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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:

Development of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning
Seung Mi Lee, Yonghyun Nam, E. Choi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 9

Showing 9 citing articles:

The role of cell-free DNA biomarkers and patient data in the early prediction of preeclampsia: an artificial intelligence model
Asma Khalil, Giovanni Bellesia, Mary E. Norton, et al.
American Journal of Obstetrics and Gynecology (2024) Vol. 231, Iss. 5, pp. 554.e1-554.e18
Closed Access | Times Cited: 9
The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare
Mohanad Alkhodari, Zhaohan Xiong, Ahsan H. Khandoker, et al.
Expert Review of Cardiovascular Therapy (2023) Vol. 21, Iss. 7, pp. 531-543
Closed Access | Times Cited: 13
Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa
Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn
Frontiers in Global Women s Health (2025) Vol. 6
Open Access
Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda
Muzungu Hirwa Sylvain, Emmanuel Christian Nyabyenda, Melissa Uwase, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Transforming Healthcare: The AI Revolution in the Comprehensive Care of Hypertension
Sreyoshi F. Alam, Maria Lourdes Gonzalez Suarez
Clinics and Practice (2024) Vol. 14, Iss. 4, pp. 1357-1374
Open Access | Times Cited: 2
Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training machine learning model for imbalanced dataset
Melih Ağraz, Yixiang Deng, George Em Karniadakis, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Long-term Prediction of Severe Hypoglycemia in Type 2 Diabetes Based on Multi-view Co-training
Melih Ağraz, Yixiang Deng, George Em Karniadakis, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Prediction of Pregnancy-Associated Hypertension Using a Scoring System: A Multicenter Cohort Study
Yun Sung Jo, Woo Jeng Kim, Sae Kyung Choi, et al.
Life (2023) Vol. 13, Iss. 6, pp. 1330-1330
Open Access
RISK FACTORS IN PREGNANT WOMEN BETWEEN 20 AND 30 YEARS-OLD.
Alejandro L. Villalobos-Rodríguez
American Journal of Medical and Clinical Research & Reviews (2023) Vol. 02, Iss. 08
Open Access
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