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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 26-50 of 7509 citing articles:

Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges
José del R. Millán, Rüdiger Rupp, Gernot Müller-Putz, et al.
Frontiers in Neuroscience (2010) Vol. 1
Open Access | Times Cited: 818
High-speed spelling with a noninvasive brain–computer interface
Xiaogang Chen, Yijun Wang, Masaki Nakanishi, et al.
Proceedings of the National Academy of Sciences (2015) Vol. 112, Iss. 44
Open Access | Times Cited: 817
Toward Brain-Computer Interfacing
Guido Dornhege, Terrence J. Sejnowski
The MIT Press eBooks (2007)
Open Access | Times Cited: 790
Towards passive brain–computer interfaces: applying brain–computer interface technology to human–machine systems in general
Thorsten O. Zander, Christian Kothe
Journal of Neural Engineering (2011) Vol. 8, Iss. 2, pp. 025005-025005
Closed Access | Times Cited: 781
OpenViBE: An Open-Source Software Platform to Design, Test, and Use Brain–Computer Interfaces in Real and Virtual Environments
Yann Renard, Fabien Lotte, Guillaume Gibert, et al.
PRESENCE Virtual and Augmented Reality (2010) Vol. 19, Iss. 1, pp. 35-53
Open Access | Times Cited: 768
Covariate Shift Adaptation by Importance Weighted Cross Validation
Masashi Sugiyama, Matthias Krauledat, Klaus‐Robert Müller
Journal of Machine Learning Research (2007) Vol. 8, Iss. 35, pp. 985-1005
Closed Access | Times Cited: 754
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 for communication and rehabilitation
Ujwal Chaudhary, Niels Birbaumer, Ander Ramos‐Murguialday
Nature Reviews Neurology (2016) Vol. 12, Iss. 9, pp. 513-525
Open Access | Times Cited: 748
A comparison of classification techniques for the P300 Speller
Dean J. Krusienski, Eric W. Sellers, François Cabestaing, et al.
Journal of Neural Engineering (2006) Vol. 3, Iss. 4, pp. 299-305
Open Access | Times Cited: 742
An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method
Guangyu Bin, Xiaorong Gao, Yan Zheng, et al.
Journal of Neural Engineering (2009) Vol. 6, Iss. 4, pp. 046002-046002
Closed Access | Times Cited: 732
Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces
Hubert Cecotti, Anita Graser
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010) Vol. 33, Iss. 3, pp. 433-445
Open Access | Times Cited: 730
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
Noninvasive Brain-Actuated Control of a Mobile Robot by Human EEG
José del R. Millán, F. Renkens, J. Mouriño, et al.
IEEE Transactions on Biomedical Engineering (2004) Vol. 51, Iss. 6, pp. 1026-1033
Open Access | Times Cited: 725
Connecting cortex to machines: recent advances in brain interfaces
John P. Donoghue
Nature Neuroscience (2002) Vol. 5, Iss. S11, pp. 1085-1088
Closed Access | Times Cited: 723
Toward enhanced P300 speller performance
Dean J. Krusienski, Eric W. Sellers, Dennis J. McFarland, et al.
Journal of Neuroscience Methods (2007) Vol. 167, Iss. 1, pp. 15-21
Open Access | Times Cited: 721
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
Imagery of motor actions: Differential effects of kinesthetic and visual–motor mode of imagery in single-trial EEG
Christa Neuper, Reinhold Scherer, Miriam Reiner, et al.
Cognitive Brain Research (2005) Vol. 25, Iss. 3, pp. 668-677
Closed Access | Times Cited: 693
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
Bedside detection of awareness in the vegetative state: a cohort study
Damian Cruse, Srivas Chennu, Camille Chatelle, et al.
The Lancet (2011) Vol. 378, Iss. 9809, pp. 2088-2094
Closed Access | Times Cited: 678
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, et al.
(2007) Vol. 20, pp. 1433-1440
Closed Access | Times Cited: 664
The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials
Benjamin Blankertz, K. Müller, Gabriel Curio, et al.
IEEE Transactions on Biomedical Engineering (2004) Vol. 51, Iss. 6, pp. 1044-1051
Closed Access | Times Cited: 647
EMG contamination of EEG: spectral and topographical characteristics
Irina I. Goncharova, Dennis J. McFarland, Theresa M. Vaughan, et al.
Clinical Neurophysiology (2003) Vol. 114, Iss. 9, pp. 1580-1593
Closed Access | Times Cited: 640
How many people are able to control a P300-based brain–computer interface (BCI)?
Christoph Guger, Shahab Daban, Eric W. Sellers, et al.
Neuroscience Letters (2009) Vol. 462, Iss. 1, pp. 94-98
Closed Access | Times Cited: 634
Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms
Guido Dornhege, Benjamin Blankertz, Gabriel Curio, et al.
IEEE Transactions on Biomedical Engineering (2004) Vol. 51, Iss. 6, pp. 993-1002
Closed Access | Times Cited: 627
Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface
Xiaogang Chen, Yijun Wang, Shangkai Gao, et al.
Journal of Neural Engineering (2015) Vol. 12, Iss. 4, pp. 046008-046008
Closed Access | Times Cited: 625

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