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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 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

Showing 1-25 of 7509 citing articles:

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, et al.
Journal of Neural Engineering (2018) Vol. 15, Iss. 5, pp. 056013-056013
Open Access | Times Cited: 2849
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
Optimizing Spatial filters for Robust EEG Single-Trial Analysis
Benjamin Blankertz, Ryota Tomioka, Steven Lemm, et al.
IEEE Signal Processing Magazine (2008) Vol. 25, Iss. 1, pp. 41-56
Closed Access | Times Cited: 1910
Decoding mental states from brain activity in humans
John­–Dylan Haynes, Geraint Rees
Nature reviews. Neuroscience (2006) Vol. 7, Iss. 7, pp. 523-534
Closed Access | Times Cited: 1877
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
A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
Fabien Lotte, Laurent Bougrain, Andrzej Cichocki, et al.
Journal of Neural Engineering (2018) Vol. 15, Iss. 3, pp. 031005-031005
Open Access | Times Cited: 1707
Cortical control of a prosthetic arm for self-feeding
Meel Velliste, Sagi Perel, M. Chance Spalding, et al.
Nature (2008) Vol. 453, Iss. 7198, pp. 1098-1101
Closed Access | Times Cited: 1573
Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks
G. Pfurtscheller, Clemens Brunner, Alois Schlögl, et al.
NeuroImage (2006) Vol. 31, Iss. 1, pp. 153-159
Closed Access | Times Cited: 1496
Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans
Jonathan R. Wolpaw, Dennis J. McFarland
Proceedings of the National Academy of Sciences (2004) Vol. 101, Iss. 51, pp. 17849-17854
Open Access | Times Cited: 1486
A brain–computer interface using electrocorticographic signals in humans
Eric C. Leuthardt, Gerwin Schalk, Jonathan R. Wolpaw, et al.
Journal of Neural Engineering (2004) Vol. 1, Iss. 2, pp. 63-71
Closed Access | Times Cited: 1161
Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
Kai Keng Ang, Zheng Yang Chin, Haihong Zhang, et al.
(2008), pp. 2390-2397
Closed Access | Times Cited: 1102
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
Brain–computer interfaces in neurological rehabilitation
Janis J. Daly, Jonathan R. Wolpaw
The Lancet Neurology (2008) Vol. 7, Iss. 11, pp. 1032-1043
Closed Access | Times Cited: 1041
Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives
François Vialatte, Monique Maurice, Justin Dauwels, et al.
Progress in Neurobiology (2009) Vol. 90, Iss. 4, pp. 418-438
Closed Access | Times Cited: 993
The functional significance of mu rhythms: Translating “seeing” and “hearing” into “doing”
Jaime A. Pineda
Brain Research Reviews (2005) Vol. 50, Iss. 1, pp. 57-68
Closed Access | Times Cited: 981
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
Observed Brain Dynamics
Partha P. Mitra, Hemant Bokil
Oxford University Press eBooks (2007)
Closed Access | Times Cited: 898
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
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 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
The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges
Dario Farina, Ning Jiang, Hubertus Rehbaum, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2014) Vol. 22, Iss. 4, pp. 797-809
Closed Access | Times Cited: 854
An efficient P300-based brain–computer interface for disabled subjects
Ulrich Hoffmann, Jean-Marc Vésin, Touradj Ebrahimi, et al.
Journal of Neuroscience Methods (2007) Vol. 167, Iss. 1, pp. 115-125
Open Access | Times Cited: 838
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