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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:

Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network
Kaishuo Zhang, Neethu Robinson, Seong‐Whan Lee, et al.
Neural Networks (2020) Vol. 136, pp. 1-10
Open Access | Times Cited: 209

Showing 1-25 of 209 citing articles:

Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review
Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14681-14722
Closed Access | Times Cited: 324
An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces
Arunabha M. Roy
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103496-103496
Open Access | Times Cited: 119
Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface
Arunabha M. Roy
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105347-105347
Closed Access | Times Cited: 118
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 69, Iss. 6, pp. 2105-2118
Open Access | Times Cited: 106
A fractional gradient descent algorithm robust to the initial weights of multilayer perceptron
Xuetao Xie, Yi‐Fei Pu, Jian Wang
Neural Networks (2022) Vol. 158, pp. 154-170
Closed Access | Times Cited: 74
A transformer-based deep neural network model for SSVEP classification
Jianbo Chen, Yangsong Zhang, Yudong Pan, et al.
Neural Networks (2023) Vol. 164, pp. 521-534
Open Access | Times Cited: 48
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface
F. Mattioli, Camillo Porcaro, Gianluca Baldassarre
Journal of Neural Engineering (2021) Vol. 18, Iss. 6, pp. 066053-066053
Open Access | Times Cited: 100
Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
Majdi Mansouri, Mohamed Trabelsi, Hazem Nounou, et al.
IEEE Access (2021) Vol. 9, pp. 126286-126306
Open Access | Times Cited: 90
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Shu Gong, Kaibo Xing, Andrzej Cichocki, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 2, pp. 348-365
Open Access | Times Cited: 73
Classification of motor imagery EEG using deep learning increases performance in inefficient BCI users
Navneet Tibrewal, Nikki Leeuwis, Maryam Alimardani
PLoS ONE (2022) Vol. 17, Iss. 7, pp. e0268880-e0268880
Open Access | Times Cited: 57
NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework
Jeong-Hyun Cho, Ji-Hoon Jeong, Seong‐Whan Lee
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 12, pp. 13279-13292
Closed Access | Times Cited: 56
FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding
Ke Liu, Mingzhao Yang, Zhuliang Yu, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 70, Iss. 2, pp. 436-445
Closed Access | Times Cited: 50
EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning
Sergio Pérez-Velasco, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1766-1775
Open Access | Times Cited: 45
EEG Dataset for RSVP and P300 Speller Brain-Computer Interfaces
Kyungho Won, Moonyoung Kwon, Minkyu Ahn, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 39
A large and rich EEG dataset for modeling human visual object recognition
Alessandro T. Gifford, Kshitij Dwivedi, Gemma Roig, et al.
NeuroImage (2022) Vol. 264, pp. 119754-119754
Open Access | Times Cited: 38
A shallow mirror transformer for subject-independent motor imagery BCI
Jing Luo, Yaojie Wang, Shuxiang Xia, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107254-107254
Closed Access | Times Cited: 37
IFNet: An Interactive Frequency Convolutional Neural Network for Enhancing Motor Imagery Decoding From EEG
Jiaheng Wang, Lin Yao, Yueming Wang
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1900-1911
Open Access | Times Cited: 36
A Temporal Dependency Learning CNN With Attention Mechanism for MI-EEG Decoding
Xinzhi Ma, Weihai Chen, Zhongcai Pei, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3188-3200
Open Access | Times Cited: 32
EEG-Channel-Temporal-Spectral-Attention Correlation for Motor Imagery EEG Classification
Wei‐Yen Hsu, Ya‐Wen Cheng
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1659-1669
Open Access | Times Cited: 30
Cross-dataset transfer learning for motor imagery signal classification via multi-task learning and pre-training
Yuting Xie, Kun Wang, Jiayuan Meng, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 5, pp. 056037-056037
Closed Access | Times Cited: 26
Global Adaptive Transformer for Cross-Subject Enhanced EEG Classification
Yonghao Song, Qingqing Zheng, Qiong Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2767-2777
Open Access | Times Cited: 24
Translation of neurotechnologies
Gerwin Schalk, Peter Brunner, Brendan Z. Allison, et al.
Nature Reviews Bioengineering (2024) Vol. 2, Iss. 8, pp. 637-652
Closed Access | Times Cited: 15
M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery Decoding
Yiyang Qin, Banghua Yang, Sixiong Ke, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 401-411
Open Access | Times Cited: 10
Subject-independent meta-learning framework towards optimal training of EEG-based classifiers
H.W. Ng, Cuntai Guan
Neural Networks (2024) Vol. 172, pp. 106108-106108
Closed Access | Times Cited: 9
Brain–Computer Interface-Controlled Exoskeletons in Clinical Neurorehabilitation: Ready or Not?
Annalisa Colucci, Mareike Vermehren, Alessia Cavallo, et al.
Neurorehabilitation and neural repair (2022) Vol. 36, Iss. 12, pp. 747-756
Open Access | Times Cited: 38
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