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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:

Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study
Dylan Young, Bita Houshmand, Chunyi Tan, et al.
BMC Pregnancy and Childbirth (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 11

Showing 11 citing articles:

Variability in COVID-19 symptom presentation during pregnancy and its impact on maternal and infant outcomes across the pandemic
Julia Günther, Yvonne Ziert, Kristin Andresen, et al.
International Journal of Infectious Diseases (2024) Vol. 146, pp. 107157-107157
Closed Access | Times Cited: 7
Enhancing clinical decision support with explainable deep learning framework for C-section forecasting
Muhammad Mohsin Zafar, Nadeem Javaid, Ifra Shaheen, et al.
Computing (2024) Vol. 107, Iss. 1
Closed Access | Times Cited: 2
Safety and Efficacy of Antiviral Drugs and Vaccines in Pregnant Women: Insights from Physiologically Based Pharmacokinetic Modeling and Integration of Viral Infection Dynamics
Bárbara Costa, Maria João Gouveia, Nuno Vale
Vaccines (2024) Vol. 12, Iss. 7, pp. 782-782
Open Access | Times Cited: 1
Fatores socioeconômicos, demográficos e condições de saúde como preditores de óbitos por COVID-19 em gestantes adultas hospitalizadas no Brasil
Francilene Maria Azevedo
(2024)
Open Access
Early Predicting Congenital Fetus Malformations Based on Decision Trees Algorithm
Majida Albakoor, Khalid Saeed, Akram Masouh, et al.
Lecture notes in computer science (2024), pp. 215-228
Closed Access
COVID-19 in Pregnancy: Do Parturients Carry a High Risk of Adverse Maternal and Neonatal Outcomes?
Sunil Pandya
Indian Journal of Critical Care Medicine (2024) Vol. 28, Iss. 10, pp. 897-898
Open Access
Computational study with neural networks to double diffusion in Prandtl thermal nanofluid flow adjacent to a stretching surface design with numerical treatment
Noreen Sher Akbar, Tayyab Zamir, S. Bilal, et al.
Proceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems (2024)
Closed Access
Thermally simulated double diffusion flow for Prandtl nanofluid through Levenberg–Marquardt scheme with artificial neural networks with chemical reaction and heat transfer
Noreen Sher Akbar, Tayyab Zamir, A. Al‐Zubaidi, et al.
Journal of Thermal Analysis and Calorimetry (2024)
Closed Access
Characterization of COVID-19 infected pregnant women with ICU admission and the risk of preterm: a cluster analysis
Antonio Sarría‐Santamera, Nurly Kapashova, Radmir Sarsenov, et al.
Journal of Infection and Public Health (2024) Vol. 17, Iss. 12, pp. 102572-102572
Open Access
Commentary: Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2 by a machine learning approach
Noemi Salmeri, Massimo Candiani, Paolo Ivo Cavoretto
BMC Pregnancy and Childbirth (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 1
Newsletter 05/2023 des Forschungsnetzwerks der DGPM

Zeitschrift für Geburtshilfe und Neonatologie (2023) Vol. 227, Iss. 05, pp. 402-402
Closed Access
Page 1

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