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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:

The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression
Ruben van den Goorbergh, Maarten van Smeden, D. Timmerman, et al.
Journal of the American Medical Informatics Association (2022) Vol. 29, Iss. 9, pp. 1525-1534
Open Access | Times Cited: 165

Showing 26-50 of 165 citing articles:

Predicting incident cardio-metabolic disease among persons with and without depressive and anxiety disorders: a machine learning approach
Arja O. Rydin, George Aalbers, Wessel A. van Eeden, et al.
Social Psychiatry and Psychiatric Epidemiology (2025)
Open Access
Tailored Microprudential Recommendations for Bank Profit Retention Using a Risk Tolerance Framework
Petr Jakubík, Bogdan-Gabriel Moinescu
International Review of Economics & Finance (2025) Vol. 98, pp. 103951-103951
Open Access
Research on Strip Steel Process Optimization Based on Data-Driven Approach and Genetic Algorithm
Yiliang Huang, Yang Liu, Wenjian Wei
Highlights in Science Engineering and Technology (2025) Vol. 133, pp. 62-67
Closed Access
Exploring oral microbiome in oral squamous cell carcinoma across environment-associated sample types
Zizheng Wang, Yilong Chen, Huanhuan Li, et al.
Microbiology Spectrum (2025)
Open Access
A Machine-Learning-Based Approach to Informing Student Admission Decisions
Tuo Liu, Cosima Schenk, Stephan Braun, et al.
Behavioral Sciences (2025) Vol. 15, Iss. 3, pp. 330-330
Open Access
Widely accessible prognostication using medical history for fetal growth restriction and small for gestational age in nationwide insured women
Herdiantri Sufriyana, Fariska Zata Amani, Aufar Zimamuz Zaman Al Hajiri, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Rare Event Classification with Weighted Logistic Regression for Identifying Repeating Fast Radio Bursts
Antonio Herrera-Martín, Radu V. Craiu, Gwendolyn Eadie, et al.
The Astrophysical Journal (2025) Vol. 982, Iss. 1, pp. 46-46
Open Access
Comparing the Effectiveness of Artificial Intelligence Models in Predicting Ovarian Cancer Survival: A Systematic Review
Farkhondeh Asadi, Milad Rahimi, Nahid Ramezanghorbani, et al.
Cancer Reports (2025) Vol. 8, Iss. 3
Open Access
Knowing our choices: unveiling true voting patterns through machine learning (ML) and natural language processing (NLP) in European Parliament
Miguel Rios, Federico Zamberlán, Paris Mavromoustakos Blom, et al.
Social Network Analysis and Mining (2025) Vol. 15, Iss. 1
Open Access
Heimdall: Optimizing Storage I/O Admission with Extensive Machine Learning Pipeline
Daniar Heri Kurniawan, R. A. Rizka Qori Yuliani Putri, Peiran Qin, et al.
(2025), pp. 1109-1125
Closed Access
Quantification of abdominal aortic calcification using photon-counting CT angiography: an imaging biomarker for high-risk cardiovascular patients
Takashi Ota, Atsushi Nakamoto, Masatoshi Hori, et al.
La radiologia medica (2025)
Open Access
Predicting hospital admissions, ICU utilization, and prolonged length of stay among febrile pediatric emergency department patients using incomplete and imbalanced electronic health record (EHR) data strategies
Tom Velez, Z. A. Ibrahim, Kanayo Duru, et al.
International Journal of Medical Informatics (2025), pp. 105905-105905
Closed Access
Classification of imbalanced data using machine learning algorithms to predict the risk of renal graft failures in Ethiopia
Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 12
Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty
Jacobien H. F. Oosterhoff, Anne de Hond, Rinne M Peters, et al.
Clinical Orthopaedics and Related Research (2024) Vol. 482, Iss. 8, pp. 1472-1482
Closed Access | Times Cited: 4
Development and Validation of Machine Learning Algorithms to Predict 1-Year Ischemic Stroke and Bleeding Events in Patients with Atrial Fibrillation and Cancer
Bang Truong, Jingyi Zheng, Lori B. Hornsby, et al.
Cardiovascular Toxicology (2024) Vol. 24, Iss. 4, pp. 365-374
Open Access | Times Cited: 4
Person-specific and pooled prediction models for binge eating, alcohol use and binge drinking in bulimia nervosa and alcohol use disorder
Nicolas Leenaerts, Peter D. Soyster, Jenny Ceccarini, et al.
Psychological Medicine (2024) Vol. 54, Iss. 10, pp. 2758-2773
Open Access | Times Cited: 4
Forecasting mental states in schizophrenia using digital phenotyping data
Thierry Jean, Rose Guay Hottin, Pierre Orban
PLOS Digital Health (2025) Vol. 4, Iss. 2, pp. e0000734-e0000734
Open Access
Proteomic associations with cognitive variability as measured by the Wisconsin Card Sorting Test in a healthy Thai population: A machine learning approach
Chen Chen, Bupachad Khanthiyong, Benjamard Thaweetee-Sukjai, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0313365-e0313365
Open Access
Likelihood-ratio-based confidence intervals for neural networks
Laurens Sluijterman, Eric Cator, Tom Heskes
Machine Learning (2025) Vol. 114, Iss. 4
Open Access
Physics-informed neural networks for small sample state of health estimation of lithium-ion batteries
Lang Chen, Chun Chang, Xiaoyu Liu, et al.
Journal of Energy Storage (2025) Vol. 122, pp. 116559-116559
Closed Access
Considerations in the reliability and fairness audits of predictive models for advance care planning
Jonathan Lu, Amelia Sattler, Samantha Wang, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 18
Inpatient Fall Prediction Models: A Scoping Review
Rex Parsons, Robin Blythe, Susanna Cramb, et al.
Gerontology (2022) Vol. 69, Iss. 1, pp. 14-29
Open Access | Times Cited: 17
Forecasting football injuries by combining screening, monitoring and machine learning
Anne Hecksteden, Georges P Schmartz, Yanni Egyptien, et al.
Science and Medicine in Football (2022) Vol. 7, Iss. 3, pp. 214-228
Closed Access | Times Cited: 16
Implications of resampling data to address the class imbalance problem (IRCIP): an evaluation of impact on performance between classification algorithms in medical data
Koen Welvaars, Jacobien H. F. Oosterhoff, Michel P. J. van den Bekerom, et al.
JAMIA Open (2023) Vol. 6, Iss. 2
Open Access | Times Cited: 10
Gait, physical activity and tibiofemoral cartilage damage: a longitudinal machine learning analysis in the Multicenter Osteoarthritis Study
K.E. Costello, David T. Felson, S. Reza Jafarzadeh, et al.
British Journal of Sports Medicine (2023) Vol. 57, Iss. 16, pp. 1018-1024
Open Access | Times Cited: 9

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