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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 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

Showing 1-25 of 566 citing articles:

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 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
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: 451
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 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
Virtual reality in cognitive and motor rehabilitation: facts, fiction and fallacies
Gaetano Tieri, Giovanni Morone, Stefano Paolucci, et al.
Expert Review of Medical Devices (2018) Vol. 15, Iss. 2, pp. 107-117
Closed Access | Times Cited: 364
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
An end-to-end deep learning approach to MI-EEG signal classification for BCIs
Hauke Dose, Jakob S. Møller, Helle K. Iversen, et al.
Expert Systems with Applications (2018) Vol. 114, pp. 532-542
Open Access | Times Cited: 308
Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)
Tomas Ros, Stefanie Enriquez‐Geppert, Vadim Zotev, et al.
Brain (2020) Vol. 143, Iss. 6, pp. 1674-1685
Open Access | Times Cited: 290
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
The Senses of Agency and Ownership: A Review
Niclas Braun, Stefan Debener, Nadine Spychała, et al.
Frontiers in Psychology (2018) Vol. 9
Open Access | Times Cited: 252
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
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: 225
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: 223
Role of the Contralesional vs. Ipsilesional Hemisphere in Stroke Recovery
Keith Dodd, Veena A. Nair, Vivek Prabhakaran
Frontiers in Human Neuroscience (2017) Vol. 11
Open Access | Times Cited: 185
Assessment of the Efficacy of EEG-Based MI-BCI With Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation
Ruyi Foong, Kai Keng Ang, Chai Quek, et al.
IEEE Transactions on Biomedical Engineering (2019) Vol. 67, Iss. 3, pp. 786-795
Closed Access | Times Cited: 161
Clinical Application of Virtual Reality for Upper Limb Motor Rehabilitation in Stroke: Review of Technologies and Clinical Evidence
Won‐Seok Kim, Sungmin Cho, Jeonghun Ku, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 10, pp. 3369-3369
Open Access | Times Cited: 159
Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis
Zhongfei Bai, Kenneth N. K. Fong, Jiaqi Zhang, et al.
Journal of NeuroEngineering and Rehabilitation (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 158
Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends
Giovanni Chiarion, Laura Sparacino, Yuri Antonacci, et al.
Bioengineering (2023) Vol. 10, Iss. 3, pp. 372-372
Open Access | Times Cited: 68
Brain computer interface training with motor imagery and functional electrical stimulation for patients with severe upper limb paresis after stroke: a randomized controlled pilot trial
Iris Brunner, Camilla Biering Lundquist, Asger Roer Pedersen, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 18
Hand Rehabilitation Robotics on Poststroke Motor Recovery
Zan Yue, Xue Zhang, Jing Wang
Behavioural Neurology (2017) Vol. 2017, pp. 1-20
Open Access | Times Cited: 168
Efficacy and Brain Imaging Correlates of an Immersive Motor Imagery BCI-Driven VR System for Upper Limb Motor Rehabilitation: A Clinical Case Report
Athanasios Vourvopoulos, Carolina Jorge, Rodolfo Abreu, et al.
Frontiers in Human Neuroscience (2019) Vol. 13
Open Access | Times Cited: 138
Organizing motor imageries
Takashi Hanakawa
Neuroscience Research (2015) Vol. 104, pp. 56-63
Open Access | Times Cited: 118
Motor priming in virtual reality can augment motor-imagery training efficacy in restorative brain-computer interaction: a within-subject analysis
Athanasios Vourvopoulos, Sergi Bermúdez i Badia
Journal of NeuroEngineering and Rehabilitation (2016) Vol. 13, Iss. 1
Open Access | Times Cited: 117
Brain Computer Interface Treatment for Motor Rehabilitation of Upper Extremity of Stroke Patients—A Feasibility Study
Marc Sebastián-Romagosa, Woosang Cho, Rupert Ortner, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 117
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