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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 Semi-Supervised Machine Learning Approach in Predicting High-Risk Pregnancies in the Philippines
Julio Jerison E. Macrohon, Charlyn Nayve Villavicencio, X. Alphonse Inbaraj, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2782-2782
Open Access | Times Cited: 12

Showing 12 citing articles:

Prediction Models for Intrauterine Growth Restriction Using Artificial Intelligence and Machine Learning: A Systematic Review and Meta-Analysis
Riccardo Rescinito, Matteo Ratti, Anil Babu Payedimarri, et al.
Healthcare (2023) Vol. 11, Iss. 11, pp. 1617-1617
Open Access | Times Cited: 11
Leveraging artificial intelligence for inclusive maternity care: Enhancing access for mothers with disabilities in Africa
Obasanjo Afolabi Bolarinwa, Aliu Mohammed, Victor Igharo, et al.
Women s Health (2025) Vol. 21
Open Access
Juno: A Complete Pregnancy Tracker for Advancing Maternal Healthcare and Risk Prediction
Yashvi Ghumre, Priyanka Lamkoti, Sharmila Mhatre, et al.
(2025), pp. 1077-1083
Closed Access
Forecasting Maternal Women's Health Risks using Random Forest Classifier
Dhruvi Thakkar, Vaibhav Gandhi, Dhriti Trivedi
2022 International Conference on Inventive Computation Technologies (ICICT) (2024), pp. 961-965
Closed Access | Times Cited: 3
Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey
Issac Neha Margret, K. Rajakumar, K. V. Arulalan, et al.
IEEE Access (2024) Vol. 12, pp. 68184-68207
Open Access | Times Cited: 2
Risk prediction model based on machine learning for predicting miscarriage among pregnant patients with immune abnormalities
Yue Wu, Xixuan Yu, Mengting Li, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 1
A Meta-Analysis of Machine Learning Models in Pregnancy Care and Applications
Issac Neha Margret, K. Rajakumar
(2024)
Closed Access | Times Cited: 1
A Machine Learning-Based Risk Prediction Model During Pregnancy in Low-Resource Settings
Kalyani Tomar, Chandra Mani Sharma, Tanisha Prasad, et al.
(2024), pp. 13-13
Open Access | Times Cited: 1
Different Machine Learning Prediction Models using Pregnancy Risk Prediction Systems
Pritika Goel, Sachin Ahuja
(2023), pp. 1-6
Closed Access | Times Cited: 1
Gebelikte Anne Sağlığı Risk Gruplarının Tahminine Yönelik Makine Öğrenmesi Tabanlı Bir Karar Destek Sistem Tasarımı
İrem Şenyer Yapıcı, Rukiye Uzun Arslan
Black Sea Journal of Engineering and Science (2024) Vol. 7, Iss. 3, pp. 509-520
Open 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
Prediction of Pregnancy Complications Using Machine Learning and Deep Learning Algorithms
Bharati Ainapure
Advances in computational intelligence and robotics book series (2023), pp. 230-246
Closed Access
Risk Level Prediction for Maternal Health Using Machine Learning Algorithms
Disha Bajaj, Ritika Kumari, Poonam Bansal
(2023), pp. 405-409
Closed Access
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