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: Definitions and principles
Jonathan R. Wolpaw, José del R. Millán, Nick F. Ramsey
Handbook of clinical neurology (2020), pp. 15-23
Closed Access | Times Cited: 109

Showing 1-25 of 109 citing articles:

Flexible Electrodes for Brain–Computer Interface System
Junjie Wang, Tengjiao Wang, Haoyan Liu, et al.
Advanced Materials (2023) Vol. 35, Iss. 47
Open Access | Times Cited: 41

Implantable brain machine interfaces: first-in-human studies, technology challenges and trends
Adrien Rapeaux, Timothy G. Constandinou
Current Opinion in Biotechnology (2021) Vol. 72, pp. 102-111
Open Access | Times Cited: 78

Current Challenges for the Practical Application of Electroencephalography-Based Brain–Computer Interfaces
Minpeng Xu, Feng He, Tzyy‐Ping Jung, et al.
Engineering (2021) Vol. 7, Iss. 12, pp. 1710-1712
Open Access | Times Cited: 70

Bridging Minds and Machines: The Recent Advances of Brain-Computer Interfaces in Neurological and Neurosurgical Applications
Wireko Andrew Awuah, Arjun Ahluwalia, Kwadwo Darko, et al.
World Neurosurgery (2024) Vol. 189, pp. 138-153
Open Access | Times Cited: 13

Brain-computer interface paradigms and neural coding
Pengrui Tai, Peng Ding, Fan Wang, et al.
Frontiers in Neuroscience (2024) Vol. 17
Open Access | Times Cited: 10

Brain–Computer Interfaces for Communication in Patients with Disorders of Consciousness: A Gap Analysis and Scientific Roadmap
Nicholas D. Schiff, Michael N. Diringer, Karin Diserens, et al.
Neurocritical Care (2024) Vol. 41, Iss. 1, pp. 129-145
Closed Access | Times Cited: 10

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 Systems for Upper and Lower Limb Rehabilitation: A Systematic Review
Daniela Camargo-Vargas, Mauro Callejas-Cuervo, Stefano Mazzoleni
Sensors (2021) Vol. 21, Iss. 13, pp. 4312-4312
Open Access | Times Cited: 51

Brain-computer interfaces in safety and security fields: Risks and applications
Francisco Brocal
Safety Science (2023) Vol. 160, pp. 106051-106051
Open Access | Times Cited: 16

Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials
Iason Batzianoulis, Fumiaki Iwane, Shupeng Wei, et al.
Communications Biology (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 39

Learning to control a BMI-driven wheelchair for people with severe tetraplegia
Luca Tonin, Serafeim Perdikis, Taylan D. Kuzu, et al.
iScience (2022) Vol. 25, Iss. 12, pp. 105418-105418
Open Access | Times Cited: 26

Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography signals
Lincong Pan, Kun Wang, Lichao Xu, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 6, pp. 066011-066011
Closed Access | Times Cited: 13

A brain topography graph embedded convolutional neural network for EEG-based motor imagery classification
Ji Shi, Jiaming Tang, Zhihuan Lu, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106401-106401
Closed Access | Times Cited: 5

Combining VR with electroencephalography as a frontier of brain-computer interfaces
Hongbian Li, Hyonyoung Shin, Luis Sentis, et al.
Device (2024) Vol. 2, Iss. 6, pp. 100425-100425
Open Access | Times Cited: 5

Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review
Wenjie Jin, Xinxin Zhu, Lifeng Qian, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 5

Several inaccurate or erroneous conceptions and misleading propaganda about brain-computer interfaces
Yanxiao Chen, Fan Wang, Tianwen Li, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 4

Neurorights in the Constitution: from neurotechnology to ethics and politics
Sergio Ruíz, Luca Valera, Paulina Ramos, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2024) Vol. 379, Iss. 1915
Open Access | Times Cited: 4

AMEEGNet: attention-based multiscale EEGNet for effective motor imagery EEG decoding
Xuejian Wu, Yaqi Chu, Qing Li, et al.
Frontiers in Neurorobotics (2025) Vol. 19
Open Access

Brain–computer interfaces for security and authentication
Moumita Chanda, Olive Mazumder, Souvik Paul, et al.
Elsevier eBooks (2025), pp. 205-225
Closed Access

Reward signals in the motor cortex: from biology to neurotechnology
Gérard Derosière, Solaiman Shokur, Pierre Vassiliadis
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

Neurotechnology Combined with Artificial Intelligence and Neurorights: A Legal Discussion
Tilmon McCullum, Laura Mancera
Revista La Propiedad Inmaterial (2025), Iss. 39, pp. 145-183
Open Access

Integrating a consumer brain-computer interface with IoT: A systematic review
Zahraa Maki, Abbas Abdulazeez Abdulhameed
AIP conference proceedings (2025) Vol. 3224, pp. 030031-030031
Closed Access

Functional electrical stimulation for motor neurorehabilitation
Carolina B. Tabernig, Erika G. Spaich
Elsevier eBooks (2025), pp. 229-244
Closed Access

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