Wenqian Ruan

Artificial Neural Network Modeling and Genetic Algorithm Optimization for Cadmium Removal from Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zero-Valent Iron (nZVI/rGO) Composites

Mingyi Fan, Tong-Jun Li, Jiwei Hu et al. · Materials · 2017 · 86 citations · Full text

Engineering, Chemical Engineering, Materials Science +17

Synthesis and Characterization of Reduced Graphene Oxide-Supported Nanoscale Zero-Valent Iron (nZVI/rGO) Composites Used for Pb(II) Removal

Mingyi Fan, Tong-Jun Li, Jiwei Hu et al. · Materials · 2016 · 80 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA)

Xuedan Shi, Wenqian Ruan, Jiwei Hu et al. · Nanomaterials · 2017 · 62 citations · Full text

Engineering, Chemical Engineering, Environmental Engineering +17

Decontamination of methylene Blue from simulated wastewater by the mesoporous rGO/Fe/Co nanohybrids: Artificial intelligence modeling and optimization

Jimei Qi, Yu Hou, Jiwei Hu et al. · Materials Today Communications · 2020 · 47 citations

Engineering, Environmental Engineering, Materials Science +15

Removal of Crystal Violet by Using Reduced-Graphene-Oxide-Supported Bimetallic Fe/Ni Nanoparticles (rGO/Fe/Ni): Application of Artificial Intelligence Modeling for the Optimization Process

Wenqian Ruan, Jiwei Hu, Jimei Qi et al. · Materials · 2018 · 46 citations · Full text

Natural Sciences, Chemical Engineering, Materials Science +17