Shifa Zhong
East China Normal University(CN)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Water Quality Monitoring and Analysis, Electrochemical Analysis and Applications, Machine Learning in Materials Science, Pharmaceutical and Antibiotic Environmental Impacts
Most-Cited Works
- → Machine Learning: New Ideas and Tools in Environmental Science and Engineering(2021)908 cited
- → Effect of MnO2 Phase Structure on the Oxidative Reactivity toward Bisphenol A Degradation(2018)319 cited
- → Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, and Resins with Machine Learning(2020)201 cited
- → Revolutionizing Membrane Design Using Machine Learning-Bayesian Optimization(2021)162 cited
- → Highly efficient visible light-driven Ag/AgBr/ZnO composite photocatalyst for degrading Rhodamine B(2013)160 cited
- → Shedding light on “Black Box” machine learning models for predicting the reactivity of HO radicals toward organic compounds(2020)144 cited
- → Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants’ Activities and Properties(2023)122 cited
- → Machine Learning-Assisted QSAR Models on Contaminant Reactivity Toward Four Oxidants: Combining Small Data Sets and Knowledge Transfer(2021)112 cited
- → Molecular image-convolutional neural network (CNN) assisted QSAR models for predicting contaminant reactivity toward OH radicals: Transfer learning, data augmentation and model interpretation(2020)110 cited
- → A deep neural network combined with molecular fingerprints (DNN-MF) to develop predictive models for hydroxyl radical rate constants of water contaminants(2019)100 cited