| Author | Year | Title | 期刊名稱 | Volume | Issue | Page |
| Pu-Yun Kow, Li-Chiu Chang, Chuan-Yao Lin, Charles C.-K. Chou, Fi-John Chang | 2022 | Deep neural networks for spatiotemporal PM2.5 forecasts based on atmospheric chemical transport model output and monitoring data | Environmental Pollution | | | |
| Meng-Hsin Lee, Wei-Bin Lu, Mei-Kuang Lu, Fi-John Chang | 2022 | A hybrid of response surface methodology and artificial neural network in optimization of culture conditions of mycelia growth of Antrodia cinnamomea | Biomass and Bioenergy | | | |
| Pu-Yun Kow, I-Wen Hsia, Li-Chiu Chang, Fi-John Chang | 2022 | Real-time image-based air quality estimation by deep learning
neural networks | Journal of Environmental Management | | | |
| Li-Chiu Chang, Wu-Han Wang, Fi-John Chang | 2021 | Explore training self-organizing map methods for clustering high-dimensional flood inundation maps | Journal of Hydrology | | | |
| Maikel Issermann , Fi-John Chang, Pu-Yun Kow | 2021 | Interactive urban building energy modelling with functional mockup interface of a local residential building stock | Journal of Cleaner Production | | | |
| Yi-Shin Wang, Li-Chiu Chang, Fi-John Chang | 2021 | Explore Regional PM2.5 Features and Compositions Causing Health
Effects in Taiwan | Environmental Management | | | |
| Yanlai Zhou, Fi-John Chang, Li-Chiu Chang, I-Feng Kao, Yi-Shin Wang | 2021 | Explore a deep learning multi-output neural network for regional multi-step-ahead air quality forecasts | Journal of Cleaner Production | | | |
| Yanlai Zhou, Shenglian Guo, Fi-John Chang | 2021 | Explore an evolutionary recurrent ANFIS for modelling multi-step-ahead
flood forecasts | Journal of Hydrology | | | |
| I-Feng Kaoa, Yanlai Zhou, Li-Chiu Chang, Fi-John Chang | 2021 | Exploring a Long Short-Term Memory based Encoder-Decoder framework
for multi-step-ahead flood forecasting | Journal of Hydrology | | | |
| I-Feng Kao , Jia-Yi Liou , Meng-Hsin Lee , Fi-John Chang | 2021 | Fusing stacked autoencoder and long short-term memory for regional multistep-ahead flood inundation forecasts | Journal of Hydrology | | | |
| Jia-Hao Hu, Wen-Ping Tsai, Su-Ting Cheng, Fi-John Chang
Jia-Hao Hu, Wen-Ping Tsai, Su-Ting Cheng, Fi-John Chang | 2020 | Explore the relationship between fish community and environmental factors by machine learning techniques | Environmental Research | 184 | | 109262 |
| Maikel Issermann, Fi-John Chang | 2020 | Uncertainty Analysis of Spatiotemporal Models with Point Estimate Methods PEMs - The Case of the ANUGA Hydrodynamic Model | Water | 2020 12(1) | | 229 |
| Pu-Yun Kow, Yi-Shin Wang, Yanlai Zhou, I-Feng Kao, Maikel Issermann, Li-Chiu Chang, Fi-John Chang | 2020 | Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting | Journal of Cleaner Production | 261 | | 121285 |
| Yanlai Zhou, Fi-John Chang, Li-Chiu Chang, Wei-De Lee, Angela Huang, Chong-Yu Xu, Shenglian Guo
Yanlai Zhou, Fi-John Chang, Li-Chiu Chang, Wei-De Lee, Angela Huang, Chong-Yu Xu, Shenglian Guo | 2020 | An advanced complementary scheme of floating photovoltaic and hydropower generation flourishing water-food-energy nexus synergies | Applied Energy | 275 | | 115389 |
| I-Feng Kaoa, Yanlai Zhou, Li-Chiu Chang, Fi-John Chang
I-Feng Kaoa, Yanlai Zhou, Li-Chiu Chang, Fi-John Chang | 2020 | Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting | Journal of Hydrology | 583 | | 124631 |