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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.

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Showing 1-25 of 27 citing articles:

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
The coefficient of conformism of a correlative prediction (CCCP): Building up reliable nano-QSPRs/QSARs for endpoints of nanoparticles in different experimental conditions encoded via quasi-SMILES
Alla P. Toropova, Andrey A. Toropov
The Science of The Total Environment (2024) Vol. 927, pp. 172119-172119
Closed Access | Times Cited: 4
Exploring biological efficacy of novel benzothiazole linked 2,5-disubstituted-1,3,4-oxadiazole hybrids as efficient α-amylase inhibitors: Synthesis, characterization, inhibition, molecular docking, molecular dynamics and Monte Carlo based QSAR studies
Meenakshi Duhan, Parvin Kumar, Jayant Sindhu, et al.
Computers in Biology and Medicine (2021) Vol. 138, pp. 104876-104876
Closed Access | Times Cited: 34
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
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
Quantitative structure–toxicity relationship models for predication of toxicity of ionic liquids toward leukemia rat cell line IPC-81 based on index of ideality of correlation
Shahin Ahmadi, Shahram Lotfi, Parvin Kumar
Toxicology Mechanisms and Methods (2021) Vol. 32, Iss. 4, pp. 302-312
Closed Access | Times Cited: 23
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
The searching for agents for Alzheimer’s disease treatment via the system of self-consistent models
Andrey A. Toropov, Alla P. Toropova, P. Ganga Raju Achary, et al.
Toxicology Mechanisms and Methods (2022) Vol. 32, Iss. 7, pp. 549-557
Closed Access | Times Cited: 14
A regression-based QSAR-model to predict acute toxicity of aromatic chemicals in tadpoles of the Japanese brown frog (Rana japonica): Calibration, validation, and future developments to support risk assessment of chemicals in amphibians
Andrey A. Toropov, Matteo Riccardo Di Nicola, Alla P. Toropova, et al.
The Science of The Total Environment (2022) Vol. 830, pp. 154795-154795
Open Access | Times Cited: 14
Monte Carlo technique to study the adsorption affinity of azo dyes by applying new statistical criteria of the predictive potential
Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, et al.
SAR and QSAR in environmental research (2022) Vol. 33, Iss. 8, pp. 621-630
Open Access | Times Cited: 13
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
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
Unswerving modeling of hepatotoxicity of cadmium containing quantum dots using amalgamation of quasiSMILES, index of ideality of correlation, and consensus modeling
Parvin Kumar, Ashwani Kumar
Nanotoxicology (2021) Vol. 15, Iss. 9, pp. 1199-1214
Closed Access | Times Cited: 15
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
Hybrid descriptors–conjoint indices: a case study on imidazole-thiourea containing glutaminyl cyclase inhibitors for design of novel anti-Alzheimer’s candidates
Kiran Bagri, Archana Kapoor, Parvin Kumar, et al.
SAR and QSAR in environmental research (2023) Vol. 34, Iss. 5, pp. 361-381
Closed Access | Times Cited: 4
Correlation intensity index-index of ideality of correlation: A hyphenated target function for furtherance of MAO-B inhibitory activity assessment
Bhawna Verma, Sunil Kumar, Parvin Kumar, et al.
Computational Biology and Chemistry (2023) Vol. 108, pp. 107975-107975
Closed Access | Times Cited: 4
Quasi-SMILES: Self-consistent models for toxicity of organic chemicals to tadpoles
Andrey A. Toropov, Matteo Riccardo Di Nicola, Alla P. Toropova, et al.
Chemosphere (2022) Vol. 312, pp. 137224-137224
Closed Access | Times Cited: 7
The enhancement scheme for the predictive ability of QSAR: A case of mutagenicity
Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, et al.
Toxicology in Vitro (2023) Vol. 91, pp. 105629-105629
Closed Access | Times Cited: 3
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
In silico aquatic toxicity prediction of chemicals towards Daphnia magna and fathead minnow using Monte Carlo approaches
Shahram Lotfi, Shahin Ahmadi, Ali Azimi, et al.
Toxicology Mechanisms and Methods (2024), pp. 1-13
Closed Access
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
On Complementary Approaches of Assessing the Predictive Potential of QSPR/QSAR Models
Andrey A. Toropov, Alla P. Toropova, Danuta Leszczyńska, et al.
Challenges and advances in computational chemistry and physics (2023), pp. 397-420
Closed Access
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