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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:

Single-Trial NIRS Data Classification for Brain–Computer Interfaces Using Graph Signal Processing
Panagiotis C. Petrantonakis, Ioannis Kompatsiaris
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 26, Iss. 9, pp. 1700-1709
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Brain–machine interfaces using functional near-infrared spectroscopy: a review
Keum‐Shik Hong, Usman Ghafoor, Muhammad Jawad Khan
Artificial Life and Robotics (2020) Vol. 25, Iss. 2, pp. 204-218
Closed Access | Times Cited: 53
A Hybrid GCN and Filter-Based Framework for Channel and Feature Selection: An fNIRS-BCI Study
Amad Zafar, Karam Dad Kallu, M. Atif Yaqub, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 16
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis
Hammad Nazeer, Noman Naseer, Rayyan Azam Khan, et al.
Journal of Neural Engineering (2020) Vol. 17, Iss. 5, pp. 056025-056025
Closed Access | Times Cited: 44
Metaheuristic Optimization-Based Feature Selection for Imagery and Arithmetic Tasks: An fNIRS Study
Amad Zafar, Shaik Javeed Hussain, Muhammad Umair Ali, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3714-3714
Open Access | Times Cited: 13
Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS
M. N. Afzal Khan, Nada Zahour, Usman Tariq, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 428-428
Open Access
Spectral representation of EEG data using learned graphs with application to motor imagery decoding
Maliheh Miri, Vahid Abootalebi, Hamid Saeedi‐Sourck, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105537-105537
Open Access | Times Cited: 12
Task-Specific Stimulation Duration for fNIRS Brain-Computer Interface
M. N. Afzal Khan, M. Raheel Bhutta, Keum‐Shik Hong
IEEE Access (2020) Vol. 8, pp. 89093-89105
Open Access | Times Cited: 29
Enhancing Classification Performance of fNIRS-BCI by Identifying Cortically Active Channels Using the z-Score Method
Hammad Nazeer, Noman Naseer, Aakif Mehboob, et al.
Sensors (2020) Vol. 20, Iss. 23, pp. 6995-6995
Open Access | Times Cited: 23
Connectivity steered graph Fourier transform for motor imagery BCI decoding
Kostas Georgiadis, Nikolaos Laskaris, Spiros Nikolopoulos, et al.
Journal of Neural Engineering (2019) Vol. 16, Iss. 5, pp. 056021-056021
Closed Access | Times Cited: 21
Most favorable stimulation duration in the sensorimotor cortex for fNIRS-based BCI
M. N. Afzal Khan, Keum‐Shik Hong
Biomedical Optics Express (2021) Vol. 12, Iss. 10, pp. 5939-5939
Open Access | Times Cited: 16
Effects of a Brain-Computer Interface-Operated Lower Limb Rehabilitation Robot on Motor Function Recovery in Patients with Stroke
Chao Li, Jinyu Wei, Xiaoqun Huang, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-8
Open Access | Times Cited: 16
Covariation Informed Graph Slepians for Motor Imagery Decoding
Kostas Georgiadis, Dimitrios A. Adamos, Spiros Nikolopoulos, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 340-349
Open Access | Times Cited: 15
Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising
Tiziana Cattai, Gaetano Scarano, Marie‐Constance Corsi, et al.
IEEE Transactions on Signal and Information Processing over Networks (2021) Vol. 7, pp. 493-508
Open Access | Times Cited: 15
LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI
Asma Gulraiz, Noman Naseer, Hammad Nazeer, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2575-2575
Open Access | Times Cited: 10
Voxel-Wise Brain Graphs from Diffusion MRI: Intrinsic Eigenspace Dimensionality and Application to Functional MRI
Hamid Behjat, Anjali Tarun, David Abramian, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 9
Fugl-Meyer hand motor imagination recognition for brain–computer interfaces using only fNIRS
Chenguang Li, Hongjun Yang, Long Cheng
Complex & Intelligent Systems (2021) Vol. 8, Iss. 2, pp. 731-741
Open Access | Times Cited: 11
Voxel-Wise Brain Graphs From Diffusion MRI: Intrinsic Eigenspace Dimensionality and Application to Functional MRI
Hamid Behjat, Anjali Tarun, David Abramian, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2023) Vol. 6, pp. 158-167
Open Access | Times Cited: 4
A Functional Region Decomposition Method to Enhance fNIRS Classification of Mental States
Jianda Han, Jiewei Lu, Jianeng Lin, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 11, pp. 5674-5683
Closed Access | Times Cited: 6
Higher Order Crossings Analysis of Signals Over Graphs
Panagiotis C. Petrantonakis
IEEE Signal Processing Letters (2021) Vol. 28, pp. 837-841
Closed Access | Times Cited: 7
A Coarse/Fine Dual-Stage Motion Artifacts Removal Algorithm for Wearable NIRS Systems
Linfeng Zhou, Cheng Chen, Zhenhong Liu, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 12, pp. 13574-13583
Closed Access | Times Cited: 6
Spectral Representation of EEG Data using Learned Graphs with Application to Motor Imagery Decoding
Maliheh Miri, Vahid Abootalebi, Hamid Saeedi‐Sourck, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging
Yusuf Yiğit Pilavcı, Nicolas Farrugia
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2019) Vol. 3, pp. 1140-1144
Open Access | Times Cited: 5
Identification of gait imagery based on fNIRS and class-dependent sparse representation
Hongquan Li, Anmin Gong, Lei Zhao, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102597-102597
Closed Access | Times Cited: 5
Using Discriminative Lasso to Detect a Graph Fourier Transform (GFT) Subspace for robust decoding in Motor Imagery BCI
Kostas Georgiadis, Nikolaos Laskaris, Spiros Nikolopoulos, et al.
(2019), pp. 6167-6171
Closed Access | Times Cited: 4
Unraveling the Motor Cortex for Individual Finger Tapping Movements: An fNIRS Study
Haroon Khan, M. N. Afzal Khan, Usman Tariq, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 21, pp. 34724-34732
Open Access
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