| A generalized predictive model for TiO2–Catalyzed photo-degradation rate constants of water contaminants through artificial neural network Z Jiang, J Hu, X Zhang, Y Zhao, X Fan, S Zhong, H Zhang, X Yu Environmental Research 187, 109697, 2020 | 32 | 2020 |
| A novel machine learning model to predict the photo-degradation performance of different photocatalysts on a variety of water contaminants Z Jiang, J Hu, M Tong, AC Samia, H Zhang, X Yu Catalysts 11 (9), 1107, 2021 | 17 | 2021 |
| A deep neural network for accurate and robust prediction of the glass transition temperature of polyhydroxyalkanoate homo-and copolymers Z Jiang, J Hu, BL Marrone, G Pilania, X Yu Materials 13 (24), 5701, 2020 | 17 | 2020 |
| Impact of Visible-Solar-Light-Driven photocatalytic pavement on air quality improvement Z Jiang, XB Yu Transportation Research Part D: Transport and Environment 84, 102341, 2020 | 8 | 2020 |
| Kinetic studies on using photocatalytic coatings for removal of indoor volatile organic compounds Z Jiang, X Yu Indoor and Built Environment 29 (5), 689-700, 2020 | 4 | 2020 |
| Predicting Active Sites in Photocatalytic Degradation Process Using an Interpretable Molecular-Image Combined Convolutional Neural Network Z Jiang, J Hu, A Samia, X Yu Catalysts 12 (7), 746, 2022 | 3 | 2022 |
| Modeling and Experimental Studies on Adsorption and Photocatalytic Performance of Nitrogen-Doped TiO2 Prepared via the Sol–Gel Method Z Jiang, S Wickramasinghe, YH Tsai, ACS Samia, D Gurarie, X Yu Catalysts 10 (12), 1449, 2020 | 3 | 2020 |
| Performance of visible-light-driven photocatalytic pavement in reduction of motor vehicles’ exhaust gas Z Jiang, X Yu Transportation Research Record 2674 (11), 512-519, 2020 | 3 | 2020 |
| Corrigendum to" A generalized predictive model for TiO2-Catalyzed photo-degradation rate constants of water contaminants through artificial neural network"[Environ. Res., 187 … Z Jiang, J Hu, X Zhang, Y Zhao, X Fan, S Zhong, H Zhang, X Yu Environmental research 188, 109850, 2020 | 2 | 2020 |
| A generalized predictive model for TiO2-Catalyzed photo-degradation rate constants of water contaminants through artificial neural network (vol 187, 109697, 2020) Z Jiang, J Hu, X Zhang, Y Zhao, X Fan, S Zhong, H Zhang, X Yu ENVIRONMENTAL RESEARCH 188, 2020 | 1 | 2020 |
| Understanding of droplet dynamics and deposition area in electrospraying process: Modeling and experimental Approaches Z Jiang, X Yu arXiv preprint arXiv:1809.09688, 2018 | 1 | 2018 |
| A Novel Interpretable Machine Learning Model Approach for the Prediction of TiO 2 Photocatalytic Degradation of Air Contaminants RT Schossler, S Ojo, Z Jiang, J Hu, X Yu | | 2023 |
| Smart Photocatalytic Building Materials for Autogenous Improvement of Indoor Environment: Experimental, Physics-Based, and Data-Driven Modeling Approaches Z Jiang Case Western Reserve University, 2021 | | 2021 |
| Engineering the titania nanostructure to optimize visible light-driven antimicrobial properties S Wickramasinghe, Z Jiang, X Yu, A Samia ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 256, 2018 | | 2018 |
| A Study of the Fate and Effect of Steel Sheet Surface Oxides on Galvanizing Bath Management Z Jiang Case Western Reserve University, 2014 | | 2014 |
| Ensembled Machine Learning Models for Tio2 Photocatalytic Degradation of Air Contaminants RT Schossler, S Ojo, Z Jiang, J Hu, X Yu Available at SSRN 4435749, 0 | | |
