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Hengjie Yu
Hengjie Yu
School of Engineering, Westlake University
在 westlake.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
312021
Predicting and investigating cytotoxicity of nanoparticles by translucent machine learning
H Yu, Z Zhao, F Cheng
Chemosphere 276, 130164, 2021
192021
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
132021
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
82022
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
52023
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
42022
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
42022
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
32024
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
22023
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
22023
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, 2024
2024
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