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RSC Advances|May 9, 2022
Qualitative and quantitative differences between common control banding tools for nanomaterials in workplacesXiangjing Gao, Hua Zou, Zanrong Zhou, et al.International Journal of Occupational Safety and Ergonomics : JOSE|January 5, 2022
Application of multiple occupational health risk assessment models in occupation health risk prediction of trichloroethylene in the electroplating and electronics industriesShibiao Su, Zhiming Liang, Sheng Zhang, et al.Journal of Occupational Health|June 12, 2019
Prevalence and determinants of noise-induced hearing loss among workers in the automotive industry in China: A pilot studyYali Chen, Meibian Zhang, Wei Qiu, et al.Mutagenesis|July 23, 2005
Investigating genetic damage in workers occupationally exposed to methotrexate using three genetic end-pointsHongping Deng, Meibian Zhang, Jiliang He, et al.Frontiers in Public Health|April 24, 2025
Acute arsine poisoning after exposure on cleaning an industrial purifier at a family-run workshopHua Zou, Meibian Zhang, Panqi Xue, et al.BMJ Open|November 26, 2013
Pesticide poisoning in Zhejiang, China: a retrospective analysis of adult cases registration by occupational disease surveillance and reporting systems from 2006 to 2010Meibian Zhang, Xinglin Fang, Lifang Zhou, et al.Toxicology|August 30, 2008
Studying the genotoxicity of vincristine on human lymphocytes using comet assay, micronucleus assay and TCR gene mutation test in vitroWei Jiang, Yezheng Lu, Zhijian Chen, et al.Chemico-Biological Interactions|December 2, 2009
Studying the cytotoxicity and oxidative stress induced by two kinds of bentonite particles on human B lymphoblast cells in vitroMeibian Zhang, Yezhen Lu, Xiaoxue Li, et al.The Journal of the Acoustical Society of America|April 2, 2018
Use of the kurtosis statistic in an evaluation of the effects of noise and solvent exposures on the hearing thresholds of workers: An exploratory studyAdrian Fuente, Wei Qiu, Meibian Zhang, et al.Hearing Research|July 6, 2025
Role of risk factors and their variable types in predicting noise-induced hearing loss using artificial intelligence algorithmsZhengheng Zhang, Longteng Jiang, Meibian Zhang, et al.Pageof 8