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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:

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

Showing 1-25 of 214 citing articles:

Deep learning for electroencephalogram (EEG) classification tasks: a review
Alexander Craik, Yongtian He, José L. Contreras-Vidal
Journal of Neural Engineering (2019) Vol. 16, Iss. 3, pp. 031001-031001
Open Access | Times Cited: 1218
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
Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines
Jinrui Wang, Shunming Li, Zenghui An, et al.
Neurocomputing (2018) Vol. 329, pp. 53-65
Closed Access | Times Cited: 228
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
Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning
Haixiang Zang, Lilin Cheng, Tao Ding, et al.
International Journal of Electrical Power & Energy Systems (2019) Vol. 118, pp. 105790-105790
Closed Access | Times Cited: 224
Wavelet Transform Time-Frequency Image and Convolutional Network-Based Motor Imagery EEG Classification
Baoguo Xu, Zhang Li, Aiguo Song, et al.
IEEE Access (2018) Vol. 7, pp. 6084-6093
Open Access | Times Cited: 184
Generative Adversarial Networks-Based Data Augmentation for Brain–Computer Interface
Fatemeh Fahimi, Strahinja Došen, Kai Keng Ang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 9, pp. 4039-4051
Open Access | Times Cited: 164
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
Lost data reconstruction for structural health monitoring using deep convolutional generative adversarial networks
Xiaoming Lei, Limin Sun, Ye Xia
Structural Health Monitoring (2020) Vol. 20, Iss. 4, pp. 2069-2087
Closed Access | Times Cited: 144
Neural Decoding of EEG Signals with Machine Learning: A Systematic Review
Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, et al.
Brain Sciences (2021) Vol. 11, Iss. 11, pp. 1525-1525
Open Access | Times Cited: 132
Exploring Convolutional Neural Network Architectures for EEG Feature Extraction
Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 877-877
Open Access | Times Cited: 25
Fault classification in power system distribution network integrated with distributed generators using CNN
Praveen Rai, Narendra D. Londhe, Ritesh Raj
Electric Power Systems Research (2020) Vol. 192, pp. 106914-106914
Closed 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
Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination
Davide Borra, Silvia Fantozzi, Elisa Magosso
Neural Networks (2020) Vol. 129, pp. 55-74
Closed Access | Times Cited: 101
SR2CNN: Zero-Shot Learning for Signal Recognition
Yihong Dong, Xiaohan Jiang, Huaji Zhou, et al.
IEEE Transactions on Signal Processing (2021) Vol. 69, pp. 2316-2329
Open Access | Times Cited: 91
A Novel Simplified Convolutional Neural Network Classification Algorithm of Motor Imagery EEG Signals Based on Deep Learning
Li Feng, Fan He, Fei Wang, et al.
Applied Sciences (2020) Vol. 10, Iss. 5, pp. 1605-1605
Open Access | Times Cited: 89
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Shu Gong, Kaibo Xing, Andrzej Cichocki, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 2, pp. 348-365
Open Access | Times Cited: 73
Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
Lichao Xu, Minpeng Xu, Tzyy‐Ping Jung, et al.
Cognitive Neurodynamics (2021) Vol. 15, Iss. 4, pp. 569-584
Open Access | Times Cited: 65
A multi-scale convolutional neural network based fault diagnosis model for complex chemical processes
Qiusheng Song, Peng Jiang
Process Safety and Environmental Protection (2021) Vol. 159, pp. 575-584
Closed Access | Times Cited: 57
Wearable EEG electronics for a Brain–AI Closed-Loop System to enhance autonomous machine decision-making
Joo Hwan Shin, Junmo Kwon, Jong Uk Kim, et al.
npj Flexible Electronics (2022) Vol. 6, Iss. 1
Open Access | Times Cited: 57
ST-CapsNet: Linking Spatial and Temporal Attention With Capsule Network for P300 Detection Improvement
Zehui Wang, Chuangquan Chen, Junhua Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 991-1000
Open Access | Times Cited: 31
A spatiotemporal deep learning method for excavation-induced wall deflections
Yuanqin Tao, Shaoxiang Zeng, Honglei Sun, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 8, pp. 3327-3338
Open Access | Times Cited: 14
Multiclass classification of motor imagery tasks based on multi-branch convolutional neural network and temporal convolutional network model
Shiqi Yu, Zedong Wang, Fei Wang, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 9
Convolutional neural networks for decoding of covert attention focus and saliency maps for EEG feature visualization
Amr Farahat, Christoph Reichert, Catherine M. Sweeney‐Reed, et al.
Journal of Neural Engineering (2019) Vol. 16, Iss. 6, pp. 066010-066010
Open Access | Times Cited: 71
Deep Fusion Feature Learning Network for MI-EEG Classification
Jun Yang, Shaowen Yao, Jin Wang
IEEE Access (2018) Vol. 6, pp. 79050-79059
Open Access | Times Cited: 70
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