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:

Two heads are better than one: current landscape of integrating QSP and machine learning
Tongli Zhang, Ioannis P. Androulakis, Peter L. Bonate, et al.
Journal of Pharmacokinetics and Pharmacodynamics (2022) Vol. 49, Iss. 1, pp. 5-18
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Artificial Intelligence and Machine Learning Approaches to Facilitate Therapeutic Drug Management and Model-Informed Precision Dosing
Ethan A. Poweleit, Alexander A. Vinks, Tomoyuki Mizuno
Therapeutic Drug Monitoring (2023) Vol. 45, Iss. 2, pp. 143-150
Open Access | Times Cited: 47

Fault prognosis of Li-ion batteries in electric vehicles: Recent progress, challenges and prospects
Heng Li, Muaaz Bin Kaleem, Kailong Liu, et al.
Journal of Energy Storage (2025) Vol. 116, pp. 116002-116002
Closed Access | Times Cited: 1

Artificial Intelligence for Quantitative Modeling in Drug Discovery and Development: An Innovation and Quality Consortium Perspective on Use Cases and Best Practices
Nadia Terranova, Didier Renard, Mohamed H. Shahin, et al.
Clinical Pharmacology & Therapeutics (2023) Vol. 115, Iss. 4, pp. 658-672
Open Access | Times Cited: 27

Artificial intelligence-driven drug development against autoimmune diseases
Philippe Moingeon
Trends in Pharmacological Sciences (2023) Vol. 44, Iss. 7, pp. 411-424
Open Access | Times Cited: 24

An industry perspective on current QSP trends in drug development
L. Cucurull-Sanchez
Journal of Pharmacokinetics and Pharmacodynamics (2024)
Open Access | Times Cited: 12

Artificial Intelligence: From Buzzword to Useful Tool in Clinical Pharmacology
Mohamed H. Shahin, Aline Barth, Jagdeep T. Podichetty, et al.
Clinical Pharmacology & Therapeutics (2023) Vol. 115, Iss. 4, pp. 698-709
Closed Access | Times Cited: 17

Inclusion of functional measures and frailty in the development and evaluation of medicines for older adults
Michael Denkinger, Wilma Knol, Antonio Cherubini, et al.
The Lancet Healthy Longevity (2023) Vol. 4, Iss. 12, pp. e724-e729
Open Access | Times Cited: 16

Bridging the Worlds of Pharmacometrics and Machine Learning
Kamilė Stankevičiūtė, Jean‐Baptiste Woillard, Richard Peck, et al.
Clinical Pharmacokinetics (2023) Vol. 62, Iss. 11, pp. 1551-1565
Closed Access | Times Cited: 13

Virtual patients inspired by multiomics predict the efficacy of an anti-IFNα mAb in cutaneous lupus
Vincent Hurez, Glenn Gauderat, Perrine Soret, et al.
iScience (2025) Vol. 28, Iss. 2, pp. 111754-111754
Open Access

Integrating QSP and ML to Facilitate Drug Development and Personalized Medicine
Tongli Zhang
Handbook of experimental pharmacology (2025)
Closed Access

Low-dimensional neural ODEs and their application in pharmacokinetics
Dominic Stefan Bräm, Uri Nahum, Johannes Schropp, et al.
Journal of Pharmacokinetics and Pharmacodynamics (2023) Vol. 51, Iss. 2, pp. 123-140
Open Access | Times Cited: 11

Using machine learning surrogate modeling for faster QSP VP cohort generation
Renée C. Myers, Florian Augustin, Jérémy Huard, et al.
CPT Pharmacometrics & Systems Pharmacology (2023) Vol. 12, Iss. 8, pp. 1047-1059
Open Access | Times Cited: 9

A quantitative systems pharmacology workflow toward optimal design and biomarker stratification of atopic dermatitis clinical trials
Natacha Go, Simon Arsène, Igor Faddeenkov, et al.
Journal of Allergy and Clinical Immunology (2024) Vol. 153, Iss. 5, pp. 1330-1343
Open Access | Times Cited: 3

From Cold to Hot: Changing Perceptions and Future Opportunities for Quantitative Systems Pharmacology Modeling in Cancer Immunotherapy
Vincent Lemaire, David Bassen, Mike Reed, et al.
Clinical Pharmacology & Therapeutics (2022) Vol. 113, Iss. 5, pp. 963-972
Open Access | Times Cited: 14

Quantitative Systems Pharmacology and Machine Learning: A Match Made in Heaven or Hell?
Marcus J. Tindall, L. Cucurull-Sanchez, Hitesh Mistry, et al.
Journal of Pharmacology and Experimental Therapeutics (2023) Vol. 387, Iss. 1, pp. 92-99
Open Access | Times Cited: 8

Applications of model simulation in pharmacological fields and the problems of theoretical reliability
Yoshiaki Kariya, Masashi Honma
Drug Metabolism and Pharmacokinetics (2024) Vol. 56, pp. 100996-100996
Closed Access | Times Cited: 2

Towards a comprehensive assessment of QSP models: what would it take?
Ioannis P. Androulakis
Journal of Pharmacokinetics and Pharmacodynamics (2022) Vol. 51, Iss. 5, pp. 521-531
Closed Access | Times Cited: 11

Quantitative systems pharmacology in the age of artificial intelligence
Benjamin Ribba
CPT Pharmacometrics & Systems Pharmacology (2023) Vol. 12, Iss. 12, pp. 1823-1826
Open Access | Times Cited: 6

Life scientists improve QSP model quality and impact
Katherine Kudrycki, Christina Friedrich, Mike Reed, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 1

Opportunities for Systems Biology and Quantitative Systems Pharmacology to Address Knowledge Gaps for Drug Development in Pregnancy
Jeffrey S. Barrett, Karim Azer
The Journal of Clinical Pharmacology (2023) Vol. 63, Iss. S1
Closed Access | Times Cited: 3

Accelerating robust plausible virtual patient cohort generation by substituting ODE simulations with parameter space mapping
Thibaud Derippe, Sylvain Fouliard, Xavier Declèves, et al.
Journal of Pharmacokinetics and Pharmacodynamics (2022) Vol. 49, Iss. 6, pp. 625-644
Closed Access | Times Cited: 5

Quantitative Systems Pharmacology: A Foundation To Establish Precision Medicine–Editorial
Annabelle Ballesta, James M. Gallo
Journal of Pharmacology and Experimental Therapeutics (2023) Vol. 387, Iss. 1, pp. 27-30
Open Access | Times Cited: 2

Physiological Indirect Response Model to Omics-Powered Quantitative Systems Pharmacology Model
Aydar Uatay, Louis Gall, Linda Irons, et al.
Journal of Pharmaceutical Sciences (2023) Vol. 113, Iss. 1, pp. 11-21
Closed Access | Times Cited: 2

Coupling quantitative systems pharmacology modelling to machine learning and artificial intelligence for drug development: its pAIns and gAIns
Núria Folguera-Blasco, Florencia A. T. Boshier, Aydar Uatay, et al.
Frontiers in Systems Biology (2024) Vol. 4
Open Access

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