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 Signal Complexity Measurements to Enhance BCI-Based Stroke Patients’ Rehabilitation
Noor Kamal Al-Qazzaz, Alaa A. Aldoori, Sawal Hamid Md Ali, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3889-3889
Open Access | Times Cited: 19

Showing 19 citing articles:

Mapping the evolution of neurofeedback research: a bibliometric analysis of trends and future directions
Walton Wider, Jasmine Adela Mutang, Bee Seok Chua, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 4

Fractal dimension and clinical neurophysiology fusion to gain a deeper brain signal understanding: A systematic review
Sadaf Moaveninejad, Simone Cauzzo, Camillo Porcaro
Information Fusion (2025), pp. 102936-102936
Closed Access

A Spiking Neural Network Approach for Classifying Hand Movement and Relaxation from EEG Signal using Time Domain Features
Mohammad Rubaiyat Tanvir Hossain, M. Joy, Md. Shahidur Rahman Chowdhury
WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE (2025) Vol. 22, pp. 133-151
Open Access

The Application of Entropy in Motor Imagery Paradigms of Brain–Computer Interfaces
Chengzhen Wu, Bo Yao, Xin Zhang, et al.
Brain Sciences (2025) Vol. 15, Iss. 2, pp. 168-168
Open Access

Decoding the Mind: Translating Human Thought with EEG Signals
Norbert Francis, G. Vadivu
Communications in computer and information science (2025), pp. 180-190
Closed Access

Brain–computer interfaces in 2023–2024
Shugeng Chen, Mingyi Chen, Xu Wang, et al.
Brain‐X (2025) Vol. 3, Iss. 1
Open Access

Post-stroke spontaneous motor recovery in mice can be predicted from acute-phase local field potential using machine learning
Nicolò Meneghetti, Michael Lassi, Verediana Massa, et al.
APL Bioengineering (2025) Vol. 9, Iss. 2
Open Access

EEGGAN-Net: enhancing EEG signal classification through data augmentation
Jiuxiang Song, Qiang Zhai, Chuang Wang, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 3

A Post-Stroke Rehabilitation System With Compensatory Movement Detection Using Virtual Reality and Electroencephalogram Technologies
Chi-Huang Shih, Pei-Jung Lin, Yen‐Lin Chen, et al.
IEEE Access (2024) Vol. 12, pp. 61418-61432
Open Access | Times Cited: 2

EEG Motor Imagery Classification: Tangent Space with Gate-Generated Weight Classifier
Sara Omari, Adil Omari, Fares J. Abu‐Dakka, et al.
Biomimetics (2024) Vol. 9, Iss. 8, pp. 459-459
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

BCI Channel Reduction and Optimization for Stroke Rehabilitation
Mohamed Nabil Gaber, Ahmed M. Awadallah, Mohamed A. A. Eldosoky, et al.
(2024), pp. 131-136
Closed Access

Segmentasi Data Sinyal EEG Berdasarkan Domain Waktu Sebagai Dasar Dalam Pengolahan Sinyal Pengambilan Keputusan Dalam Rehabilitasi Stroke
MY Teguh Sulistyono, Dyah Ernawati, Stalina Anggraeny Dewi Amodia, et al.
JOINS (Journal of Information System) (2024) Vol. 9, Iss. 1, pp. 67-74
Open Access

Early dementia detection and severity classification with deep SqueezeNet convolutional neural network using EEG images
Noor Kamal Al-Qazzaz, Sawal Hamid Md Ali, Siti Anom Ahmad
Elsevier eBooks (2024), pp. 171-183
Closed Access

Identification of Suitable Discrete Wavelet Order for Motor Imagery and Motor Movement Waveforms
M. Anna Latha, R. Ramésh, M. Sai Neeharika, et al.
Smart innovation, systems and technologies (2024), pp. 305-317
Closed Access

Revolutionizing Stroke Rehabilitation: Integrating Technology and Automation for Enhanced Patient Outcomes
Rahma M. Abdulaziz, Mohanned Loqman
Lecture notes in networks and systems (2024), pp. 777-796
Closed Access

A hybrid network using transformer with modified locally linear embedding and sliding window convolution for EEG decoding
Ketong Li, Peng Chen, Chen Qian, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 6, pp. 066049-066049
Closed Access

Exploring Machine Learning Classification of Movement Phases in Hemiparetic Stroke Patients: A Controlled EEG-tDCS Study
Rishishankar E. Suresh, M. S. Zobaer, Matthew Triano, et al.
Brain Sciences (2024) Vol. 15, Iss. 1, pp. 28-28
Open Access

Classification of Motor Imagery Using Trial Extension in Spatial Domain with Rhythmic Components of EEG
Md. Khademul Islam Molla, S. S. Riaz Ahamed, Ahmed M. M. Almassri, et al.
Mathematics (2023) Vol. 11, Iss. 17, pp. 3801-3801
Open Access

Quantitative Electroencephalography in Outpatient Children with Autistic Spectrum Disorders: A Case-Control Study in the Child Welfare Teaching Hospital, Baghdad
Esraa Emad Abdulrazaq, Ghassan Thabit Saeed
Al-Rafidain Journal of Medical Sciences ( ISSN 2789-3219 ) (2023) Vol. 5, Iss. 1S, pp. S113-118
Open Access

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