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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 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

Showing 1-25 of 1041 citing articles:

Deep learning with convolutional neural networks for EEG decoding and visualization
Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas D. J. Fiederer, et al.
Human Brain Mapping (2017) Vol. 38, Iss. 11, pp. 5391-5420
Open Access | Times Cited: 2469
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
Review of control strategies for robotic movement training after neurologic injury
Laura Marchal–Crespo, David J. Reinkensmeyer
Journal of NeuroEngineering and Rehabilitation (2009) Vol. 6, Iss. 1
Open Access | Times Cited: 1051
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
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
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 in Medicine
Jerry J. Shih, Dean J. Krusienski, Jonathan R. Wolpaw
Mayo Clinic Proceedings (2012) Vol. 87, Iss. 3, pp. 268-279
Open Access | Times Cited: 624
Neuroplasticity in the context of motor rehabilitation after stroke
Michael A. Dimyan, Leonardo G. Cohen
Nature Reviews Neurology (2011) Vol. 7, Iss. 2, pp. 76-85
Open Access | Times Cited: 623
Brain–computer interface boosts motor imagery practice during stroke recovery
Floriana Pichiorri, Giovanni Morone, Manuela Petti, et al.
Annals of Neurology (2015) Vol. 77, Iss. 5, pp. 851-865
Open Access | Times Cited: 566
Rehabilitation of gait after stroke: a review towards a top-down approach
Juan Manuel Belda Lois, Silvia Mena-del Horno, Ignacio Bermejo-Bosch, et al.
Journal of NeuroEngineering and Rehabilitation (2011) Vol. 8, Iss. 1, pp. 66-66
Open Access | Times Cited: 532
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
Electrocortical activity is coupled to gait cycle phase during treadmill walking
Joseph T. Gwin, Klaus Gramann, Scott Makeig, et al.
NeuroImage (2010) Vol. 54, Iss. 2, pp. 1289-1296
Closed Access | Times Cited: 454
Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke
Andrea Biasiucci, R. Leeb, Iñaki Iturrate, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 448
Brain–Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives
Han Yuan, Bin He
IEEE Transactions on Biomedical Engineering (2014) Vol. 61, Iss. 5, pp. 1425-1435
Open Access | Times Cited: 433
Visual and Auditory Brain–Computer Interfaces
Shangkai Gao, Yijun Wang, Xiaorong Gao, et al.
IEEE Transactions on Biomedical Engineering (2014) Vol. 61, Iss. 5, pp. 1436-1447
Closed Access | Times Cited: 412
An Electrocorticographic Brain Interface in an Individual with Tetraplegia
Wei Wang, Jennifer L. Collinger, Alan D. Degenhart, et al.
PLoS ONE (2013) Vol. 8, Iss. 2, pp. e55344-e55344
Open Access | Times Cited: 386
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
A HIGH-SPEED BRAIN SPELLER USING STEADY-STATE VISUAL EVOKED POTENTIALS
Masaki Nakanishi, Yijun Wang, Yu-Te Wang, et al.
International Journal of Neural Systems (2014) Vol. 24, Iss. 06, pp. 1450019-1450019
Closed Access | Times Cited: 335
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: 302
A cortical neural prosthesis for restoring and enhancing memory
Theodore W. Berger, Robert E. Hampson, Dong Song, et al.
Journal of Neural Engineering (2011) Vol. 8, Iss. 4, pp. 046017-046017
Open Access | Times Cited: 291
EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century
Ioulietta Lazarou, Spiros Nikolopoulos, Panagiotis C. Petrantonakis, et al.
Frontiers in Human Neuroscience (2018) Vol. 12
Open Access | Times Cited: 289
Cognition in action: imaging brain/body dynamics in mobile humans
Klaus Gramann, Joseph T. Gwin, Daniel P. Ferris, et al.
Reviews in the Neurosciences (2011) Vol. 22, Iss. 6
Open Access | Times Cited: 287
A Large Clinical Study on the Ability of Stroke Patients to Use an EEG-Based Motor Imagery Brain-Computer Interface
Kai Keng Ang, Cuntai Guan, Karen Sui Geok Chua, et al.
Clinical EEG and Neuroscience (2011) Vol. 42, Iss. 4, pp. 253-258
Closed Access | Times Cited: 282
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