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:

Optimization of tamoxifen solubility in carbon dioxide supercritical fluid and investigating other molecular targets using advanced artificial intelligence models
Saad M. Alshahrani, Abdullah Alshetaili, Munerah M. Alfadhel, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9

Showing 9 citing articles:

Predicting the solubility of drugs in supercritical carbon dioxide using machine learning and atomic contribution
Ahmadreza Roosta, Feridun Esmaeilzadeh, Reza Haghbakhsh
European Journal of Pharmaceutics and Biopharmaceutics (2025) Vol. 211, pp. 114720-114720
Closed Access

Computational investigations on anti-cancer drug solubility in supercritical solvent for efficient cancer therapy
Ziming Wang, Yu Wan, Hongxia Li, et al.
Journal of Molecular Liquids (2024) Vol. 404, pp. 124864-124864
Closed Access | Times Cited: 3

Recent advancements in biomass to bioenergy management and carbon capture through artificial intelligence integrated technologies to achieve carbon neutrality
Shivani Chauhan, Preeti Solanki, Chayanika Putatunda, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 73, pp. 104123-104123
Closed Access | Times Cited: 3

UNIFAC and Wilson models to correlate solubility of pharmaceutical compounds in supercritical carbon dioxide
Vikram Ramalingam, Chandrasekhar Garlapati
Fluid Phase Equilibria (2024) Vol. 586, pp. 114191-114191
Closed Access | Times Cited: 2

Development of a novel machine learning approach to optimize important parameters for improving the solubility of an anti-cancer drug within green chemistry solvent
Muteb Alanazi, Bader Huwaimel, Jowaher Alanazi, et al.
Case Studies in Thermal Engineering (2023) Vol. 49, pp. 103273-103273
Open Access | Times Cited: 5

Simulation and Optimization: A New Direction in Supercritical Technology Based Nanomedicine
Yulan Huang, Yating Zheng, Xiaowei Lu, et al.
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1404-1404
Open Access | Times Cited: 4

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