Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Prediction of small-molecule compound solubility in organic solvents by machine learning algorithms
Zhuyifan Ye, Defang Ouyang
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 55

Showing 1-25 of 55 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
Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges
Iman Salahshoori, Mahdi Golriz, Marcos A.L. Nobre, et al.
Journal of Molecular Liquids (2023) Vol. 395, pp. 123888-123888
Open Access | Times Cited: 48
Frontiers of molecular crystal structure prediction for pharmaceuticals and functional organic materials
Gregory J. O. Beran
Chemical Science (2023) Vol. 14, Iss. 46, pp. 13290-13312
Open Access | Times Cited: 34
Chlorine resistant polyamide desalination membrane prepared via organic-organic interfacial polymerization
Yiman He, Yuping Zhang, Liang Fan, et al.
Journal of Membrane Science (2023) Vol. 672, pp. 121444-121444
Closed Access | Times Cited: 30
Targeted Protein Degradation: Advances, Challenges, and Prospects for Computational Methods
Barmak Mostofian, Holli‐Joi Martin, Asghar M. Razavi, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 17, pp. 5408-5432
Open Access | Times Cited: 24
How can machine learning and multiscale modeling benefit ocular drug development?
Nannan Wang, Yunsen Zhang, Wei Wang, et al.
Advanced Drug Delivery Reviews (2023) Vol. 196, pp. 114772-114772
Closed Access | Times Cited: 23
A unified ML framework for solubility prediction across organic solvents
Antony D. Vassileiou, Murray N. Robertson, Bruce G. Wareham, et al.
Digital Discovery (2023) Vol. 2, Iss. 2, pp. 356-367
Open Access | Times Cited: 22
Prediction of organic compound aqueous solubility using machine learning: a comparison study of descriptor-based and fingerprints-based models
Arash Tayyebi, Ali Alshami, Zeinab Rabiei, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 21
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
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
Evolution of analytical strategies in food sciences
Gloria Domínguez‐Rodríguez, J. A. Mendiola, Elena Ibáñez
Elsevier eBooks (2025), pp. 35-67
Closed Access
FormulationAI: a novel web-based platform for drug formulation design driven by artificial intelligence
Jie Dong, Zheng Wu, Huanle Xu, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 19
Re-envisioning the design of nanomedicines: harnessing automation and artificial intelligence
Jonathan Zaslavsky, Pauric Bannigan, Christine Allen
Expert Opinion on Drug Delivery (2023) Vol. 20, Iss. 2, pp. 241-257
Closed Access | Times Cited: 17
The applications of machine learning to predict the forming of chemically stable amorphous solid dispersions prepared by hot-melt extrusion
Junhuang Jiang, Anqi Lu, Xiangyu Ma, et al.
International Journal of Pharmaceutics X (2023) Vol. 5, pp. 100164-100164
Open Access | Times Cited: 15
Research Progress and Perspectives on Pre‐Sodiation Strategies for Sodium‐Ion Batteries
Siyuan Lin, Haihan Zhang, Chengyong Shu, et al.
Advanced Functional Materials (2024)
Open Access | Times Cited: 6
Hybrid Semi-mechanistic and Machine Learning Solubility Regression Modeling for Crystallization Process Development
Gustavo Lunardon Quilló, Satyajeet Bhonsale, A. Collas, et al.
Crystal Growth & Design (2025)
Closed Access
Strategy of Coupling Artificial Intelligence with Thermodynamic Mechanism for Predicting Complex Polymer Viscosities
Siqi Wang, Gabriele Sadowski, Yuanhui Ji
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 11, pp. 4631-4643
Closed Access | Times Cited: 4
Experimental analysis and prediction of radionuclide solubility using machine learning models: Effects of organic complexing agents
Bolam Kim, Amaranadha Reddy Manchuri, Gi-Taek Oh, et al.
Journal of Hazardous Materials (2024) Vol. 469, pp. 134012-134012
Closed Access | Times Cited: 4
Predicting drug solubility in organic solvents mixtures: A machine-learning approach supported by high-throughput experimentation
Francesca Cenci, Samir Diab, Paola Ferrini, et al.
International Journal of Pharmaceutics (2024) Vol. 660, pp. 124233-124233
Open Access | Times Cited: 4
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
The applications of Machine learning (ML) in designing dry powder for inhalation by using thin-film-freezing technology
Junhuang Jiang, Han-Hsuan Peng, Zhenpei Yang, et al.
International Journal of Pharmaceutics (2022) Vol. 626, pp. 122179-122179
Closed Access | Times Cited: 14
Machine learning assisted photothermal conversion efficiency prediction of anticancer photothermal agents
Siwei Wu, Zhenxing Pan, Xiaojing Li, et al.
Chemical Engineering Science (2023) Vol. 273, pp. 118619-118619
Closed Access | Times Cited: 8
Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics Model for Preoperative Predicting the Deep Stromal Invasion in Patients with Early Cervical Cancer
Haowen Yan, Gaoting Huang, Zhihe Yang, et al.
Deleted Journal (2024) Vol. 37, Iss. 1, pp. 230-246
Open Access | Times Cited: 2
A novel strategy of coupling artificial intelligence with chemical fingerprinting to predict drug phase behaviors in complex systems
Siqi Wang, Yuanhui Ji
AIChE Journal (2024) Vol. 70, Iss. 4
Closed Access | Times Cited: 2
Solubility evaluation of palm-based Mono-diacylglycerols (MDAGs) in food grade solvent (hexane, ethanol, acetone, water) using QSPR model approach
Gina Libria Nadjamoeddin, Didah Nur Faridah, Nuri Andarwulan, et al.
Journal of Molecular Liquids (2024) Vol. 400, pp. 124531-124531
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top