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:

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 26-50 of 730 citing articles:

Neonatal Seizure Detection Using Deep Convolutional Neural Networks
Amir H. Ansari, Perumpillichira J. Cherian, Alexander Caicedo, et al.
International Journal of Neural Systems (2018) Vol. 29, Iss. 04, pp. 1850011-1850011
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

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

EEG-based user identification system using 1D-convolutional long short-term memory neural networks
Yingnan Sun, Frank P.-W. Lo, Benny Lo
Expert Systems with Applications (2019) Vol. 125, pp. 259-267
Closed Access | Times Cited: 161

Deep Learning in the Biomedical Applications: Recent and Future Status
Ryad Zemouri, Noureddine Zerhouni, Daniel Racoceanu
Applied Sciences (2019) Vol. 9, Iss. 8, pp. 1526-1526
Open Access | Times Cited: 161

Brain-Computer Interface: Advancement and Challenges
M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5746-5746
Open Access | Times Cited: 149

Review of Machine Learning Techniques for EEG Based Brain Computer Interface
Swati Aggarwal, Nupur Chugh
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 5, pp. 3001-3020
Closed Access | Times Cited: 148

Deep Multi-View Feature Learning for EEG-Based Epileptic Seizure Detection
Xiaobin Tian, Zhaohong Deng, Wenhao Ying, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 10, pp. 1962-1972
Open Access | Times Cited: 147

Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks
Ji-Seon Bang, Min-Ho Lee, Siamac Fazli, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 7, pp. 3038-3049
Closed Access | Times Cited: 130

A Multi-Branch Convolutional Neural Network with Squeeze-and-Excitation Attention Blocks for EEG-Based Motor Imagery Signals Classification
Ghadir Ali Altuwaijri, Ghulam Muhammad, Hamdi Altaheri, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 995-995
Open Access | Times Cited: 75

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: 48

Optimizing the P300-based brain–computer interface: current status, limitations and future directions
Joseph N. Mak, Yael Arbel, James W. Minett, et al.
Journal of Neural Engineering (2011) Vol. 8, Iss. 2, pp. 025003-025003
Closed Access | Times Cited: 188

Spelling with non-invasive Brain–Computer Interfaces – Current and future trends
Hubert Cecotti
Journal of Physiology-Paris (2011) Vol. 105, Iss. 1-3, pp. 106-114
Closed Access | Times Cited: 166

Convolutional Neural Network for Multi-Category Rapid Serial Visual Presentation BCI
Ran Manor, Amir B. Geva
Frontiers in Computational Neuroscience (2015) Vol. 9
Open Access | Times Cited: 134

Convolutional Neural Networks Using Dynamic Functional Connectivity for EEG-Based Person Identification in Diverse Human States
Min Wang, Heba El-Fiqi, Jiankun Hu, et al.
IEEE Transactions on Information Forensics and Security (2019) Vol. 14, Iss. 12, pp. 3259-3272
Closed Access | Times Cited: 130

Decorrelation of Neutral Vector Variables: Theory and Applications
Zhanyu Ma, Jing‐Hao Xue, Arne Leijon, et al.
IEEE Transactions on Neural Networks and Learning Systems (2016) Vol. 29, Iss. 1, pp. 129-143
Open Access | Times Cited: 126

Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network
Tian-jian Luo, Changle Zhou, Fei Chao
BMC Bioinformatics (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 126

Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture
Alison O’Shea, Gordon Lightbody, Geraldine B. Boylan, et al.
Neural Networks (2019) Vol. 123, pp. 12-25
Open Access | Times Cited: 121

Generative Adversarial Networks Conditioned by Brain Signals
Simone Palazzo, Concetto Spampinato, Isaak Kavasidis, et al.
(2017), pp. 3430-3438
Closed Access | Times Cited: 119

Bayesian Machine Learning: EEG\/MEG signal processing measurements
Wei Wu, Srikantan S. Nagarajan, Zhe Chen
IEEE Signal Processing Magazine (2015) Vol. 33, Iss. 1, pp. 14-36
Closed Access | Times Cited: 117

Single-Trial Classification of Event-Related Potentials in Rapid Serial Visual Presentation Tasks Using Supervised Spatial Filtering
Hubert Cecotti, Miguel P. Eckstein, Barry Giesbrecht
IEEE Transactions on Neural Networks and Learning Systems (2014) Vol. 25, Iss. 11, pp. 2030-2042
Open Access | Times Cited: 112

EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces
Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, Fernando Vaquerizo-Villar, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 12, pp. 2773-2782
Open Access | Times Cited: 109

EEG-based mild depression recognition using convolutional neural network
Xiaowei Li, Rong La, Ying Wang, et al.
Medical & Biological Engineering & Computing (2019) Vol. 57, Iss. 6, pp. 1341-1352
Closed Access | Times Cited: 107

Resting State EEG-based biometrics for individual identification using convolutional neural networks
Lan Ma, James W. Minett, Thierry Blu, et al.
(2015), pp. 2848-2851
Open Access | Times Cited: 103

A New Method for Automatic Sleep Stage Classification
Jun‐Ming Zhang, Yan Wu
IEEE Transactions on Biomedical Circuits and Systems (2017) Vol. 11, Iss. 5, pp. 1097-1110
Closed Access | Times Cited: 103

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