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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:

A systematic review on hybrid EEG/fNIRS in brain-computer interface
Ziming Liu, Jeremy Shore, Miao Wang, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102595-102595
Closed Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces
Arunabha M. Roy
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103496-103496
Open Access | Times Cited: 117
Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning
Asmaa Maher, Saeed Mian Qaisar, Nilima Salankar, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 2, pp. 463-475
Open Access | Times Cited: 26
Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction
Katerina Barnova, Martina Mikolasova, Radana Kahánková, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107135-107135
Open Access | Times Cited: 23
Early-stage fusion of EEG and fNIRS improves classification of motor imagery
Yang Li, Xin Zhang, Dong Ming
Frontiers in Neuroscience (2023) Vol. 16
Open Access | Times Cited: 22
NF-EEG: A generalized CNN model for multi class EEG motor imagery classification without signal preprocessing for brain computer interfaces
Emre Arı, Ertuğrul Taçgın
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106081-106081
Closed Access | Times Cited: 9
Multimodal neuroimaging with optically pumped magnetometers: A simultaneous MEG-EEG-fNIRS acquisition system
Xingyu Ru, Kaiyan He, Bingjiang Lyu, et al.
NeuroImage (2022) Vol. 259, pp. 119420-119420
Open Access | Times Cited: 33
Multimodal Multitask Neural Network for Motor Imagery Classification With EEG and fNIRS Signals
Qun He, Lufeng Feng, Guoqian Jiang, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 21, pp. 20695-20706
Closed Access | Times Cited: 33
From brain to movement: Wearables-based motion intention prediction across the human nervous system
Chenyu Tang, Zhenyu Xu, Edoardo Occhipinti, et al.
Nano Energy (2023) Vol. 115, pp. 108712-108712
Open Access | Times Cited: 20
fNIRS-EEG BCIs for Motor Rehabilitation: A Review
Jianan Chen, Yunjia Xia, Xinkai Zhou, et al.
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1393-1393
Open Access | Times Cited: 19
Machine learning in biosignals processing for mental health: A narrative review
Elena Sajno, Sabrina Bartolotta, Cosimo Tuena, et al.
Frontiers in Psychology (2023) Vol. 13
Open Access | Times Cited: 17
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
EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM
Nabeeha Ehsan Mughal, Muhammad Jawad Khan, Khurram Khalil, et al.
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 27
Parallel genetic algorithm based common spatial patterns selection on time–frequency decomposed EEG signals for motor imagery brain-computer interface
Tian-jian Luo
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104397-104397
Closed Access | Times Cited: 24
Rethinking Delayed Hemodynamic Responses for fNIRS Classification
Zenghui Wang, Jihong Fang, Jun Zhang
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4528-4538
Open Access | Times Cited: 15
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
A hybrid CNN model for classification of motor tasks obtained from hybrid BCI system
R. Shelishiyah, Deepa Beeta Thiyam, M. Jehosheba Margaret, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Accurate identification of anxiety and depression based on the dlPFC in an emotional autobiographical memory task: A machine learning approach
Guixiang Wang, Yusen Huang, Yan Zhang, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107503-107503
Closed Access
Introduction to brain–computer interface: research trends and applications
Saeed Mian Qaisar, Abdülhamit Subaşı
Elsevier eBooks (2025), pp. 1-20
Closed Access
Editorial: Multimodal approaches to investigating neural dynamics in cognition and related clinical conditions: integrating EEG, MEG, and fMRI data
Golnaz Baghdadi, Fatemeh Hadaeghi, Chella Kamarajan
Frontiers in Systems Neuroscience (2025) Vol. 19
Open Access
Decoding emotions through personalized multi-modal fNIRS-EEG Systems: Exploring deterministic fusion techniques
Alireza Farrokhi Nia, Vanessa Tang, Gonzalo D. Maso Talou, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107632-107632
Open Access
Fusion analysis of EEG-fNIRS multimodal brain signals: a multitask classification algorithm incorporating spatial-temporal convolution and dual attention mechanisms
Xingbin Shi, Haiyan Wang, Baojiang Li, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-12
Closed Access
Time-Normalization Approach for fNIRS Data During Tasks with High Variability in Duration
Anna Falivene, Charlotte Johnson, Katrijn Klingels, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1768-1768
Open Access
A review of hybrid EEG-based multimodal human–computer interfaces using deep learning: applications, advances, and challenges
Hyung-Tak Lee, Miseon Shim, Xianghong Liu, et al.
Biomedical Engineering Letters (2025)
Closed Access
Viewing neurovascular coupling through the lens of combined EEG–fNIRS: A systematic review of current methods
Michael K. Yeung, Vivian W. Chu
Psychophysiology (2022) Vol. 59, Iss. 6
Closed Access | Times Cited: 20
How much do time-domain functional near-infrared spectroscopy (fNIRS) moments improve estimation of brain activity over traditional fNIRS?
Antonio Ortega‐Martínez, De’Ja Rogers, Jessica Anderson, et al.
Neurophotonics (2022) Vol. 10, Iss. 01
Open Access | Times Cited: 18
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