
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:
How to correctly develop q-RASAR models for predictive cheminformatics
Arkaprava Banerjee, Kunal Roy
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 9, pp. 1017-1022
Closed Access | Times Cited: 10
Arkaprava Banerjee, Kunal Roy
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 9, pp. 1017-1022
Closed Access | Times Cited: 10
Showing 10 citing articles:
Molecular similarity in chemical informatics and predictive toxicity modeling: from quantitative read-across (q-RA) to quantitative read-across structure–activity relationship (q-RASAR) with the application of machine learning
Arkaprava Banerjee, Supratik Kar, Kunal Roy, et al.
Critical Reviews in Toxicology (2024) Vol. 54, Iss. 9, pp. 659-684
Closed Access | Times Cited: 12
Arkaprava Banerjee, Supratik Kar, Kunal Roy, et al.
Critical Reviews in Toxicology (2024) Vol. 54, Iss. 9, pp. 659-684
Closed Access | Times Cited: 12
The application of chemical similarity measures in an unconventional modeling framework c-RASAR along with dimensionality reduction techniques to a representative hepatotoxicity dataset
Arkaprava Banerjee, Kunal Roy
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Arkaprava Banerjee, Kunal Roy
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Machine learning assisted classification RASAR modeling for the nephrotoxicity potential of a curated set of orally active drugs
Arkaprava Banerjee, Kunal Roy
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Arkaprava Banerjee, Kunal Roy
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A multiscale molecular structural neural network for molecular property prediction
Zhiwei Shi, Miao Ma, Hanyang Ning, et al.
Molecular Diversity (2025)
Closed Access
Zhiwei Shi, Miao Ma, Hanyang Ning, et al.
Molecular Diversity (2025)
Closed Access
Titania: an integrated tool for in silico molecular property prediction and NAM-based modeling
Nikoletta-Maria Koutroumpa, Μαρία Αντωνίου, Dimitra‐Danai Varsou, et al.
Molecular Diversity (2025)
Open Access
Nikoletta-Maria Koutroumpa, Μαρία Αντωνίου, Dimitra‐Danai Varsou, et al.
Molecular Diversity (2025)
Open Access
QSPR and q-RASPR predictions of the adsorption capacity of polyethylene, polypropylene and polystyrene microplastics for various organic pollutants in diverse aqueous environments
Md Mobarak Hossain, Arkaprava Banerjee, Mainak Chatterjee, et al.
Environmental Science Nano (2024) Vol. 11, Iss. 10, pp. 4196-4210
Closed Access | Times Cited: 3
Md Mobarak Hossain, Arkaprava Banerjee, Mainak Chatterjee, et al.
Environmental Science Nano (2024) Vol. 11, Iss. 10, pp. 4196-4210
Closed Access | Times Cited: 3
Comparative QSAR and q-RASAR Modeling for Aquatic Toxicity of Organic Chemicals to Three Trout Species: O. Clarkii, S. Namaycush, and S. Fontinalis
Supratik Kar, Andrea Gallagher
Journal of Hazardous Materials (2024) Vol. 480, pp. 136060-136060
Closed Access | Times Cited: 2
Supratik Kar, Andrea Gallagher
Journal of Hazardous Materials (2024) Vol. 480, pp. 136060-136060
Closed Access | Times Cited: 2
Machine learning-assisted c-RASAR modeling of a curated set of orally active nephrotoxic drugs: Similarity-based predictions from close source neighbors
Arkaprava Banerjee, Kunal Roy
(2024)
Open Access | Times Cited: 1
Arkaprava Banerjee, Kunal Roy
(2024)
Open Access | Times Cited: 1
Predictive cheminformatics modeling of reorganization energy (RE) for p-type organic semiconductors: Integration of quantitative read-across structure-property relationship (q-RASPR) and stacking regression analysis
Shubham Kumar Pandey, Kunal Roy
Materials Today Communications (2024) Vol. 41, pp. 110430-110430
Closed Access | Times Cited: 1
Shubham Kumar Pandey, Kunal Roy
Materials Today Communications (2024) Vol. 41, pp. 110430-110430
Closed Access | Times Cited: 1
Hybrid model development through the integration of quantitative read-across (qRA) hypothesis with the QSAR framework: An alternative risk assessment of acute inhalation toxicity testing in rats
Sapna Kumari Pandey, Kunal Roy
Chemosphere (2024) Vol. 370, pp. 143931-143931
Closed Access | Times Cited: 1
Sapna Kumari Pandey, Kunal Roy
Chemosphere (2024) Vol. 370, pp. 143931-143931
Closed Access | Times Cited: 1
Quantitative read-across structure–property relationship (q-RASPR): a novel approach to estimate the bioaccumulative potential for diverse classes of industrial chemicals in aquatic organisms
P.K. Bhattacharyya, Pabitra Narayan Samanta, Ankur Kumar, et al.
Environmental Science Processes & Impacts (2024)
Closed Access
P.K. Bhattacharyya, Pabitra Narayan Samanta, Ankur Kumar, et al.
Environmental Science Processes & Impacts (2024)
Closed Access