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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 19 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
Parsing structural fragments of thiazolidin-4-one based α-amylase inhibitors: A combined approach employing in vitro colorimetric screening and GA-MLR based QSAR modelling supported by molecular docking, molecular dynamics simulation and ADMET studies
Rahul Singh, Parvin Kumar, Jayant Sindhu, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106776-106776
Closed Access | Times Cited: 19
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: 15
A general procedure for finding potentially erroneous entries in the database of retention indices
Mikhail Khrisanfov, Dmitriy D. Matyushin, А. С. Самохин
Analytica Chimica Acta (2024) Vol. 1297, pp. 342375-342375
Closed Access | Times Cited: 4
Synthesis of thiazolidine-2,4-dione tethered 1,2,3-triazoles as α-amylase inhibitors: In vitro approach coupled with QSAR, molecular docking, molecular dynamics and ADMET studies
Rahul Singh, Jayant Sindhu, Meena Devi, et al.
European Journal of Medicinal Chemistry (2024) Vol. 275, pp. 116623-116623
Closed Access | Times Cited: 4
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
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
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
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
Intelligent Consensus Predictions of the Retention Index of Flavor and Fragrance Compounds Using 2D Descriptors
Doelima Bera, Ankur Kumar, Joyita Roy, et al.
Chromatographia (2024) Vol. 87, Iss. 9, pp. 581-595
Closed Access
Structural attributes driving λmax towards NIR region: A QSPR approach
Payal Rani, Sandhya Chahal, Priyanka Priyanka, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 252, pp. 105199-105199
Closed Access
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
Support Vector Models-Based Quantitative Structure–Retention Relationship (QSRR) in the Development and Validation of RP-HPLC Method for Multi-component Analysis of Anti-diabetic Drugs
Krishnapal Rajput, Shubham Dhiman, N. Krishna Veni, et al.
Chromatographia (2023)
Closed Access | Times Cited: 1
SMILES and Quasi-SMILES in QSAR Modeling for Prediction of Physicochemical and Biochemical Properties
Siyun Yang, Supratik Kar, Jerzy Leszczyński
Challenges and advances in computational chemistry and physics (2023), pp. 327-348
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
The System of Self-Consistent Models: The Case of Henry’s Law Constants
Andrey A. Toropov, Alla P. Toropova, Alessandra Roncaglioni, et al.
Molecules (2023) Vol. 28, Iss. 20, pp. 7231-7231
Open Access
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