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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:

Quiet sleep detection in preterm infants using deep convolutional neural networks
Amir H. Ansari, Ofelie De Wel, Mario Lavanga, et al.
Journal of Neural Engineering (2018) Vol. 15, Iss. 6, pp. 066006-066006
Open Access | Times Cited: 58

Showing 1-25 of 58 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: 1208
EEG-based detection of the locus of auditory attention with convolutional neural networks
Servaas Vandecappelle, Lucas Deckers, Neetha Das, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 85
The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review
Elif Keleş, Ulaş Bağcı
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 23
A Graph-Temporal Fused Dual-Input Convolutional Neural Network for Detecting Sleep Stages from EEG Signals
Qing Cai, Zhongke Gao, Jianpeng An, et al.
IEEE Transactions on Circuits & Systems II Express Briefs (2020) Vol. 68, Iss. 2, pp. 777-781
Open Access | Times Cited: 58
A convolutional neural network-based decision support system for neonatal quiet sleep detection
Saadullah Farooq Abbasi, Qammer H. Abbasi, Faisal Saeed, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 9, pp. 17018-17036
Open Access | Times Cited: 18
MS-HNN: Multi-Scale Hierarchical Neural Network With Squeeze and Excitation Block for Neonatal Sleep Staging Using a Single-Channel EEG
Hangyu Zhu, Laishuan Wang, Ning Shen, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2195-2204
Open Access | Times Cited: 16
Single-Channel EEG Data Analysis Using a Multi-Branch CNN for Neonatal Sleep Staging
Hafza Ayesha Siddiqa, Zhenning Tang, Yan Xu, et al.
IEEE Access (2024) Vol. 12, pp. 29910-29925
Open Access | Times Cited: 7
A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infants
Amir H. Ansari, Ofelie De Wel, Kirubin Pillay, et al.
Journal of Neural Engineering (2019) Vol. 17, Iss. 1, pp. 016028-016028
Open Access | Times Cited: 50
A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video
Muhammad Awais, Xi Long, Bin Yin, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 5, pp. 1441-1449
Open Access | Times Cited: 40
EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification
Hafza Ayesha Siddiqa, Muhammad Farrukh Qureshi, A.A. Khurshid, et al.
Frontiers in Computational Neuroscience (2025) Vol. 19
Open Access
EEG-Based Neonatal Sleep Stage Classification Using Ensemble Learning
Saadullah Farooq Abbasi, Harun Jamil, Wei Chen
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 3, pp. 4619-4633
Open Access | Times Cited: 32
Precision Medicine in Neonates: A Tailored Approach to Neonatal Brain Injury
Maria Luisa Tataranno, Daniel C. Vijlbrief, Jeroen Dudink, et al.
Frontiers in Pediatrics (2021) Vol. 9
Open Access | Times Cited: 27
A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels
Amir H. Ansari, Kirubin Pillay, A Dereymaeker, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 3, pp. 1023-1033
Open Access | Times Cited: 26
The Sleep Well Baby project: an automated real-time sleep–wake state prediction algorithm in preterm infants
Thom Sentner, Xiaowan Wang, Eline R. de Groot, et al.
SLEEP (2022) Vol. 45, Iss. 10
Open Access | Times Cited: 16
Automatic neonatal sleep stage classification: A comparative study
Saadullah Farooq Abbasi, Awais Abbas, Iftikhar Ahmad, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e22195-e22195
Open Access | Times Cited: 9
EEG-based detection of the locus of auditory attention with convolutional neural networks
Servaas Vandecappelle, Lucas Deckers, Neetha Das, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 31
Deep learning approach for ECG-based automatic sleep state classification in preterm infants
Jan Werth, Mustafa Radha, Peter Andriessen, et al.
Biomedical Signal Processing and Control (2019) Vol. 56, pp. 101663-101663
Open Access | Times Cited: 28
Applying a data-driven approach to quantify EEG maturational deviations in preterms with normal and abnormal neurodevelopmental outcomes
Kirubin Pillay, A Dereymaeker, Katrien Jansen, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 26
Proposing a convolutional neural network for stress assessment by means of derived heart rate from functional near infrared spectroscopy
Naser Hakimi, Ata Jodeiri, Mahya Mirbagheri, et al.
Computers in Biology and Medicine (2020) Vol. 121, pp. 103810-103810
Closed Access | Times Cited: 25
Sleep State Trend (SST), a bedside measure of neonatal sleep state fluctuations based on single EEG channels
Saeed Montazeri Moghadam, Päivi Nevalainen, Nathan J. Stevenson, et al.
Clinical Neurophysiology (2022) Vol. 143, pp. 75-83
Open Access | Times Cited: 14
Pediatric Sleep Stage Classification Using Multi-Domain Hybrid Neural Networks
Yonghoon Jeon, Siwon Kim, Hyun-Soo Choi, et al.
IEEE Access (2019) Vol. 7, pp. 96495-96505
Open Access | Times Cited: 23
Neonatal sleep stage identification using long short-term memory learning system
Luay Fraiwan, Mohanad Alkhodari
Medical & Biological Engineering & Computing (2020) Vol. 58, Iss. 6, pp. 1383-1391
Closed Access | Times Cited: 23
Cumulative Diversity Pattern Entropy (CDEn): A High-Performance, Almost-Parameter-Free Complexity Estimator for Nonstationary Time Series
Yalin Wang, Minghui Liu, Yao Guo, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 9, pp. 9642-9653
Closed Access | Times Cited: 7
Audio- and video-based estimation of the sleep stages of newborns in Neonatal Intensive Care Unit
Sandie Cabon, Fabienne Porée, Antoine Simon, et al.
Biomedical Signal Processing and Control (2019) Vol. 52, pp. 362-370
Open Access | Times Cited: 21
A Multi-Scale Activity Transition Network for Data Translation in EEG Signals Decoding
Bo Lin, Shuiguang Deng, Honghao Gao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 18, Iss. 5, pp. 1699-1709
Closed Access | Times Cited: 19
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