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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:

Computerized cardiotocography analysis during labor – A state‐of‐the‐art review
Imane Ben M’Barek, Grégoire Jauvion, Pierre‐François Ceccaldi
Acta Obstetricia Et Gynecologica Scandinavica (2022) Vol. 102, Iss. 2, pp. 130-137
Open Access | Times Cited: 17

Showing 17 citing articles:

Computerised Cardiotocography Analysis for the Automated Detection of Fetal Compromise during Labour: A Review
Lochana Mendis, Marimuthu Palaniswami, Fiona Brownfoot, et al.
Bioengineering (2023) Vol. 10, Iss. 9, pp. 1007-1007
Open Access | Times Cited: 18
Child and Maternal Mortality Risk Factor Analysis Using Machine Learning Approaches
Md. Alif Sheakh, Mst. Sazia Tahosin, Md Maruf Hasan, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 16
Intrapartum electronic fetal heart rate monitoring to predict acidemia at birth with the use of deep learning
Jennifer A. McCoy, Lisa D Levine, G. Wan, et al.
American Journal of Obstetrics and Gynecology (2024) Vol. 232, Iss. 1, pp. 116.e1-116.e9
Closed Access | Times Cited: 7
Integration of clinical features in a computerized cardiotocography system to predict severe newborn acidemia
Elena Menzhulina, Juliette Vitrou, Jade Merrer, et al.
European Journal of Obstetrics & Gynecology and Reproductive Biology (2025) Vol. 307, pp. 78-83
Open Access
Neonatal Asphyxia Prediction Using Features Extracted from Cardiotocography Data by Explainable Artificial Intelligence
H. Kinoshita, Hiroaki Fukunishi, Chihiro Shibata, et al.
Informatics in Medicine Unlocked (2025), pp. 101636-101636
Open Access
DeepCTG® 1.0: an interpretable model to detect fetal hypoxia from cardiotocography data during labor and delivery
Imane Ben M’Barek, Grégoire Jauvion, Juliette Vitrou, et al.
Frontiers in Pediatrics (2023) Vol. 11
Open Access | Times Cited: 11
Advancements in Fetal Heart Rate Monitoring: A Report on Opportunities and Strategic Initiatives for Better Intrapartum Care
Aimée A. K. Lovers, Martin Däumer, Martin G. Frasch, et al.
BJOG An International Journal of Obstetrics & Gynaecology (2025)
Open Access
Intermittent auscultation fetal monitoring practice in different UK birth settings: a cross-sectional survey
Megan Douthwaite, Alessandra Morelli, Sara Kenyon, et al.
BMC Pregnancy and Childbirth (2025) Vol. 25, Iss. 1
Open Access
Large-scale analysis of interobserver agreement and reliability in cardiotocography interpretation during labor using an online tool
Imane Ben M’Barek, B. Mbarek, Grégoire Jauvion, et al.
BMC Pregnancy and Childbirth (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Editorial: New technologies improve maternal and newborn safety
Jieyun Bai, Yaosheng Lu, Huishu Liu, et al.
Frontiers in Medical Technology (2024) Vol. 6
Open Access | Times Cited: 3
Assessment of fetal resistance to hypoxia using the Stange test as an adjunct to Apgar scale assessment of neonatal health status
Петр Д. Шабанов, Aleksandr Urakov, Natalya Urakova
Medical academic journal (2024) Vol. 23, Iss. 3, pp. 89-102
Closed Access | Times Cited: 1
Fetal Hypoxia Detection Using Machine Learning: A Narrative Review
Nawaf Alharbi, Mustafa Youldash, Duha Alotaibi, et al.
AI (2024) Vol. 5, Iss. 2, pp. 516-532
Open Access | Times Cited: 1
Midwives’ attitudes towards the use of cardiotocography in Greece
Roussou Panagiota, Tzela Panagiota, Kleanthi Gourounti
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 3, pp. 2563-2569
Open Access
Development, Validation, and Diagnostic Accuracy of the Fetal Lack of Responsiveness Scale for Diagnosis of Severe Perinatal Hypoxia
Luis Ayala, Sandra Buitrago, Isabel Arbelaez, et al.
Journal of Pregnancy (2024) Vol. 2024, Iss. 1
Open Access
DeepCTG® 2.0: Development and validation of a deep learning model to detect neonatal acidemia from cardiotocography during labor
Imane Ben M’Barek, Grégoire Jauvion, Jade Merrer, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109448-109448
Open Access
Conventional Cardiotocography
Aikaterini TSIPOURA, Paraskevi Giaxi, Antigoni Sarantaki, et al.
MAEDICA – a Journal of Clinical Medicine (2023) Vol. 18, Iss. 3
Open Access
Research on multimodal deep learning based on CNN and ViT for intrapartum fetal monitoring
Ling Xu, Guoqiang Wang, Zhen Cao, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 4459-4464
Closed Access
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