Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 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: 33

Showing 1-25 of 33 citing articles:

Neural Correlate-Based E-Learning Validation and Classification Using Convolutional and Long Short-Term Memory Networks
Dharmendra Pathak, Ramgopal Kashyap
Traitement du signal (2023) Vol. 40, Iss. 4, pp. 1457-1467
Open Access | Times Cited: 91
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 multiple frequency bands parallel spatial–temporal 3D deep residual learning framework for EEG-based emotion recognition
Minmin Miao, Longxin Zheng, Baoguo Xu, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104141-104141
Closed Access | Times Cited: 35
Learning a robust unified domain adaptation framework for cross-subject EEG-based emotion recognition
Magdiel Jiménez-Guarneros, Gibrán Fuentes-Pineda
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105138-105138
Closed Access | Times Cited: 21
Calibration free meta learning based approach for subject independent EEG emotion recognition
Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103289-103289
Closed Access | Times Cited: 35
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
Data Constraints and Performance Optimization for Transformer-Based Models in EEG-Based Brain-Computer Interfaces: A Survey
Aigerim Keutayeva, Berdakh Abibullaev
IEEE Access (2024) Vol. 12, pp. 62628-62647
Open Access | Times Cited: 4
A novelty towards neural signatures − Unveiling the inter-subject distance metric for EEG-based motor imagery
Hajra Murtaza, Musharif Ahmed, Ghulam Murtaza, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107552-107552
Closed Access
Effect of natural and synthetic noise data augmentation on physical action classification by brain–computer interface and deep learning
Yuri Gordienko, Nikita Gordienko, Vlad Taran, et al.
Frontiers in Neuroinformatics (2025) Vol. 19
Open Access
Advances in brain computer interface for amyotrophic lateral sclerosis communication
Yuchun Wang, Yuee Tang, Qianfeng Wang, et al.
Brain‐X (2025) Vol. 3, Iss. 1
Open Access
Evaluating the Potential of Low-Cost BCI Devices for Online Classification of Four-Class Motor Imagery States
Suparach Intarasopa, Bawornsak Sakulkueakulsuk, Thitaporn Chaisilprungraung
Lecture notes in computer science (2025), pp. 414-425
Closed Access
A dual alignment-based multi-source domain adaptation framework for motor imagery EEG classification
Dongqin Xu, Mingai Li
Applied Intelligence (2022) Vol. 53, Iss. 9, pp. 10766-10788
Open Access | Times Cited: 17
Studies to Overcome Brain–Computer Interface Challenges
Woosung Choi, Hong Gi Yeom
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2598-2598
Open Access | Times Cited: 13
The use of the general thermal sensation discriminant model based on CNN for room temperature regulation by online brain-computer interface
Yangyi Guo, Xiaohe He, Hailong Li, et al.
Building and Environment (2023) Vol. 241, pp. 110494-110494
Closed Access | Times Cited: 7
A comprehensive dataset for home appliance control using ERP-based BCIs with the application of inter-subject transfer learning
Jong‐Min Lee, Minju Kim, Dojin Heo, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
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
Classification of the Central Effects of Transcutaneous Electroacupuncture Stimulation (TEAS) at Different Frequencies: A Deep Learning Approach Using Wavelet Packet Decomposition with an Entropy Estimator
Çağlar Uyulan, David Mayor, Tony Steffert, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2703-2703
Open Access | Times Cited: 6
META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain–computer interfaces
Ji-Wung Han, Soyeon Bak, Jun-Mo Kim, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121986-121986
Open Access | Times Cited: 6
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
Semi-supervised generative and discriminative adversarial learning for motor imagery-based brain–computer interface
Wonjun Ko, Eunjin Jeon, Jee Seok Yoon, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8
Evaluating E-learning Engagement Through EEG Signal Analysis with Convolutional Neural Networks
Dharmendra Pathak, Ramgopal Kashyap
Lecture notes in networks and systems (2024), pp. 225-239
Closed Access | Times Cited: 1
Harnessing Few-Shot Learning for EEG signal classification: a survey of state-of-the-art techniques and future directions
Chirag Ahuja, Divyashikha Sethia
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Brain-computer Interaction in the Smart Era
Zi-Neng Yan, Pengran Liu, Hong Zhou, et al.
Current Medical Science (2024)
Closed Access | Times Cited: 1
Artificial intelligence and machine learning in disorders of consciousness
Minji Lee, Steven Laureys
Current Opinion in Neurology (2024) Vol. 37, Iss. 6, pp. 614-620
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top