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:
Prediction of Venous Thromboembolism in Diverse Populations Using Machine Learning and Structured Electronic Health Records
Robert Chen, Ben Omega Petrazzini, Waqas Malick, et al.
Arteriosclerosis Thrombosis and Vascular Biology (2023) Vol. 44, Iss. 2, pp. 491-504
Open Access | Times Cited: 8
Robert Chen, Ben Omega Petrazzini, Waqas Malick, et al.
Arteriosclerosis Thrombosis and Vascular Biology (2023) Vol. 44, Iss. 2, pp. 491-504
Open Access | Times Cited: 8
Showing 8 citing articles:
Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A Comprehensive Review of the Past 5 Years
Elena Stamate, Alin Ionut Piraianu, Oana Roxana Ciobotaru, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1103-1103
Open Access | Times Cited: 11
Elena Stamate, Alin Ionut Piraianu, Oana Roxana Ciobotaru, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1103-1103
Open Access | Times Cited: 11
Genetic factors, risk prediction and AI application of thrombotic diseases
Rong Wang, Liang Tang, Yu Hu
Experimental Hematology and Oncology (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Rong Wang, Liang Tang, Yu Hu
Experimental Hematology and Oncology (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Predictive modeling of lower extreme deep vein thrombosis following radical gastrectomy for gastric cancer: based on multiple machine learning methods
Haiyan Zhou, Yongyan Jin, Guofeng Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Haiyan Zhou, Yongyan Jin, Guofeng Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Nomogram for hospital-acquired venous thromboembolism among patients with cardiovascular diseases
Qin Luo, Xin Li, Zhihui Zhao, et al.
Thrombosis Journal (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 4
Qin Luo, Xin Li, Zhihui Zhao, et al.
Thrombosis Journal (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 4
Deep vein thrombosis in severe community-acquired pneumonia patients undergoing thromboprophylaxis: Prevalence, risk factors, and outcome
Na Cui, Jing Wang, Xiaokai Feng, et al.
Thrombosis Journal (2025) Vol. 23, Iss. 1
Open Access
Na Cui, Jing Wang, Xiaokai Feng, et al.
Thrombosis Journal (2025) Vol. 23, Iss. 1
Open Access
All of Us diversity and scale improve polygenic prediction contextually with greatest improvements for under-represented populations
Kristin Tsuo, Zhuozheng Shi, Tian Ge, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Kristin Tsuo, Zhuozheng Shi, Tian Ge, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
From Code to Clots: Applying Machine Learning to Clinical Aspects of Venous Thromboembolism Prevention, Diagnosis, and Management
Pavlina Chrysafi, Barbara D. Lam, Saskia Carton, et al.
Hämostaseologie (2024) Vol. 44, Iss. 06, pp. 429-445
Closed Access | Times Cited: 2
Pavlina Chrysafi, Barbara D. Lam, Saskia Carton, et al.
Hämostaseologie (2024) Vol. 44, Iss. 06, pp. 429-445
Closed Access | Times Cited: 2
Venous thromboembolism in the era of machine learning and artificial intelligence in medicine
Morayma Reyes Gil, Joshua Pantanowitz, Hooman H. Rashidi
Thrombosis Research (2024) Vol. 242, pp. 109121-109121
Open Access | Times Cited: 1
Morayma Reyes Gil, Joshua Pantanowitz, Hooman H. Rashidi
Thrombosis Research (2024) Vol. 242, pp. 109121-109121
Open Access | Times Cited: 1
