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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:

Neural simulation and experimental investigation of Chloroquine solubility in supercritical solvent
Yan Cao, Afrasyab Khan, Samyar Zabihi, et al.
Journal of Molecular Liquids (2021) Vol. 333, pp. 115942-115942
Closed Access | Times Cited: 19

Showing 19 citing articles:

Computational prediction of drug solubility in supercritical carbon dioxide: Thermodynamic and artificial intelligence modeling
Hoang Chinh Nguyen, Fawzia Alamray, Mehnaz Kamal, et al.
Journal of Molecular Liquids (2022) Vol. 354, pp. 118888-118888
Closed Access | Times Cited: 41
Solubility of buprenorphine hydrochloride in supercritical carbon dioxide: Study on experimental measuring and thermodynamic modeling
Gholamhossein Sodeifian, Maryam Arbab Nooshabadi, Fariba Razmimanesh, et al.
Arabian Journal of Chemistry (2023) Vol. 16, Iss. 10, pp. 105196-105196
Open Access | Times Cited: 25
Increasing solubility of phenytoin and raloxifene drugs: Application of supercritical CO2 technology
Behrouz Notej, Hamidreza Bagheri, Fahad Alsaikhan, et al.
Journal of Molecular Liquids (2023) Vol. 373, pp. 121246-121246
Closed Access | Times Cited: 24
Applications of machine learning in supercritical fluids research
Lucien Roach, Gian‐Marco Rignanese, Arnaud Erriguible, et al.
The Journal of Supercritical Fluids (2023) Vol. 202, pp. 106051-106051
Open Access | Times Cited: 23
Machine learning based simulation of an anti-cancer drug (busulfan) solubility in supercritical carbon dioxide: ANFIS model and experimental validation
Huimin Zhu, Liwei Zhu, Zihong Sun, et al.
Journal of Molecular Liquids (2021) Vol. 338, pp. 116731-116731
Closed Access | Times Cited: 43
Machine learning model for prediction of drug solubility in supercritical solvent: Modeling and experimental validation
Feifei An, Biju Theruvil Sayed, Rosario Mireya Romero‐Parra, et al.
Journal of Molecular Liquids (2022) Vol. 363, pp. 119901-119901
Closed Access | Times Cited: 30
Prediction of busulfan solubility in supercritical CO2 using tree-based and neural network-based methods
Zhou Tianhao, Hasan Sh. Majdi, Dmitry Olegovich Bokov, et al.
Journal of Molecular Liquids (2022) Vol. 351, pp. 118630-118630
Closed Access | Times Cited: 22
A critical review on the particle generation and other applications of rapid expansion of supercritical solution
Rahul Kumar, Amit K. Thakur, Nilanjana Banerjee, et al.
International Journal of Pharmaceutics (2021) Vol. 608, pp. 121089-121089
Closed Access | Times Cited: 31
Modeling and computational study on prediction of pharmaceutical solubility in supercritical CO2 for manufacture of nanomedicine for enhanced bioavailability
Walid Kamal Abdelbasset, Safaa M. Elkholi, Khadiga Ahmed Ismail, et al.
Journal of Molecular Liquids (2022) Vol. 359, pp. 119306-119306
Closed Access | Times Cited: 20
Developing an accurate empirical correlation for predicting anti-cancer drugs’ dissolution in supercritical carbon dioxide
Fardad Faress, Amin Yari, Fereshteh Rajabi Kouchi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 20
Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model
Maryam Najmi, Mohamed Arselene Ayari, Hamidreza Sadeghsalehi, et al.
Pharmaceutics (2022) Vol. 14, Iss. 8, pp. 1632-1632
Open Access | Times Cited: 19
QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide
Imane Euldji, Cherif Si‐Moussa, Mabrouk Hamadache, et al.
Molecular Informatics (2022) Vol. 41, Iss. 10
Closed Access | Times Cited: 17
Development of machine learning model and analysis study of drug solubility in supercritical solvent for green technology development
Evgeniy V. Kostyrin, Vadim V. Ponkratov, Ahmed Salah Al-Shati
Arabian Journal of Chemistry (2022) Vol. 15, Iss. 12, pp. 104346-104346
Open Access | Times Cited: 16
Medium Gaussian SVM, Wide Neural Network and stepwise linear method in estimation of Lornoxicam pharmaceutical solubility in supercritical solvent
Tao Wang, Chia‐Hung Su
Journal of Molecular Liquids (2021) Vol. 349, pp. 118120-118120
Closed Access | Times Cited: 19
Enhancing drugs bioavailability using nanomedicine approach: Predicting solubility of Tolmetin in supercritical solvent via advanced computational techniques
Mohammed A. S. Abourehab, Sameer Alshehri, Bader Huwaimel, et al.
Journal of Molecular Liquids (2022) Vol. 365, pp. 120103-120103
Closed Access | Times Cited: 11
An advanced computational method for studying drug nanonization using green supercritical-based processing for improvement of pharmaceutical bioavailability in aqueous media
Hua Xiao Li, Uday Abdul‐Reda Hussein, Ibrahem Waleed, et al.
Journal of Molecular Liquids (2023) Vol. 381, pp. 121805-121805
Closed Access | Times Cited: 4
Advancing nanomedicine production via green method: Modeling and simulation of pharmaceutical solubility at different temperatures and pressures
Hanyi Song, Hua Shao, Ying Zhang, et al.
Journal of Molecular Liquids (2024) Vol. 411, pp. 125806-125806
Closed Access | Times Cited: 1
Capabilities of Machine Learning Methods in Prediction of Solubility of Substances in Supercritical Carbon Dioxide
D. A. Lavrukhina, А. Д. Павлов, М. П. Шлеймович, et al.
Russian Journal of Physical Chemistry B (2024) Vol. 18, Iss. 8, pp. 1815-1820
Closed Access
Predicting anti‑cancer drugs’ dissolution in supercritical carbon dioxide
Billey Winslet, Victor Paxton, Alexandrea Rose, et al.
Technium BioChemMed (2023) Vol. 5, pp. 30-39
Open Access
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