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:
Subject-Independent EEG Classification of Motor Imagery Based on Dual-Branch Feature Fusion
Yanqing Dong, Xin Wen, Fang Gao, et al.
Brain Sciences (2023) Vol. 13, Iss. 7, pp. 1109-1109
Open Access | Times Cited: 8
Yanqing Dong, Xin Wen, Fang Gao, et al.
Brain Sciences (2023) Vol. 13, Iss. 7, pp. 1109-1109
Open Access | Times Cited: 8
Showing 8 citing articles:
Temporal–spatial transformer based motor imagery classification for BCI using independent component analysis
Adel Hameed, Rahma Fourati, Boudour Ammar, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105359-105359
Closed Access | Times Cited: 22
Adel Hameed, Rahma Fourati, Boudour Ammar, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105359-105359
Closed Access | Times Cited: 22
Exploring the Potential of Attention Mechanism-Based Deep Learning for Robust Subject-Independent Motor-Imagery Based BCIs
Aigerim Keutayeva, Berdakh Abibullaev
IEEE Access (2023) Vol. 11, pp. 107562-107580
Open Access | Times Cited: 12
Aigerim Keutayeva, Berdakh Abibullaev
IEEE Access (2023) Vol. 11, pp. 107562-107580
Open Access | Times Cited: 12
Two-Phase Multitask Autoencoder-Based Deep Learning Framework for Subject-Independent EEG Motor Imagery Classification
ChangGyun Jin, Andrew H. Song, Seong‐Eun Kim
IEEE Access (2024) Vol. 12, pp. 77356-77367
Open Access | Times Cited: 3
ChangGyun Jin, Andrew H. Song, Seong‐Eun Kim
IEEE Access (2024) Vol. 12, pp. 77356-77367
Open Access | Times Cited: 3
An Analysis of Traditional Methods and Deep Learning Methods in SSVEP-Based BCI: A Survey
Jiaxuan Wu, Jingjing Wang
Electronics (2024) Vol. 13, Iss. 14, pp. 2767-2767
Open Access | Times Cited: 1
Jiaxuan Wu, Jingjing Wang
Electronics (2024) Vol. 13, Iss. 14, pp. 2767-2767
Open Access | Times Cited: 1
Compact convolutional transformer for subject-independent motor imagery EEG-based BCIs
Aigerim Keutayeva, Nail Fakhrutdinov, Berdakh Abibullaev
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Aigerim Keutayeva, Nail Fakhrutdinov, Berdakh Abibullaev
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Exploring Dependence of Subject-Specific Training Strategies for EEG Based Brain-Computer Interfaces
T. Warren de Wit, Vineetha Menon, Thomas P. Davis
SoutheastCon (2024), pp. 848-853
Closed Access
T. Warren de Wit, Vineetha Menon, Thomas P. Davis
SoutheastCon (2024), pp. 848-853
Closed Access
Temporal Focal Modulation Networks for EEG-Based Cross-Subject Motor Imagery Classification
Adel Hameed, Rahma Fourati, Boudour Ammar, et al.
Communications in computer and information science (2024), pp. 445-457
Closed Access
Adel Hameed, Rahma Fourati, Boudour Ammar, et al.
Communications in computer and information science (2024), pp. 445-457
Closed Access
Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis
Mirco Frosolone, Roberto Prevete, Lorenzo Ognibeni, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 6110-6110
Open Access
Mirco Frosolone, Roberto Prevete, Lorenzo Ognibeni, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 6110-6110
Open Access
