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:

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

Showing 26-50 of 285 citing articles:

Motor imagery EEG recognition with KNN-based smooth auto-encoder
Xianlun Tang, Ting Wang, Yiming Du, et al.
Artificial Intelligence in Medicine (2019) Vol. 101, pp. 101747-101747
Closed Access | Times Cited: 56

Review on Control Strategies for Lower Limb Rehabilitation Exoskeletons
Wenzhou Li, Guang‐Zhong Cao, Aibin Zhu
IEEE Access (2021) Vol. 9, pp. 123040-123060
Open Access | Times Cited: 54

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

Biosignal-Based Human–Machine Interfaces for Assistance and Rehabilitation: A Survey
Daniele Esposito, Jessica Centracchio, Emilio Andreozzi, et al.
Sensors (2021) Vol. 21, Iss. 20, pp. 6863-6863
Open Access | Times Cited: 48

Neural tissue-microelectrode interaction: Brain micromotion, electrical impedance, and flexible microelectrode insertion
Naser Sharafkhani, Abbas Z. Kouzani, Scott D. Adams, et al.
Journal of Neuroscience Methods (2021) Vol. 365, pp. 109388-109388
Closed Access | Times Cited: 45

A Review of the Role of Machine Learning Techniques towards Brain–Computer Interface Applications
Saim Rasheed
Machine Learning and Knowledge Extraction (2021) Vol. 3, Iss. 4, pp. 835-862
Open Access | Times Cited: 44

Brain–Computer Interfacing Using Functional Near-Infrared Spectroscopy (fNIRS)
Kogulan Paulmurugan, Vimalan Vijayaragavan, Sayantan Ghosh, et al.
Biosensors (2021) Vol. 11, Iss. 10, pp. 389-389
Open Access | Times Cited: 41

IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal
Chun‐Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, et al.
NeuroImage (2022) Vol. 263, pp. 119586-119586
Open Access | Times Cited: 34

Virtual Reality Cognitive Gaming Based on Brain Computer Interfacing: A Narrative Review
Marios Hadjiaros, Kleanthis Kleanthous, Andria Shimi, et al.
IEEE Access (2023) Vol. 11, pp. 18399-18416
Open Access | Times Cited: 16

Telling tales: unlocking the potential of AAC technologies
Annalu Waller
International Journal of Language & Communication Disorders (2018) Vol. 54, Iss. 2, pp. 159-169
Open Access | Times Cited: 58

A Decoding Scheme for Incomplete Motor Imagery EEG With Deep Belief Network
Yaqi Chu, Xingang Zhao, Yijun Zou, et al.
Frontiers in Neuroscience (2018) Vol. 12
Open Access | Times Cited: 51

A Review of Error-Related Potential-Based Brain–Computer Interfaces for Motor Impaired People
Akshay Kumar, Lin Gao, Elena Pirogova, et al.
IEEE Access (2019) Vol. 7, pp. 142451-142466
Open Access | Times Cited: 48

A Hybrid Speller Design Using Eye Tracking and SSVEP Brain–Computer Interface
Malik Muhammad Naeem Mannan, Muhammad Ahmad Kamran, Shinil Kang, et al.
Sensors (2020) Vol. 20, Iss. 3, pp. 891-891
Open Access | Times Cited: 44

Motor Imagery Based Continuous Teleoperation Robot Control with Tactile Feedback
XU Bao-guo, Wenlong Li, Xiaohang He, et al.
Electronics (2020) Vol. 9, Iss. 1, pp. 174-174
Open Access | Times Cited: 42

An Introductory Tutorial on Brain–Computer Interfaces and Their Applications
Andrea Bonci, Simone Fiori, Hiroshi Higashi, et al.
Electronics (2021) Vol. 10, Iss. 5, pp. 560-560
Open Access | Times Cited: 40

The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
Mamunur Rashid, Bifta Sama Bari, Md Jahid Hasan, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e374-e374
Open Access | Times Cited: 39

A binary harmony search algorithm as channel selection method for motor imagery-based BCI
Bin Shi, Quan Wang, Shuai Yin, et al.
Neurocomputing (2021) Vol. 443, pp. 12-25
Open Access | Times Cited: 37

Recent advances and current trends in brain‐computer interface research and their applications
Martina Žabčíková, Zuzana Koudelková, Roman Jašek, et al.
International Journal of Developmental Neuroscience (2021) Vol. 82, Iss. 2, pp. 107-123
Closed Access | Times Cited: 34

Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment Analysis
Deba Prasad Dash, Maheshkumar H. Kolekar, Chinmay Chakraborty, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2022) Vol. 23, Iss. 1, pp. 1-29
Open Access | Times Cited: 25

Ambient assisted living through passive brain–computer interface technology for assisting paralyzed people
Sanchita Goswami, Prithu Banik, Aniket Kumar Meena, et al.
Elsevier eBooks (2025), pp. 269-294
Closed 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

Temporal and frequency features play different role in recognizing preparation of voluntary movements from electroencephalogram
Artur Sagatdinov, Mikhail Lipkovich, Veronika M. Knyazeva, et al.
The European Physical Journal Special Topics (2025)
Closed Access

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