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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:

Medical resource allocation planning by integrating machine learning and optimization models
Tasquia Mizan, Sharareh Taghipour
Artificial Intelligence in Medicine (2022) Vol. 134, pp. 102430-102430
Closed Access | Times Cited: 19

Showing 19 citing articles:

The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Shiva Maleki Varnosfaderani, Mohamad Forouzanfar
Bioengineering (2024) Vol. 11, Iss. 4, pp. 337-337
Open Access | Times Cited: 139
Machine Learning and Artificial Intelligence with XGBoost Algorithm for Binary Classification

(2025), pp. 161-192
Closed Access
Clustering Analysis for Forecasting Medicine Consumption
Douglas Mateus Machado, Zakaria Yahouni, Gülgün Alpan, et al.
Communications in computer and information science (2025), pp. 155-172
Open Access
Self-Supervised Forecasting in Electronic Health Records With Attention-Free Models
Yogesh Kumar, Alexander Ilin, Henri Salo, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 8, pp. 3926-3938
Open Access | Times Cited: 4
Improved genetic algorithm based on greedy and simulated annealing ideas for vascular robot ordering strategy
Zixi Wang, Yubo Huang, Yukai Zhang, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0306990-e0306990
Open Access
Opportunities for Artificial Intelligence in Oncology: From the Lens of Clinicians and Patients
Krunal Pandav, Sahar Almahfouz Nasser, Kristen H. Kimball, et al.
JCO Oncology Practice (2025)
Closed Access
Artificial Intelligence in Cardiology: An Australian Perspective
Biyanka Jaltotage, Abdul Rahman Ihdayhid, N. Lan, et al.
Heart Lung and Circulation (2023) Vol. 32, Iss. 8, pp. 894-904
Closed Access | Times Cited: 12
Empowering Healthcare With Cyber-Physical System—A Systematic Literature Review
Heba M. Khater, Farag Sallabi, Mohamed Adel Serhani, et al.
IEEE Access (2024) Vol. 12, pp. 83952-83993
Open Access | Times Cited: 2
A machine learning-based model for a dose point kernel calculation
Ignacio Scarinci, M. Valente, Pedro Pérez
EJNMMI Physics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 2
A Survey on Optimization and Machine-learning-based Fair Decision Making in Healthcare
Zequn Chen, Wesley J. Marrero
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Predictive modeling for identifying infection risk following spinal surgery: Optimizing patient management
Ruiyu Wang, Jie Xiao, Qi Gao, et al.
Experimental and Therapeutic Medicine (2024) Vol. 28, Iss. 1
Open Access
Discrete simulation applied to the improvement of patient flows in hospital institutions
Yasniel Sánchez Suárez, Arialys Hernández Nariño, Maylín Marqués León, et al.
Ingeniare. Revista chilena de ingeniería (2024) Vol. 32
Open Access
Real-Time Healthcare Resource Management Planning Using Advanced Machine Learning Methods
Tasquia Mizan
(2024)
Open Access
Real-Time Healthcare Resource Management Planning Using Advanced Machine Learning Methods
Tasquia Mizan
(2024)
Open Access
Using Machine Learning to Optimize Resource Allocation and Management Strategies in Colleges and Universities
Ying Li, Jiaqi Liu, Jing Qiu
2022 11th International Conference of Information and Communication Technology (ICTech)) (2024), pp. 253-257
Closed Access
SANSformers: Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models
Yogesh Kumar, Alexander Ilin, Henri Salo, et al.
(2023)
Open Access
SANSformers: Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models
Yogesh Kumar, Alexander Ilin, Henri Salo, et al.
(2023)
Open Access
Hybrid Machine Learning Approach for Parallel Machine Scheduling Under Uncertainty
Aleksandar Stanković, Goran Petrović, Rajko Turudija, et al.
(2023)
Closed Access
Optimizing Healthcare Resources for Chronic Non-Communicable Disease Patients: A Data-Driven Approach
Hanxiao Jiang
(2023), pp. 364-369
Closed Access
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