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–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

Showing 1-25 of 882 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: 2435

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: 1101

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: 744

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: 736

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: 559

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: 544

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

EEG-Neurofeedback as a Tool to Modulate Cognition and Behavior: A Review Tutorial
Stefanie Enriquez‐Geppert, René J. Huster, Christoph S. Herrmann
Frontiers in Human Neuroscience (2017) Vol. 11
Open Access | Times Cited: 449

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: 447

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: 383

Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial
Alexander Frolov, О. А. Мокиенко, R. Kh. Lyukmanov, et al.
Frontiers in Neuroscience (2017) Vol. 11
Open Access | Times Cited: 321

Intensive speech and language therapy in patients with chronic aphasia after stroke: a randomised, open-label, blinded-endpoint, controlled trial in a health-care setting
Caterina Breitenstein, Tanja Grewe, Agnes Flöel, et al.
The Lancet (2017) Vol. 389, Iss. 10078, pp. 1528-1538
Open Access | Times Cited: 317

Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review
Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14681-14722
Closed Access | Times Cited: 313

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: 309

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

Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks
Oyeon Kwon, Min-Ho Lee, Cuntai Guan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 31, Iss. 10, pp. 3839-3852
Open Access | Times Cited: 301

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: 285

A convolutional neural network for steady state visual evoked potential classification under ambulatory environment
No-Sang Kwak, Klaus‐Robert Müller, Seong‐Whan Lee
PLoS ONE (2017) Vol. 12, Iss. 2, pp. e0172578-e0172578
Open Access | Times Cited: 277

The self-regulating brain and neurofeedback: Experimental science and clinical promise
Robert T. Thibault, Michael Lifshitz, Amir Raz
Cortex (2015) Vol. 74, pp. 247-261
Open Access | Times Cited: 235

EEG-based brain–computer interfaces
Dennis J. McFarland, Jonathan R. Wolpaw
Current Opinion in Biomedical Engineering (2017) Vol. 4, pp. 194-200
Open Access | Times Cited: 228

A survey of sensor fusion methods in wearable robotics
Domen Novak, Robert Riener
Robotics and Autonomous Systems (2014) Vol. 73, pp. 155-170
Closed Access | Times Cited: 226

Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface
Natalie Mrachacz‐Kersting, Ning Jiang, Andrew James Thomas Stevenson, et al.
Journal of Neurophysiology (2015) Vol. 115, Iss. 3, pp. 1410-1421
Open Access | Times Cited: 221

EEG-Based Strategies to Detect Motor Imagery for Control and Rehabilitation
Kai Keng Ang, Cuntai Guan
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 25, Iss. 4, pp. 392-401
Closed Access | Times Cited: 219

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