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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 deep neural network with subdomain adaptation for motor imagery brain-computer interface
Minmin Zheng, Banghua Yang
Medical Engineering & Physics (2021) Vol. 96, pp. 29-40
Closed Access | Times Cited: 16

Showing 16 citing articles:

Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network
Pengfei Liang, Zhuoze Yu, Bin Wang, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102075-102075
Closed Access | Times Cited: 72
Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds
Pengfei Liang, Bin Wang, Guoqian Jiang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105656-105656
Closed Access | Times Cited: 57
A cross-session motor imagery classification method based on Riemannian geometry and deep domain adaptation
Wenchao Liu, Changjiang Guo, Chang Gao
Expert Systems with Applications (2023) Vol. 237, pp. 121612-121612
Closed Access | Times Cited: 13
Deep learning in motor imagery EEG signal decoding: A Systematic Review
Aurora Saibene, Hafez Ghaemi, Eda Dağdevır
Neurocomputing (2024) Vol. 610, pp. 128577-128577
Closed Access | Times Cited: 4
A dual alignment-based multi-source domain adaptation framework for motor imagery EEG classification
Dongqin Xu, Mingai Li
Applied Intelligence (2022) Vol. 53, Iss. 9, pp. 10766-10788
Open Access | Times Cited: 17
A Robust 3D-Convolutional Neural Network-Based Electroencephalogram Decoding Model for the Intra-Individual Difference
Mengfan Li, Lingyu Wu, Guizhi Xu, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 07
Closed Access | Times Cited: 15
Unsupervised and semi-supervised domain adaptation networks considering both global knowledge and prototype-based local class information for Motor Imagery Classification
Dongxue Zhang, Huiying Li, Jingmeng Xie
Neural Networks (2024) Vol. 179, pp. 106497-106497
Closed Access | Times Cited: 2
Explainable cross-task adaptive transfer learning for motor imagery EEG classification
Minmin Miao, Yang Zhong, Hong Zeng, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 6, pp. 066021-066021
Closed Access | Times Cited: 6
A cross-session non-stationary attention-based motor imagery classification method with critic-free domain adaptation
Shuai Guo, Yi Wang, Xin Zhang, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107122-107122
Closed Access | Times Cited: 1
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
Design and Implementation of a Teaching System for Basic Sports Rehabilitation Courses Based on Android Platform
Xiaoyan Han, Chunyu Liu
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Analysis of Simple Algorithms for Motion Detection in Wearable Devices
Ana Paula Peñalosa Carretero, Álvaro Araújo
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 2410-2415
Closed Access | Times Cited: 1
A Deep Learning Method for Classification in Brain-Computer Interface
Sanoj Chakkithara Subramanian, D. Daniel
(2023), pp. 1-8
Closed Access
Deep Learning in Motor Imagery Eeg Signal Decoding: A Systematic Review
Aurora Saibene, Hafez Ghaemi, Eda Dağdevır
(2023)
Closed Access
Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI
Pasquale Arpaïa, Elisa Bertone, Antonio Espósito, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 1063-1068
Closed Access
Weighted asynchronous subdomain adaptation network for unsupervised fault diagnosis of bearing
Lin Bo, Kong Sun, Zhi Tang, et al.
Research Square (Research Square) (2022)
Open Access
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