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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:

Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission
Zhixu Hu, Hang Qiu, Liya Wang, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 14

Showing 14 citing articles:

A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future
Richard Woodman, Arduino A. Mangoni
Aging Clinical and Experimental Research (2023) Vol. 35, Iss. 11, pp. 2363-2397
Open Access | Times Cited: 50
Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data
Sajid Ali, Shaker El–Sappagh, Farman Ali, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 12, pp. 5793-5804
Closed Access | Times Cited: 24
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning
Dejia Zhou, Hang Qiu, Liya Wang, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 13
Development of Multiservice Machine Learning Models to Predict Postsurgical Length of Stay and Discharge Disposition at the Time of Case Posting
Hamed Zaribafzadeh, Thomas Clark Howell, Wendy Webster, et al.
Annals of Surgery Open (2025) Vol. 6, Iss. 1, pp. e547-e547
Open Access
A deep learning–based method to predict the length of stay for patients with traumatic fall injuries in support of physicians' clinical decisions and patient management
Jiaxuan Peng, Da Xu, Paul Jen‐Hwa Hu, et al.
Decision Support Systems (2025) Vol. 191, pp. 114411-114411
Closed Access
Process mining and data mining applications in the domain of chronic diseases: A systematic review
K.C. Chen, Farhad Abtahi, Juan Jesús Carrero, et al.
Artificial Intelligence in Medicine (2023) Vol. 144, pp. 102645-102645
Open Access | Times Cited: 12
Machine learning applications in preventive healthcare: A systematic literature review on predictive analytics of disease comorbidity from multiple perspectives
Duo Xu, Zeshui Xu
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102950-102950
Closed Access | Times Cited: 4
Leveraging Artificial Intelligence to Predict and Manage Complications in Patients With Multimorbidity: A Literature Review
Sai Praneeth Chaparala, Kaustubh Pathak, Raman Dugyala, et al.
Cureus (2025)
Open Access
Applying precision medicine principles to the management of multimorbidity: the utility of comorbidity networks, graph machine learning, and knowledge graphs
Richard Woodman, Bogda Koczwara, Arduino A. Mangoni
Frontiers in Medicine (2024) Vol. 10
Open Access | Times Cited: 3
Early prediction of high-cost inpatients with ischemic heart disease using network analytics and machine learning
Ping Yang, Hang Qiu, Liya Wang, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118541-118541
Closed Access | Times Cited: 13
Application of machine learning approaches in predicting clinical outcomes in older adults – a systematic review and meta-analysis
Robert T Olender, Sandipan Roy, Prasad S. Nishtala
BMC Geriatrics (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 6
Co-morbidity Representation in Artificial Intelligence: Tapping into Unused Clinical Knowledge
W. Bolton, Pantelis Georgiou, Alison Holmes, et al.
Studies in computational intelligence (2024), pp. 173-196
Closed Access
Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network
Liang Ye, Chonghui Guo, Hailin Li
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access
Application of machine learning approaches in predicting clinical outcomes in older adults – a systematic review and meta-analysis.
Robert T Olender, Sandipan Roy, Prasad S. Nishtala
Research Square (Research Square) (2022)
Open Access
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