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:

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

Showing 7 citing articles:

Multi-task aquatic toxicity prediction model based on multi-level features fusion
Xin Yang, Jianqiang Sun, Bingyu Jin, et al.
Journal of Advanced Research (2024)
Open Access | Times Cited: 16

CLSSATP: Contrastive learning and self-supervised learning model for aquatic toxicity prediction
Lin Ye, Xin Yang, Mingxuan Zhang, et al.
Aquatic Toxicology (2025) Vol. 279, pp. 107244-107244
Closed Access

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

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: 3

Based on the Nano-QSAR model: Prediction of factors influencing damage to C. elegans caused by metal oxide nanomaterials and validation of toxic effects
Yanting Pang, Ruoyu Li, Ze Zhang, et al.
Nano Today (2023) Vol. 52, pp. 101967-101967
Closed Access | Times Cited: 4

Does the accounting of the local symmetry fragments in quasi-SMILES improve the predictive potential of the QSAR models of toxicity toward tadpoles?
Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, et al.
Toxicology Mechanisms and Methods (2024) Vol. 34, Iss. 7, pp. 737-742
Open Access

Quantitative Structure–Activity Relationship Models for the Angiotensin-Converting Enzyme Inhibitory Activities of Short-Chain Peptides of Goat Milk Using Quasi-SMILES
Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, et al.
Macromol—A Journal of Macromolecular Research (2024) Vol. 4, Iss. 2, pp. 387-400
Open Access

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