| Preparation and characterization of cross-linked starch nanocrystals and self-reinforced starch-based nanocomposite films L Dai, H Yu, J Zhang, F Cheng International Journal of Biological Macromolecules 181, 868-876, 2021 | 34 | 2021 |
| Predicting and investigating cytotoxicity of nanoparticles by translucent machine learning H Yu, Z Zhao, F Cheng Chemosphere 276, 130164, 2021 | 26 | 2021 |
| In silico nanosafety assessment tools and their ecosystem-level integration prospect H Yu, D Luo, L Dai, F Cheng Nanoscale 13 (19), 8722-8739, 2021 | 14 | 2021 |
| Integrating machine learning interpretation methods for investigating nanoparticle uptake during seed priming and its biological effects H Yu, Z Zhao, D Liu, F Cheng Nanoscale 14 (41), 15305-15315, 2022 | 8 | 2022 |
| Single-kernel classification of deoxynivalenol and zearalenone contaminated maize based on visible light imaging under ultraviolet light excitation combined with polarized … M Qu, S Tian, H Yu, D Liu, C Zhang, Y He, F Cheng Food Control 144, 109354, 2023 | 7 | 2023 |
| Ce-UiO-66-F4-based composites decorated with green carbon dots for universal adsorption of organic pollutants containing hydrogen bond donors and its application exploration M Qu, H Yu, Y He, W Xu, D Liu, F Cheng Chemical Engineering Journal 486, 150266, 2024 | 6 | 2024 |
| Averaging strategy for interpretable machine learning on small datasets to understand element uptake after seed nanotreatment H Yu, S Tang, SFY Li, F Cheng Environmental Science & Technology 57 (34), 12760-12770, 2023 | 6 | 2023 |
| An analysis of factors affecting agricultural tractors’ reliability using random survival forests based on warranty data ZL Zhao, HJ Yu, F Cheng IEEE Access 10, 50183-50194, 2022 | 6 | 2022 |
| Interpretable machine learning for investigating complex nanomaterial–plant–soil interactions H Yu, Z Zhao, D Luo, F Cheng Environmental Science: Nano 9 (11), 4305-4316, 2022 | 4 | 2022 |
| Interpretable machine learning-accelerated seed treatment using nanomaterials for environmental stress alleviation H Yu, D Luo, SFY Li, M Qu, D Liu, Y He, F Cheng Nanoscale 15 (32), 13437-13449, 2023 | 3 | 2023 |
| Optimizing the benefit–risk trade-off in nano-agrochemicals through explainable machine learning: beyond concentration H Yu, S Tang, EM Hamed, SFY Li, Y Jin, F Cheng Environmental Science: Nano 11 (8), 3374-3389, 2024 | | 2024 |
Limin DaiZJUVerified email at zju.edu.cn