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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:

A Review of Machine Learning Algorithms for Biomedical Applications
V A Binson, Sania Thomas, M. Subramoniam, et al.
Annals of Biomedical Engineering (2024) Vol. 52, Iss. 5, pp. 1159-1183
Closed Access | Times Cited: 18

Showing 18 citing articles:

Differentiating Pulmonary Nodule Malignancy Using Exhaled Volatile Organic Compounds: A Prospective Observational Study
Guangyu Lu, Zhixia Su, Xiaoping Yu, et al.
Cancer Medicine (2025) Vol. 14, Iss. 1
Open Access
Using AI to detect and treat delirium
Marcus Young, Katarzyna Kotfis, Rinaldo Bellomo
Intensive Care Medicine (2025)
Closed Access
Diagnosis of Malignant Endometrial Lesions from Ultrasound Radiomics Features and Clinical Variables Using Machine Learning Methods
Shanshan Li, Jiali Wang, Li Zhou, et al.
Clinical and Experimental Obstetrics & Gynecology (2025) Vol. 52, Iss. 1
Open Access
Integrated Approach for Biomarker Discovery and Mechanistic Insights into the Co-Pathogenesis of Type 2 Diabetes Mellitus and Non-Hodgkin Lymphoma
Yidong Zhu, Jun Liu, Bo Wang
Diabetes Metabolic Syndrome and Obesity (2025) Vol. Volume 18, pp. 267-282
Open Access
Development and validation of a new diagnostic prediction model for NAFLD based on machine learning algorithms in NHANES 2017-2020.3
Yazhi Wang, Peng Wang
HORMONES (2025)
Closed Access
A comprehensive review for chronic disease prediction using machine learning algorithms
Rakibul Islam, Azrin Sultana, Mohammad Rashedul Islam
Journal of Electrical Systems and Information Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
XAI-Based Assessment of the AMURA Model for Detecting Amyloid-β and Tau Microstructural Signatures in Alzheimer’s Disease
Lorenza Brusini, Federica Cruciani, G Dallaglio, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2024) Vol. 12, pp. 569-579
Open Access | Times Cited: 3
Revealing the regulation of allergic asthma airway epithelial cell inflammation by STEAP4 targeting MIF through machine learning algorithms and single-cell sequencing analysis
Lu Qiao, S. M. Li, Jun-nian Liu, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access | Times Cited: 2
Machine learning and flavoromics-based research strategies for determining the characteristic flavor of food: A review
Donglin Cai, Xueqing Li, Huifang Liu, et al.
Trends in Food Science & Technology (2024) Vol. 154, pp. 104794-104794
Closed Access | Times Cited: 2
Machine Learning Algorithm-Aided Determination of Predictors of Mortality from Diabetic Foot Sepsis at a Regional Hospital in South Africa During the COVID-19 Pandemic
Carlos Matsinhe, Shingirai Brenda Kagodora, Tshifhiwa Mukheli, et al.
Medicina (2024) Vol. 60, Iss. 10, pp. 1718-1718
Open Access | Times Cited: 1
A novel approach to the cause of death identification—multi-strategy integration of multi-organ FTIR spectroscopy information using machine learning
Hongli Xiong, Bi Wei, Yujing Huang, et al.
Talanta (2024) Vol. 282, pp. 127040-127040
Closed Access
An enhanced machine learning-based prognostic prediction model for patients with AECOPD on invasive mechanical ventilation
Yujie Fu, Yining Liu, Chuyue Zhong, et al.
iScience (2024) Vol. 27, Iss. 12, pp. 111230-111230
Open Access
Active Machine Learning for Pre-procedural Prediction of Time-Varying Boundary Condition After Fontan Procedure Using Generative Adversarial Networks
Wenyuan Song, David Frakes, Lakshmi Prasad Dasi
Annals of Biomedical Engineering (2024)
Closed Access
Progress on the development of prediction tools for detecting disease causing mutations in proteins
M. Michael Gromiha, Medha Pandey, A. Kulandaisamy, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109510-109510
Closed Access
Identification of Calculous Pyonephrosis by CT-Based Radiomics and Deep Learning
Guanjie Yuan, Lingli Cai, Weinuo Qu, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 662-662
Open Access
Deciphering colorectal cancer radioresistance and immune microrenvironment: unraveling the role of EIF5A through single-cell RNA sequencing and machine learning
Yaqi Zhong, Xingte Chen, Shiji Wu, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access
Predicting Spinal Cord Injury Prognosis Using Machine Learning: A Systematic Review and Meta-Analysis (Preprint)
Linxing Zhong, QiYing Huang, Hao Zhang, et al.
(2024)
Closed Access
Machine Learning-Enhanced SERS for Accurate Azoospermia Diagnosis via Seminal Plasma Exosome Analysis
Zufang Huang, Shiyan Jiang, Jiaxin Shi, et al.
Journal of Innovative Optical Health Sciences (2024)
Open Access
Machine Learning to Predict the Decision to Perform Surgery in Hepatic Echinococcosis
Raffaella Lissandrin, Ottavia Cicerone, Ambra Vola, et al.
HPB (2024)
Closed Access
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