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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:

Prediction of power conversion efficiency of phenothiazine-based dye-sensitized solar cells using Monte Carlo method with index of ideality of correlation
Ashwani Kumar, Parvin Kumar
SAR and QSAR in environmental research (2021) Vol. 32, Iss. 10, pp. 817-834
Closed Access | Times Cited: 23

Showing 23 citing articles:

Application of machine learning‐based read‐across structure‐property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye‐sensitized solar cells (DSSCs)
Souvik Pore, Arkaprava Banerjee, Kunal Roy
Molecular Informatics (2024) Vol. 43, Iss. 4
Closed 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
Machine learning-based q-RASPR modeling of power conversion efficiency of organic dyes in dye-sensitized solar cells
Souvik Pore, Arkaprava Banerjee, Kunal Roy
Sustainable Energy & Fuels (2023) Vol. 7, Iss. 14, pp. 3412-3431
Closed Access | Times Cited: 15
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
Recent advances on phenothiazine-based oxime esters as visible light photoinitiators of polymerization
Frédéric Dumur
European Polymer Journal (2023) Vol. 202, pp. 112597-112597
Open Access | Times Cited: 10
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
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
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
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
Recent Advances in Monocomponent Visible Light Photoinitiating Systems Based on Sulfonium Salts
Frédéric Dumur
Polymers (2023) Vol. 15, Iss. 21, pp. 4202-4202
Open Access | Times Cited: 7
Identifications of good and bad structural fragments of hydrazone/2,5-disubstituted-1,3,4-oxadiazole hybrids with correlation intensity index and consensus modelling using Monte Carlo based QSAR studies, their molecular docking and ADME analysis
Parvin Kumar, Rahul Singh, Ashwani Kumar, et al.
SAR and QSAR in environmental research (2022) Vol. 33, Iss. 9, pp. 677-700
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
QSAR study of tetrahydropteridin derivatives as polo-like kinase 1(PLK1) Inhibitors with molecular docking and dynamics study
Garima, Sonika Sharma, Jayant Sindhu, et al.
SAR and QSAR in environmental research (2023) Vol. 34, Iss. 2, pp. 91-116
Closed Access | Times Cited: 5
Multicellular target QSAR models for predicting of novel inhibitors against pancreatic cancer by Monte Carlo approach
Shahin Ahmadi, Shahram Lotfi, Ali Azimi, et al.
Results in Chemistry (2024) Vol. 10, pp. 101734-101734
Open Access | Times Cited: 1
Advanced High‐Throughput Rational Design of Porphyrin‐Sensitized Solar Cells Using Interpretable Machine Learning
Jian‐Ming Liao, Yu‐Hsuan Chen, Hsuan‐Wei Lee, et al.
Advanced Science (2024) Vol. 11, Iss. 43
Open Access | Times Cited: 1
The System of Self-Consistent Models: QSAR Analysis of Drug-Induced Liver Toxicity
Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, et al.
Toxics (2023) Vol. 11, Iss. 5, pp. 419-419
Open Access | Times Cited: 4
QSAR analysis for pyrimidine and pyridine derivatives as RIPK2 (receptor interacting protein kinase 2) inhibitors
Garima, Sanjeev Sharma, Jayant Sindhu, et al.
Journal of the Indian Chemical Society (2023) Vol. 100, Iss. 8, pp. 101052-101052
Closed Access | Times Cited: 4
CORAL: probing the structural requirements for α-amylase inhibition activity of 5-(3-arylallylidene)-2-(arylimino)thiazolidin-4-one derivatives based on QSAR with correlation intensity index, molecular docking, molecular dynamics, and ADMET studies
Rahul Singh, Parvin Kumar, Jayant Sindhu, et al.
Journal of Biomolecular Structure and Dynamics (2023), pp. 1-18
Closed Access | Times Cited: 4
The system of self-consistent QSPR-models for refractive index of polymers
Andrey A. Toropov, Alla P. Toropova, В. О. Кудышкин
Structural Chemistry (2022) Vol. 33, Iss. 2, pp. 617-624
Open Access | Times Cited: 6
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
In silico prediction of mosquito repellents for clothing application
James Devillers, Valérie Sartor, J. P. Doucet, et al.
SAR and QSAR in environmental research (2022) Vol. 33, Iss. 4, pp. 239-257
Closed Access | Times Cited: 5
Carcinogenicity prediction using the index of ideality of correlation
Alla P. Toropova, Andrey A. Toropov, Edoardo Luca Viganò, et al.
SAR and QSAR in environmental research (2022) Vol. 33, Iss. 6, pp. 419-428
Closed Access | Times Cited: 5
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
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