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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:

Contribution of Artificial Intelligence in Pregnancy: A Scoping Review
Israa Abuelezz, Asma Hassan, Bassam Ali Jaber, et al.
Studies in health technology and informatics (2022)
Open Access | Times Cited: 17

Showing 17 citing articles:

Machine learning applied in maternal and fetal health: a narrative review focused on pregnancy diseases and complications
Daniela Mennickent, Andrés Rodrı́guez, María Cecilia Opazo, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 27
Insights of Parents and Parents‐To‐Be in Using Chatbots to Improve Their Preconception, Pregnancy, and Postpartum Health: A Mixed Studies Review
Joelle Yan Xin Chua, Mahesh Choolani, Cornelia Yin Ing Chee, et al.
Journal of Midwifery & Women s Health (2023) Vol. 68, Iss. 4, pp. 480-489
Closed Access | Times Cited: 18
Deep hybrid model for maternal health risk classification in pregnancy: synergy of ANN and random forest
Taofeeq Oluwatosin Togunwa, Abdulhammed Opeyemi Babatunde, Khalil-ur-Rahman Abdullah
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 17
A Novel Hybrid Particle Swarm Optimization with eXtreme Gradient Boosting Methodology in Predicting Preeclampsia
Muhammad Modi Lakulu, R. Topan Aditya Rahman, Esti Yuandari
Lecture notes in networks and systems (2025), pp. 455-463
Closed Access
The Artificial Intelligence-Enhanced Echocardiographic Detection of Congenital Heart Defects in the Fetus: A Mini-Review
Khadiza Tun Suha, Hugh Lubenow, Stefania Soria-Zurita, et al.
Medicina (2025) Vol. 61, Iss. 4, pp. 561-561
Open Access
The Potential of Artificial Intelligence in Unveiling Healthcare's Future
Mousumi Khanam, Sonam Akther, Iffath Mizan, et al.
Cureus (2024)
Open Access | Times Cited: 3
Innovative Models for Integrative Prenatal Care
Simona Raluca Iacoban, Madalina Piron-Dumitrascu, I Suciu, et al.
BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE (2024) Vol. 15, Iss. 1, pp. 14-33
Open Access | Times Cited: 2
Machine learning techniques for prediction in pregnancy complicated by autoimmune rheumatic diseases: Applications and challenges
Xiaoshi Zhou, Feifei Cai, Shiran Li, et al.
International Immunopharmacology (2024) Vol. 134, pp. 112238-112238
Open Access | Times Cited: 2
Artificial intelligence augmented clinical decision support systems for pregnancy care: a systematic review (Preprint)
xueying Lin, Chen Liang, Jihong Liu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e54737-e54737
Open Access | Times Cited: 2
Fetal health classification using LightGBM with Grid search based hyper parameter tuning
Vimala Nagabotu, Anupama Namburu
Recent Patents on Engineering (2023) Vol. 19, Iss. 1
Closed Access | Times Cited: 2
Unveiling the Efficacy of Unani Medicine in Female Disorders Through Machine Learning: Current Challenges and Opportunities
Arshiya Sultana, Faijan Akhtar, Md Belal Bin Heyat, et al.
2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (2023) Vol. 15, pp. 1-6
Closed Access | Times Cited: 2
Desarrollo y evaluación de métodos multivariados basados en datos gineco-obstétricos y espectrales de suero para la predicción de diabetes gestacional en el primer trimestre del embarazo.
Enrique Guzmán‐Gutiérrez, Juan Araya Quintana
(2023)
Open Access | Times Cited: 1
Wearable Sensors and AI Algorithms for Pregnant Women
A. Vinora, E. Lloyds, R. Nancy Deborah, et al.
Advances in computational intelligence and robotics book series (2023), pp. 124-140
Closed Access | Times Cited: 1
Impact of Artificial Intelligence in Managing Complications in Pregnancy and Childbirth
M. Parimala Devi, G. Boopathi Raja, T. Sathya, et al.
Advances in computational intelligence and robotics book series (2023), pp. 276-292
Closed Access
Prediction of Baby Movement During Pregnancy Using Back Propagation and ID3
Vinish Alikkal, S. Sujina
Advances in computational intelligence and robotics book series (2023), pp. 162-171
Closed Access
Artificial intelligence augmented clinical decision support systems for pregnancy care: a narrative review (Preprint)
Chen Liang
(2023)
Closed Access
Maternal Recommender System Systematic Literature Review: State of the Art and Future Studies
Rinto Priambodo, Putu Wuri Handayani, Rizal Fathoni Aji
Interdisciplinary Journal of Information Knowledge and Management (2023) Vol. 18, pp. 841-869
Open Access
How Artificial Intelligence Can Benefit Pregnant Women's Mental Health: Analysis of Emerging Artificial Intelligence to Pregnancy Prediction
Basira Sadat
International Journal of Science and Research (IJSR) (2023) Vol. 12, Iss. 1, pp. 685-688
Open Access
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