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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.

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Showing 10 citing articles:

Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records
Le Zheng, Oliver Wang, Shiying Hao, et al.
Translational Psychiatry (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 82
Using Artificial Intelligence Resources in Dialysis and Kidney Transplant Patients: A Literature Review
Alexandru Burlacu, Adrian Iftene, Daniel Jugrin, et al.
BioMed Research International (2020) Vol. 2020, pp. 1-14
Open Access | Times Cited: 50
Quality medical data management within an open AI architecture – cancer patients case
Mirjana Ivanović, Serge Autexier, Miltiadis Kokkonidis, et al.
Connection Science (2023) Vol. 35, Iss. 1
Open Access | Times Cited: 13
Artificial Intelligence for the Artificial Kidney: Pointers to the Future of a Personalized Hemodialysis Therapy
Miguel Hueso, Alfredo Vellido, Núria Montero, et al.
Kidney Diseases (2018) Vol. 4, Iss. 1, pp. 1-9
Open Access | Times Cited: 30
The application of machine learning techniques in prediction of quality of life features for cancer patients
Miloš Savić, Vladimir Kurbalija, Mihailo Ilić, et al.
Computer Science and Information Systems (2022) Vol. 20, Iss. 1, pp. 381-404
Open Access | Times Cited: 14
Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study
Yi‐Shiuan Liu, Chih‐Yu Yang, Chiu‐Ping Fang, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 9, pp. e27098-e27098
Open Access | Times Cited: 13
AEP-DLA: Adverse Event Prediction in Hospitalized Adult Patients Using Deep Learning Algorithms
Chieh‐Liang Wu, Ming-Ju Wu, Lun-Chi Chen, et al.
IEEE Access (2021) Vol. 9, pp. 55673-55689
Open Access | Times Cited: 6
Model for Predicting Complications of Hemodialysis Patients Using Data from the Internet of Medical Things and Electronic Medical Records
Wen-Huai Hsieh, Cheng‐Yuan Ku, Humble Po-Ching Hwang, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2023) Vol. 11, pp. 375-383
Open Access | Times Cited: 1
Development and Implementation of an Early Warning System for High Risk Patients for Suicide Attempt Using Deep Learning and Electronic Health Records (Preprint)
Le Zheng, Oliver Wang, Modi Liu, et al.
(2018)
Closed Access
Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study (Preprint)
Yi‐Shiuan Liu, Chih‐Yu Yang, Chiu‐Ping Fang, et al.
(2021)
Open Access
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