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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:

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
Xiting Wang, Meng Liu, Lan Zhang, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 10, pp. 4603-4613
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Geometric deep learning on molecular representations
Kenneth Atz, Francesca Grisoni, Gisbert Schneider
Nature Machine Intelligence (2021) Vol. 3, Iss. 12, pp. 1023-1032
Closed Access | Times Cited: 230
SolPredictor: Predicting Solubility with Residual Gated Graph Neural Network
Waqar Ahmad, Hilal Tayara, Hyun Joo Shim, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 2, pp. 715-715
Open Access | Times Cited: 10
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
ADMET evaluation in drug discovery: 21. Application and industrial validation of machine learning algorithms for Caco-2 permeability prediction
Dong Wang, Jieyu Jin, Guqin Shi, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
A decade of machine learning-based predictive models for human pharmacokinetics: Advances and challenges
Mohd Danishuddin, Vikas Kumar, Mohammad Faheem, et al.
Drug Discovery Today (2021) Vol. 27, Iss. 2, pp. 529-537
Closed Access | Times Cited: 43
Improved GNNs for Log D7.4 Prediction by Transferring Knowledge from Low-Fidelity Data
Yanjing Duan, Li Fu, Xiaochen Zhang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 8, pp. 2345-2359
Closed Access | Times Cited: 11
Another string to your bow: machine learning prediction of the pharmacokinetic properties of small molecules
Davide Bassani, Neil Parrott, Nenad Manevski, et al.
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 6, pp. 683-698
Open Access | Times Cited: 3
Predicting ADMET Properties from Molecule SMILE: A Bottom-Up Approach Using Attention-Based Graph Neural Networks
Alessandro De Carlo, Davide Ronchi, Marco Piastra, et al.
Pharmaceutics (2024) Vol. 16, Iss. 6, pp. 776-776
Open Access | Times Cited: 3
Reliable Prediction of Caco-2 Permeability by Supervised Recursive Machine Learning Approaches
Gabriela Falcón-Cano, Christophe Molina, Miguel Ángel Cabrera‐Pérez
Pharmaceutics (2022) Vol. 14, Iss. 10, pp. 1998-1998
Open Access | Times Cited: 18
Predict Ionization Energy of Molecules Using Conventional and Graph-Based Machine Learning Models
Yufeng Liu, Zhenyu Li
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 3, pp. 806-814
Closed Access | Times Cited: 9
Predicting Pharmacokinetics of Drugs Using Artificial Intelligence Tools: A Systematic Review
Mahnaz Ahmadi, Bahareh Alizadeh, Seyed Mohammad Ayyoubzadeh, et al.
European Journal of Drug Metabolism and Pharmacokinetics (2024) Vol. 49, Iss. 3, pp. 249-262
Closed Access | Times Cited: 2
ADMET property prediction via multi-task graph learning under adaptive auxiliary task selection
Bing-Xue Du, Yi Xu, Siu‐Ming Yiu, et al.
iScience (2023) Vol. 26, Iss. 11, pp. 108285-108285
Open Access | Times Cited: 6
MTGL-ADMET: A Novel Multi-task Graph Learning Framework for ADMET Prediction Enhanced by Status-Theory and Maximum Flow
Bing-Xue Du, Yi Xu, Siu‐Ming Yiu, et al.
Lecture notes in computer science (2023), pp. 85-103
Closed Access | Times Cited: 5
Random Forest Model Prediction of Compound Oral Exposure in the Mouse
Haseeb Mughal, Han Wang, Matthew Zimmerman, et al.
ACS Pharmacology & Translational Science (2021) Vol. 4, Iss. 1, pp. 338-343
Open Access | Times Cited: 11
Molecular Representations in Machine-Learning-Based Prediction of PK Parameters for Insulin Analogs
Kasper A. Einarson, Kristian Moss Bendtsen, Kang Li, et al.
ACS Omega (2023) Vol. 8, Iss. 26, pp. 23566-23578
Open Access | Times Cited: 4
Deep fusion learning facilitates anatomical therapeutic chemical recognition in drug repurposing and discovery
Xiting Wang, Meng Liu, Shujun Zhang, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 9
A Study on the Mechanism of Milkvetch Root in the Treatment of Diabetic Nephropathy Based on Network Pharmacology
Chunli Piao, Qi Zhang, De Jin, et al.
Evidence-based Complementary and Alternative Medicine (2020) Vol. 2020, Iss. 1
Open Access | Times Cited: 9
Advances in Computational Approaches for Estimating Passive Permeability in Drug Discovery
Austen Bernardi, William F. Bennett, Stewart He, et al.
Membranes (2023) Vol. 13, Iss. 11, pp. 851-851
Open Access | Times Cited: 2
Elucidating impacts of partitioning and transmembrane permeability on absorption of chemicals in human gastrointestinal tract
Shenghong Wang, Zhizhen Zhang, Dingsheng Li, et al.
Environment International (2024) Vol. 193, pp. 109108-109108
Open Access
Conformalized Graph Learning for Molecular ADMET Property Prediction and Reliable Uncertainty Quantification
Peiyao Li, Lan Hua, Zhechao Ma, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
Application of Machine Learning Technology in the Prediction of ADME- Related Pharmacokinetic Parameters
Ying Wang, Yonghua Zhan, Changhu Liu, et al.
Current Medicinal Chemistry (2022) Vol. 30, Iss. 17, pp. 1945-1962
Closed Access | Times Cited: 3
Applications of Deep Learning in Healthcare: A Systematic Analysis
Ishani Kathuria, Madhulika Bhatia, Anchal Garg, et al.
Lecture notes in electrical engineering (2023), pp. 385-399
Closed Access | Times Cited: 1
AI's role in pharmaceuticals: Assisting drug design from protein interactions to drug development
Solene Bechelli, Jérôme Delhommelle
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100038-100038
Open Access | Times Cited: 1
Geometric Deep Learning on Molecular Representations
Kenneth Atz, Francesca Grisoni, Gisbert Schneider
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 3
Molecular Mechanism of Salvia miltiorrhiza Bunge in Treating Cerebral Infarction
Xietao Ye, Jiali Liu, Xinyao Yuan, et al.
Evidence-based Complementary and Alternative Medicine (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 1
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