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:
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: 21
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: 21
Showing 21 citing articles:
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, et al.
Journal of CO2 Utilization (2025) Vol. 92, pp. 103021-103021
Open Access | Times Cited: 1
Farag M. A. Altalbawy, Nadhir N.A. Jafar, Dharmesh Sur, et al.
Journal of CO2 Utilization (2025) Vol. 92, pp. 103021-103021
Open Access | Times Cited: 1
Artificial Intelligence aided pharmaceutical engineering: Development of hybrid machine learning models for prediction of nanomedicine solubility in supercritical solvent
Chunchao Chen
Journal of Molecular Liquids (2024) Vol. 397, pp. 124127-124127
Closed Access | Times Cited: 8
Chunchao Chen
Journal of Molecular Liquids (2024) Vol. 397, pp. 124127-124127
Closed Access | Times Cited: 8
Data-Driven Modeling Methods and Techniques for Pharmaceutical Processes
Yachao Dong, Ting Yang, Yafeng Xing, et al.
Processes (2023) Vol. 11, Iss. 7, pp. 2096-2096
Open Access | Times Cited: 13
Yachao Dong, Ting Yang, Yafeng Xing, et al.
Processes (2023) Vol. 11, Iss. 7, pp. 2096-2096
Open Access | Times Cited: 13
Machine learning based modeling for estimation of drug solubility in supercritical fluid by adjusting important parameters
Yaoyang Liu, Morug Salih Mahdi, Usama Kadem Radi, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105241-105241
Closed Access | Times Cited: 5
Yaoyang Liu, Morug Salih Mahdi, Usama Kadem Radi, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105241-105241
Closed Access | Times Cited: 5
Advanced modeling based on machine learning for evaluation of drug nanoparticle preparation via green technology: Theoretical assessment of solubility variations
M. Yasmin Begum
Case Studies in Thermal Engineering (2023) Vol. 45, pp. 103029-103029
Open Access | Times Cited: 11
M. Yasmin Begum
Case Studies in Thermal Engineering (2023) Vol. 45, pp. 103029-103029
Open Access | Times Cited: 11
Development of novel computational models based on artificial intelligence technique to predict the viscosity of ionic liquids-water mixtures
Longyi Ran, Zheng Wang, Bing Yang, et al.
Case Studies in Thermal Engineering (2024) Vol. 54, pp. 104076-104076
Open Access | Times Cited: 4
Longyi Ran, Zheng Wang, Bing Yang, et al.
Case Studies in Thermal Engineering (2024) Vol. 54, pp. 104076-104076
Open Access | Times Cited: 4
Applications of Predictive Modeling for Various Properties of Ionic Liquids
Shahram Lotfi, Shahin Ahmadi, Parvin Kumar, et al.
Challenges and advances in computational chemistry and physics (2025), pp. 205-229
Closed Access
Shahram Lotfi, Shahin Ahmadi, Parvin Kumar, et al.
Challenges and advances in computational chemistry and physics (2025), pp. 205-229
Closed Access
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
Ahmadreza Roosta, Feridun Esmaeilzadeh, Reza Haghbakhsh
European Journal of Pharmaceutics and Biopharmaceutics (2025) Vol. 211, pp. 114720-114720
Closed Access
Theoretical investigations on the manufacture of drug nanoparticles using green supercritical processing: Estimation and prediction of drug solubility in the solvent using advanced methods
Mohammed A. S. Abourehab, Ahmed Salah Al-Shati, Kumar Venkatesan, et al.
Journal of Molecular Liquids (2022) Vol. 368, pp. 120559-120559
Closed Access | Times Cited: 18
Mohammed A. S. Abourehab, Ahmed Salah Al-Shati, Kumar Venkatesan, et al.
Journal of Molecular Liquids (2022) Vol. 368, pp. 120559-120559
Closed Access | Times Cited: 18
Advanced modeling and intelligence-based evaluation of pharmaceutical nanoparticle preparation using green supercritical processing: Theoretical assessment of solubility
Amr S. Abouzied, Saad M. Alshahrani, Ahmad J. Obaidullah, et al.
Case Studies in Thermal Engineering (2023) Vol. 48, pp. 103150-103150
Open Access | Times Cited: 10
Amr S. Abouzied, Saad M. Alshahrani, Ahmad J. Obaidullah, et al.
Case Studies in Thermal Engineering (2023) Vol. 48, pp. 103150-103150
Open Access | Times Cited: 10
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
Ziming Wang, Yu Wan, Hongxia Li, et al.
Journal of Molecular Liquids (2024) Vol. 404, pp. 124864-124864
Closed Access | Times Cited: 3
Computational intelligence investigations on the correlation of pharmaceutical solubility in mixtures of binary solvents: Effect of composition and temperature
Mohammed Alqarni, Ali Alqarni
Chinese Journal of Physics (2024)
Closed Access | Times Cited: 3
Mohammed Alqarni, Ali Alqarni
Chinese Journal of Physics (2024)
Closed Access | Times Cited: 3
Computational study and experimental validation on the solubility of drugs in supercritical solvent for assessment of nanomedicine production via green technology for enhanced drug bioavailability
Chenxiao Hao, Yahui Li, Luoyu Zhang, et al.
Journal of Molecular Liquids (2023) Vol. 382, pp. 121835-121835
Closed Access | Times Cited: 8
Chenxiao Hao, Yahui Li, Luoyu Zhang, et al.
Journal of Molecular Liquids (2023) Vol. 382, pp. 121835-121835
Closed Access | Times Cited: 8
Development of SVM-based machine learning model for estimating lornoxicam solubility in supercritical solvent
Mingji Zhang, Wael A. Mahdi
Case Studies in Thermal Engineering (2023) Vol. 49, pp. 103268-103268
Open Access | Times Cited: 8
Mingji Zhang, Wael A. Mahdi
Case Studies in Thermal Engineering (2023) Vol. 49, pp. 103268-103268
Open Access | Times Cited: 8
Employment of artificial intelligence approach for optimizing the solubility of drug in the supercritical CO2 system
Meixiuli Li, Wenyan Jiang, Shuang Zhao, et al.
Case Studies in Thermal Engineering (2024) Vol. 57, pp. 104326-104326
Open Access | Times Cited: 2
Meixiuli Li, Wenyan Jiang, Shuang Zhao, et al.
Case Studies in Thermal Engineering (2024) Vol. 57, pp. 104326-104326
Open Access | Times Cited: 2
Exothermic barrier-free carboxylation of alkali methylates. The highest-yield synthesis of dialkyl carbonates out of alcohols and carbon dioxide rationalized and reformulated through quantum-chemical simulations
Vitaly V. Chaban
Journal of Molecular Liquids (2023) Vol. 391, pp. 123244-123244
Closed Access | Times Cited: 4
Vitaly V. Chaban
Journal of Molecular Liquids (2023) Vol. 391, pp. 123244-123244
Closed Access | Times Cited: 4
Nonsteroidal anti-inflammatory drug solubility optimization through green chemistry solvent: Artificial intelligence technique
Mohammed Majrashi, Jawaher Abdullah Alamoudi, Amal Abdullah Alrashidi, et al.
Case Studies in Thermal Engineering (2023) Vol. 53, pp. 103767-103767
Open Access | Times Cited: 4
Mohammed Majrashi, Jawaher Abdullah Alamoudi, Amal Abdullah Alrashidi, et al.
Case Studies in Thermal Engineering (2023) Vol. 53, pp. 103767-103767
Open Access | Times Cited: 4
Analysis of nanonization and purification of organic compounds via green supercritical processing: Model development using advanced hybrid techniques
Yongqiang Zhang
Case Studies in Thermal Engineering (2024) Vol. 55, pp. 104159-104159
Open Access | Times Cited: 1
Yongqiang Zhang
Case Studies in Thermal Engineering (2024) Vol. 55, pp. 104159-104159
Open Access | Times Cited: 1
Intelligence computational analysis of letrozole solubility in supercritical solvent via machine learning models
Mohammed Alqarni, Amal Adnan Ashour, Alaa Shafie, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Mohammed Alqarni, Amal Adnan Ashour, Alaa Shafie, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Computational intelligence analysis on drug solubility using thermodynamics and interaction mechanism via models comparison and validation
Ahmad J. Obaidullah, Wael A. Mahdi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Ahmad J. Obaidullah, Wael A. Mahdi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Advanced modeling of pharmaceutical solubility in solvents using artificial intelligence techniques: assessment of drug candidate for nanonization processing
Turki Al Hagbani, Sameer Alshehri, Sami Bawazeer
Frontiers in Medicine (2024) Vol. 11
Open Access
Turki Al Hagbani, Sameer Alshehri, Sami Bawazeer
Frontiers in Medicine (2024) Vol. 11
Open Access
