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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:

Classification Performance of Neural Networks Versus Logistic Regression Models: Evidence From Healthcare Practice
Richard Issitt, Mario Cortina‐Borja, William Bryant, et al.
Cureus (2022)
Open Access | Times Cited: 15

Showing 15 citing articles:

The role of cell-free DNA biomarkers and patient data in the early prediction of preeclampsia: an artificial intelligence model
Asma Khalil, Giovanni Bellesia, Mary E. Norton, et al.
American Journal of Obstetrics and Gynecology (2024) Vol. 231, Iss. 5, pp. 554.e1-554.e18
Closed Access | Times Cited: 8
Statistical Modeling in Healthcare
M. N. Bahadori, Morteza Soltani, Masoumeh Soleimani, et al.
Advances in medical technologies and clinical practice book series (2023), pp. 431-446
Closed Access | Times Cited: 6
Application of Regularized Logistic Regression and Artificial Neural Network Model for Ozone Classification across El Paso County, Texas, United States
Callistus Obunadike, Adekunle Adefabi, Somtobe Olisah, et al.
Journal of Data Analysis and Information Processing (2023) Vol. 11, Iss. 03, pp. 217-239
Open Access | Times Cited: 3
A Countrywide Descriptive Survey of Agile Software Development in Brazil
Rafaela Mantovani Fontana, Jaime Wojciechowski, Razer Rojas Montaño, et al.
Lecture notes in business information processing (2022), pp. 185-202
Open Access | Times Cited: 5
Agile Processes in Software Engineering and Extreme Programming
Viktoria Stray, Klaas-Jan Stol, Maria Paasivaara, et al.
Lecture notes in business information processing (2022)
Open Access | Times Cited: 4
Applying machine learning to construct an association model for lung cancer and environmental hormone high‐risk factors and nursing assessment reconstruction
Pin‐Chieh Lee, Mong‐Wei Lin, Hsien‐Chi Liao, et al.
Journal of Nursing Scholarship (2024)
Open Access
Assessing the impact on quality of prediction and inference from balancing in multilevel logistic regression
Carolina Gonzalez-Canas, Gustavo A. Valencia-Zapata, Ana Maria Estrada Gomez, et al.
Healthcare Analytics (2024) Vol. 6, pp. 100359-100359
Open Access
A machine learning approach towards assessing consistency and reproducibility: an application to graft survival across three kidney transplantation eras
Okechinyere J. Achilonu, George Obaido, Blessing Ogbuokiri, et al.
Frontiers in Digital Health (2024) Vol. 6
Open Access
A Comparative Study of Data-Driven Early-Stage End-of-Life Classification Approaches for Lithium-Ion Batteries
Xuelu Wang, Jianwen Meng, Toufik Azib
Energies (2024) Vol. 17, Iss. 17, pp. 4485-4485
Open Access
Predictive Modeling for Patient Hospitalization: Enhancing Healthcare Outcomes
C. Noel Bairey Merz, Angelo Galioto, Md Liakat Ali
2021 IEEE URUCON (2024), pp. 1-5
Closed Access
Prediction of Overnight Stay Following Shoulder Arthroplasty Utilizing Machine Learning
Benjamin Miltenberg, Teja Yeramosu, William L. Johns, et al.
Seminars in Arthroplasty JSES (2024)
Closed Access
Graph autoencoder (GAE) for community detection in social networks
Pratibha Joshi, Buddha Singh
International Journal of Data Science and Analytics (2024)
Closed Access
Taba Binary, Multinomial, and Ordinal Regression Models: New Machine Learning Methods for Classification
Mohammad Tabatabai, Derek Wilus, Chau-Kuang Chen, et al.
Bioengineering (2024) Vol. 12, Iss. 1, pp. 2-2
Open Access
Development and Validation of Two Prediction Models for 72-Hour Mortality in High-Risk Trauma Patients Using a Benchmark Dataset: A Comparative Study of Logistic Regression and Neural Networks Models
Mehmet Muzaffer İslam
Cureus (2023)
Open Access | Times Cited: 1
Diastolic Dysfunction Prediction with Symptoms Using Machine Learning Approach
Muhammad Shoaib Anjum, Omer Riaz, Muhammad Salman Latif
International Journal of Innovations in Science and Technology (2022) Vol. 4, Iss. 3, pp. 714-726
Open Access | Times Cited: 2
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