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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:

The Monte Carlo approach to model and predict the melting point of imidazolium ionic liquids using hybrid optimal descriptors
Shahram Lotfi, Shahin Ahmadi, Parvin Kumar
RSC Advances (2021) Vol. 11, Iss. 54, pp. 33849-33857
Open Access | Times Cited: 24

Showing 24 citing articles:

A simple and reliable QSPR model for prediction of chromatography retention indices of volatile organic compounds in peppers
Shahin Ahmadi, Shahram Lotfi, Hamideh Hamzehali, et al.
RSC Advances (2024) Vol. 14, Iss. 5, pp. 3186-3201
Open Access | Times Cited: 7
CORAL: Development of a hybrid descriptor based QSTR model to predict the toxicity of dioxins and dioxin-like compounds with correlation intensity index and consensus modelling
Parvin Kumar, Ashwani Kumar, Devender Singh
Environmental Toxicology and Pharmacology (2022) Vol. 93, pp. 103893-103893
Closed Access | Times Cited: 28
Quasi-SMILES as a basis for the development of QSPR models to predict the CO2 capture capacity of deep eutectic solvents using correlation intensity index and consensus modelling
Parvin Kumar, Ashwani Kumar, Jayant Sindhu, et al.
Fuel (2023) Vol. 345, pp. 128237-128237
Closed Access | Times Cited: 14
CORAL: Quantitative Structure Retention Relationship (QSRR) of flavors and fragrances compounds studied on the stationary phase methyl silicone OV-101 column in gas chromatography using correlation intensity index and consensus modelling
Parvin Kumar, Ashwani Kumar, Sohan Lal, et al.
Journal of Molecular Structure (2022) Vol. 1265, pp. 133437-133437
Closed Access | Times Cited: 19
In-silico activity prediction and docking studies of some flavonol derivatives as anti-prostate cancer agents based on Monte Carlo optimization
Faezeh Tajiani, Shahin Ahmadi, Shahram Lotfi, et al.
BMC Chemistry (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 9
Monte Carlo based QSGFEAR: prediction of Gibb's free energy of activation at different temperatures using SMILES based descriptors
Rahul Singh, Parvin Kumar, Meena Devi, et al.
New Journal of Chemistry (2022) Vol. 46, Iss. 39, pp. 19062-19072
Closed Access | Times Cited: 15
QSAR models for the ozonation of diverse volatile organic compounds at different temperatures
Ali Azimi, Shahin Ahmadi, Marjan Jebeli Javan, et al.
RSC Advances (2024) Vol. 14, Iss. 12, pp. 8041-8052
Open Access | Times Cited: 2
CORAL: Monte Carlo based global QSAR modelling of Bruton tyrosine kinase inhibitors using hybrid descriptors
Shahin Ahmadi, Shahram Lotfi, Sara Afshari, et al.
SAR and QSAR in environmental research (2021) Vol. 32, Iss. 12, pp. 1013-1031
Closed Access | Times Cited: 20
Prediction of second-order rate constants of the sulfate radical anion with aromatic contaminants using the Monte Carlo technique
Shahram Lotfi, Shahin Ahmadi, Ali Azimi, et al.
New Journal of Chemistry (2023) Vol. 47, Iss. 42, pp. 19504-19515
Closed Access | Times Cited: 7
Machine learning models for phase transition and decomposition temperature of ionic liquids
Dmitriy M. Makarov, Yu. A. Fadeeva, L. E. Shmukler, et al.
Journal of Molecular Liquids (2022) Vol. 366, pp. 120247-120247
Closed Access | Times Cited: 12
Ecotoxicological prediction of organic chemicals toward Pseudokirchneriella subcapitata by Monte Carlo approach
Shahram Lotfi, Shahin Ahmadi, Parvin Kumar
RSC Advances (2022) Vol. 12, Iss. 38, pp. 24988-24997
Open Access | Times Cited: 9
Monte Carlo optimization based QSAR modeling, molecular docking studies, and ADMET predictions of compounds with antiMES activity
Biljana Živadinović, Jelena Stamenović, Jelena Živadinović, et al.
Structural Chemistry (2023) Vol. 34, Iss. 6, pp. 2225-2235
Open Access | Times Cited: 5
Optimization of Monte Carlo Method-Based QSPR modeling for lipophilicity in radiopharmaceuticals
Fariba Bamdi, Fereshteh Shiri, Shahin Ahmadi, et al.
Chemical Physics Letters (2024) Vol. 843, pp. 141239-141239
Closed Access | Times Cited: 1
Quantitative structure–activity relationship modeling for predication of inhibition potencies of imatinib derivatives using SMILES attributes
Hamideh Hamzehali, Shahram Lotfi, Shahin Ahmadi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 6
Monte Carlo Optimization Based QSAR Modeling of Angiotensin II Receptor Antagonists
Nemanja Nikolić, Tomislav Kostić, Mlađjan Golubović, et al.
Acta chimica slovenica (2023) Vol. 70, Iss. 3, pp. 318-326
Open Access | Times Cited: 2
QSAR modelling, molecular docking studies and ADMET predictions of polysubstituted pyridinylimidazoles as dual inhibitors of JNK3 and p38α MAPK
Biljana Živadinović, Jelena Stamenović, Jelena Živadinović, et al.
Journal of Molecular Structure (2022) Vol. 1265, pp. 133504-133504
Closed Access | Times Cited: 4
Quasi-SMILES-Based QSPR/QSAR Modeling
Shahin Ahmadi, Neda Azimi
Challenges and advances in computational chemistry and physics (2023), pp. 191-210
Closed Access | Times Cited: 1
CORAL: Predictions of Quality of Rice Based on Retention Index Using a Combination of Correlation Intensity Index and Consensus Modelling
Parvin Kumar, Ashwani Kumar
Challenges and advances in computational chemistry and physics (2023), pp. 421-462
Closed Access | Times Cited: 1
Molecular Descriptors in QSPR/QSAR Modeling
Shahin Ahmadi, Sepideh Ketabi, Marjan Jebeli Javan
Challenges and advances in computational chemistry and physics (2023), pp. 25-56
Open Access | Times Cited: 1
SMILES and Quasi-SMILES Descriptors in QSAR/QSPR Modeling of Diverse Materials Properties in Safety and Environment Application
Yong Pan, Xin Zhang, Juncheng Jiang
Challenges and advances in computational chemistry and physics (2023), pp. 297-325
Closed Access
Quantitative structure-property relationship modeling for prediction of chromatography retention indices of volatile organic compounds in peppers based on Monte Carlo approach
Shahin Ahmadi, Shahram Lotfi, Hamideh Hamzehali, et al.
Research Square (Research Square) (2023)
Open Access
Monte Carlo optimization based QSAR modeling, molecular docking studies and ADMET predictions of compounds with antiMES activity
Biljana Živadinović, Jelena Stamenović, Jelena Živadinović, et al.
Research Square (Research Square) (2023)
Open Access
Study of Physicochemical Properties of Ionic Liquids
Tridib Mondal, Palas Samanta
(2023), pp. 51-67
Closed Access
Conformational effect of Pt2Ru3 nanoparticle on surface coverage of CO/H2 by materials informatics-integrated computational method
Md. Khorshed Alam, Shuhei Saito, Fumiya Hirosawa, et al.
MRS Communications (2022) Vol. 13, Iss. 1, pp. 27-33
Open Access
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