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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:

Evaluation of Deep Learning Architectures for Aqueous Solubility Prediction
Gihan Panapitiya, Michael Girard, Aaron Hollas, et al.
ACS Omega (2022) Vol. 7, Iss. 18, pp. 15695-15710
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Artificial intelligence for drug discovery: Resources, methods, and applications
Wei Chen, Xuesong Liu, Sanyin Zhang, et al.
Molecular Therapy — Nucleic Acids (2023) Vol. 31, pp. 691-702
Open Access | Times Cited: 117
Revolutionizing Drug Discovery: A Comprehensive Review of AI Applications
Rushikesh Dhudum, Ankit Ganeshpurkar, Atmaram Pawar
Drugs and Drug Candidates (2024) Vol. 3, Iss. 1, pp. 148-171
Open Access | Times Cited: 22
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
Artificial intelligence-enhanced solubility predictions of greenhouse gases in ionic liquids: A review
Bilal Kazmi, Syed Ali Ammar Taqvi, Dagmar Juchelkov, et al.
Results in Engineering (2025) Vol. 25, pp. 103851-103851
Closed Access | Times Cited: 1
Piquing artificial intelligence towards drug discovery: Tools, techniques, and applications
Peter Chinedu Agu, Chidiebere Nwiboko Obulose
Drug Development Research (2024) Vol. 85, Iss. 2
Closed Access | Times Cited: 7
Machine Learning with Enormous “Synthetic” Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks
Igor V. Volgin, Pavel A. Batyr, Andrey Matseevich, et al.
ACS Omega (2022) Vol. 7, Iss. 48, pp. 43678-43691
Open Access | Times Cited: 30
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
Solubility of dapsone in deep eutectic solvents: Experimental analysis, molecular insights and machine learning predictions
Tomasz Jeliński, Maciej Przybyłek, Rafał Różalski, et al.
Polymers in Medicine (2024) Vol. 54, Iss. 1, pp. 15-25
Open Access | Times Cited: 5
Artificial Intelligence Assisted Pharmaceutical Crystallization
Zuoxuan Zhu, Yuan Zhang, Zhixuan Wang, et al.
Crystal Growth & Design (2024) Vol. 24, Iss. 10, pp. 4245-4270
Closed Access | Times Cited: 5
Natural Language Processing Methods for the Study of Protein–Ligand Interactions
J.H. Michels, Ramya Bandarupalli, Ahmad Akbari, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process
Dong Jian-guo, Xiaona Liu, Ruixian Su, et al.
ACS Omega (2025) Vol. 10, Iss. 2, pp. 2269-2279
Open Access
Prediction of hydration energies of adsorbates at Pt(111) and liquid water interfaces using machine learning
Jiexin Shi, Xiaohong Zhang, Venkata Rohit Punyapu, et al.
The Journal of Chemical Physics (2025) Vol. 162, Iss. 8
Closed Access
Online OCHEM multi-task model for solubility and lipophilicity prediction of platinum complexes
Nesma Mousa, Hristo P. Varbanov, K. Vidya, et al.
Journal of Inorganic Biochemistry (2025), pp. 112890-112890
Open 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
Evaluating uncertainty-based active learning for accelerating the generalization of molecular property prediction
Tianzhixi Yin, Gihan Panapitiya, Elizabeth Coda, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 12
Experimental and Theoretical Insights into the Intermolecular Interactions in Saturated Systems of Dapsone in Conventional and Deep Eutectic Solvents
Piotr Cysewski, Tomasz Jeliński, Maciej Przybyłek
Molecules (2024) Vol. 29, Iss. 8, pp. 1743-1743
Open Access | Times Cited: 4
Free Energy Perturbation Approach for Accurate Crystalline Aqueous Solubility Predictions
Richard S. Hong, Ana V. Rojas, Rajni M. Bhardwaj, et al.
Journal of Medicinal Chemistry (2023) Vol. 66, Iss. 23, pp. 15883-15893
Closed Access | Times Cited: 10
Descriptors of water aggregation
Garrett D. Santis, Kristina M. Herman, Joseph P. Heindel, et al.
The Journal of Chemical Physics (2024) Vol. 160, Iss. 5
Closed Access | Times Cited: 3
Physics-Guided Continual Learning for Predicting Emerging Aqueous Organic Redox Flow Battery Material Performance
Yucheng Fu, Amanda A. Howard, Chao Zeng, et al.
ACS Energy Letters (2024) Vol. 9, Iss. 6, pp. 2767-2774
Open Access | Times Cited: 3
Thermal stability prediction of copolymerized polyimides via an interpretable transfer learning model
Yu Zhang, Yating Fang, Ling Li, et al.
Journal of Materials Informatics (2024) Vol. 4, Iss. 2
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
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
Enhancing Hansen Solubility Predictions with Molecular and Graph-Based Approaches
Darja Cvetković, Marija Mitrović, Aleksandar Bogojević, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 251, pp. 105168-105168
Closed Access | Times Cited: 2
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