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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:

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, et al.
Journal of Neural Engineering (2018) Vol. 15, Iss. 5, pp. 056013-056013
Open Access | Times Cited: 2849

Showing 1-25 of 2849 citing articles:

Deep learning with convolutional neural networks for EEG decoding and visualization
Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas D. J. Fiederer, et al.
Human Brain Mapping (2017) Vol. 38, Iss. 11, pp. 5391-5420
Open Access | Times Cited: 2469
A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
Fabien Lotte, Laurent Bougrain, Andrzej Cichocki, et al.
Journal of Neural Engineering (2018) Vol. 15, Iss. 3, pp. 031005-031005
Open Access | Times Cited: 1707
Deep learning for electroencephalogram (EEG) classification tasks: a review
Alexander Craik, Yongtian He, José L. Contreras-Vidal
Journal of Neural Engineering (2019) Vol. 16, Iss. 3, pp. 031001-031001
Open Access | Times Cited: 1218
Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy, Hubert Banville, Isabela Albuquerque, et al.
Journal of Neural Engineering (2019) Vol. 16, Iss. 5, pp. 051001-051001
Open Access | Times Cited: 1027
A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series
Stanislas Chambon, Mathieu Galtier, Pierrick J. Arnal, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 26, Iss. 4, pp. 758-769
Open Access | Times Cited: 520
Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion
Syed Umar Amin, Mansour Alsulaiman, Ghulam Muhammad, et al.
Future Generation Computer Systems (2019) Vol. 101, pp. 542-554
Closed Access | Times Cited: 425
SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture
Kevin Trebing, Tomasz Stańczyk, Siamak Mehrkanoon
Pattern Recognition Letters (2021) Vol. 145, pp. 178-186
Open Access | Times Cited: 342
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
Deep learning for motor imagery EEG-based classification: A review
Ali Al-Saegh, Shefa A. Dawwd, Jassim M. Abdul-Jabbar
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102172-102172
Closed Access | Times Cited: 311
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications
Xiaotong Gu, Zehong Cao, Alireza Jolfaei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 18, Iss. 5, pp. 1645-1666
Open Access | Times Cited: 273
HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification
Guanghai Dai, Jun Zhou, Jiahui Huang, et al.
Journal of Neural Engineering (2019) Vol. 17, Iss. 1, pp. 016025-016025
Closed Access | Times Cited: 266
Transfer Learning for EEG-Based Brain–Computer Interfaces: A Review of Progress Made Since 2016
Dongrui Wu, Yifan Xu, Bao‐Liang Lu
IEEE Transactions on Cognitive and Developmental Systems (2020) Vol. 14, Iss. 1, pp. 4-19
Open Access | Times Cited: 257
EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization
Yonghao Song, Qingqing Zheng, Bingchuan Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 710-719
Open Access | Times Cited: 244
Brain-Controlled Robotic Arm System Based on Multi-Directional CNN-BiLSTM Network Using EEG Signals
Ji-Hoon Jeong, Kyung-Hwan Shim, Dong‐Joo Kim, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 5, pp. 1226-1238
Closed Access | Times Cited: 242
EEG Based Emotion Recognition: A Tutorial and Review
Xiang Li, Yazhou Zhang, Prayag Tiwari, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 4, pp. 1-57
Open Access | Times Cited: 236
A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers
Xiang Zhang, Lina Yao, Xianzhi Wang, et al.
Journal of Neural Engineering (2020) Vol. 18, Iss. 3, pp. 031002-031002
Open Access | Times Cited: 228
EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network
Heng Cui, Aiping Liu, Xu Zhang, et al.
Knowledge-Based Systems (2020) Vol. 205, pp. 106243-106243
Closed Access | Times Cited: 210
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
Multilevel Weighted Feature Fusion Using Convolutional Neural Networks for EEG Motor Imagery Classification
Syed Umar Amin, Mansour Alsulaiman, Ghulam Muhammad, et al.
IEEE Access (2019) Vol. 7, pp. 18940-18950
Open Access | Times Cited: 186
Physics-Informed Attention Temporal Convolutional Network for EEG-Based Motor Imagery Classification
Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 2, pp. 2249-2258
Closed Access | Times Cited: 185
Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals
Zied Tayeb, Juri Fedjaev, Nejla Ghaboosi, et al.
Sensors (2019) Vol. 19, Iss. 1, pp. 210-210
Open Access | Times Cited: 182
EEG classification of driver mental states by deep learning
Hong Zeng, Yang Chen, Guojun Dai, et al.
Cognitive Neurodynamics (2018) Vol. 12, Iss. 6, pp. 597-606
Open Access | Times Cited: 178
A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis
Dalin Zhang, Lina Yao, Kaixuan Chen, et al.
IEEE Signal Processing Letters (2019) Vol. 26, Iss. 5, pp. 715-719
Closed Access | Times Cited: 174
Machine-learning-based diagnostics of EEG pathology
Lukas Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz, et al.
NeuroImage (2020) Vol. 220, pp. 117021-117021
Open Access | Times Cited: 174
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain–Machine Interfaces
Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2020)
Open Access | Times Cited: 172
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