January 01, 2022 article Open access Developing random forest based QSAR models for predicting the mixture toxicity of TiO2 based nano-mixtures to Daphnia magna NanoImpact DOI: 10.1016/j.impact.2022.100383 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 61 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Application of Machine Learning in Nanotoxicology: A Critical Review and Perspective 2024 Environmental Science & Technology article Materials Science Machine Learning in Materials Science Open access 32 citations Machine learning-driven QSAR models for predicting the mixture toxicity of nanoparticles 2023 Environment International article Materials Science Nanoparticles: synthesis and applications Open access 88 citations Using Machine Learning to Predict Adverse Effects of Metallic Nanomaterials to Various Aquatic Organisms 2023 Environmental Science & Technology article Environmental Science Environmental Toxicology and Ecotoxicology Open access cited by 1 patent 92 citations Review and Prospects on the Ecotoxicity of Mixtures of Nanoparticles and Hybrid Nanomaterials 2022 Environmental Science & Technology article Environmental Science Environmental Toxicology and Ecotoxicology Open access 120 citations 4 results References 0