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:
Development of QSPR-ANN models for the estimation of critical properties of pure hydrocarbons
Mohamed Roubehie Fissa, Yasmina Lahiouel, Latifa Khaouane, et al.
Journal of Molecular Graphics and Modelling (2023) Vol. 121, pp. 108450-108450
Closed Access | Times Cited: 5
Mohamed Roubehie Fissa, Yasmina Lahiouel, Latifa Khaouane, et al.
Journal of Molecular Graphics and Modelling (2023) Vol. 121, pp. 108450-108450
Closed Access | Times Cited: 5
Showing 5 citing articles:
Predictive potential of distance-related spectral graphical descriptors for structure-property modeling of thermodynamic properties of polycyclic hydrocarbons with applications
Sakander Hayat, Seham J.F. Alanazi, Muhammad Imran, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Sakander Hayat, Seham J.F. Alanazi, Muhammad Imran, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Improving ADMET Prediction Accuracy for Candidate Drugs: Factors to Consider in QSPR Modeling Approaches
Meilun Chen, Jie Yang, Chunhua Tang, et al.
Current Topics in Medicinal Chemistry (2023) Vol. 24, Iss. 3, pp. 222-242
Closed Access | Times Cited: 6
Meilun Chen, Jie Yang, Chunhua Tang, et al.
Current Topics in Medicinal Chemistry (2023) Vol. 24, Iss. 3, pp. 222-242
Closed Access | Times Cited: 6
Prediction of the effect of adsorption on the retention of organic compounds by NF/RO using QSPR-ANN
Nechoua Merarsi, Yamina Ammi, Salah Hanini
Global NEST Journal (2024), pp. 1-11
Open Access
Nechoua Merarsi, Yamina Ammi, Salah Hanini
Global NEST Journal (2024), pp. 1-11
Open Access
Predicting pKa of the carboxylic acid group in water solutions of amino acids based on molecular structures using machine learning QSPR methods
Ali Fazeli, Mojtaba Karimzadeh
Materials Today Communications (2023) Vol. 37, pp. 107554-107554
Closed Access | Times Cited: 1
Ali Fazeli, Mojtaba Karimzadeh
Materials Today Communications (2023) Vol. 37, pp. 107554-107554
Closed Access | Times Cited: 1
Predicting Pka of the Carboxylic Acid Group in Water Solutions of Amino Acids Based on Molecular Structures Using Machine Learning Qspr Methods
Ali Fazeli, Mojtaba Karimzadeh
(2023)
Closed Access
Ali Fazeli, Mojtaba Karimzadeh
(2023)
Closed Access
