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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:

Cocrystal Prediction of Bexarotene by Graph Convolution Network and Bioavailability Improvement
Xiao Fu, Yinxiang Cheng, Jian‐Rong Wang, et al.
Pharmaceutics (2022) Vol. 14, Iss. 10, pp. 2198-2198
Open Access | Times Cited: 11

Showing 11 citing articles:

Efficient cocrystal coformer screening based on a Machine learning Strategy: A case study for the preparation of imatinib cocrystal with enhanced physicochemical properties
Xiaoxiao Liang, Shiyuan Liu, Zebin Li, et al.
European Journal of Pharmaceutics and Biopharmaceutics (2024) Vol. 196, pp. 114201-114201
Closed Access | Times Cited: 6
Machine Learning-Guided Prediction of Cocrystals Using Point Cloud-Based Molecular Representation
Soroush Ahmadi, Mohammad Amin Ghanavati, Sohrab Rohani
Chemistry of Materials (2024) Vol. 36, Iss. 3, pp. 1153-1161
Closed Access | Times Cited: 5
Prediction of Solvate Based on Graph Attention Network
Shihui Sun, Jian‐Rong Wang, Lei Tang, et al.
Crystal Growth & Design (2025)
Closed Access
Exploring Coformer Substitution in Cocrystallization: Griseofulvin and Phenol Derivatives
Janine Lässer, Doris E. Braun
Crystal Growth & Design (2025) Vol. 25, Iss. 5, pp. 1688-1707
Closed Access
Speeding Up the Cocrystallization Process: Machine Learning-Combined Methods for the Prediction of Multicomponent Systems
Rebecca Birolo, Federica Bravetti, Eugenio Alladio, et al.
Crystal Growth & Design (2023) Vol. 23, Iss. 11, pp. 7898-7911
Open Access | Times Cited: 13
In silico co-crystal design: Assessment of the latest advances
Carolina von Eßen, David Luedeker
Drug Discovery Today (2023) Vol. 28, Iss. 11, pp. 103763-103763
Closed Access | Times Cited: 7
Leveraging Deep Chemical Language Processing for Co-crystal Prediction
Rebecca Birolo, Rıza Özçelik, Andrea Aramini, et al.
(2024)
Open Access
Cocrystal Prediction of Nifedipine Based on the Graph Neural Network and Molecular Electrostatic Potential Surface
Yuting Wang, Yanling Jiang, Yu Zhou, et al.
AAPS PharmSciTech (2024) Vol. 25, Iss. 5
Closed Access
Noncovalent Derivatization
John C. Warner
Elsevier eBooks (2024)
Closed Access
AI's role in pharmaceuticals: Assisting drug design from protein interactions to drug development
Solene Bechelli, Jérôme Delhommelle
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100038-100038
Open Access | Times Cited: 1
Multi-type Features Graph Neural Networks for Cocrystals Prediction using API-Coformers Interactions
Medard Edmund Mswahili, Kyuri Jo, Seung-Dong Lee, et al.
Research Square (Research Square) (2023)
Open Access
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