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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:

Deep Adversarial Domain Adaptation With Few-Shot Learning for Motor-Imagery Brain-Computer Interface
Chatrin Phunruangsakao, David Achanccaray, Mitsuhiro Hayashibe
IEEE Access (2022) Vol. 10, pp. 57255-57265
Open Access | Times Cited: 22

Showing 22 citing articles:

Improved Domain Adaptation Network Based on Wasserstein Distance for Motor Imagery EEG Classification
Qingshan She, Tie Chen, Feng Fang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1137-1148
Open Access | Times Cited: 47
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: 21
A composite improved attention convolutional network for motor imagery EEG classification
Wenzhe Liao, Z.Q. Miao, Shengbin Liang, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access
Bidirectional feature pyramid attention-based temporal convolutional network model for motor imagery electroencephalogram classification
Xinghe Xie, Liyan Chen, Shujia Qin, et al.
Frontiers in Neurorobotics (2024) Vol. 18
Open Access | Times Cited: 4
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 deep transfer learning network with two classifiers based on sample selection for motor imagery brain-computer interface
Minmin Zheng, Yi-Wen Lin
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105786-105786
Closed Access | Times Cited: 11
Tensor Factorization and Attention-Based CNN-LSTM Deep-Learning Architecture for Improved Classification of Missing Physiological Sensors Data
Muhammad Akmal
IEEE Sensors Journal (2022) Vol. 23, Iss. 2, pp. 1286-1294
Closed Access | Times Cited: 14
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
Motor Imagery Signal Classification Using Adversarial Learning: A Systematic Literature Review
Shubhra Mishra, Osama Mahmudi, Amin Jalali
IEEE Access (2024) Vol. 12, pp. 91053-91074
Open Access | Times Cited: 1
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
A prototypical network for few-shot recognition of speech imagery data
Jesús Alan Hernández-Galván, Graciela Ramírez-Alonso, Juan A. Ramírez-Quintana
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105154-105154
Closed Access | Times Cited: 3
Kernel-Based Regularized EEGNet Using Centered Alignment and Gaussian Connectivity for Motor Imagery Discrimination
Mateo Tobón-Henao, Andrés Marino Álvarez-Meza, G. Castellanos-Domínguez
Computers (2023) Vol. 12, Iss. 7, pp. 145-145
Open Access | Times Cited: 3
Kernel-based Regularized EEGNet using Centered Alignment and Gaussian Connectivity for Motor Imagery Discrimination
Mateo Tobón-Henao, Andrés Marino Álvarez-Meza, G. Castellanos-Domínguez
(2023)
Open Access | Times Cited: 2
Multibranch convolutional neural network with contrastive representation learning for decoding same limb motor imagery tasks
Chatrin Phunruangsakao, David Achanccaray, Shin‐Ichi Izumi, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 4
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
FewShotEEG Learning and Classification for Brain- Computer Interface
Subrato Bharati, M. Omair Ahmad, M. N. S. Swamy
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2024), pp. 1-5
Closed Access
EEG-Based Mental Imagery Task Adaptation via Ensemble of Weight-Decomposed Low-Rank Adapters
Taveena Lotey, Aman Verma, Partha Pratim Roy
Lecture notes in computer science (2024), pp. 309-324
Closed Access
A Systematic Review of Bimanual Motor Coordination in Brain-Computer Interface
Poraneepan Tantawanich, Chatrin Phunruangsakao, Shin‐Ichi Izumi, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 33, pp. 266-285
Open Access
A Relation Feature Comparison Network for Cross-Domain Recognition of Motion Intention
Jiacan Xu, Donglin Li, Peng Zhou, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access
E-SAT: An extreme learning machine based self attention approach for decoding motor imagery EEG in subject-specific tasks
Muhammad Ahmed Abbasi, Hafza Faiza Abbasi, Xiaojun Yu, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 5, pp. 056033-056033
Closed Access
Self-supervised Contrastive Few-Shot Learning for Motor Imagery Brain-Computer Interfaces
J. Y. Zhang, Guoqian Jiang, Jincheng Hu, et al.
(2023), pp. 114-119
Closed Access | Times Cited: 1
Deep Learning in Motor Imagery Eeg Signal Decoding: A Systematic Review
Aurora Saibene, Hafez Ghaemi, Eda Dağdevır
(2023)
Closed Access
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