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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: 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

Showing 1-25 of 725 citing articles:

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
Brain–machine interface in chronic stroke rehabilitation: A controlled study
Ander Ramos‐Murguialday, Doris Broetz, Massimiliano Rea, et al.
Annals of Neurology (2013) Vol. 74, Iss. 1, pp. 100-108
Open Access | Times Cited: 882
EEG and MEG: Relevance to Neuroscience
Fernando Lopes da Silva
Neuron (2013) Vol. 80, Iss. 5, pp. 1112-1128
Open Access | Times Cited: 813
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: 750
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: 746
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: 729
The hybrid BCI
Gert Pfurtscheller
Frontiers in Neuroscience (2010)
Open Access | Times Cited: 603
Think to Move: a Neuromagnetic Brain-Computer Interface (BCI) System for Chronic Stroke
Ethan R. Buch, Cornelia Weber, Leonardo G. Cohen, et al.
Stroke (2008) Vol. 39, Iss. 3, pp. 910-917
Open Access | Times Cited: 590
An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user
Nadine Simon, Ivo Käthner, Carolin A. Ruf, et al.
Frontiers in Human Neuroscience (2015) Vol. 8
Open Access | Times Cited: 475
A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke
Kai Keng Ang, Karen Sui Geok Chua, Kok Soon Phua, et al.
Clinical EEG and Neuroscience (2014) Vol. 46, Iss. 4, pp. 310-320
Closed Access | Times Cited: 474
Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects
Joseph N. Mak, Jonathan R. Wolpaw
IEEE Reviews in Biomedical Engineering (2009) Vol. 2, pp. 187-199
Open Access | Times Cited: 469
Real-time fMRI neurofeedback: Progress and challenges
James Sulzer, Sven Haller, Frank Scharnowski, et al.
NeuroImage (2013) Vol. 76, pp. 386-399
Open Access | Times Cited: 450
Principles of neural ensemble physiology underlying the operation of brain–machine interfaces
Miguel A. L. Nicolelis, Mikhail Lebedev
Nature reviews. Neuroscience (2009) Vol. 10, Iss. 7, pp. 530-540
Closed Access | Times Cited: 430
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: 398
Functional near-infrared spectroscopy: current status and future prospects
Yoko Hoshi
Journal of Biomedical Optics (2007) Vol. 12, Iss. 6, pp. 062106-062106
Open Access | Times Cited: 394
Applications of real-time fMRI
R. Christopher deCharms
Nature reviews. Neuroscience (2008) Vol. 9, Iss. 9, pp. 720-729
Closed Access | Times Cited: 367
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
BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI?
Brendan Z. Allison, Thorsten Lüth, Diana Valbuena, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2010) Vol. 18, Iss. 2, pp. 107-116
Closed Access | Times Cited: 327
The brain–computer interface cycle
Marcel van Gerven, Jason Farquhar, Rebecca Schaefer, et al.
Journal of Neural Engineering (2009) Vol. 6, Iss. 4, pp. 041001-041001
Open Access | Times Cited: 326
Brain–machine interfaces in neurorehabilitation of stroke
Surjo R. Soekadar, Niels Birbaumer, Marc W. Slutzky, et al.
Neurobiology of Disease (2014) Vol. 83, pp. 172-179
Open Access | Times Cited: 306
Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
Bradley J. Edelman, Jianjun Meng, Daniel Suma, et al.
Science Robotics (2019) Vol. 4, Iss. 31
Open Access | Times Cited: 301
Toward a hybrid brain–computer interface based on imagined movement and visual attention
Brendan Z. Allison, C. Brunner, V. Kaiser, et al.
Journal of Neural Engineering (2010) Vol. 7, Iss. 2, pp. 026007-026007
Closed Access | Times Cited: 291
Single-trial EEG classification of motor imagery using deep convolutional neural networks
Zhichuan Tang, Chao Li, Shouqian Sun
Optik (2016) Vol. 130, pp. 11-18
Closed Access | Times Cited: 286
Does the ‘P300’ speller depend on eye gaze?
Peter Brunner, Sonja Joshi, S Briskin, et al.
Journal of Neural Engineering (2010) Vol. 7, Iss. 5, pp. 056013-056013
Open Access | Times Cited: 285
Brain–Computer Interfaces: A Gentle Introduction
Bernhard Graimann, Brendan Z. Allison, Gert Pfurtscheller
˜The œfrontiers collection (2009), pp. 1-27
Closed Access | Times Cited: 284
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