Works citing this work

3 works

Work: RETRACTED: Prediction of busulfan solubility in supercritical CO2 using tree-based and neural network-based methods

1. Universal data-driven models to estimate the solubility of anti-cancer drugs in supercritical carbon dioxide: Correlation development and machine learning modeling

   Farag M. A. Altalbawy, Nadhir N.A. Jafar, Dharmesh Sur +10

   ArticlePhase Equilibria and ThermodynamicsJournal of CO2 Utilization20250 citations

   ABIABI:AkademIndex/openalex/2025.article.000512

2. Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends

   Farag M. A. Altalbawy, Fadhel F. Sead, Dharmesh Sur +8

   ArticlePhase Equilibria and ThermodynamicsJournal of CO2 Utilization20250 citations

   ABIABI:AkademIndex/openalex/2025.article.000684

3. Machine learning estimation and optimization for evaluation of pharmaceutical solubility in supercritical carbon dioxide for improvement of drug efficacy

   Hadil Faris Alotaibi, Chou‐Yi Hsu, Fadhil Faez Sead +7

   ArticleComputational Drug Discovery MethodsScientific Reports20250 citations

   ABIABI:AkademIndex/openalex/2025.article.003214