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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:

Detecting bursts in the EEG of very and extremely premature infants using a multi-feature approach
John M. O’Toole, Geraldine B. Boylan, Rhodri O. Lloyd, et al.
Medical Engineering & Physics (2017) Vol. 45, pp. 42-50
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Time-Varying EEG Correlations Improve Automated Neonatal Seizure Detection
Karoliina Tapani, Sampsa Vanhatalo, Nathan J. Stevenson
International Journal of Neural Systems (2018) Vol. 29, Iss. 04, pp. 1850030-1850030
Open Access | Times Cited: 80
Back to basics: the neuronal substrates and mechanisms that underlie the electroencephalogram in premature neonates
Fabrice Wallois, Laura Routier, C. Héberlé, et al.
Neurophysiologie Clinique (2020) Vol. 51, Iss. 1, pp. 5-33
Open Access | Times Cited: 55
Machine learning for the early prediction of infants with electrographic seizures in neonatal hypoxic‐ischemic encephalopathy
Andreea Pavel, John M. O’Toole, Jacopo Proietti, et al.
Epilepsia (2022) Vol. 64, Iss. 2, pp. 456-468
Open Access | Times Cited: 30
Deep Learning for EEG Seizure Detection in Preterm Infants
Alison O’Shea, Rehan Ahmed, Gordon Lightbody, et al.
International Journal of Neural Systems (2020) Vol. 31, Iss. 08, pp. 2150008-2150008
Open Access | Times Cited: 46
Clamping the Umbilical Cord in Premature Deliveries (CUPiD): Neuromonitoring in the Immediate Newborn Period in a Randomized, Controlled Trial of Preterm Infants Born at <32 Weeks of Gestation
Daragh Finn, Deirdre Hayes Ryan, Andreea Pavel, et al.
The Journal of Pediatrics (2019) Vol. 208, pp. 121-126.e2
Closed Access | Times Cited: 37
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
Optimal channel and feature selection for automatic prediction of functional brain age of preterm infant based on EEG
Ling Li, Jiahui Li, Hui Wu, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access
Temporal evolution of quantitative EEG within 3 days of birth in early preterm infants
John M. O’Toole, Elena Pavlidis, Irina Korotchikova, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 29
Detection of Myocardial Infarction using Pulse Plethysmograph Signals
Muhammad Umar Khan, Sumair Aziz, Asra Malik, et al.
(2019), pp. 95-955
Closed Access | Times Cited: 28
Quantitative Preterm EEG Analysis: The Need for Caution in Using Modern Data Science Techniques
John M. O’Toole, Geraldine B. Boylan
Frontiers in Pediatrics (2019) Vol. 7
Open Access | Times Cited: 26
Multiparametric EEG analysis of brain network dynamics during neonatal seizures
Lorenzo Frassineti, Angela Parente, Claudia Manfredi
Journal of Neuroscience Methods (2020) Vol. 348, pp. 109003-109003
Closed Access | Times Cited: 20
Electroencephalographic studies in growth-restricted and small-for-gestational-age neonates
Nathan J. Stevenson, Melissa Lai, Hava Starkman, et al.
Pediatric Research (2022) Vol. 92, Iss. 6, pp. 1527-1534
Open Access | Times Cited: 12
Latent Phase Detection of Hypoxic-Ischemic Spike Transients in the EEG of Preterm Fetal Sheep Using Reverse Biorthogonal Wavelets & Fuzzy Classifier
Hamid Abbasi, Laura Bennet, Alistair J. Gunn, et al.
International Journal of Neural Systems (2019) Vol. 29, Iss. 10, pp. 1950013-1950013
Closed Access | Times Cited: 16
A standardised assessment scheme for conventional EEG in preterm infants
Elena Pavlidis, Rhodri O. Lloyd, Vicki Livingstone, et al.
Clinical Neurophysiology (2019) Vol. 131, Iss. 1, pp. 199-204
Open Access | Times Cited: 15
NEURAL: quantitative features for newborn EEG in Matlab
John M. Toole
arXiv (Cornell University) (2017)
Closed Access | Times Cited: 14
Suitability of an inter-burst detection method for grading hypoxic-ischemic encephalopathy in newborn EEG
Sumit A. Raurale, Saif Nalband, Geraldine B. Boylan, et al.
(2019), pp. 4125-4128
Open Access | Times Cited: 13
Identifying tracé alternant activity in neonatal EEG using an inter-burst detection approach
Sumit A. Raurale, Geraldine B. Boylan, Gordon Lightbody, et al.
(2020), pp. 5984-5987
Open Access | Times Cited: 6
Early EEG-burst sharpness and 2-year disability in extremely preterm infants
Anne Mette Plomgaard, Nathan J. Stevenson, James A. Roberts, et al.
Pediatric Research (2023) Vol. 95, Iss. 1, pp. 193-199
Open Access | Times Cited: 2
Random Convolution Kernels with Multi-Scale Decomposition for Preterm EEG Inter-burst Detection
Christopher Lundy, John M. O’Toole
2021 29th European Signal Processing Conference (EUSIPCO) (2021), pp. 1182-1186
Open Access | Times Cited: 5
HRV-Based Regression Analysis in Newborns With Sepsis: Forecasting BAYLEY-III Scores at 6 and 12 Months
Lorenzo Frassineti, Giovanna Bertini, Federico Calà, et al.
IEEE Access (2024) Vol. 12, pp. 99058-99070
Open Access
Suitability of an inter-burst detection method for grading hypoxic-ischemic encephalopathy in newborn EEG
Sumit A. Raurale, Saif Nalband, Geraldine B. Boylan, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 3
Machine learning without a feature set for detecting bursts in the EEG of preterm infants
John M. Toole, Geraldine B. Boylan
(2019), pp. 5799-5802
Open Access | Times Cited: 3
Machine learning without a feature set for detecting bursts in the EEG of preterm infants
John M. O’Toole, Geraldine B. Boylan
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 2
Detection of Transient Bursts in the EEG of Preterm Infants using Time–Frequency Distributions and Machine Learning
Brian M. Murphy, Robert M. Goulding, John M. O’Toole
(2020), pp. 1023-1026
Closed Access | Times Cited: 2
Tracé alternant detector for grading hypoxic-ischemic encephalopathy in neonatal EEG
Sumit A. Raurale, Geraldine B. Boylan, Sean Mathieson, et al.
2021 29th European Signal Processing Conference (EUSIPCO) (2021), pp. 1177-1181
Open Access | Times Cited: 2
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