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OpenAlex Citation Counts

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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:

SMILES-based QSAR and molecular docking study of xanthone derivatives as α-glucosidase inhibitors
Shahin Ahmadi, Zohreh Moradi, Ashwani Kumar, et al.
Journal of Receptors and Signal Transduction (2021) Vol. 42, Iss. 4, pp. 361-372
Open Access | Times Cited: 14

Showing 14 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: 12
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: 13
SMILES-based QSAR and molecular docking studies of chalcone analogues as potential anti-colon cancer
Abolfazl Askarzade, Shahin Ahmadi, Ali Almasirad
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
QSTR based on Monte Carlo approach using SMILES and graph features for toxicity toward Tetrahymena pyriformis
Nasrin Rezaie-keikhaie, Fereshteh Shiri, Shahin Ahmadi, et al.
Journal of the Iranian Chemical Society (2023) Vol. 20, Iss. 10, pp. 2609-2620
Closed Access | Times Cited: 10
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: 22
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: 10
Finding structural requirements of structurally diverse α-glucosidase and α-amylase inhibitors through validated and predictive 2D-QSAR and 3D-QSAR analyses
Soumya Mitra, Subhadas Chatterjee, Shobhan Bose, et al.
Journal of Molecular Graphics and Modelling (2023) Vol. 126, pp. 108640-108640
Closed Access | Times Cited: 6
A Deep Learning-Based Quantitative Structure–Activity Relationship System Construct Prediction Model of Agonist and Antagonist with High Performance
Yasunari Matsuzaka, Yoshihiro Uesawa
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 4, pp. 2141-2141
Open Access | Times Cited: 8
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-Based QSPR/QSAR Modeling
Shahin Ahmadi, Neda Azimi
Challenges and advances in computational chemistry and physics (2023), pp. 191-210
Closed Access | Times Cited: 2
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: 2
Monte Carlo optimization method based QSAR modeling of postmortem redistribution of structurally diverse drugs
Aleksandra Antović, Radovan Karadžić, Aleksandar M. Veselinović
New Journal of Chemistry (2022) Vol. 46, Iss. 30, pp. 14731-14737
Closed Access | Times Cited: 3
Machine Learning Prediction of Intestinal α-Glucosidase Inhibitors Using a Diverse Set of Ligands: A Drug Repurposing Effort with DrugBank Database Screening
Adeshina I. Odugbemi, Clement N. Nyirenda, Alan Christoffels, et al.
Research Square (Research Square) (2024)
Open Access
Prediction of Pic50 Bioactive Values Based on Knowledge Priors and Attention Neural Networks
Meng Li, Wenyan Tang, Xin-Fei Wang, et al.
(2023)
Closed Access | Times Cited: 1
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