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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:

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

Showing 1-25 of 590 citing articles:

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
Closed-loop brain training: the science of neurofeedback
Ranganatha Sitaram, Tomas Ros, Luke E. Stoeckel, et al.
Nature reviews. Neuroscience (2016) Vol. 18, Iss. 2, pp. 86-100
Closed Access | Times Cited: 1110
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
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
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
fNIRS-based brain-computer interfaces: a review
Noman Naseer, Keum‐Shik Hong
Frontiers in Human Neuroscience (2015) Vol. 9
Open Access | Times Cited: 880
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
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
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation
Mikhail Lebedev, Miguel A. L. Nicolelis
Physiological Reviews (2017) Vol. 97, Iss. 2, pp. 767-837
Closed Access | Times Cited: 550
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 Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation
Iñaki Iturrate, Javier M. Antelis, Andrea Kübler, et al.
IEEE Transactions on Robotics (2009) Vol. 25, Iss. 3, pp. 614-627
Open Access | Times Cited: 503
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
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
Brain‐computer interfaces for post‐stroke motor rehabilitation: a meta‐analysis
María A. Cervera, Surjo R. Soekadar, Junichi Ushiba, et al.
Annals of Clinical and Translational Neurology (2018) Vol. 5, Iss. 5, pp. 651-663
Open Access | Times Cited: 390
Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective
Roger Gassert, Volker Dietz
Journal of NeuroEngineering and Rehabilitation (2018) Vol. 15, Iss. 1
Open Access | Times Cited: 347
Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study
Girijesh Prasad, Pawel Herman, Damien Coyle, et al.
Journal of NeuroEngineering and Rehabilitation (2010) Vol. 7, Iss. 1
Open Access | Times Cited: 317
BCI for stroke rehabilitation: motor and beyond
Ravikiran Mane, Tushar Chouhan, Cuntai Guan
Journal of Neural Engineering (2020) Vol. 17, Iss. 4, pp. 041001-041001
Open Access | Times Cited: 313
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
Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke
Kai Keng Ang, Cuntai Guan, Kok Soon Phua, et al.
Frontiers in Neuroengineering (2014) Vol. 7
Open Access | Times Cited: 306
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
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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