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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:

Dense phenotyping from electronic health records enables machine learning-based prediction of preterm birth
Abin Abraham, Brian L. Le, Idit Kosti, et al.
BMC Medicine (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 23

Showing 23 citing articles:

Large language models improve the identification of emergency department visits for symptomatic kidney stones
Cosmin A. Bejan, Amy E. McCart Reed, Matthew Mikula, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Pre-conception clinical risk factors differ between spontaneous and indicated preterm birth in a densely phenotyped EHR cohort
J Costello, Hannah Takasuka, Jacquelyn Roger, et al.
BMC Pregnancy and Childbirth (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Predicting preterm birth using machine learning methods
Anna Kłoska, Alicja Harmoza, Sylwester M. Kloska, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries
Camilo Espinosa, Waqasuddin Khan, Rasheda Khanam, et al.
Science Advances (2023) Vol. 9, Iss. 21
Open Access | Times Cited: 18
Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities
Brynne A. Sullivan, Kristyn Beam, Zachary A. Vesoulis, et al.
Journal of Perinatology (2023) Vol. 44, Iss. 1, pp. 1-11
Open Access | Times Cited: 17
Deep phenotyping of Alzheimer’s disease leveraging electronic medical records identifies sex-specific clinical associations
Alice Tang, Tomiko Oskotsky, Shreyas Havaldar, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 26
Predicting preterm birth using auto-ML frameworks: a large observational study using electronic inpatient discharge data
Deming Kong, Tao Ye, Xiao Hai-yan, et al.
Frontiers in Pediatrics (2024) Vol. 12
Open Access | Times Cited: 4
Leveraging Temporal Learning with Dynamic Range (TLDR) for Enhanced Prediction of Outcomes in Recurrent Exposure and Treatment Settings in Electronic Health Records
Jingya Cheng, Jonas Hügel, Jiazi Tian, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Natural Language Processing Methods for Assessing Social Determinants of Health in the Electronic Health Records: A Narrative Review
Rawan Abulibdeh, Karen Tu, Ervin Sejdić
Expert Systems with Applications (2025), pp. 127928-127928
Open Access
PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks
Rawan AlSaad, Qutaibah Malluhi, Sabri Boughorbel
BioData Mining (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 15
Overcoming barriers and seizing opportunities in the innovative adoption of next-generation digital technologies
Jinglin Xiao, Zeshui Xu, Anran Xiao, et al.
Journal of Innovation & Knowledge (2024) Vol. 9, Iss. 4, pp. 100622-100622
Open Access | Times Cited: 2
Development and validation of a risk prediction model for preterm birth in women with gestational diabetes mellitus
Hanbing Li, Lingling Gao, Xiao Yang, et al.
Clinical Endocrinology (2024) Vol. 101, Iss. 3, pp. 206-215
Closed Access | Times Cited: 1
Data-driven insights can transform women’s reproductive health
Tomiko Oskotsky, Ophelia Yin, Umair Khan, et al.
npj Women s Health (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 1
Does Precision-Based Medicine Hold the Promise of a New Approach to Predicting and Treating Spontaneous Preterm Birth?
Hiba Khan, Natasha Singh, Luis Yovera, et al.
International Journal of Translational Medicine (2024) Vol. 4, Iss. 1, pp. 15-52
Open Access
Novel insights from our special issue on maternal factors during pregnancy that influence maternal, fetal and childhood outcomes
Stephen Tong, Katrien Benhalima, Louis J. Muglia, et al.
BMC Medicine (2024) Vol. 22, Iss. 1
Open Access
Computational Approaches for Predicting Preterm Birth and Newborn Outcomes
David Seong, Camilo Espinosa, Nima Aghaeepour
Clinics in Perinatology (2024) Vol. 51, Iss. 2, pp. 461-473
Closed Access
Sex-stratified analyses of comorbidities associated with an inpatient delirium diagnosis using real world data
Marina Sirota, Lay Kodama, Sarah Woldemariam, et al.
Research Square (Research Square) (2024)
Open Access
Machine Learning for Early Prediction of Preterm Birth
Firanol Teshome, Netsanet Workneh Gidi, Se‐woon Choe, et al.
(2024)
Closed Access
Predicting preterm birth using electronic medical records from multiple prenatal visits
Chenyan Huang, Xi Long, Myrthe van der Ven, et al.
BMC Pregnancy and Childbirth (2024) Vol. 24, Iss. 1
Open Access
Artificial intelligence in pediatrics
Lindsey A. Knake, Christian M. Rogerson, Meredith C. Winter, et al.
Elsevier eBooks (2023), pp. 285-295
Closed Access | Times Cited: 1
Sex-stratified phenotyping of comorbidities associated with an inpatient delirium diagnosis using real world data
Lay Kodama, Sarah Woldemariam, Alice Tang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Associations with spontaneous and indicated preterm birth in a densely phenotyped EHR cohort
J Costello, Hannah Takasuka, Jacquelyn Roger, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Computational Phenotyping of OMOP CDM Normalized EHR for Prenatal and Postpartum Episodes: An Informatics Framework and Clinical Implementation on All of Us.
Tianchu Lyu, Chen Liang
PubMed (2023) Vol. 2023, pp. 1096-1104
Closed Access
Vascular alterations impede fragile tolerance to pregnancy in type 1 diabetes
Kelsey L. McNew, Abin Abraham, Daniel Sack, et al.
F&S Science (2022) Vol. 3, Iss. 2, pp. 148-158
Open Access
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