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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:

Deep reinforcement learning-based control of chemo-drug dose in cancer treatment
Hoda Mashayekhi, Mostafa Nazari, Fatemeh Jafarinejad, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107884-107884
Closed Access | Times Cited: 12

Showing 12 citing articles:

Model‐Informed Reinforcement Learning for Enabling Precision Dosing Via Adaptive Dosing
Elena M. Tosca, Alessandro De Carlo, Davide Ronchi, et al.
Clinical Pharmacology & Therapeutics (2024) Vol. 116, Iss. 3, pp. 619-636
Open Access | Times Cited: 8
Image-based predictive modelling frameworks for personalised drug delivery in cancer therapy
Ajay Bhandari, Boram Gu, Farshad Moradi Kashkooli, et al.
Journal of Controlled Release (2024) Vol. 370, pp. 721-746
Open Access | Times Cited: 7
Optimization of chemotherapy regimens using mathematical programming
Konstantin Bräutigam
Computers & Industrial Engineering (2024) Vol. 191, pp. 110078-110078
Open Access | Times Cited: 6
Advanced AI Applications for Drug Discovery
Bancha Yingngam, Benjabhorn Sethabouppha
Advances in medical technologies and clinical practice book series (2024), pp. 42-86
Closed Access | Times Cited: 4
A comprehensive review on modeling aspects of infusion-based drug delivery in the brain
Yuan Tian, Wenbo Zhan, Michele Terzano, et al.
Acta Biomaterialia (2024) Vol. 185, pp. 1-23
Open Access | Times Cited: 4
Simultaneous Multi-Treatment Strategy for Brain Tumor Reduction via Nonlinear Control
Muhammad Arsalan, Xiaojun Yu, Muhammad Tariq Sadiq, et al.
Brain Sciences (2025) Vol. 15, Iss. 2, pp. 207-207
Open Access
A study on brain tumor dynamics in two-dimensional irregular domain with variable-order time-fractional derivative
Harshad Sakariya, Rajendra Prasad, Sushil Kumar
Computer Methods and Programs in Biomedicine (2025) Vol. 264, pp. 108700-108700
Closed Access
Machine Learning Methods for Precision Dosing in Anticancer Drug Therapy: A Scoping Review
Olga Teplytska, Moritz Ernst, Luca Marie Koltermann, et al.
Clinical Pharmacokinetics (2024) Vol. 63, Iss. 9, pp. 1221-1237
Open Access | Times Cited: 3
Deep reinforcement learning control of combined chemotherapy and anti-angiogenic drug delivery for cancerous tumor treatment
Vahid Reza Niazmand, Mohammad Ali Raheb, Navid Eqra, et al.
Computers in Biology and Medicine (2024) Vol. 181, pp. 109041-109041
Closed Access | Times Cited: 1
Comprehensive review of reinforcement learning in lung cancer diagnosis and treatment: Taxonomy, challenges and recommendations
Mohsen Ghorbian, ‪Saeid Ghorbian
Computers in Biology and Medicine (2024) Vol. 183, pp. 109326-109326
Closed Access | Times Cited: 1
Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review
Lillian Muyama, Antoine Neuraz, Adrien Coulet
Journal of Biomedical Informatics (2024) Vol. 160, pp. 104746-104746
Open Access | Times Cited: 1
Scientific machine learning for predicting plasma concentrations in anti-cancer therapy
Diego Valderrama, Olga Teplytska, Luca Marie Koltermann, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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