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:

EEG-CDILNet: a lightweight and accurate CNN network using circular dilated convolution for motor imagery classification
Tie Liang, Xionghui Yu, Xiaoguang Liu, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 4, pp. 046031-046031
Closed Access | Times Cited: 7

Showing 7 citing articles:

ETCNet: An EEG-based motor imagery classification model combining efficient channel attention and temporal convolutional network
Yuxin Qin, Baojiang Li, Wenlong Wang, et al.
Brain Research (2023) Vol. 1823, pp. 148673-148673
Closed Access | Times Cited: 11

CLTNet: A Hybrid Deep Learning Model for Motor Imagery Classification
和憲 神谷, Ting-Wei Chen, Xiao Ma, et al.
Brain Sciences (2025) Vol. 15, Iss. 2, pp. 124-124
Open Access

Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition
Wenjie Li, Haoyu Li, Xinlin Sun, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 2, pp. 026038-026038
Open Access | Times Cited: 3

Self-supervised motor imagery EEG recognition model based on 1-D MTCNN-LSTM network
Hu Cunlin, Ye Ye, Nenggang Xie
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036014-036014
Open Access | Times Cited: 1

CS-Net: An End-to-end Network for Motor Imagery Brain-Machine Interface with Adaptive Channel Selection and Compressed Sensing
Jie Lu, Guanghan Yu, Liyu Qian, et al.
(2024), pp. 582-586
Closed Access | Times Cited: 1

Application of a time-distributed layer in the controller of memory-augmented neural networks to classify brain activities into motor imagery and motor execution
Morteza Karimian-Kelishadrokhi, Faramarz Safi-Esfahani
Applied Soft Computing (2024) Vol. 162, pp. 111771-111771
Closed Access

NeuroMotion: A lightweight and Portable Rehabilitation Training System for Motor Imagery
Jeroen De Man, Xuemei Fan, Shanli Long, et al.
(2024), pp. 383-386
Closed Access

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