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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 channel-mixing convolutional neural network for motor imagery EEG decoding and feature visualization
Weifeng Ma, Yifei Gong, Gongxue Zhou, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 103021-103021
Closed Access | Times Cited: 20

Showing 20 citing articles:

A novel multi-branch hybrid neural network for motor imagery EEG signal classification
Weifeng Ma, Haojie Xue, Xiaoyong Sun, et al.
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103718-103718
Closed Access | Times Cited: 30
A brain topography graph embedded convolutional neural network for EEG-based motor imagery classification
Ji Shi, Jiaming Tang, Zhihuan Lu, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106401-106401
Closed Access | Times Cited: 6
Deep Comparisons of Neural Networks from the EEGNet Family
Csaba Márton Köllőd, András Adolf, Kristóf Iván, et al.
Electronics (2023) Vol. 12, Iss. 12, pp. 2743-2743
Open Access | Times Cited: 11
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
CCLNet: multiclass motor imagery EEG decoding through extended common spatial patterns and CNN-LSTM hybrid network
Kamal Jeet Singh, Nitin Singha, Swati Bhalaik
The Journal of Supercomputing (2025) Vol. 81, Iss. 7
Closed Access
A lightweight and accurate double-branch neural network for four-class motor imagery classification
Weifeng Ma, Yifei Gong, Haojie Xue, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103582-103582
Closed Access | Times Cited: 18
MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding
Ke Liu, Tao Yang, Zhuliang Yu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 12, pp. 7126-7137
Closed Access | Times Cited: 3
Current Trends, Challenges, and Future Research Directions of Hybrid and Deep Learning Techniques for Motor Imagery Brain–Computer Interface
Emmanouil Lionakis, Konstantinos Κarampidis, Giorgos Papadourakis
Multimodal Technologies and Interaction (2023) Vol. 7, Iss. 10, pp. 95-95
Open Access | Times Cited: 8
SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals
Davide Borra, Francesco Paissan, Mirco Ravanelli
Computers in Biology and Medicine (2024) Vol. 182, pp. 109097-109097
Open Access | Times Cited: 2
Image-Based Learning Using Gradient Class Activation Maps for Enhanced Physiological Interpretability of Motor Imagery Skills
Diego Collazos-Huertas, Andrés Marino Álvarez-Meza, G. Castellanos-Domínguez
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1695-1695
Open Access | Times Cited: 8
MOTOR IMAGERY SIGNAL CLASSIFICATION FOR BRAIN–COMPUTER INTERFACE USING RideNN WITH HOLO-ENTROPY FEATURES
Megha M. Wankhade, S. S. Chorage
Biomedical Engineering Applications Basis and Communications (2024) Vol. 36, Iss. 04
Closed Access | Times Cited: 1
Constructing lightweight and efficient spiking neural networks for EEG-based motor imagery classification
Xiaojian Liao, Guang Li, You Wang, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107000-107000
Closed Access | Times Cited: 1
A personality-guided affective brain—computer interface for implementation of emotional intelligence in machines
Shaojie Li, Wei Li, Zejian Xing, et al.
Frontiers of Information Technology & Electronic Engineering (2022) Vol. 23, Iss. 8, pp. 1158-1173
Closed Access | Times Cited: 6
Group-Level Interpretation of Electroencephalography Signals Using Compact Convolutional Neural Networks
Hyosung Joo, Luong Do Anh Quan, Lê Thị Thu Trang, et al.
IEEE Access (2023) Vol. 11, pp. 114992-115001
Closed Access | Times Cited: 2
EEG Motor imagery classification based on a ConvLSTM Autoencoder framework augmented by attention BiLSTM
Sayeh Mirzaei, Parisa Ghasemi, Mohammadreza Bakhtyari
Multimedia Tools and Applications (2024)
Closed Access
A protocol for trustworthy EEG decoding with neural networks
Davide Borra, Elisa Magosso, Mirco Ravanelli
Neural Networks (2024) Vol. 182, pp. 106847-106847
Open Access
FDCN-C: A deep learning model based on frequency enhancement, deformable convolution network, and crop module for electroencephalography motor imagery classification
Hongjie Liang, Linglong Li, Guang‐Zhong Cao
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0309706-e0309706
Open Access
A Brain Topography Graph Embedded Convolutional Neural Network for EEG-Based Motor Imagery Classification
Ji Shi, Jiaming Tang, Zhihuan Lu, et al.
(2023)
Closed Access | Times Cited: 1
Considerate motion imagination classification method using deep learning
Zhaokun Yan, Xiangquan Yang, Yu Jin
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0276526-e0276526
Open Access | Times Cited: 2
An Empirical Comparison of Deep Learning Explainability Approaches for EEG using Simulated Ground Truth
Akshay Sujatha Ravindran, José L. Contreras-Vidal
Research Square (Research Square) (2023)
Open Access
Deep Learning in Motor Imagery Eeg Signal Decoding: A Systematic Review
Aurora Saibene, Hafez Ghaemi, Eda Dağdevır
(2023)
Closed Access
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