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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:

ADME Prediction with KNIME: In silico aqueous solubility models based on supervised recursive machine learning approaches
Gabriela Falcón-Cano, Christophe Molina, Miguel Ángel Cabrera‐Pérez
ADMET & DMPK (2020)
Open Access | Times Cited: 24

Showing 24 citing articles:

Advances in artificial intelligence for drug delivery and development: A comprehensive review
Amol D. Gholap, Md Jasim Uddin, Md. Faiyazuddin, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108702-108702
Closed Access | Times Cited: 26
Alvascience: A New Software Suite for the QSAR Workflow Applied to the Blood–Brain Barrier Permeability
Andrea Mauri, Matteo Bertola
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 21, pp. 12882-12882
Open Access | Times Cited: 49
The Trends and Future Prospective of In Silico Models from the Viewpoint of ADME Evaluation in Drug Discovery
Hiroshi Komura, Reiko Watanabe, Kenji Mizuguchi
Pharmaceutics (2023) Vol. 15, Iss. 11, pp. 2619-2619
Open Access | Times Cited: 26
In silico Study of Antiviral Activity of Polyphenol Compounds from Ocimum basilicum by Molecular Docking, ADMET, and Drug-Likeness Analysis
Dikdik Kurnia, Salsabila Aqila Putri, Sefren Geiner Tumilaar, et al.
Advances and Applications in Bioinformatics and Chemistry (2023) Vol. Volume 16, pp. 37-47
Open Access | Times Cited: 15
Building Machine Learning Small Molecule Melting Points and Solubility Models Using CCDC Melting Points Dataset
Xiangwei Zhu, Valery Polyakov, Krishna Bajjuri, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 10, pp. 2948-2959
Closed Access | Times Cited: 15
Will we ever be able to accurately predict solubility?
Pierre Llompart, Claire Minoletti, Shamkhal Baybekov, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6
Pushing the limits of solubility prediction via quality-oriented data selection
Murat Cihan Sorkun, J. M. V. A. Koelman, Süleyman Er
iScience (2020) Vol. 24, Iss. 1, pp. 101961-101961
Open Access | Times Cited: 43
Constructor Development: Predicting Object Communication Errors
Abdul Majid Soomro, Awad Bin Naeem, Biswaranjan Senapati, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 14
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
A new workflow for the effective curation of membrane permeability data from open ADME information
Tsuyoshi Esaki, Tomoki Yonezawa, Kazuyoshi Ikeda
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Phenolic Compounds from Ocimum basilicum Revealed as Antibacterial by Experimental and Computational Screening‐Based Studies against Oral Infections
Salsabila Aqila Putri, Euis Julaeha, Natsuko Kagawa, et al.
Journal of Chemistry (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 3
Multi-combined QSAR, molecular docking, molecular dynamics simulation, and ADMET of Flavonoid derivatives as potent cholinesterase inhibitors
Hatim Soufi, Mohamed Moussaoui, Soukayna Baammi, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 12, pp. 6027-6041
Open Access | Times Cited: 9
Intrinsic Aqueous Solubility: Mechanistically Transparent Data-Driven Modeling of Drug Substances
Mare Oja, Sulev Sild, Geven Piir, et al.
Pharmaceutics (2022) Vol. 14, Iss. 10, pp. 2248-2248
Open Access | Times Cited: 12
Machine learning small molecule properties in drug discovery
Nikolai Schapin, Maciej Majewski, Alejandro Varela‐Rial, et al.
Artificial Intelligence Chemistry (2023) Vol. 1, Iss. 2, pp. 100020-100020
Open Access | Times Cited: 6
Advances in Modeling Approaches for Oral Drug Delivery: Artificial Intelligence, Physiologically Based Pharmacokinetic, and First-Principle Models
Yehuda Arav
(2024)
Open Access | Times Cited: 1
Advances in Modeling Approaches for Oral Drug Delivery: Artificial Intelligence, Physiologically-Based Pharmacokinetics, and First-Principles Models
Yehuda Arav
Pharmaceutics (2024) Vol. 16, Iss. 8, pp. 978-978
Open Access | Times Cited: 1
Antifungal Constituents of Piper crocatum and Their Activities as Ergosterol Biosynthesis Inhibitors Discovered via In Silico Study Using ADMET and Drug-Likeness Analysis
Tessa Siswina, Mia Miranti, Dadan Sumiarsa, et al.
Molecules (2023) Vol. 28, Iss. 23, pp. 7705-7705
Open Access | Times Cited: 4
Isometric Stratified Ensembles: A Partial and Incremental Adaptive Applicability Domain and Consensus-Based Classification Strategy for Highly Imbalanced Data Sets with Application to Colloidal Aggregation
Christophe Molina, Lilia Ait-Ouarab, Hervé Minoux
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 8, pp. 1849-1862
Closed Access | Times Cited: 5
ADME prediction with KNIME: A retrospective contribution to the second “Solubility Challenge”
Gabriela Falcón-Cano, Christophe Molina, Miguel Ángel Cabrera‐Pérez
ADMET & DMPK (2021)
Open Access | Times Cited: 5
Advances in Modeling Approaches for Oral Drug Delivery: Artificial Intelligence, Physiologically Based Pharmacokinetic, and First-Principal Models
Yehuda Arav
(2024)
Open Access
Exploring the Inhibitory Potential of M. pendans Compounds Against N‐Acetylglucosamine (Mur) Receptor: In Silico Insights Into Antibacterial Activity and Drug‐Likeness
Meirina Gartika, Sefren Geiner Tumilaar, Hendra Dian Adhita Dharsono, et al.
The Scientific World JOURNAL (2024) Vol. 2024, Iss. 1
Open Access
Integration of In Silico, In Vitro and In Situ Tools for the Preformulation and Characterization of a Novel Cardio-Neuroprotective Compound during the Early Stages of Drug Development
Cláudia C. Miranda, Alejandro Ruiz-Picazo, Paula Pomares, et al.
Pharmaceutics (2022) Vol. 14, Iss. 1, pp. 182-182
Open Access | Times Cited: 2
A New Workflow for the Effective Curation of Membrane Permeability Data from Open ADME Information
Tsuyoshi Esaki, Tomoki Yonezawa, Kazuyoshi Ikeda
Research Square (Research Square) (2023)
Open Access
Strategies of solubility enhancement and perspectives in solubility measurements of pharmaceutical compounds
Christel A. S. Bergström, Antonio Llinàs
ADMET & DMPK (2020) Vol. 8, Iss. 3, pp. 176-179
Open Access
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