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:
Machine learning in toxicological sciences: opportunities for assessing drug toxicity
Lusine Tonoyan, Arno G. Siraki
Frontiers in Drug Discovery (2024) Vol. 4
Open Access | Times Cited: 5
Lusine Tonoyan, Arno G. Siraki
Frontiers in Drug Discovery (2024) Vol. 4
Open Access | Times Cited: 5
Showing 5 citing articles:
Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment
Vaisali Chandrasekar, Saad Mohammad, Omar M. Aboumarzouk, et al.
Journal of Hazardous Materials (2025) Vol. 487, pp. 137071-137071
Closed Access
Vaisali Chandrasekar, Saad Mohammad, Omar M. Aboumarzouk, et al.
Journal of Hazardous Materials (2025) Vol. 487, pp. 137071-137071
Closed Access
Strategies for Redesigning Withdrawn Drugs to Enhance Therapeutic Efficacy and Safety: A Review
Chirag Patel, Adeeba Shakeel, Raghvendra Mall, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2025) Vol. 15, Iss. 1
Closed Access
Chirag Patel, Adeeba Shakeel, Raghvendra Mall, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2025) Vol. 15, Iss. 1
Closed Access
OS02-06 Leveraging in silico binding affinity, in vitro bioactivity, and chemical structure to develop machine learning models for predicting in vivo toxicity
D. H. Kim, Sung‐Hoon Ahn, Jeong‐Mo Choi
Toxicology Letters (2024) Vol. 399, pp. S59-S59
Closed Access
D. H. Kim, Sung‐Hoon Ahn, Jeong‐Mo Choi
Toxicology Letters (2024) Vol. 399, pp. S59-S59
Closed Access
Unleashing the Future: The Revolutionary Role of Machine Learning and Artificial Intelligence in Drug Discovery
Manoj Kumar Yadav, Vandana Dahiya, Manish Tripathi, et al.
European Journal of Pharmacology (2024) Vol. 985, pp. 177103-177103
Closed Access
Manoj Kumar Yadav, Vandana Dahiya, Manish Tripathi, et al.
European Journal of Pharmacology (2024) Vol. 985, pp. 177103-177103
Closed Access
A Hands-On Perspective on Physico-chemical Versus AI/ML Methods Along the Genome to Drug Pathway
B. Jayaram
(2024), pp. 45-55
Closed Access
B. Jayaram
(2024), pp. 45-55
Closed Access