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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:

Evidence of Variabilities in EEG Dynamics During Motor Imagery-Based Multiclass Brain–Computer Interface
Simanto Saha, Khawza I. Ahmed, Raqibul Mostafa, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2017) Vol. 26, Iss. 2, pp. 371-382
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review
Simanto Saha, Mathias Baumert
Frontiers in Computational Neuroscience (2020) Vol. 13
Open Access | Times Cited: 201
Weighted Transfer Learning for Improving Motor Imagery-Based Brain–Computer Interface
Ahmed M. Azab, Lyudmila Mihaylova, Kai Keng Ang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 7, pp. 1352-1359
Open Access | Times Cited: 145
A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface
Amardeep Singh, Ali Abdul Hussain, Sunil Pranit Lal, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2173-2173
Open Access | Times Cited: 119
A Temporal-Spectral-Based Squeeze-and- Excitation Feature Fusion Network for Motor Imagery EEG Decoding
Yang Li, Lianghui Guo, Yu Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1534-1545
Open Access | Times Cited: 109
Transfer learning for motor imagery based brain–computer interfaces: A tutorial
Dongrui Wu, Xue Jiang, Ruimin Peng
Neural Networks (2022) Vol. 153, pp. 235-253
Open Access | Times Cited: 71
Progress in Brain Computer Interface: Challenges and Opportunities
Simanto Saha, Khondaker A. Mamun, Khawza I. Ahmed, et al.
Frontiers in Systems Neuroscience (2021) Vol. 15
Open Access | Times Cited: 92
Single-Source to Single-Target Cross-Subject Motor Imagery Classification Based on Multisubdomain Adaptation Network
Yi Chen, Rui Yang, Mengjie Huang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1992-2002
Open Access | Times Cited: 38
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
Deep Learning Based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces
Sujit Roy, Anirban Chowdhury, Karl McCreadie, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 50
Discrepancy between inter- and intra-subject variability in EEG-based motor imagery brain-computer interface: Evidence from multiple perspectives
Gan Huang, Zhiheng Zhao, Shaorong Zhang, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 14
Spatial Variation Generation Algorithm for Motor Imagery Data Augmentation: Increasing the Density of Sample Vicinity
Chengxuan Qin, Rui Yang, Mengjie Huang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3675-3686
Open Access | Times Cited: 14
A deep domain adaptation framework with correlation alignment for EEG-based motor imagery classification
Xiao-Cong Zhong, Qisong Wang, Dan Liu, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107235-107235
Open Access | Times Cited: 13
Efficacy of kinesthetic motor imagery based brain computer interface combined with tDCS on upper limb function in subacute stroke
Ming Zhang, Yu Wu, Jia Fan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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
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
Subdomain Adversarial Network for Motor Imagery EEG Classification Using Graph Data
Xingchen Li, Xianlun Tang, Sichao Qiu, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 1, pp. 327-336
Closed Access | Times Cited: 9
Multi-Task Heterogeneous Ensemble Learning-Based Cross-Subject EEG Classification Under Stroke Patients
Minji Lee, Hyeong-Yeong Park, Wanjoo Park, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1767-1778
Open Access | Times Cited: 3
Jump motion intention recognition and brain activity analysis based on EEG signals and Vision Transformer model
Yanzheng Lu, Hong Wang, Jianye Niu, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107001-107001
Closed Access | Times Cited: 3
Feature Extraction of Brain–Computer Interface Electroencephalogram Based on Motor Imagery
Tianwei Shi, Ling Ren, Wenhua Cui
IEEE Sensors Journal (2019) Vol. 20, Iss. 20, pp. 11787-11794
Closed Access | Times Cited: 27
Channel Selection for Optimal EEG Measurement in Motor Imagery-Based Brain-Computer Interfaces
Pasquale Arpaïa, Francesco Donnarumma, Antonio Espósito, et al.
International Journal of Neural Systems (2020) Vol. 31, Iss. 03, pp. 2150003-2150003
Closed Access | Times Cited: 25
Motor Intention Decoding from the Upper Limb by Graph Convolutional Network Based on Functional Connectivity
Naishi Feng, Fo Hu, Hong Wang, et al.
International Journal of Neural Systems (2021) Vol. 31, Iss. 12
Closed Access | Times Cited: 23
Active poisoning: efficient backdoor attacks on transfer learning-based brain-computer interfaces
Xue Jiang, Lubin Meng, Siyang Li, et al.
Science China Information Sciences (2023) Vol. 66, Iss. 8
Closed Access | Times Cited: 8
An Automatic Channel Selection Approach for ICA-Based Motor Imagery Brain Computer Interface
Jing Ruan, Xiaopei Wu, Bangyan Zhou, et al.
Journal of Medical Systems (2018) Vol. 42, Iss. 12
Closed Access | Times Cited: 26
Cross-Subject Motor Imagery Decoding by Transfer Learning of Tactile ERD
Yucun Zhong, Lin Yao, Gang Pan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 662-671
Open Access | Times Cited: 2
Subject Separation Network for Reducing Calibration Time of MI-Based BCI
Haochen Hu, Kang Yue, Mei Guo, et al.
Brain Sciences (2023) Vol. 13, Iss. 2, pp. 221-221
Open Access | Times Cited: 6
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