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Environmental Science and Pollution Research International|September 26, 2021
Theoretical design and process control of neonicotinoids insecticides suitable for synergistic degradation with the rubisco enzyme from rhizobia and carbon-fixing bacteria in soilZhengyang Deng, Zhixing Ren, Shuhai Sun, et al.Environmental Research|July 31, 2025
Ecological distribution, dissemination potential, and health risks of antibiotic resistance genes and mobile genetic elements in soils across diverse land-use types in ChinaZhengyang Deng, Yuanyuan Zhao, Zhixing Ren, et al.Environment International|April 6, 2025
A novel data-driven screening method of antidepressants stability in wastewater and the guidance of environmental regulationsPeixuan Sun, Huaishi Liu, Yuanyuan Zhao, et al.Journal of Agricultural and Food Chemistry|March 26, 2025
Exposure Risk Identification and Priority Control List Development of Pesticides in Agricultural Cultivation AreasJiapeng Liu, Yuanyuan Zhao, Ning Hao, et al.Journal of Hazardous Materials|June 6, 2024
Construction of an antidepressant priority list based on functional, environmental, and health risks using an interpretable mixup-transformer deep learning modelPeixuan Sun, Huaishi Liu, Yuanyuan Zhao, et al.Journal of Hazardous Materials|January 6, 2026
Informing atmospheric pollution hotspots and exposure risks under climate change using machine learning: Evidence from 2843 Chinese regionsNing Hao, Yuanyuan Zhao, Zhengyang Deng, et al.Journal of Hazardous Materials|November 14, 2025
Integrating RNA sequencing with deep learning-based metabolic toxicity prediction: A new perspective on screening prioritized liquid crystal monomersWenjin Zhao, Jiatong Li, Ning Hao, et al.Journal of Hazardous Materials|December 21, 2024
Endocrine disruptor identification and multitoxicity level assessment of organic chemicals: An example of multiple machine learning modelsNing Hao, Yuanyuan Zhao, Peixuan Sun, et al.Pageof 1