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:

Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces
Hubert Cecotti, Anita Graser
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010) Vol. 33, Iss. 3, pp. 433-445
Open Access | Times Cited: 730

Showing 1-25 of 730 citing articles:

3D Convolutional Neural Networks for Human Action Recognition
Shuiwang Ji, Wei Xu, Ming Yang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2012) Vol. 35, Iss. 1, pp. 221-231
Closed Access | Times Cited: 5852
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
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 in bioinformatics
Seonwoo Min, Byunghan Lee, Sungroh Yoon
Briefings in Bioinformatics (2016), pp. bbw068-bbw068
Open Access | Times Cited: 1421
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
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
Siavash Sakhavi, Cuntai Guan, Shuicheng Yan
IEEE Transactions on Neural Networks and Learning Systems (2018) Vol. 29, Iss. 11, pp. 5619-5629
Open Access | Times Cited: 561
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
Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification
Chen Lü, Zhenya Wang, Bo Zhou
Advanced Engineering Informatics (2017) Vol. 32, pp. 139-151
Closed Access | Times Cited: 393
A convolutional neural network for sleep stage scoring from raw single-channel EEG
Arnaud Sors, Stéphane Bonnet, Sébastien Mirek, et al.
Biomedical Signal Processing and Control (2018) Vol. 42, pp. 107-114
Closed Access | Times Cited: 393
Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients
Bahareh Pourbabaee, Mehrsan Javan, K. Khorasani
IEEE Transactions on Systems Man and Cybernetics Systems (2017) Vol. 48, Iss. 12, pp. 2095-2104
Closed Access | Times Cited: 387
EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation
Zhongke Gao, Xinmin Wang, Yuxuan Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 30, Iss. 9, pp. 2755-2763
Closed Access | Times Cited: 383
EEG-Based Brain-Controlled Mobile Robots: A Survey
Luzheng Bi, Xin-an Fan, Yili Liu
IEEE Transactions on Human-Machine Systems (2013) Vol. 43, Iss. 2, pp. 161-176
Closed Access | Times Cited: 369
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition
Dalin Zhang, Lina Yao, Kaixuan Chen, et al.
IEEE Transactions on Cybernetics (2019) Vol. 50, Iss. 7, pp. 3033-3044
Closed Access | Times Cited: 312
Single-trial EEG classification of motor imagery using deep convolutional neural networks
Zhichuan Tang, Chao Li, Shouqian Sun
Optik (2016) Vol. 130, pp. 11-18
Closed Access | Times Cited: 286
A convolutional neural network for steady state visual evoked potential classification under ambulatory environment
No-Sang Kwak, Klaus‐Robert Müller, Seong‐Whan Lee
PLoS ONE (2017) Vol. 12, Iss. 2, pp. e0172578-e0172578
Open Access | Times Cited: 278
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
A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces
Heung‐Il Suk, Seong‐Whan Lee
IEEE Transactions on Pattern Analysis and Machine Intelligence (2012) Vol. 35, Iss. 2, pp. 286-299
Open Access | Times Cited: 238
Road Scene Segmentation from a Single Image
Jose M. Álvarez, Theo Gevers, Yann LeCun, et al.
Lecture notes in computer science (2012), pp. 376-389
Closed Access | Times Cited: 235
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
Deep Learning Human Mind for Automated Visual Classification
Concetto Spampinato, Simone Palazzo, Isaak Kavasidis, et al.
(2017), pp. 4503-4511
Open Access | Times Cited: 222
Deep learning based on Batch Normalization for P300 signal detection
Mingfei Liu, Wei Wu, Zhenghui Gu, et al.
Neurocomputing (2017) Vol. 275, pp. 288-297
Closed Access | Times Cited: 214
A review of state-of-the-art techniques for abnormal human activity recognition
Chhavi Dhiman, Dinesh Kumar Vishwakarma
Engineering Applications of Artificial Intelligence (2018) Vol. 77, pp. 21-45
Closed Access | Times Cited: 214
Deep Convolutional Neural Networks for mental load classification based on EEG data
Zhicheng Jiao, Xinbo Gao, Ying Wang, et al.
Pattern Recognition (2017) Vol. 76, pp. 582-595
Closed Access | Times Cited: 211
Page 1 - Next Page

Scroll to top