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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:

Application of machine learning in predicting survival outcomes involving real-world data: a scoping review
Yinan Huang, Jieni Li, Mai Suan Li, et al.
BMC Medical Research Methodology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Application of artificial intelligence in the health management of chronic disease: bibliometric analysis
Minggui Pan, Rong Li, Junfan Wei, et al.
Frontiers in Medicine (2025) Vol. 11
Open Access | Times Cited: 3
Prediction model of pressure injury occurrence in diabetic patients during ICU hospitalization——XGBoost machine learning model can be interpreted based on SHAP
Jie Xu, Tie Chen, Xixi Fang, et al.
Intensive and Critical Care Nursing (2024) Vol. 83, pp. 103715-103715
Closed Access | Times Cited: 8
A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction
Achamyeleh Birhanu Teshale, Htet Lin Htun, Mor Vered, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 6
Predicting Factors Affecting Survival Rate in Patients Undergoing On‐Pump Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A Systematic Review
Alireza Jafarkhani, Behzad Imani, Soheila Saeedi, et al.
Health Science Reports (2025) Vol. 8, Iss. 1
Open Access
Predicting survival in malignant glioma using artificial intelligence
Wireko Andrew Awuah, Adam Ben-Jaafar, Subham Roy, et al.
European journal of medical research (2025) Vol. 30, Iss. 1
Open Access
Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients
Aref Andishgar, Sina Bazmi, Kamran Bagheri Lankarani, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A guided review of machine learning in the design and application for pore nanoarchitectonics of carbon materials
Chuang Wang, Xingxing Cheng, Kai Luo, et al.
Materials Science and Engineering R Reports (2025) Vol. 165, pp. 101010-101010
Closed Access
Artificial intelligence and chordoma: A scoping review of the current landscape and future directions
Eddie Guo, Rafael D. Sanguinetti, Lyndon Boone, et al.
Brain and Spine (2025), pp. 104271-104271
Open Access
Predicting the Need for Cardiovascular Surgery: A Comparative Study of Machine Learning Models
Arman Ghavidel, Pilar Pazos, Rolando Del Aguila Suarez, et al.
Journal of Electronics Electromedical Engineering and Medical Informatics (2024) Vol. 6, Iss. 2, pp. 92-106
Open Access | Times Cited: 3
Machine learning for medical image classification
Gulam Mohammed Husain, Jonathan Mayer, Molly Bekbolatova, et al.
Academia Medicine (2024) Vol. 1, Iss. 4
Closed Access | Times Cited: 3
Censoring Sensitivity Analysis for Benchmarking Survival Machine Learning Methods
János Báskay, Tamás Mezei, Péter Banczerowski, et al.
Sci (2025) Vol. 7, Iss. 1, pp. 18-18
Open Access
Artificial Intelligence in Cardiac Emergencies: A Review
Chandrasekhar Krishnamurti, Salehe I. Mrutu
Indian Journal of Clinical Cardiology (2025)
Open Access
Evaluation of machine learning methods for prediction of heart failure mortality and readmission: meta-analysis
Hamed Hajishah, Danial Kazemi, Ehsan Safaee, et al.
BMC Cardiovascular Disorders (2025) Vol. 25, Iss. 1
Open Access
Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging—A Systematic Review
Wilson Ong, Aric Lee, Wei Chuan Tan, et al.
Cancers (2024) Vol. 16, Iss. 17, pp. 2988-2988
Open Access | Times Cited: 2
Challenges and opportunities to integrate artificial intelligence in radiation oncology: a narrative review
C. Jeong, Y. M. Goh, Jungwon Kwak
The Ewha Medical Journal (2024) Vol. 47, Iss. 4
Open Access | Times Cited: 2
Integrating radiomic and 3D autoencoder-based features for Non-Small Cell Lung Cancer survival analysis
Mário Ferretti, Valentina Corino
Computer Methods and Programs in Biomedicine (2024) Vol. 258, pp. 108496-108496
Closed Access | Times Cited: 2
Use of artificial intelligence and radiomics for risk stratification in patients with pulmonary embolism: New tools for an old problem
Davide Santagata, Marco Paolo Donadini, Walter Ageno
European Journal of Clinical Investigation (2024) Vol. 54, Iss. 5
Closed Access | Times Cited: 1
deepAFT: A nonlinear accelerated failure time model with artificial neural network
Patrick A. Norman, Wan‐Lu Li, Wenyu Jiang, et al.
Statistics in Medicine (2024) Vol. 43, Iss. 19, pp. 3689-3701
Open Access | Times Cited: 1
Predicting intraoperative blood loss during cesarean sections based on multi-modal information: a two-center study
Changye Zheng, Peiyan Yue, Kangyang Cao, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 7, pp. 2325-2339
Closed Access | Times Cited: 1
Designing hybrid CRISPR-Cas12 and LAMP detection systems for treatment-resistant Plasmodium falciparum with in silico method
Arli Aditya Parikesit, Rio Hermantara, Gregorius Kevin, et al.
Narra J (2023) Vol. 3, Iss. 3, pp. e301-e301
Open Access | Times Cited: 3
Semiparametric Regression Analysis of Panel Count Data with Multiple Modes of Recurrence
Mathew P. M. Ashlin, P. G. Sankaran, E. P. Sreedevi
Annals of Data Science (2024)
Closed Access
Deep-learning survival analysis for patients with calcific aortic valve disease undergoing valve replacement
Parvin Mohammadyari, Francesco Vieceli Dalla Sega, Francesca Fortini, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Development and validation of machine-learning-based survival prediction model for young patients with gastric cancer
Ha Ye Jin Kang, Minsam Ko, Kwang Sun Ryu
Research Square (Research Square) (2024)
Open Access
Semiparametric Transformation Models for Mixed Recurrent Event and Panel Count Data with Multiple Causes of Failure
P. G. Sankaran, S. Hari
Journal of the Indian Society for Probability and Statistics (2024)
Closed Access
Prognostic Stratification of Familial Hypercholesterolemia Patients Using AI Algorithms: A Gender-Specific Approach
Alberto Zamora, L. Masana, Fernando Civeira, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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