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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:

Recognition of EEG Signal Motor Imagery Intention Based on Deep Multi-View Feature Learning
Jiacan Xu, Hao Zheng, Jianhui Wang, et al.
Sensors (2020) Vol. 20, Iss. 12, pp. 3496-3496
Open Access | Times Cited: 65

Showing 26-50 of 65 citing articles:

Motor Imagery EEG Signal Recognition Using Deep Convolution Neural Network
Xiongliang Xiao, Yuee Fang
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 19
EEGEncoder: Advancing BCI with Transformer-Based Motor Imagery Classification
Wangdan Liao, Hongyun Liu, Weidong Wang
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
A Multi-View SVM Approach for Seizure Detection from Single Channel EEG Signals
Gopal Chandra Jana, Mogullapally Sai Praneeth, Anupam Agrawal
IETE Journal of Research (2021) Vol. 69, Iss. 6, pp. 3120-3131
Closed Access | Times Cited: 16
A comprehensive review of the movement imaginary brain-computer interface methods: Challenges and future directions
Sadaf Khademi, Mehrnoosh Neghabi, Morteza Farahi, et al.
Elsevier eBooks (2022), pp. 23-74
Closed Access | Times Cited: 10
Imaginary Finger Movements Decoding Using Empirical Mode Decomposition and a Stacked BiLSTM Architecture
Tat’y Mwata-Velu, Juan Gabriel Avina–Cervantes, Jorge M. Cruz‐Duarte, et al.
Mathematics (2021) Vol. 9, Iss. 24, pp. 3297-3297
Open Access | Times Cited: 14
Attention-Based Multiscale Spatial-Temporal Convolutional Network for Motor Imagery EEG Decoding
Yu Zhang, Penghai Li, Longlong Cheng, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 2423-2434
Closed Access | Times Cited: 5
A Multifrequency Brain Network-Based Deep Learning Framework for Motor Imagery Decoding
Juntao Xue, Feiyue Ren, Xinlin Sun, et al.
Neural Plasticity (2020) Vol. 2020, pp. 1-11
Open Access | Times Cited: 14
A New Subject-Specific Discriminative and Multi-Scale Filter Bank Tangent Space Mapping Method for Recognition of Multiclass Motor Imagery
Fan Wu, Anmin Gong, Hongyun Li, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 12
Assessing robustness to adversarial attacks in attention-based networks: Case of EEG-based motor imagery classification
Nour El Houda Sayah Ben Aissa, Ahmed Korichi, Abderrahmane Lakas, et al.
SLAS TECHNOLOGY (2024) Vol. 29, Iss. 4, pp. 100142-100142
Open Access | Times Cited: 1
Dual-Branch Convolution Network With Efficient Channel Attention for EEG-Based Motor Imagery Classification
Kai Zhou, Aierken Haimudula, Wanying Tang
IEEE Access (2024) Vol. 12, pp. 74930-74943
Open Access | Times Cited: 1
Complexity measures reveal age-dependent changes in electroencephalogram during working memory task
Hamad Javaid, Muhammad Nouman, Dania Cheaha, et al.
Behavioural Brain Research (2024) Vol. 470, pp. 115070-115070
Closed Access | Times Cited: 1
A novel multi-scale fusion convolutional neural network for EEG-based motor imagery classification
Guangyu Yang, Jinguo Liu
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106645-106645
Closed Access | Times Cited: 1
fNIRSNET: A multi-view spatio-temporal convolutional neural network fusion for functional near-infrared spectroscopy-based auditory event classification
Prashant Pandey, John McLinden, N. Rahimi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109256-109256
Closed Access | Times Cited: 1
Tensor decomposition of EEG signals for transfer learning applications
Linda Karlsson, Emma Fallenius, Carolina Bergeling, et al.
Brain-Computer Interfaces (2024), pp. 1-15
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
Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires
Diego Collazos-Huertas, L. F. Velasquez-Martinez, Hernán Darío Pérez-Nastar, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5105-5105
Open Access | Times Cited: 6
EEG Signal Enhancement and Spectrum Estimation Using Fourier Transform Magnitude Response Derivative Functions
Devulapalli Shyam Prasad, Srinivasa Rao Chanamallu, K. Satya Prasad
Journal of Mobile Multimedia (2021)
Open Access | Times Cited: 6
Multi-view change detection method for mechanical assembly images based on feature fusion and feature refinement with depthwise separable convolution
Chengjun Chen, Yaoshuai Yue, Jinlei Wang
Multimedia Tools and Applications (2023) Vol. 83, Iss. 5, pp. 13995-14010
Closed Access | Times Cited: 2
A Complete Survey on Common Spatial Pattern Techniques in Motor Imagery BCI
Srinath Akuthota, K.Raj Kumar, Jagdish Chander
Journal of Scientific and Innovative Research (2023) Vol. 12, Iss. 3, pp. 40-49
Open Access | Times Cited: 2
DSA-MFNet: Deep-shallow Attention based Multi-frame Fusion Network for EEG motor imagery classification
Huifu Li, Xun Zhang, Yuchai Wan, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 16, pp. 2021-2026
Closed Access | Times Cited: 2
An Evaluation of Machine Learning Methods for Classifying EEG Signals Associated with Motor Imagery
Vaishali Shirodkar, Damodar Reddy Edla
(2023), pp. 1-6
Closed Access | Times Cited: 2
Brain Activity Reflects Subjective Response to Delayed Input When Using an Electromyography-Controlled Robot
Hyeonseok Kim, Yeong‐Dae Kim, Makoto Miyakoshi, et al.
Frontiers in Systems Neuroscience (2021) Vol. 15
Open Access | Times Cited: 5
Self-supervised deep learning and EEG categorization
Mats Svantesson
Linköping University medical dissertations (2024)
Open Access
Multi-Scale Convolutional Attention and Riemannian Geometry Network for EEG-Based Motor Imagery Classification
Ben Zhou, Lei Wang, Wenchang Xu, et al.
IEEE Access (2024) Vol. 12, pp. 79731-79740
Open Access
Character Recognition from EEG Signals - Survey
K. Divya, Sanjay Gireesan, K J Vani, et al.
(2024), pp. 190-195
Closed Access

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