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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 virtual screening based on the XGBoost machine learning model
Dezhi Yang, Li Wang, Penghui Yuan, et al.
Chinese Chemical Letters (2022) Vol. 34, Iss. 8, pp. 107964-107964
Closed Access | Times Cited: 21

Showing 21 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
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
Metformin-Mediated Improvement in Solubility, Stability, and Permeability of Nonsteroidal Anti-Inflammatory Drugs
Qi An, Cheng Xing, Zhipeng Wang, et al.
Pharmaceutics (2024) Vol. 16, Iss. 3, pp. 382-382
Open Access | Times Cited: 3
Medicinal chemistry strategies in the discovery and optimization of HBV core protein allosteric modulators (2018–2022 update)
Xiaoyu Shao, Shujing Xu, Xufeng Wan, et al.
Chinese Chemical Letters (2023) Vol. 34, Iss. 11, pp. 108349-108349
Closed Access | Times Cited: 9
Machine Learning Prediction of Phosphate Adsorption on Six Different Metal-Containing Adsorbents
Yangyang Wu, Yingze Li, Ze Jiang, et al.
ACS ES&T Engineering (2023) Vol. 3, Iss. 8, pp. 1135-1146
Closed Access | Times Cited: 7
Importance of Structural Databases, Molecular Pharmacophores, Supramolecular Heterosynthons, and Artificial Intelligence–Machine Learning–Neural Network Tools in Drug Discovery
Ashwini Nangia
Crystal Growth & Design (2024) Vol. 24, Iss. 16, pp. 6888-6910
Closed Access | Times Cited: 2
Property Prediction and Structural Feature Extraction of Polyimide Materials Based on Machine Learning
Han Zhang, Haoyuan Li, Hanshen Xin, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 17, pp. 5473-5483
Closed Access | Times Cited: 7
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
Praziquantel Fifty Years on: A Comprehensive Overview of Its Solid State
Ilenia D’Abbrunzo, Giuseppe Procida, Beatrice Perissutti
Pharmaceutics (2023) Vol. 16, Iss. 1, pp. 27-27
Open Access | Times Cited: 5
Improvement of the Thermal Stability and Aqueous Solubility of Three Matrine Salts Assembled by the Similar Structure Salt Formers
Yeyang Wang, Baoxi Zhang, Wenwen Wang, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 1, pp. 94-94
Open Access | Times Cited: 1
Deep Supramolecular Language Processing for Co-crystal Prediction
Rebecca Birolo, Rıza Özçelik, Andrea Aramini, et al.
(2024)
Open Access | Times Cited: 1
Computational design of quinone electrolytes for redox flow batteries using high-throughput machine learning and theoretical calculations
Fei Wang, Jipeng Li, Zheng Liu, et al.
Frontiers in Chemical Engineering (2023) Vol. 4
Open Access | Times Cited: 2
Leveraging Deep Chemical Language Processing for Co-crystal Prediction
Rebecca Birolo, Rıza Özçelik, Andrea Aramini, et al.
(2024)
Open Access
Recent advances in pharmaceutical cocrystals of theophylline
Y.Z. Jia, Dezhi Yang, Wenwen Wang, et al.
Natural Products and Bioprospecting (2024) Vol. 14, Iss. 1
Open Access
Machine learning for predicting separation factors of chiral diphosphine ligands in chiral extraction of amino acid and mandelic acid enantiomers
Yingzi Peng, Wei Zhou, Xiaoliang Cao, et al.
Separation and Purification Technology (2024) Vol. 355, pp. 129797-129797
Closed Access
Regulating the Physical and Chemical Properties of Gefitinib and Its Positional Isomer Through Salt Formation
Shuang Li, Xia Zhou, Wenjing Dong, et al.
Journal of Molecular Structure (2024) Vol. 1322, pp. 140328-140328
Closed Access
Prioritizing Computational Cocrystal Prediction Methods for Experimental Researchers: A Review to Find Efficient, Cost-Effective, and User-Friendly Approaches
Beáta Lemli, Szilárd Pál, Ala’ Salem, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 12045-12045
Open Access
The Prediction of Gold Futures Prices Based on BO-XGBoost-PSO-TCN-BiGRU
爱玲 谷
(2024) Vol. 13, Iss. 06, pp. 2249-2260
Closed Access
Data-Driven Prediction of the Formation of Co-Amorphous Systems
Elisabeth Fink, Michael Brunsteiner, Stefan Mitsche, et al.
Pharmaceutics (2023) Vol. 15, Iss. 2, pp. 347-347
Open Access | Times Cited: 1
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