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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:

Thinker invariance: enabling deep neural networks for BCI across more people
Demetres Kostas, Frank Rudzicz
Journal of Neural Engineering (2020) Vol. 17, Iss. 5, pp. 056008-056008
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data
Demetres Kostas, Stéphane Aroca-Ouellette, Frank Rudzicz
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 134
Transfer learning for motor imagery based brain–computer interfaces: A tutorial
Dongrui Wu, Xue Jiang, Ruimin Peng
Neural Networks (2022) Vol. 153, pp. 235-253
Open Access | Times Cited: 69
A reusable benchmark of brain-age prediction from M/EEG resting-state signals
Denis A. Engemann, Apolline Mellot, Richard Höchenberger, et al.
NeuroImage (2022) Vol. 262, pp. 119521-119521
Open Access | Times Cited: 51
EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning
Sergio Pérez-Velasco, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1766-1775
Open Access | Times Cited: 44
2020 International brain–computer interface competition: A review
Ji-Hoon Jeong, Jeong-Hyun Cho, Young-Eun Lee, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 28
Transfer Learning With Optimal Transportation and Frequency Mixup for EEG-Based Motor Imagery Recognition
Peiyin Chen, He Wang, Xinlin Sun, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2866-2875
Open Access | Times Cited: 23
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
Attention-guided universal adversarial perturbations for EEG-based brain-computer interfaces
Sheng-hua Zhong, Sijia Zhao, Zhijiao Xiao, et al.
Expert Systems with Applications (2025) Vol. 268, pp. 126362-126362
Closed Access
EEG-DGRN: dynamic graph representation network for subject-independent ERP detection
J. Zhu, Xuanyu Jin, Yuhang Ming, et al.
Brain-Apparatus Communication A Journal of Bacomics (2025) Vol. 4, Iss. 1
Open Access
Decision confidence estimation and electroencephalogram features analysis based on animal recognition task
Li Li, Yibi Jiang, Peng Zan, et al.
Review of Scientific Instruments (2025) Vol. 96, Iss. 2
Closed Access
Flexible Patched Brain Transformer model for EEG decoding
Timon Klein, Piotr Minakowski, Sebastian Säger
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Survey on Deep Learning-Based Short/Zero-Calibration Approaches for EEG-Based Brain–Computer Interfaces
Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 31
Beyond Supervised Learning for Pervasive Healthcare
Xiao Gu, Fani Deligianni, Jinpei Han, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 42-62
Open Access | Times Cited: 12
Domain Generalization for Session-Independent Brain-Computer Interface
Dong‐Kyun Han, Ji-Hoon Jeong
(2021), pp. 1-5
Open Access | Times Cited: 26
Eliminating or Shortening the Calibration for a P300 Brain–Computer Interface Based on a Convolutional Neural Network and Big Electroencephalography Data: An Online Study
Wei Gao, Weichen Huang, Man Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1754-1763
Open Access | Times Cited: 10
Hierarchical Transformer for Motor Imagery-Based Brain Computer Interface
Permana Deny, S.H.Cheon Cheon, Hayoung Son, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 11, pp. 5459-5470
Closed Access | Times Cited: 10
Speech2EEG: Leveraging Pretrained Speech Model for EEG Signal Recognition
Jinzhao Zhou, Yiqun Duan, Yingying Zou, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2140-2153
Open Access | Times Cited: 9
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain–Computer Interfaces
Sepehr Asgarian, Ze Wang, Feng Wan, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 3
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training
Georgios Zoumpourlis, Ioannis Patras
(2024), pp. 1-8
Open Access | Times Cited: 3
Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization
Lichao Xu, Minpeng Xu, Zhen Ma, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 4, pp. 0460e5-0460e5
Closed Access | Times Cited: 21
Adversarial attacks and defenses in physiological computing: a systematic review
Dongrui Wu, Jiaxin Xu, Weili Fang, et al.
National Science Open (2022) Vol. 2, Iss. 1, pp. 20220023-20220023
Open Access | Times Cited: 15
Active poisoning: efficient backdoor attacks on transfer learning-based brain-computer interfaces
Xue Jiang, Lubin Meng, Siyang Li, et al.
Science China Information Sciences (2023) Vol. 66, Iss. 8
Closed Access | Times Cited: 8
Cross-Session Motor Imagery EEG Classification using Self-Supervised Contrastive Learning
Taveena Lotey, Prateek Keserwani, Gaurav Wasnik, et al.
2022 26th International Conference on Pattern Recognition (ICPR) (2022), pp. 975-981
Closed Access | Times Cited: 13
Convolutional Neural Network with a Topographic Representation Module for EEG-Based Brain—Computer Interfaces
Xinbin Liang, Yaru Liu, Yang Yu, et al.
Brain Sciences (2023) Vol. 13, Iss. 2, pp. 268-268
Open Access | Times Cited: 7
Calibration-free online test-time adaptation for electroencephalography motor imagery decoding
Martin Wimpff, Mario Döbler, Bin Yang
(2024) Vol. 33, pp. 1-6
Open Access | Times Cited: 2
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