Open Access Helper

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:

Clinical risk assessment in early pregnancy for preeclampsia in nulliparous women: A population based cohort study
Anna Sandström, Jonathan M. Snowden, Jonas Höijer, et al.
PLoS ONE (2019) Vol. 14, Iss. 11, pp. e0225716-e0225716
Open Access | Times Cited: 44

Showing 26-50 of 44 citing articles:

Fatores de risco e elementos primitivos no desenvolvimento de síndromes hipertensivas no pré-natal: revisão integrativa
João Cruz Neto, Paula Suene Pereira dos Santos, Joseph Dimas de Oliveira, et al.
Revista de Enfermagem da UFSM (2022) Vol. 12, pp. e18-e18
Open Access | Times Cited: 6
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
Predicting Preeclampsia Using Principal Component Analysis and Decision Tree Classifier
Farida Musa, Rajesh Prasad
Current Women s Health Reviews (2023) Vol. 20, Iss. 2
Closed Access | Times Cited: 2
Waist circumference measurement for prediction of preeclampsia: a population-based cohort study
Heidrun Pétursdóttir Maack, Inger Sundström Poromaa, Birgitta Segeblad, et al.
American Journal of Hypertension (2021) Vol. 35, Iss. 2, pp. 200-206
Open Access | Times Cited: 5
Association Between Alcohol use in Pregnancy and Preeclampsia or Hypertension in Pregnancy: A Systematic Review
Weiyan Gong, Na Zeng, Daniel J. Corsi, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 4
Preeclampsia prediction via machine learning: a systematic literature review
Mert Özcan, Serhat Peker
Health Systems (2024), pp. 1-15
Closed Access
Pre-pregnancy body mass index combined with peripheral blood PLGF, DCN, LDH, and UA in a risk prediction model for pre-eclampsia
Yanna Zhou, Chunhai Xiao, Yiting Yang
Frontiers in Endocrinology (2024) Vol. 14
Open Access
Clinical risk factors and protective factors of preeclampsia in China
Lei Hou, Jieyan Li, Rong Zhao, et al.
Research Square (Research Square) (2024)
Open Access
Early assessment of pregnancy using machine learning
Chander Prabha, Meenu Gupta
Elsevier eBooks (2024), pp. 79-89
Closed Access
Using machine learning to predict the risk of developing hypertensive disorders of pregnancy using a contemporary nulliparous cohort
Jonathan S. Schor, Adesh Kadambi, Isabel Fulcher, et al.
AJOG Global Reports (2024) Vol. 4, Iss. 4, pp. 100386-100386
Open Access
A Review on Machine Learning Deployment Patterns and Key Features in the Prediction of Preeclampsia
L. B. Pedersen, Magdalena Mazur-Milecka, Jacek Rumiński, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 4, pp. 2515-2569
Open Access
Data Analytics on Unpredictable Pregnancy Data Records Using Ensemble Neuro-Fuzzy Techniques
C. Vairavel, N. Nithya
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 2, pp. 2159-2175
Open Access | Times Cited: 1
Desarrollo y evaluación de métodos multivariados basados en datos gineco-obstétricos y espectrales de suero para la predicción de diabetes gestacional en el primer trimestre del embarazo.
Enrique Guzmán‐Gutiérrez, Juan Araya Quintana
(2023)
Open Access | Times Cited: 1
PELAKSANAAN SKRINING PREEKLAMSIA SELAMA KEHAMILAN : A SCOPING REVIEW
Ayu Kurniati, Dewi Rokhanawati
Jurnal Endurance (2022) Vol. 7, Iss. 2, pp. 416-425
Open Access | Times Cited: 2
Predictors of preeclampsia. Screening and prophylaxis in the I trimester of pregnancy
Р. И. Габидуллина, A.V. Ganeeva, T. N. SHIGABUTDINOVA
GYNECOLOGY (2021) Vol. 23, Iss. 5, pp. 428-434
Closed Access | Times Cited: 1
KADINLAR GEBELİKLERİNİ NASIL ÖĞRENİYOR? SAĞLIK ALGISI GEBELİK FARKINDALIĞINI ETKİLER Mİ?
Sena Dilek Aksoy, Resmiye Özdilek, Nafiye Dutucu
Acta Medica Nicomedia (2023) Vol. 6, Iss. 3, pp. 373-379
Open Access
Predicting the onset of preeclampsia by longitudinal monitoring of metabolic changes throughout pregnancy with Raman spectroscopy
Saman Ghazvini
(2023)
Open Access
‘Cross‐over’ risks of pregnancy: Are cardiovascular disease risk factors an underlying cause?
Allen J. Wilcox, Rolv Skjærven
Paediatric and Perinatal Epidemiology (2022) Vol. 36, Iss. 6, pp. 824-826
Closed Access
Routinely Collected Antenatal Data for Longitudinal Prediction of Preeclampsia in Nulliparous Women: A Population-based Study
Anna Sandström, Jonathan M. Snowden, Matteo Bottai, et al.
Research Square (Research Square) (2021)
Open Access
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