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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:

SolTranNet–A Machine Learning Tool for Fast Aqueous Solubility Prediction
Paul Francoeur, David Ryan Koes
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 6, pp. 2530-2536
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Machine learning enables interpretable discovery of innovative polymers for gas separation membranes
Jason Yang, Lei Tao, Jinlong He, et al.
Science Advances (2022) Vol. 8, Iss. 29
Open Access | Times Cited: 126
Artificial Intelligence in Pharmaceutical Sciences
Mingkun Lu, Jiayi Yin, Qi Zhu, et al.
Engineering (2023) Vol. 27, pp. 37-69
Open Access | Times Cited: 60
Machine Learning Empowering Drug Discovery: Applications, Opportunities and Challenges
Xin Qi, Yuanchun Zhao, Zhuang Qi, et al.
Molecules (2024) Vol. 29, Iss. 4, pp. 903-903
Open Access | Times Cited: 17
Predicting Solubility Limits of Organic Solutes for a Wide Range of Solvents and Temperatures
Florence H. Vermeire, Yunsie Chung, William H. Green
Journal of the American Chemical Society (2022) Vol. 144, Iss. 24, pp. 10785-10797
Open Access | Times Cited: 55
Machine learning prediction on the fractional free volume of polymer membranes
Lei Tao, Jinlong He, Tom Arbaugh, et al.
Journal of Membrane Science (2022) Vol. 665, pp. 121131-121131
Open Access | Times Cited: 44
Attention-Based Graph Neural Network for Molecular Solubility Prediction
Waqar Ahmad, Hilal Tayara, Kil To Chong
ACS Omega (2023) Vol. 8, Iss. 3, pp. 3236-3244
Open Access | Times Cited: 29
Machine Learning Models for Predicting Molecular UV–Vis Spectra with Quantum Mechanical Properties
Andrew McNaughton, Rajendra P. Joshi, Carter Knutson, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 5, pp. 1462-1471
Open Access | Times Cited: 28
Open-Source Machine Learning in Computational Chemistry
Alexander Hagg, Karl N. Kirschner
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4505-4532
Open Access | Times Cited: 26
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
Multimodal fused deep learning for drug property prediction: Integrating chemical language and molecular graph
Xiaohua Lu, Liangxu Xie, Lei Xu, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1666-1679
Open Access | Times Cited: 7
Machine learning for flow batteries: opportunities and challenges
Tianyu Li, Changkun Zhang, Xianfeng Li
Chemical Science (2022) Vol. 13, Iss. 17, pp. 4740-4752
Open Access | Times Cited: 33
Artificial Intelligence-Based Quantitative Structure–Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity
Natalia Czub, Jakub Szlęk, Adam Pacławski, et al.
Molecular Pharmaceutics (2023) Vol. 20, Iss. 5, pp. 2545-2555
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
Prediction of Thermodynamic Properties of C60-Based Fullerenols Using Machine Learning
Guiping Yang, Shu Zhang, Zhao Pei, et al.
Journal of Chemical Theory and Computation (2025)
Closed Access
Utilizing Machine Learning to Advance Battery Materials Design: Challenges and Prospects
Souvik Manna, Poulami Paul, Surya Sekhar Manna, et al.
Chemistry of Materials (2025)
Closed Access
Blinded Predictions and Post Hoc Analysis of the Second Solubility Challenge Data: Exploring Training Data and Feature Set Selection for Machine and Deep Learning Models
Jonathan G. M. Conn, James W. Carter, Justin J. A. Conn, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 4, pp. 1099-1113
Open Access | Times Cited: 13
Explaining molecular properties with natural language
Heta A. Gandhi, Andrew Dickson White
(2022)
Open Access | Times Cited: 21
Artificial intelligence and cheminformatics tools: a contribution to the drug development and chemical science
Ifra Saifi, Basharat Ahmad Bhat, Syed Suhail Hamdani, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 12, pp. 6523-6541
Closed Access | Times Cited: 11
Development of scoring-assisted generative exploration (SAGE) and its application to dual inhibitor design for acetylcholinesterase and monoamine oxidase B
Hocheol Lim
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
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
Artificial intelligence for small molecule anticancer drug discovery
Lihui Duo, Yu Liu, Jianfeng Ren, et al.
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 8, pp. 933-948
Closed Access | Times Cited: 3
A Machine Learning Approach for the Prediction of Aqueous Solubility of Pharmaceuticals: A Comparative Model and Dataset Analysis
Mohammad Amin Ghanavati, Soroush Ahmadi, Sohrab Rohani
Digital Discovery (2024)
Open Access | Times Cited: 3
ConfSolv: Prediction of Solute Conformer-Free Energies across a Range of Solvents
Lagnajit Pattanaik, Angiras Menon, Volker Settels, et al.
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 47, pp. 10151-10170
Closed Access | Times Cited: 9
Solubility Characteristics of Acetaminophen and Phenacetin in Binary Mixtures of Aqueous Organic Solvents: Experimental and Deep Machine Learning Screening of Green Dissolution Media
Piotr Cysewski, Tomasz Jeliński, Maciej Przybyłek, et al.
Pharmaceutics (2022) Vol. 14, Iss. 12, pp. 2828-2828
Open Access | Times Cited: 15
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