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 Methodology for a Scalable, Collaborative, and Resource-Efficient Platform, MERLIN, to Facilitate Healthcare AI Research
Raphael Y. Cohen, Vesela Kovacheva
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 6, pp. 3014-3025
Open Access | Times Cited: 8

Showing 8 citing articles:

Preeclampsia Prediction Using Machine Learning and Polygenic Risk Scores From Clinical and Genetic Risk Factors in Early and Late Pregnancies
Vesela Kovacheva, Braden W Eberhard, Raphael Y. Cohen, et al.
Hypertension (2023) Vol. 81, Iss. 2, pp. 264-272
Open Access | Times Cited: 24

Crime Mapping and Hotspot Analysis
Harshita Chourasia, Sivaram Ponnusamy
Advances in computational intelligence and robotics book series (2024), pp. 36-50
Closed Access | Times Cited: 7

Involution-based efficient autoencoder for denoising histopathological images with enhanced hybrid feature extraction
Md. Farhadul Islam, Md Tanzim Reza, Meem Arafat Manab, et al.
Computers in Biology and Medicine (2025) Vol. 192, pp. 110174-110174
Closed Access

An Interpretable Longitudinal Preeclampsia Risk Prediction Using Machine Learning
Braden W Eberhard, Raphael Y. Cohen, John Rigoni, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6

Deep Survival Analysis for Interpretable Time-Varying Prediction of Preeclampsia Risk
Braden W Eberhard, Kathryn J. Gray, David W. Bates, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Deep survival analysis for interpretable Time-Varying prediction of preeclampsia risk
Braden W Eberhard, Kathryn J. Gray, David W. Bates, et al.
Journal of Biomedical Informatics (2024) Vol. 156, pp. 104688-104688
Open Access

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