
Brain Topography (2009) Vol. 23, Iss. 2, pp. 194-198
Open Access | Times Cited: 451
Towards adaptive classification for BCI
Pradeep Shenoy, Matthias Krauledat, Benjamin Blankertz, et al.
Journal of Neural Engineering (2006) Vol. 3, Iss. 1, pp. R13-R23
Closed Access | Times Cited: 421
Decoding Dynamic Brain Patterns from Evoked Responses: A Tutorial on Multivariate Pattern Analysis Applied to Time Series Neuroimaging Data
Tijl Grootswagers, Susan G. Wardle, Thomas A. Carlson
Journal of Cognitive Neuroscience (2016) Vol. 29, Iss. 4, pp. 677-697
Open Access | Times Cited: 409
Psychobiology of Altered States of Consciousness.
Dieter Vaitl, Niels Birbaumer, John Gruzelier, et al.
Psychological Bulletin (2005) Vol. 131, Iss. 1, pp. 98-127
Closed Access | Times Cited: 408
Brain–computer interface systems: progress and prospects
Brendan Z. Allison, Elizabeth Winter Wolpaw, Jonathan R. Wolpaw
Expert Review of Medical Devices (2007) Vol. 4, Iss. 4, pp. 463-474
Closed Access | Times Cited: 399
An auditory brain–computer interface (BCI)
Femke Nijboer, Adrian Furdea, Ingo Gunst, et al.
Journal of Neuroscience Methods (2007) Vol. 167, Iss. 1, pp. 43-50
Open Access | Times Cited: 393
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