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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:

fNIRS-based brain-computer interfaces: a review
Noman Naseer, Keum‐Shik Hong
Frontiers in Human Neuroscience (2015) Vol. 9
Open Access | Times Cited: 880

Showing 1-25 of 880 citing articles:

The present and future use of functional near‐infrared spectroscopy (fNIRS) for cognitive neuroscience
Paola Pinti, Ilias Tachtsidis, Antonia F. de C. Hamilton, et al.
Annals of the New York Academy of Sciences (2018) Vol. 1464, Iss. 1, pp. 5-29
Open Access | Times Cited: 847
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation
Mikhail Lebedev, Miguel A. L. Nicolelis
Physiological Reviews (2017) Vol. 97, Iss. 2, pp. 767-837
Closed Access | Times Cited: 550
Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging in Exercise–Cognition Science: A Systematic, Methodology-Focused Review
Fabian Herold, Patrick Wiegel, Felix Scholkmann, et al.
Journal of Clinical Medicine (2018) Vol. 7, Iss. 12, pp. 466-466
Open Access | Times Cited: 355
Functional Near-Infrared Spectroscopy (fNIRS) for Assessing Cerebral Cortex Function During Human Behavior in Natural/Social Situations: A Concise Review
Valentina Quaresima, Marco Ferrari
Organizational Research Methods (2016) Vol. 22, Iss. 1, pp. 46-68
Closed Access | Times Cited: 329
Sleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation
Khald A. I. Aboalayon, Miad Faezipour, Wafaa S. Almuhammadi, et al.
Entropy (2016) Vol. 18, Iss. 9, pp. 272-272
Open Access | Times Cited: 308
Single-trial EEG classification of motor imagery using deep convolutional neural networks
Zhichuan Tang, Chao Li, Shouqian Sun
Optik (2016) Vol. 130, pp. 11-18
Closed Access | Times Cited: 286
Hybrid Brain–Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review
Keum‐Shik Hong, Muhammad Jawad Khan
Frontiers in Neurorobotics (2017) Vol. 11
Open Access | Times Cited: 237
Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
Keum‐Shik Hong, Muhammad Jawad Khan, Melissa Jiyoun Hong
Frontiers in Human Neuroscience (2018) Vol. 12
Open Access | Times Cited: 237
A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers
Xiang Zhang, Lina Yao, Xianzhi Wang, et al.
Journal of Neural Engineering (2020) Vol. 18, Iss. 3, pp. 031002-031002
Open Access | Times Cited: 228
Hybrid EEG–fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control
Muhammad Jawad Khan, Keum‐Shik Hong
Frontiers in Neurorobotics (2017) Vol. 11
Open Access | Times Cited: 210
Open Access Dataset for EEG+NIRS Single-Trial Classification
Jaeyoung Shin, Alexander von Lühmann, Benjamin Blankertz, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 25, Iss. 10, pp. 1735-1745
Closed Access | Times Cited: 202
Passive BCI based on drowsiness detection: an fNIRS study
Muhammad Jawad Khan, Keum‐Shik Hong
Biomedical Optics Express (2015) Vol. 6, Iss. 10, pp. 4063-4063
Open Access | Times Cited: 196
Measuring Mental Workload with EEG+fNIRS
Haleh Aghajani, Marc Garbey, Ahmet Omurtag
Frontiers in Human Neuroscience (2017) Vol. 11
Open Access | Times Cited: 192
Functional Near Infrared Spectroscopy: Enabling routine functional brain imaging
Meryem A. Yücel, Juliette Selb, Theodore J. Huppert, et al.
Current Opinion in Biomedical Engineering (2017) Vol. 4, pp. 78-86
Open Access | Times Cited: 184
Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing
Javier Marín‐Morales, Carmen Llinares, Jaime Guixeres, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5163-5163
Open Access | Times Cited: 181
Interface, interaction, and intelligence in generalized brain–computer interfaces
Xiaorong Gao, Yijun Wang, Xiaogang Chen, et al.
Trends in Cognitive Sciences (2021) Vol. 25, Iss. 8, pp. 671-684
Closed Access | Times Cited: 175
Deep learning for hybrid EEG-fNIRS brain–computer interface: application to motor imagery classification
Antonio Maria Chiarelli, Pierpaolo Croce, Arcangelo Merla, et al.
Journal of Neural Engineering (2018) Vol. 15, Iss. 3, pp. 036028-036028
Closed Access | Times Cited: 172
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Alexander E. Hramov, Vladimir Maksimenko, Alexander N. Pisarchik
Physics Reports (2021) Vol. 918, pp. 1-133
Closed Access | Times Cited: 153
Optical imaging and spectroscopy for the study of the human brain: status report
Hasan Ayaz, Wesley B. Baker, Giles Blaney, et al.
Neurophotonics (2022) Vol. 9, Iss. S2
Open Access | Times Cited: 118
A Survey on Measuring Cognitive Workload in Human-Computer Interaction
Thomas Kosch, Jakob Karolus, Johannes Zagermann, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-39
Open Access | Times Cited: 89
Transfer learning for motor imagery based brain–computer interfaces: A tutorial
Dongrui Wu, Xue Jiang, Ruimin Peng
Neural Networks (2022) Vol. 153, pp. 235-253
Open Access | Times Cited: 72
Translational opportunities and challenges of invasive electrodes for neural interfaces
Konlin Shen, Oliver Chen, Jordan Edmunds, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 4, pp. 424-442
Closed Access | Times Cited: 57
Real-Time State Estimation in a Flight Simulator Using fNIRS
Thibault Gateau, Gautier Durantin, François Lancelot, et al.
PLoS ONE (2015) Vol. 10, Iss. 3, pp. e0121279-e0121279
Open Access | Times Cited: 148
Neurotechnologies for Human Cognitive Augmentation: Current State of the Art and Future Prospects
Caterina Cinel, Davide Valeriani, Riccardo Poli
Frontiers in Human Neuroscience (2019) Vol. 13
Open Access | Times Cited: 142
Comparison of Brain Activation during Motor Imagery and Motor Movement Using fNIRS
Alyssa M. Batula, Jesse Mark, Youngmoo E. Kim, et al.
Computational Intelligence and Neuroscience (2017) Vol. 2017, pp. 1-12
Open Access | Times Cited: 134
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