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Bioresource Technology|February 1, 2011
Prediction model of DnBP degradation based on BP neural network in AAO systemYongwen Ma, Mingzhi Huang, Jinquan Wan, et al.The Science of the Total Environment|December 7, 2019
Adsorption properties and mechanisms of novel biomaterials from banyan aerial roots via simple modification for ciprofloxacin removalHuimin Fan, Yongwen Ma, Jinquan Wan, et al.Environmental Science and Pollution Research International|April 11, 2021
Electrocatalytic oxidation of ciprofloxacin by Co-Ce-Zr/γ-Al2O3 three-dimensional particle electrodeYaxin Liu, Yongwen Ma, Jinquan Wan, et al.Journal of Colloid and Interface Science|January 28, 2014
Fe/S doped granular activated carbon as a highly active heterogeneous persulfate catalyst toward the degradation of Orange G and diethyl phthalateMengjie Pu, Yongwen Ma, Jinquan Wan, et al.Plos One|March 17, 2015
Stormwater runoff pollutant loading distributions and their correlation with rainfall and catchment characteristics in a rapidly industrialized cityDongya Li, Jinquan Wan, Yongwen Ma, et al.Environmental Science and Pollution Research International|January 23, 2016
Temporal and spatial variations of contaminant removal, enzyme activities, and microbial community structure in a pilot horizontal subsurface flow constructed wetland purifying industrial runoffXiao-Hui Yi, Dan-Dan Jing, Jinquan Wan, et al.Journal of Hazardous Materials|July 16, 2016
Degradation of refractory dibutyl phthalate by peroxymonosulfate activated with novel catalysts cobalt metal-organic frameworks: Mechanism, performance, and stabilityHuanxuan Li, Jinquan Wan, Yongwen Ma, et al.Journal of Hazardous Materials|June 4, 2019
Ferrous metal-organic frameworks with stronger coordinatively unsaturated metal sites for persulfate activation to effectively degrade dibutyl phthalate in wastewaterHaiyuan Chi, Jinquan Wan, Yongwen Ma, et al.Environmental Science and Pollution Research International|June 13, 2014
Improving nitrogen removal using a fuzzy neural network-based control system in the anoxic/oxic processMingzhi Huang, Yongwen Ma, Jinquan Wan, et al.Journal of Environmental Science and Health. Part A, Toxic/Hazardous Substances & Environmental Engineering|April 19, 2011
Hybrid artificial neural network genetic algorithm technique for modeling chemical oxygen demand removal in anoxic/oxic processYongwen Ma, Mingzhi Huang, Jinquan Wan, et al.Pageof 5