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:
SApredictor: An Expert System for Screening Chemicals Against Structural Alerts
Yuqing Hua, Xueyan Cui, Бо Лю, et al.
Frontiers in Chemistry (2022) Vol. 10
Open Access | Times Cited: 13
Yuqing Hua, Xueyan Cui, Бо Лю, et al.
Frontiers in Chemistry (2022) Vol. 10
Open Access | Times Cited: 13
Showing 13 citing articles:
Recent advances and current challenges of new approach methodologies in developmental and adult neurotoxicity testing
Melania Maria Serafini, Sara Sepehri, Miriam Midali, et al.
Archives of Toxicology (2024) Vol. 98, Iss. 5, pp. 1271-1295
Open Access | Times Cited: 11
Melania Maria Serafini, Sara Sepehri, Miriam Midali, et al.
Archives of Toxicology (2024) Vol. 98, Iss. 5, pp. 1271-1295
Open Access | Times Cited: 11
Machine Learning‐Enabled Drug‐Induced Toxicity Prediction
Changsen Bai, Lianlian Wu, Ruijiang Li, et al.
Advanced Science (2025)
Open Access | Times Cited: 1
Changsen Bai, Lianlian Wu, Ruijiang Li, et al.
Advanced Science (2025)
Open Access | Times Cited: 1
Identifying Substructures That Facilitate Compounds to Penetrate the Blood–Brain Barrier via Passive Transport Using Machine Learning Explainer Models
Lucca Caiaffa Santos Rosa, Caio Oliveira Argolo, Cayque Monteiro Castro Nascimento, et al.
ACS Chemical Neuroscience (2024) Vol. 15, Iss. 11, pp. 2144-2159
Open Access | Times Cited: 8
Lucca Caiaffa Santos Rosa, Caio Oliveira Argolo, Cayque Monteiro Castro Nascimento, et al.
ACS Chemical Neuroscience (2024) Vol. 15, Iss. 11, pp. 2144-2159
Open Access | Times Cited: 8
CardioDPi: An explainable deep-learning model for identifying cardiotoxic chemicals targeting hERG, Cav1.2, and Nav1.5 channels
Zhaoyang Chen, Na Li, Pei Zhang, et al.
Journal of Hazardous Materials (2024) Vol. 474, pp. 134724-134724
Closed Access | Times Cited: 8
Zhaoyang Chen, Na Li, Pei Zhang, et al.
Journal of Hazardous Materials (2024) Vol. 474, pp. 134724-134724
Closed Access | Times Cited: 8
Machine Learning Modeling and Insights into the Structural Characteristics of Drug-Induced Neurotoxicity
Xia Zhao, Yuhao Sun, Ruiqiu Zhang, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 23, pp. 6035-6045
Closed Access | Times Cited: 15
Xia Zhao, Yuhao Sun, Ruiqiu Zhang, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 23, pp. 6035-6045
Closed Access | Times Cited: 15
Prediction of Cytochrome P450 Inhibition Using a Deep Learning Approach and Substructure Pattern Recognition
Zhaoyang Chen, Le Zhang, Pei Zhang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2528-2538
Closed Access | Times Cited: 9
Zhaoyang Chen, Le Zhang, Pei Zhang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2528-2538
Closed Access | Times Cited: 9
Modeling and insights into the structural characteristics of endocrine-disrupting chemicals
Ruiqiu Zhang, Bailun Wang, Ling Li, et al.
Ecotoxicology and Environmental Safety (2023) Vol. 263, pp. 115251-115251
Open Access | Times Cited: 7
Ruiqiu Zhang, Bailun Wang, Ling Li, et al.
Ecotoxicology and Environmental Safety (2023) Vol. 263, pp. 115251-115251
Open Access | Times Cited: 7
Modeling and insights into the structural characteristics of drug-induced autoimmune diseases
Huizhu Guo, Peitao Zhang, Ruiqiu Zhang, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 12
Huizhu Guo, Peitao Zhang, Ruiqiu Zhang, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 12
Advancing chemical carcinogenicity prediction modeling: opportunities and challenges
Aayushi Mittal, Gaurav Ahuja
Trends in Pharmacological Sciences (2023) Vol. 44, Iss. 7, pp. 400-410
Closed Access | Times Cited: 5
Aayushi Mittal, Gaurav Ahuja
Trends in Pharmacological Sciences (2023) Vol. 44, Iss. 7, pp. 400-410
Closed Access | Times Cited: 5
Generating structural alerts from toxicology datasets using the local interpretable model-agnostic explanations method
Cayque Monteiro Castro Nascimento, Paloma Guimarães Moura, André Silva Pimentel
Digital Discovery (2023) Vol. 2, Iss. 5, pp. 1311-1325
Open Access | Times Cited: 5
Cayque Monteiro Castro Nascimento, Paloma Guimarães Moura, André Silva Pimentel
Digital Discovery (2023) Vol. 2, Iss. 5, pp. 1311-1325
Open Access | Times Cited: 5
Prediction of molecular-specific mutagenic alerts and related mechanisms of chemicals by a convolutional neural network (CNN) model based on SMILES split
Chao Chen, Zhengliang Huang, Xuyan Zou, et al.
The Science of The Total Environment (2024) Vol. 917, pp. 170435-170435
Closed Access | Times Cited: 1
Chao Chen, Zhengliang Huang, Xuyan Zou, et al.
The Science of The Total Environment (2024) Vol. 917, pp. 170435-170435
Closed Access | Times Cited: 1
Modeling and Insights into the Structural Characteristics of Chemical Mitochondrial Toxicity
Ruiqiu Zhang, Zhaoyang Chen, Baobao Wang, et al.
ACS Omega (2023) Vol. 8, Iss. 35, pp. 31675-31682
Open Access | Times Cited: 3
Ruiqiu Zhang, Zhaoyang Chen, Baobao Wang, et al.
ACS Omega (2023) Vol. 8, Iss. 35, pp. 31675-31682
Open Access | Times Cited: 3
Evaluating the Consistency of Judgments derived through both in silico and Expert Application of the Cramer Classification Scheme
James W. Firman, Alan R. Boobis, Heli M. Hollnagel, et al.
Food and Chemical Toxicology (2024), pp. 115070-115070
Open Access
James W. Firman, Alan R. Boobis, Heli M. Hollnagel, et al.
Food and Chemical Toxicology (2024), pp. 115070-115070
Open Access
