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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:

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

Showing 1-25 of 50 citing articles:

EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network
Saadullah Farooq Abbasi, Jawad Ahmad, Ahsen Tahir, et al.
IEEE Access (2020) Vol. 8, pp. 183025-183034
Open Access | Times Cited: 51
Early development of sleep and brain functional connectivity in term-born and preterm infants
Julie Uchitel, Sampsa Vanhatalo, Topun Austin
Pediatric Research (2021) Vol. 91, Iss. 4, pp. 771-786
Closed Access | Times Cited: 45
SleepSEEG: automatic sleep scoring using intracranial EEG recordings only
Nicolás von Ellenrieder, Laure Peter‐Derex, Jean Gotman, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 2, pp. 026057-026057
Open Access | Times Cited: 28
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
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
Grading hypoxic-ischemic encephalopathy in neonatal EEG with convolutional neural networks and quadratic time–frequency distributions
Sumit A. Raurale, Geraldine B. Boylan, Sean Mathieson, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 4, pp. 046007-046007
Open Access | Times Cited: 38
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
Neonatal EEG sleep stage classification based on deep learning and HMM
Hojat Ghimatgar, Kamran Kazemi, Mohammad Sadegh Helfroush, et al.
Journal of Neural Engineering (2020) Vol. 17, Iss. 3, pp. 036031-036031
Closed Access | Times Cited: 33
Transferring Structured Knowledge in Unsupervised Domain Adaptation of a Sleep Staging Network
Chaehwa Yoo, Hyang Woon Lee, Je‐Won Kang
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 3, pp. 1273-1284
Closed Access | Times Cited: 29
Early brain activity: Translations between bedside and laboratory
Heiko J. Luhmann, Patrick O. Kanold, Zoltán Molnár, et al.
Progress in Neurobiology (2022) Vol. 213, pp. 102268-102268
Open Access | Times Cited: 21
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
MRASleepNet: a multi-resolution attention network for sleep stage classification using single-channel EEG
Rui Yu, Zhuhuang Zhou, Shuicai Wu, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 6, pp. 066025-066025
Closed Access | Times Cited: 18
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
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: 25
Building an Open Source Classifier for the Neonatal EEG Background: A Systematic Feature-Based Approach From Expert Scoring to Clinical Visualization
Saeed Montazeri Moghadam, Elana Pinchefsky, Ilse Tse, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 20
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
A multi-task and multi-channel convolutional neural network for semi-supervised neonatal artefact detection
Tim Hermans, Laura Smets, Katrien Lemmens, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 2, pp. 026013-026013
Open Access | Times Cited: 7
Sleep as a driver of pre- and postnatal brain development
Eline R. de Groot, Jeroen Dudink, Topun Austin
Pediatric Research (2024)
Open Access | Times Cited: 2
Electroencephalography (EEG) Based Neonatal Sleep Staging and Detection Using Various Classification Algorithms
Hafza Ayesha Siddiqa, Muhammad Irfan, Saadullah Farooq Abbasi, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 2, pp. 1759-1778
Open Access | Times Cited: 6
Defect Prediction Technology in Software Engineering Based on Convolutional Neural Network
Can Liu, Sumaya Sanober, Abu Sarwar Zamani, et al.
Security and Communication Networks (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 10
Cumulative residual symbolic dispersion entropy and its multiscale version: Methodology, verification, and application
Yalin Wang, Yan Xu, M. Liu, et al.
Chaos Solitons & Fractals (2022) Vol. 160, pp. 112266-112266
Closed Access | Times Cited: 10
An Ensemble Voting Approach With Innovative Multi-Domain Feature Fusion for Neonatal Sleep Stratification
Muhammad Irfan, Hafza Ayesha Siddiqa, Abdelwahed Nahliis, et al.
IEEE Access (2023) Vol. 12, pp. 206-218
Open Access | Times Cited: 5
Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network
Sumit A. Raurale, Geraldine B. Boylan, Gordon Lightbody, et al.
(2020)
Open Access | Times Cited: 13
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