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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 26-50 of 532 citing articles:

Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing
Guido Dornhege, Benjamin Blankertz, Matthias Krauledat, et al.
IEEE Transactions on Biomedical Engineering (2006) Vol. 53, Iss. 11, pp. 2274-2281
Closed Access | Times Cited: 379
Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review
Marco Congedo, Alexandre Barachant, Rajendra Bhatia
Brain-Computer Interfaces (2017) Vol. 4, Iss. 3, pp. 155-174
Open Access | Times Cited: 361
On the suitability of near-infrared (NIR) systems for next-generation brain–computer interfaces
Shirley Coyle, Tomás E. Ward, Charles H. Markham, et al.
Physiological Measurement (2004) Vol. 25, Iss. 4, pp. 815-822
Closed Access | Times Cited: 352
Regulation of anterior insular cortex activity using real-time fMRI
Andrea Carìa, Ralf Veit, Ranganatha Sitaram, et al.
NeuroImage (2007) Vol. 35, Iss. 3, pp. 1238-1246
Closed Access | Times Cited: 345
The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology
Benjamin Blankertz, Michael Tangermann, Carmen Vidaurre, et al.
Frontiers in Neuroscience (2010) Vol. 4
Open Access | Times Cited: 335
The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects
Benjamin Blankertz, Florian Losch, Matthias Krauledat, et al.
IEEE Transactions on Biomedical Engineering (2008) Vol. 55, Iss. 10, pp. 2452-2462
Closed Access | Times Cited: 328
The Berlin brain-computer interface: EEG-based communication without subject training
Benjamin Blankertz, Guido Dornhege, Matthias Krauledat, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2006) Vol. 14, Iss. 2, pp. 147-152
Closed Access | Times Cited: 328
The wadsworth BCI research and development program: at home with BCI
Theresa M. Vaughan, Dennis J. McFarland, Gerwin Schalk, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2006) Vol. 14, Iss. 2, pp. 229-233
Closed Access | Times Cited: 328
Towards an independent brain–computer interface using steady state visual evoked potentials
Brendan Z. Allison, Dennis J. McFarland, Gerwin Schalk, et al.
Clinical Neurophysiology (2008) Vol. 119, Iss. 2, pp. 399-408
Open Access | Times Cited: 324
An auditory oddball (P300) spelling system for brain‐computer interfaces
Adrian Furdea, Sebastian Halder, Dean J. Krusienski, et al.
Psychophysiology (2009) Vol. 46, Iss. 3, pp. 617-625
Open Access | Times Cited: 313
The influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis - a longitudinal study
Femke Nijboer
Frontiers in Neuroscience (2010)
Open Access | Times Cited: 309
Time Domain Parameters as a feature for EEG-based Brain–Computer Interfaces
Carmen Vidaurre, Nicole Krämer, Benjamin Blankertz, et al.
Neural Networks (2009) Vol. 22, Iss. 9, pp. 1313-1319
Closed Access | Times Cited: 289
Flashing characters with famous faces improves ERP-based brain–computer interface performance
Tobias Kaufmann, Stefan M. Schulz, C Grünzinger, et al.
Journal of Neural Engineering (2011) Vol. 8, Iss. 5, pp. 056016-056016
Closed Access | Times Cited: 285
Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain–computer interface
Ivo Käthner, Selina C. Wriessnegger, Gernot Müller-Putz, et al.
Biological Psychology (2014) Vol. 102, pp. 118-129
Closed Access | Times Cited: 275
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
Decoding speech perception from non-invasive brain recordings
Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 10, pp. 1097-1107
Open Access | Times Cited: 72
Guest editorial brain-computer interface technology: a review of the second international meeting
Theresa M. Vaughan
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2003) Vol. 11, Iss. 2, pp. 94-109
Closed Access | Times Cited: 345
Clinical application of an EEG-based brain–computer interface: a case study in a patient with severe motor impairment
Christa Neuper, Gernot Müller, Andrea Kübler, et al.
Clinical Neurophysiology (2003) Vol. 114, Iss. 3, pp. 399-409
Closed Access | Times Cited: 321
A Comprehensive Survey of Brain Interface Technology Designs
S.G. Mason, Ali Bashashati, Mehrdad Fatourechi, et al.
Annals of Biomedical Engineering (2006) Vol. 35, Iss. 2, pp. 137-169
Closed Access | Times Cited: 300
Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI)
Nikolaus Weiskopf, Frank Scharnowski, Ralf Veit, et al.
Journal of Physiology-Paris (2004) Vol. 98, Iss. 4-6, pp. 357-373
Closed Access | Times Cited: 282
Motivation modulates the P300 amplitude during brain–computer interface use
Sonja C. Kleih, Femke Nijboer, Sebastian Halder, et al.
Clinical Neurophysiology (2010) Vol. 121, Iss. 7, pp. 1023-1031
Closed Access | Times Cited: 247
Brain–computer-interface research: Coming of age
Niels Birbaumer
Clinical Neurophysiology (2006) Vol. 117, Iss. 3, pp. 479-483
Closed Access | Times Cited: 237
A self-training semi-supervised SVM algorithm and its application in an EEG-based brain computer interface speller system
Yuanqing Li, Cuntai Guan, Huiqi Li, et al.
Pattern Recognition Letters (2008) Vol. 29, Iss. 9, pp. 1285-1294
Closed Access | Times Cited: 223
Rehabilitation with Brain-Computer Interface Systems
G. Pfurtscheller, Gernot Müller-Putz, Reinhold Scherer, et al.
Computer (2008) Vol. 41, Iss. 10, pp. 58-65
Closed Access | Times Cited: 212
Stationary common spatial patterns for brain–computer interfacing
Wojciech Samek, Carmen Vidaurre, Klaus‐Robert Müller, et al.
Journal of Neural Engineering (2012) Vol. 9, Iss. 2, pp. 026013-026013
Closed Access | Times Cited: 200

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