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 new risk score model to predict preeclampsia using maternal factors and mean arterial pressure in early pregnancy
Manaphat Suksai, Alan Geater, Phumarin Phumsiripaiboon, et al.
Journal of Obstetrics and Gynaecology (2021) Vol. 42, Iss. 3, pp. 437-442
Closed Access | Times Cited: 6

Showing 6 citing articles:

Machine Learning Algorithms Versus Classical Regression Models in Pre-Eclampsia Prediction: A Systematic Review
Sofonyas Abebaw Tiruneh, Tra Thuan Thanh Vu, Daniel L. Rolnik, et al.
Current Hypertension Reports (2024) Vol. 26, Iss. 7, pp. 309-323
Open Access | Times Cited: 4

Association of chronic kidney dysfunction and preeclampsia: insights of the Nationwide Inpatient Sample
Stefanie Marek‐Iannucci, Waqas Ullah, Patricia A. Uber, et al.
American Journal of Obstetrics & Gynecology MFM (2023) Vol. 5, Iss. 6, pp. 100928-100928
Closed Access | Times Cited: 3

Preeclampsia and timing of delivery: Disease severity, maternal and perinatal outcomes
Manaphat Suksai, Alan Geater, Pawinee Amornchat, et al.
Pregnancy Hypertension (2024) Vol. 37, pp. 101151-101151
Closed Access

First‐Trimester Prediction Models Based on Maternal Characteristics for Adverse Pregnancy Outcomes: A Systematic Review and Meta‐Analysis
Jacintha C. A. van Eekhout, Ellis C. Becking, P Scheffer, et al.
BJOG An International Journal of Obstetrics & Gynaecology (2024)
Open Access

Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
Magdalena Mazur-Milecka, Natalia Kowalczyk, Kinga Jaguszewska, et al.
Lecture notes in networks and systems (2023), pp. 267-281
Closed Access

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