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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 neurologic rehabilitation practice
Floriana Pichiorri, Donatella Mattia
Handbook of clinical neurology (2020), pp. 101-116
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review
Arrigo Palumbo, Vera Gramigna, Barbara Calabrese, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6285-6285
Open Access | Times Cited: 79
Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation
Siyu Yang, Ruobing Li, Hongtao Li, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 55
A Review of Brain Activity and EEG-Based Brain–Computer Interfaces for Rehabilitation Application
Mostafa Orban, Mahmoud Elsamanty, Kai Guo, et al.
Bioengineering (2022) Vol. 9, Iss. 12, pp. 768-768
Open Access | Times Cited: 50
Why brain-controlled neuroprosthetics matter: mechanisms underlying electrical stimulation of muscles and nerves in rehabilitation
Matija Milosevic, César Márquez-Chin, Kei Masani, et al.
BioMedical Engineering OnLine (2020) Vol. 19, Iss. 1
Open Access | Times Cited: 51
Brain–Computer Interfaces in Neurorecovery and Neurorehabilitation
Michael J. Young, David J. Lin, Leigh R. Hochberg
Seminars in Neurology (2021) Vol. 41, Iss. 02, pp. 206-216
Open Access | Times Cited: 47
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: 21
Brain-Computer Interfaces for Children With Complex Communication Needs and Limited Mobility: A Systematic Review
Silvia Orlandi, Sarah Catherine House, Petra Karlsson, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 35
Post-Stroke Rehabilitation: Challenges and New Perspectives
Giovanni Morone, Floriana Pichiorri
Journal of Clinical Medicine (2023) Vol. 12, Iss. 2, pp. 550-550
Open Access | Times Cited: 15
Non-invasive brain stimulation in cognitive sciences and Alzheimer's disease
Claudia Carrarini, Chiara Pappalettera, Domenica Le Pera, et al.
Frontiers in Human Neuroscience (2025) Vol. 18
Open Access
Design and Evaluation of AR-Based Adaptive Human-Computer Interaction Cognitive Training
Michael Chu, Jing Qu, Tan Zou, et al.
International Journal of Human-Computer Studies (2025), pp. 103504-103504
Closed Access
Neurotechnology in Stroke Rehabilitation
Ujwal Chaudhary
(2025), pp. 51-98
Closed Access
MEG Source Localization via Deep Learning
Dimitrios Pantazis, Amir Adler
Sensors (2021) Vol. 21, Iss. 13, pp. 4278-4278
Open Access | Times Cited: 30
Differentiation among bio- and augmented- feedback in technologically assisted rehabilitation
Giovanni Morone, Sheida Ghanbari Ghooshchy, Angela Palomba, et al.
Expert Review of Medical Devices (2021) Vol. 18, Iss. 6, pp. 513-522
Closed Access | Times Cited: 29
Corticospinal Motor Circuit Plasticity After Spinal Cord Injury: Harnessing Neuroplasticity to Improve Functional Outcomes
Syed Faraz Kazim, Christian A. Bowers, Chad Cole, et al.
Molecular Neurobiology (2021) Vol. 58, Iss. 11, pp. 5494-5516
Closed Access | Times Cited: 27
Effects of Training with a Brain–Computer Interface-Controlled Robot on Rehabilitation Outcome in Patients with Subacute Stroke: A Randomized Controlled Trial
Chenguang Zhao, Fen Ju, Wei Sun, et al.
Neurology and Therapy (2022) Vol. 11, Iss. 2, pp. 679-695
Open Access | Times Cited: 21
EEG-Based Brain Network Analysis of Chronic Stroke Patients After BCI Rehabilitation Training
Gege Zhan, Shugeng Chen, Yanyun Ji, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 21
Conducting polymer‐based nanostructured materials for brain–machine interfaces
Yasamin Ziai, Seyed Shahrooz Zargarian, Chiara Rinoldi, et al.
Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology (2023) Vol. 15, Iss. 5
Open Access | Times Cited: 11
The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a study protocol for a randomized controlled trial to test early and long-term efficacy and to identify determinants of response
Donatella Mattia, Floriana Pichiorri, Emma Colamarino, et al.
BMC Neurology (2020) Vol. 20, Iss. 1
Open Access | Times Cited: 31
Design a Novel BCI for Neurorehabilitation Using Concurrent LFP and EEG Features: A Case Study
Feng Zhao, Yi Sun, Linze Qian, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 69, Iss. 5, pp. 1554-1563
Closed Access | Times Cited: 24
Determining optimal mobile neurofeedback methods for motor neurorehabilitation in children and adults with non-progressive neurological disorders: a scoping review
Ahad Behboodi, Walker A. Lee, Victoria S. Hinchberger, et al.
Journal of NeuroEngineering and Rehabilitation (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 17
EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review
Valentina Galiotta, Ilaria Quattrociocchi, Mariagrazia D’Ippolito, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 16
Evaluation of temporal, spatial and spectral filtering in CSP-based methods for decoding pedaling-based motor tasks using EEG signals
Cristian Felipe Blanco-Díaz, Cristian David Guerrero-Méndez, Denis Delisle-Rodríguez, et al.
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 3, pp. 035003-035003
Closed Access | Times Cited: 3
Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients
Valeria de Seta, Jlenia Toppi, Emma Colamarino, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 14
Brain and Muscle derived features to discriminate simple hand motor tasks for a rehabilitative BCI: comparative study on healthy and post-stroke individuals
Valeria de Seta, Emma Colamarino, Floriana Pichiorri, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 6, pp. 066015-066015
Closed Access | Times Cited: 2
Assessing Consciousness through Neurofeedback and Neuromodulation: Possibilities and Challenges
Martina Vatrano, Idan Efim Nemirovsky, Paolo Tonin, et al.
Life (2023) Vol. 13, Iss. 8, pp. 1675-1675
Open Access | Times Cited: 6
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