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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:

Use of Both Eyes-Open and Eyes-Closed Resting States May Yield a More Robust Predictor of Motor Imagery BCI Performance
Moonyoung Kwon, Hohyun Cho, Kyungho Won, et al.
Electronics (2020) Vol. 9, Iss. 4, pp. 690-690
Open Access | Times Cited: 19

Showing 19 citing articles:

Predicting Motor Imagery Performance From Resting-State EEG Using Dynamic Causal Modeling
Minji Lee, Jae-Geun Yoon, Seong-Whan Lee
Frontiers in Human Neuroscience (2020) Vol. 14
Open Access | Times Cited: 41
An Introductory Tutorial on Brain–Computer Interfaces and Their Applications
Andrea Bonci, Simone Fiori, Hiroshi Higashi, et al.
Electronics (2021) Vol. 10, Iss. 5, pp. 560-560
Open Access | Times Cited: 40
Analyzing and computing humans by means of the brain using Brain-Computer Interfaces - understanding the user – previous evidence, self-relevance and the user’s self-concept as potential superordinate human factors of relevance
Cornelia Herbert
Frontiers in Human Neuroscience (2024) Vol. 17
Open Access | Times Cited: 5
Permutation entropy analysis of EEG signals for distinguishing eyes-open and eyes-closed brain states: Comparison of different approaches
Juan Gancio, Cristina Masoller, Giulio Tirabassi
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 4
Open Access | Times Cited: 5
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
Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface
Qing Zhou, Ruidong Cheng, Lin Yao, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 7
Effects of Frontal Theta Rhythms in a Prior Resting State on the Subsequent Motor Imagery Brain-Computer Interface Performance
Jae-Hwan Kang, Joosang Youn, Sung-Hee Kim, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 9
The Human—Unmanned Aerial Vehicle System Based on SSVEP—Brain Computer Interface
Ming‐An Chung, Chia-Wei Lin, Chih-Tsung Chang
Electronics (2021) Vol. 10, Iss. 23, pp. 3025-3025
Open Access | Times Cited: 9
Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across Time and Subjects
Qing Zhou, Jiafan Lin, Lin Yao, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 6
Regression Networks for Neurophysiological Indicator Evaluation in Practicing Motor Imagery Tasks
L. F. Velasquez-Martinez, Julián Caicedo-Acosta, Carlos Medina, et al.
Brain Sciences (2020) Vol. 10, Iss. 10, pp. 707-707
Open Access | Times Cited: 5
Applications of Brain Computer Interface for Motor Imagery Using Deep Learning: Review on Recent Trends
Ahmed Zakaria Talha, Noureldin S. Eissa, Mohd Ibrahim Shapiai
Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) Vol. 40, Iss. 2, pp. 96-116
Open Access
Comparison Experiment of Artificial Intelligence Models Based on EEG Wave Continuity
Kim Youn-Sang, Han Ju-Hyuck, Lee Han-Jo, et al.
(2024), pp. 1-6
Closed Access
MEANSP: How Many Channels are Needed to Predict the Performance of a SMR-Based BCI?
Tania Jorajuría, Vadim V. Nikulin, Nikolai Kapralov, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4931-4941
Open Access | Times Cited: 1
Can Inter-Subject Associativity Predict Data-Driven BCI Performance?
Simanto Saha, Mathias Baumert, Alistair McEwan
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-4
Closed Access | Times Cited: 1
Pre-cue EEG Rhythms Associated with MI-BCI Performance Variation
Qing Zhou, Jiang Ying-yan, Jiafan Lin, et al.
(2020), pp. 41-45
Closed Access | Times Cited: 2
A New Method for Features Normalization in Motor Imagery Few-Shot Learning using Resting-State
Mahdieh Ghasemi, Sadjaad Ozgoli, Ali Motie Nasrabadi
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
Exploring connectivity of resting-state EEG between BCI-literate and -illiterate groups
Hanjin Park, Sung Chan Jun
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Human Perception Intelligent Analysis Based on EEG Signals
Bingrui Geng, Ke Liu, Yiping Duan
Electronics (2022) Vol. 11, Iss. 22, pp. 3774-3774
Open Access
Linear Classifier Approach to Detect Alpha Parietal Modulation for Brain Computer Interface
Wafaa Khazaal Shams, Uvais Qidwai
(2022)
Closed Access
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