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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 cognitive brain–computer interface monitoring sustained attentional variations during a continuous task
Antoine Gaume, Gérard Dreyfus, François Vialatte
Cognitive Neurodynamics (2019) Vol. 13, Iss. 3, pp. 257-269
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

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: 174
Brain-Computer Interface: Advancement and Challenges
M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5746-5746
Open Access | Times Cited: 146
EEG-based measurement system for monitoring student engagement in learning 4.0
Andrea Apicella, Pasquale Arpaïa, Mirco Frosolone, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 100
Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
Lichao Xu, Minpeng Xu, Tzyy‐Ping Jung, et al.
Cognitive Neurodynamics (2021) Vol. 15, Iss. 4, pp. 569-584
Open Access | Times Cited: 65
LEDPatNet19: Automated Emotion Recognition Model based on Nonlinear LED Pattern Feature Extraction Function using EEG Signals
Türker Tuncer, Şengül Doğan, Abdülhamit Subaşı
Cognitive Neurodynamics (2021) Vol. 16, Iss. 4, pp. 779-790
Open Access | Times Cited: 57
Cognitive and Affective Brain–Computer Interfaces for Improving Learning Strategies and Enhancing Student Capabilities: A Systematic Literature Review
Nuraini Jamil, Abdelkader Nasreddine Belkacem, Sofía Ouhbi, et al.
IEEE Access (2021) Vol. 9, pp. 134122-134147
Open Access | Times Cited: 50
Real-time estimation of EEG-based engagement in different tasks
Angela Natalizio, Sebastian Sieghartsleitner, Leonhard Schreiner, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 1, pp. 016014-016014
Open Access | Times Cited: 5
Attention Detection Using EEG Signals and Machine Learning: A Review
Qianru Sun, Yueying Zhou, Peiliang Gong, et al.
Deleted Journal (2025)
Closed Access
Comparing a BCI Communication System in a Patient with Multiple System Atrophy, with an animal model
Brian Premchand, Kyaw Kyar Toe, Chuanchu Wang, et al.
Brain Research Bulletin (2025), pp. 111289-111289
Open Access
What Is Brain-Computer Interface (BCI)?
Ujwal Chaudhary
(2025), pp. 1-50
Closed Access
BCI for ADHD, ASD, and MCI
Ujwal Chaudhary
(2025), pp. 233-278
Closed Access
Novel hybrid brain–computer interface system based on motor imagery and P300
Cili Zuo, Jing Jin, Erwei Yin, et al.
Cognitive Neurodynamics (2019) Vol. 14, Iss. 2, pp. 253-265
Open Access | Times Cited: 41
Prediction of Reaction Time and Vigilance Variability From Spatio-Spectral Features of Resting-State EEG in a Long Sustained Attention Task
Mastaneh Torkamani-Azar, Sümeyra Demir Kanık, Serap Aydın, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 9, pp. 2550-2558
Open Access | Times Cited: 36
Frontal EEG-Based Multi-Level Attention States Recognition Using Dynamical Complexity and Extreme Gradient Boosting
Wang Wan, Xingran Cui, Zhilin Gao, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 27
Human–machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment
Jane Cleland‐Huang, T P Chambers, Sebastián Zudaire, et al.
ACM Transactions on Autonomous and Adaptive Systems (2023) Vol. 19, Iss. 1, pp. 1-35
Closed Access | Times Cited: 12
Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow
Anis Yazidi, Asieh Abolpour Mofrad, Morten Goodwin, et al.
Cognitive Neurodynamics (2020) Vol. 14, Iss. 5, pp. 675-687
Open Access | Times Cited: 30
EEG based cognitive task classification using multifractal detrended fluctuation analysis
G. Gaurav, R. S. Anand, Vinod Kumar
Cognitive Neurodynamics (2021) Vol. 15, Iss. 6, pp. 999-1013
Open Access | Times Cited: 25
Extending MAPE-K to support human-machine teaming
Jane Cleland‐Huang, A.K. Agrawal, Michael Vierhauser, et al.
(2022), pp. 120-131
Open Access | Times Cited: 17
Multi-channel EEG-based BCI using regression and classification methods for attention training by serious game
Denis Delisle-Rodríguez, Henrique Luiz de Oliveira, Jade Carvalho da Silva, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104937-104937
Closed Access | Times Cited: 10
BCI system with lower-limb robot improves rehabilitation in spinal cord injury patients through short-term training: a pilot study
Zhengzhe Cui, Yongqiang Li, Sisi Huang, et al.
Cognitive Neurodynamics (2022) Vol. 16, Iss. 6, pp. 1283-1301
Open Access | Times Cited: 14
Novel channel selection method based on position priori weighted permutation entropy and binary gravity search algorithm
Hao Sun, Jing Jin, Wanzeng Kong, et al.
Cognitive Neurodynamics (2020) Vol. 15, Iss. 1, pp. 141-156
Open Access | Times Cited: 22
Neural mechanism of visual information degradation from retina to V1 area
Haixin Zhong, Rubin Wang
Cognitive Neurodynamics (2020) Vol. 15, Iss. 2, pp. 299-313
Open Access | Times Cited: 20
Classification of visual cognitive workload using analytic wavelet transform
Shankar S. Gupta, Ramchandra Manthalkar
Biomedical Signal Processing and Control (2020) Vol. 61, pp. 101961-101961
Closed Access | Times Cited: 20
A brain–computer interface for the continuous, real-time monitoring of working memory load in real-world environments
Aldo Mora-Sánchez, Alfredo-Aram Pulini, Antoine Gaume, et al.
Cognitive Neurodynamics (2020) Vol. 14, Iss. 3, pp. 301-321
Open Access | Times Cited: 17
A new discovery on visual information dynamic changes from V1 to V2: corner encoding
Haixin Zhong, Rubin Wang
Nonlinear Dynamics (2021) Vol. 105, Iss. 4, pp. 3551-3570
Open Access | Times Cited: 12
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