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:

Three machine learning models for the 2019 Solubility Challenge
John B. O. Mitchell
ADMET & DMPK (2020)
Open Access | Times Cited: 10

Showing 10 citing articles:

Recent Advances in the Application of Machine Learning to Crystal Behavior and Crystallization Process Control
Meijin Lu, Silin Rao, Hong Yue, et al.
Crystal Growth & Design (2024) Vol. 24, Iss. 12, pp. 5374-5396
Closed Access | Times Cited: 7

Findings of the Second Challenge to Predict Aqueous Solubility
Antonio Llinàs, Ioana Oprisiu, Alex Avdeef
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 10, pp. 4791-4803
Closed Access | Times Cited: 54

Application of Artificial Neural Networks to Predict the Intrinsic Solubility of Drug-Like Molecules
Elena M. Tosca, Roberta Bartolucci, Paolo Magni
Pharmaceutics (2021) Vol. 13, Iss. 7, pp. 1101-1101
Open Access | Times Cited: 24

Pilot Behavior Recognition Based on Multi-Modality Fusion Technology Using Physiological Characteristics
Yuhan Li, Ke Li, Shaofan Wang, et al.
Biosensors (2022) Vol. 12, Iss. 6, pp. 404-404
Open Access | Times Cited: 14

CrystalClear: an open, modular protocol for predicting molecular crystal growth from solution
Peter R. Spackman, Alvin J. Walisinghe, Michael W. Anderson, et al.
Chemical Science (2023) Vol. 14, Iss. 26, pp. 7192-7207
Open Access | Times Cited: 8

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

Assessing Metabolic Markers in Glioblastoma Using Machine Learning: A Systematic Review
Zachery D. Neil, Noah Pierzchajlo, Candler Boyett, et al.
Metabolites (2023) Vol. 13, Iss. 2, pp. 161-161
Open Access | Times Cited: 6

Evaluation of Predictive Solubility Models in Pharmaceutical Process Development─an Enabling Technologies Consortium Collaboration
Michael A. Lovette, Jacob Albrecht, Ravi S. Ananthula, et al.
Crystal Growth & Design (2022) Vol. 22, Iss. 9, pp. 5239-5263
Closed Access | Times Cited: 9

Towards Safer Flights: A Multi-modality Fusion Technology-based Cognitive Load Recognition Framework
Yuhan Li, Ke Li, Shaofan Wang, et al.
2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) (2022) Vol. 29, pp. 525-530
Closed Access | Times Cited: 5

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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