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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:

IENet: a robust convolutional neural network for EEG based brain-computer interfaces
Yipeng Du, Jian Liu
Journal of Neural Engineering (2022) Vol. 19, Iss. 3, pp. 036031-036031
Open Access | Times Cited: 20

Showing 20 citing articles:

A transformer-based deep neural network model for SSVEP classification
Jianbo Chen, Yangsong Zhang, Yudong Pan, et al.
Neural Networks (2023) Vol. 164, pp. 521-534
Open Access | Times Cited: 48
Status of deep learning for EEG-based brain–computer interface applications
Khondoker Murad Hossain, Md. Ariful Islam, Shahera Hossain, et al.
Frontiers in Computational Neuroscience (2023) Vol. 16
Open Access | Times Cited: 47
MOCNN: A Multiscale Deep Convolutional Neural Network for ERP-Based Brain-Computer Interfaces
Jing Jin, Ruitian Xu, Ian Daly, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 5565-5576
Open Access | Times Cited: 16
A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Methodology
A. S. Albahri, Z.T. Al-Qaysi, Laith Alzubaidi, et al.
International Journal of Telemedicine and Applications (2023) Vol. 2023, pp. 1-24
Open Access | Times Cited: 28
A Comprehensive Review on Brain–Computer Interface (BCI)-Based Machine and Deep Learning Algorithms for Stroke Rehabilitation
Walaa H. Elashmawi, A Aly Ayman, Mina Antoun, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6347-6347
Open Access | Times Cited: 8
Multiscale Convolutional Transformer for EEG Classification of Mental Imagery in Different Modalities
Hyung-Ju Ahn, Dae-Hyeok Lee, Ji-Hoon Jeong, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 646-656
Open Access | Times Cited: 31
User-friendly and industry-integrated AI for medicinal chemists and pharmaceuticals
Olga Kapustina, Polina Burmakina, Nina Gubina, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100072-100072
Open Access | Times Cited: 7
Explainable artificial intelligence approaches for brain–computer interfaces: a review and design space
Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena
Journal of Neural Engineering (2024) Vol. 21, Iss. 4, pp. 041003-041003
Open Access | Times Cited: 5
Application of deconvolutional networks for feature interpretability in epilepsy detection
Sihao Shao, Yu Zhou, Ruiheng Wu, et al.
Frontiers in Neuroscience (2025) Vol. 18
Open Access
S-LSTM-ATT: a hybrid deep learning approach with optimized features for emotion recognition in electroencephalogram
Abgeena Abgeena, Shruti Garg
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Closed Access | Times Cited: 11
Multi-Scale Pyramid Squeeze Attention Similarity Optimization Classification Neural Network for ERP Detection
Ruitian Xu, Brendan Z. Allison, Xueqing Zhao, et al.
Neural Networks (2025) Vol. 184, pp. 107124-107124
Closed Access
Multi-Scale Feature Extraction to Improve P300 Detection in Brain–Computer Interfaces
Muhammad Usman, Chun‐Ling Lin, Yao-Tien Chen
Electronics (2025) Vol. 14, Iss. 3, pp. 447-447
Open Access
A survey of deep learning-based classification methods for steady-state visual evoked potentials
Yudong Pan, Jianbo Chen, Yangsong Zhang
Brain-Apparatus Communication A Journal of Bacomics (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 10
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training
Georgios Zoumpourlis, Ioannis Patras
(2024), pp. 1-8
Open Access | Times Cited: 3
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
EEG-based emotion recognition using multi-scale dynamic CNN and gated transformer
Zhuoling Cheng, Xuekui Bu, Qingnan Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A Novel End-to-End Eeg Classification Method Based on 1d Cnn and the Improved Transformer Encoder
Zhuoling Cheng, Xuekui Bu, Qingnan Wang, et al.
(2024)
Closed Access
Hyperdimensional Computing with Multi-Scale Local Binary Patterns for Scalp EEG-Based Epileptic Seizure Detection
Yipeng Du, Yuan Ren, Ngai Wong, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 15, pp. 26046-26061
Closed Access
FetchEEG: a hybrid approach combining feature extraction and temporal-channel joint attention for EEG-based emotion classification
Yu Liang, Chenlong Zhang, Shan An, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036011-036011
Closed Access
A auto-segmented multi-time window dual-scale neural network for brain-computer interfaces based on event-related potentials
Xueqing Zhao, Ren Xu, Ruitian Xu, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 4, pp. 046008-046008
Closed Access
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