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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 19 citing articles:

Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design
Lalitkumar K. Vora, Amol D. Gholap, Keshava Jetha, et al.
Pharmaceutics (2023) Vol. 15, Iss. 7, pp. 1916-1916
Open Access | Times Cited: 383
An extensive review on lung cancer therapeutics using machine learning techniques: state-of-the-art and perspectives
Shaban Ahmad, Khalid Raza
Journal of drug targeting (2024) Vol. 32, Iss. 6, pp. 635-646
Closed Access | Times Cited: 15
The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency
Md. Faiyazuddin, Syed Jalal Q. Rahman, Gaurav Anand, et al.
Health Science Reports (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review
Phuvamin Suriyaamporn, Boonnada Pamornpathomkul, Prasopchai Patrojanasophon, et al.
AAPS PharmSciTech (2024) Vol. 25, Iss. 6
Closed Access | Times Cited: 7
The role of AI in microbial fermentation: Transforming industrial applications
Akanksha Srivastava, Chhavi Atri
Methods in microbiology (2025)
Closed Access
Advanced Artificial Intelligence Technologies Transforming Contemporary Pharmaceutical Research
Parveen Kumar, Benu Chaudhary, Preeti Arya, et al.
Bioengineering (2025) Vol. 12, Iss. 4, pp. 363-363
Open Access
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
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
Data-Driven Enterprise Architecture for Pharmaceutical R&D
Nailya Uzhakova, Stefan Fischer
Digital (2024) Vol. 4, Iss. 2, pp. 333-371
Open Access | Times Cited: 3
Vector Control of PMSM Using TD3 Reinforcement Learning Algorithm
Fengyuan Yin, Xiaoming Yuan, Zhiao Ma, et al.
Algorithms (2023) Vol. 16, Iss. 9, pp. 404-404
Open Access | Times Cited: 7
A multi-objective optimization framework for determining optimal chemotherapy dosing and treatment duration
Ismail Abdulrashid, Dursun Delen, Basiru Usman, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100335-100335
Open Access | Times Cited: 2
Multi-objective optimization of cancer treatment using the multi-objective gray wolf optimizer (MOGWO)
Linkai Chen, Honghui Fan, Hongjin Zhu
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 3, pp. 1857-1866
Closed Access | Times Cited: 4
Drug Dosage Control System Using Reinforcement Learning
P. Adi Lakshmi, Anitha Kolipakula, Sathvik Saran Atchukolu, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 638-645
Open Access | Times Cited: 1
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
Autoencoder-based inverse design and surrogate-based optimization of an integrated wet granulation manufacturing process
Ashley Dan, Rohit Ramachandran
International Journal of Pharmaceutics X (2024) Vol. 8, pp. 100287-100287
Open 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
Production and development of novel drug targets through AI
Ghada Abd‐Elmonsef Mahmoud, Omnia Karem M. Riad, Mona Shaban E. M. Badawy
Methods in microbiology (2024), pp. 1-28
Closed Access
Machine-Learning-Powered Information Systems: A Systematic Literature Review for Developing Multi-Objective Healthcare Management
Maryam Bagheri, Mohsen Bagheritabar, Sohila Alizadeh, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 296-296
Open Access
Multi-Objective Reinforcement Learning for Sustainable Supply Chain Optimization
Ibrahim El Shar, Haiyan Wang, Chetan Gupta
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2023), pp. 1-7
Closed Access | Times Cited: 1
Translating Data Science Results into Precision Oncology Decisions: A Mini Review
Enrico Capobianco, Marco Dominietto
Journal of Clinical Medicine (2023) Vol. 12, Iss. 2, pp. 438-438
Open Access
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