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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.

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Showing 1-25 of 33 citing articles:

Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review
Nuraini Jamil, Abdelkader Nasreddine Belkacem, Sofía Ouhbi, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4754-4754
Open Access | Times Cited: 81
The role of mirror mechanism in the recovery, maintenance, and acquisition of motor abilities
Giacomo Rizzolatti, Maddalena Fabbri‐Destro, Arturo Nuara, et al.
Neuroscience & Biobehavioral Reviews (2021) Vol. 127, pp. 404-423
Closed Access | Times Cited: 63
Effects of motor imagery based brain-computer interface on upper limb function and attention in stroke patients with hemiplegia: a randomized controlled trial
Xiaolu Liu, Wendong Zhang, Weibo Li, et al.
BMC Neurology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 23
The 2022 yearbook of Neurorestoratology
Hongyun Huang, John R. Bach, Hari Shanker Sharma, et al.
Journal of Neurorestoratology (2023) Vol. 11, Iss. 2, pp. 100054-100054
Open Access | Times Cited: 20
Brain-machine interface-based training for improving upper extremity function after stroke: A meta-analysis of randomized controlled trials
Yulei Xie, Yuxuan Yang, Hong Jiang, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 22
Effects of Artificial Intelligence Rehabilitation on Motor ability and Daily living ability of Hemiplegic Patients with Stroke—Meta-Analysis of Randomized Controlled Trials (Preprint)
Ziwen Chen, Hou Guanhua, Lili Yang, et al.
(2025)
Closed Access
Efficacy and safety of brain–computer interface for stroke rehabilitation: an overview of systematic review
Jiajun Liu, Yiwei Li, Dongjie Zhao, et al.
Frontiers in Human Neuroscience (2025) Vol. 19
Open Access
Evidence of neuroplasticity with brain–computer interface in a randomized trial for post-stroke rehabilitation: a graph-theoretic study of subnetwork analysis
Zhenzhen Ma, Jia‐Jia Wu, Xu‐Yun Hua, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 12
Effects of brain-computer interface based training on post-stroke upper-limb rehabilitation: a meta-analysis
Dan Li, Ruoyu Li, Yunping Song, et al.
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access
The Effect of Brain–Computer Interface Training on Rehabilitation of Upper Limb Dysfunction After Stroke: A Meta-Analysis of Randomized Controlled Trials
Weiwei Yang, Xiaoyun Zhang, Zhenjing Li, et al.
Frontiers in Neuroscience (2022) Vol. 15
Open Access | Times Cited: 18
The role of brain oscillations in post-stroke motor recovery: An overview
Giulia C. Leonardi, Rosella Ciurleo, Francesca Cucinotta, et al.
Frontiers in Systems Neuroscience (2022) Vol. 16
Open Access | Times Cited: 18
The effect of brain-computer interface controlled functional electrical stimulation training on rehabilitation of upper limb after stroke: a systematic review and meta-analysis
Chunlin Ren, X. Li, Qian Gao, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 3
The Application of Brain-Computer Interface in Upper Limb Dysfunction After Stroke: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Yang Peng, Jing Wang, Zicai Liu, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 14
Efficacy of brain-computer interfaces on upper extremity motor function rehabilitation after stroke: A systematic review and meta-analysis
Ming Zhang, Feilong Zhu, Fan Jia, et al.
Neurorehabilitation (2023) Vol. 54, Iss. 2, pp. 199-212
Closed Access | Times Cited: 8
Verum versus Sham brain-computer interface on upper limb function recovery after stroke: A systematic review and meta-analysis of randomized controlled trials
Yi-zhou Shou, Xinhua Wang, Guifen Yang
Medicine (2023) Vol. 102, Iss. 26, pp. e34148-e34148
Open Access | Times Cited: 7
Observation of others’ actions during limb immobilization prevents the subsequent decay of motor performance
Doriana De Marco, Emilia Scalona, Maria Chiara Bazzini, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 47
Open Access | Times Cited: 15
Brain–computer interface-based action observation combined with peripheral electrical stimulation enhances corticospinal excitability in healthy subjects and stroke patients
Min-Gyu Kim, Hyunmi Lim, Hye Sun Lee, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 3, pp. 036039-036039
Closed Access | Times Cited: 10
Application of action observation therapy in stroke rehabilitation: A systematic review
Chenping Zhang, Xiawen Li, Hongbiao Wang
Brain and Behavior (2023) Vol. 13, Iss. 8
Open Access | Times Cited: 5
Therapeutic Effectiveness of Brain Computer Interfaces in Stroke Patients: A Systematic Review
Yordan Penev, Alice A Beneke, Kevin T. Root, et al.
Journal of Experimental Neurology (2023) Vol. 4, Iss. 3, pp. 87-93
Open Access | Times Cited: 5
Brain-computer interface training based on visual and motor feedback improves convalescent stroke patients with hemiplegia: a randomized clinical trial
Guannan Li, Yang Yu, Zhengzhe Cui, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Brain–Computer Interfaces for Upper Limb Motor Recovery after Stroke: Current Status and Development Prospects (Review)
О. А. Мокиенко, R. Kh. Lyukmanov, Pavel Bobrov, et al.
Sovremennye tehnologii v medicine (2023) Vol. 15, Iss. 6, pp. 63-63
Open Access | Times Cited: 3
Neural Bypasses: Literature Review and Future Directions in Developing Artificial Neural Connections
Isabella Zuccaroli, Brandon Lucke–Wold, Adhith Palla, et al.
OBM Neurobiology (2023) Vol. 07, Iss. 01, pp. 1-24
Open Access | Times Cited: 3
Effect of different modalities of artificial intelligence rehabilitation techniques on patients with upper limb dysfunction after stroke—A network meta-analysis of randomized controlled trials
Yu Zhu, Chen Wang, Jin Li, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 3
Motion Analysis for Experimental Evaluation of an Event-Driven FES System
Andrea Prestia, Fábio Rossi, Andrea Mongardi, et al.
IEEE Transactions on Biomedical Circuits and Systems (2021) Vol. 16, Iss. 1, pp. 3-14
Closed Access | Times Cited: 6
Scoping Review on Brain-Computer Interface–Controlled Electrical Stimulation Interventions for Upper Limb Rehabilitation in Adults: A Look at Participants, Interventions, and Technology
Lazar I. Jovanovic, Hope Jervis-Rademeyer, Maureen Pakosh, et al.
Physiotherapy Canada (2022) Vol. 75, Iss. 3, pp. 276-290
Closed Access | Times Cited: 4
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