Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Application of machine learning techniques to the analysis and prediction of drug pharmacokinetics
Ryosaku Ota, Fumiyoshi Yamashita
Journal of Controlled Release (2022) Vol. 352, pp. 961-969
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

The Integration of Artificial Intelligence into Clinical Practice
Vangelis Karalis
Applied Biosciences (2024) Vol. 3, Iss. 1, pp. 14-44
Open Access | Times Cited: 75
Progress of machine learning in the application of small molecule druggability prediction
Junyao Li, Jianmei Zhang, Rui Guo, et al.
European Journal of Medicinal Chemistry (2025) Vol. 285, pp. 117269-117269
Closed Access | Times Cited: 1
Construction of an Interpretable Model of the Risk of Post-Traumatic Brain Infarction Based on Machine Learning Algorithms: A Retrospective Study
Shaojie Li, Hongjian Li, Baofang Wu, et al.
Journal of Multidisciplinary Healthcare (2025) Vol. Volume 18, pp. 157-170
Open Access | Times Cited: 1
Antiviral therapy can effectively suppress irAEs in HBV positive hepatocellular carcinoma treated with ICIs: validation based on multi machine learning
Shuxian Pan, Zibing Wang
Frontiers in Immunology (2025) Vol. 15
Open Access | Times Cited: 1
Prediction model for spinal cord injury in spinal tuberculosis patients using multiple machine learning algorithms: a multicentric study
Sitan Feng, Shujiang Wang, Chong Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Applications of Artificial Intelligence in Drug Repurposing
Zhaoman Wan, Xinran Sun, Yi Li, et al.
Advanced Science (2025)
Open Access
Chemical risk assessment in food animals via physiologically based pharmacokinetic modeling – Part II: Environmental pollutants on animal and human health assessments
Kun Mi, Zhoumeng Lin
Environment International (2025), pp. 109372-109372
Open Access
Application of machine learning techniques in population pharmacokinetics/pharmacodynamics modeling
Mizuki Uno, Yuta Nakamaru, Fumiyoshi Yamashita
Drug Metabolism and Pharmacokinetics (2024) Vol. 56, pp. 101004-101004
Closed Access | Times Cited: 4
Machine-learning model to predict the tacrolimus concentration and suggest optimal dose in liver transplantation recipients: a multicenter retrospective cohort study
Soo Bin Yoon, Jeong‐Moo Lee, Chul-Woo Jung, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Will AI Replace Physicians? A Review of Artificial Intelligence Applications in Kidney Transplantation
Weijie Lai, Jianliang Min, Linjie Peng
Organ medicine. (2025)
Open Access
Deep Learning Methods Applied to Drug Concentration Prediction of Olanzapine
Richard Khusial, Robert R. Bies, Ayman Akil
Pharmaceutics (2023) Vol. 15, Iss. 4, pp. 1139-1139
Open Access | Times Cited: 8
Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients
Guodong Li, Yubo Sun, Liping Zhu
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 2
Pharmacokinetic–Pharmacodynamic Analysis of pH-Responsive Doxorubicin-Releasing Micelles with Anticancer Activity
Shugo Yamashita, Azusa Imanishi, S Ueki, et al.
Molecular Pharmaceutics (2024) Vol. 21, Iss. 7, pp. 3173-3185
Closed Access | Times Cited: 2
Machine Learning Approach in Dosage Individualization of Isoniazid for Tuberculosis
Bo-Hao Tang, Xinfang Zhang, Shu-Meng Fu, et al.
Clinical Pharmacokinetics (2024) Vol. 63, Iss. 7, pp. 1055-1063
Closed Access | Times Cited: 2
Unleashing the Future: The Revolutionary Role of Machine Learning and Artificial Intelligence in Drug Discovery
Manoj Kumar Yadav, Vandana Dahiya, Manish Tripathi, et al.
European Journal of Pharmacology (2024) Vol. 985, pp. 177103-177103
Closed Access | Times Cited: 2
Advances in QSAR through artificial intelligence and machine learning methods
Chandrabose Selvaraj, Elakkiya Elango, Paulraj Prabhu, et al.
Elsevier eBooks (2023), pp. 101-116
Closed Access | Times Cited: 5
Adapting physiologically-based pharmacokinetic models for machine learning applications
Sohaib Habiballah, Brad Reisfeld
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
An insight into pharmacokinetics and dose optimization of antimicrobials agents in elderly patients
Guanshuang Fu, Weijia Sun, Zhaoyi Tan, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 1
Exploring Transformer Model in Longitudinal Pharmacokinetic/Pharmacodynamic Analyses and Comparing with Alternative Natural Language Processing Models
Yiming Cheng, Hongxiang Hu, Xin Dong, et al.
Journal of Pharmaceutical Sciences (2024) Vol. 113, Iss. 5, pp. 1368-1375
Closed Access | Times Cited: 1
Machine Learning for Predicting Stillbirth: A Systematic Review
Qingyuan Li, Pan Li, Junyu Chen, et al.
Reproductive Sciences (2024)
Closed Access | Times Cited: 1
Risk of intraoperative hemorrhage during cesarean scar ectopic pregnancy surgery: development and validation of an interpretable machine learning prediction model
Chen Xin-li, Huan Zhang, Dong Guo, et al.
EClinicalMedicine (2024) Vol. 78, pp. 102969-102969
Open Access | Times Cited: 1
Web Services for the Prediction of ADMET Parameters Relevant to the Design of Neuroprotective Drugs
Valentin O. Perkin, Grigory V. Antonyan, Eugene V. Radchenko, et al.
Neuromethods (2023), pp. 465-485
Closed Access | Times Cited: 3
Estimation of linezolid exposure in patients with hepatic impairment using machine learning based on a population pharmacokinetic model
Ru Liao, Lihong Chen, Xiaoliang Cheng, et al.
European Journal of Clinical Pharmacology (2024) Vol. 80, Iss. 8, pp. 1241-1251
Closed Access
Prediction of Multi-Pharmacokinetics Property in Multi-Species: Bayesian Neural Network Stacking Model with Uncertainty
Yuanyuan Zhang, Zhiyin Xie, Xiao Fu, et al.
Molecular Pharmaceutics (2024)
Closed Access
Artificial Intelligence and Machine Learning Applications to Pharmacokinetic Modeling and Dose Prediction of Antibiotics: A Scoping Review
Iria Varela-Rey, Enrique Bandín‐Vilar, Francisco José Toja-Camba, et al.
Antibiotics (2024) Vol. 13, Iss. 12, pp. 1203-1203
Open Access
Page 1 - Next Page

Scroll to top