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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:

Development and validation of a machine learning model to predict venous thromboembolism among hospitalized cancer patients
Lingqi Meng, Tao Wei, Rongrong Fan, et al.
Asia-Pacific Journal of Oncology Nursing (2022) Vol. 9, Iss. 12, pp. 100128-100128
Open Access | Times Cited: 16

Showing 16 citing articles:

The application and use of artificial intelligence in cancer nursing: A systematic review
Siobhán O’Connor, Amy Vercell, David Wong, et al.
European Journal of Oncology Nursing (2024) Vol. 68, pp. 102510-102510
Open Access | Times Cited: 13
Machine Learning as a Diagnostic and Prognostic Tool for Predicting Thrombosis in Cancer Patients: A Systematic Review
Adham El Sherbini, Stefania Coroneos, Ali Zidan, et al.
Seminars in Thrombosis and Hemostasis (2024) Vol. 50, Iss. 06, pp. 809-816
Closed Access | Times Cited: 6
Novel Insights in Venous Thromboembolism Risk Assessment Methods in Ambulatory Cancer Patients: From the Guidelines to Clinical Practice
Anca Drăgan, Adrian Ştefan Drăgan
Cancers (2024) Vol. 16, Iss. 2, pp. 458-458
Open Access | Times Cited: 4
Incidence and Risk Factors of Lower Limb Deep Vein Thrombosis in Psychiatric Inpatients by Applying Machine Learning to Electronic Health Records: A Retrospective Cohort Study
Liang Xu, Da Miao
Clinical Epidemiology (2025) Vol. Volume 17, pp. 197-209
Open Access
Development, validation, and clinical utility of risk prediction models for cancer-associated venous thromboembolism: A retrospective and prospective cohort study
Shuai Jin, Dan Qin, Chong Wang, et al.
Asia-Pacific Journal of Oncology Nursing (2025), pp. 100691-100691
Open Access
The Potential Promise of Machine Learning in Myelodysplastic Syndrome
Valeria Visconte, Jaroslaw P. Maciejewski, Luca Guarnera
Seminars in Hematology (2024)
Closed Access | Times Cited: 2
Application of Machine Learning to the Prediction of Cancer-Associated Venous Thromboembolism
Simon Mantha, Subrata Chatterjee, Rohan Kumar Singh, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 5
Prediction of Venous Thromboembolism in Patients With Cancer Using Machine Learning Approaches: A Systematic Review and Meta-Analysis
Anabel Franco‐Moreno, Elena Madroñal‐Cerezo, Nuria Muñoz‐Rivas, et al.
JCO Clinical Cancer Informatics (2023), Iss. 7
Closed Access | Times Cited: 5
Machine Learning Models for Risk Prediction of Cancer Associated Thrombosis: A Systematic Review and Meta-Analysis
Keya Chen, Ying Zhang, Lufang Zhang, et al.
Journal of Thrombosis and Haemostasis (2024)
Closed Access | Times Cited: 1
Evolutionary Multi-objective Optimization of Hyperparameters for Decision Support in Healthcare
Ruslan Sorano, Kazi Shah Nawaz Ripon, Lars Vidar Magnusson
(2023), pp. 1-26
Closed Access | Times Cited: 3
Distinguishing Malignant Melanoma and Benign Nevus of Human Skin by Retardance Using Mueller Matrix Imaging Polarimeter
Wen’ai Wang, Guoqiang Chen, Yanqiu Li
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6514-6514
Open Access | Times Cited: 2
Machine learning in cancer-associated thrombosis: hype or hope in untangling the clot
Rushad Patell, Jeffrey I. Zwicker, Rohan Kumar Singh, et al.
Bleeding Thrombosis and Vascular Biology (2024) Vol. 3, Iss. s1
Open Access
Enhancing Deep Vein Thrombosis Diagnosis with Multi-Objective Evolutionary Algorithm and Machine Learning
Ruslan Sorano, Kazi Shah Nawaz Ripon, Lars Vidar Magnusson, et al.
(2024), pp. 1-8
Closed Access
Evolutionary Multi-objective Optimization of Hyperparameters for Decision Support in Healthcare
Ruslan Sorano, Kazi Shah Nawaz Ripon, Lars Vidar Magnusson
(2024), pp. 155-180
Closed Access
Artificial Intelligence: A Support Tool or a Substitute for Oncology Nurses?
William Li, Joanna Wing Yan Yeung, Ankie Tan Cheung, et al.
Cancer Care Research Online (2024) Vol. 4, Iss. 4, pp. e063-e063
Closed Access
Evolutionary Multi-objective Optimization of Hyperparameters for Decision Support in Healthcare
Ruslan Sorano, Kazi Shah Nawaz Ripon, Lars Vidar Magnusson
(2023), pp. 1-26
Closed Access
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