Fi-John Chang

About Fi-John Chang

Fi-John Chang, With an exceptional h-index of 58 and a recent h-index of 42 (since 2020), a distinguished researcher at National Taiwan University, specializes in the field of Water Resources, Hydrology, Environment, Artificial Intelligence, Artificial Neural Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Revolutionizing Groundwater Level Prediction in Taiwan: Unleashing the Power of Transformer Neural Networks

Exploring a spatiotemporal hetero graph-based long short-term memory model for multi-step-ahead flood forecasting

Deep dive into predictive excellence: Transformer's impact on groundwater level prediction

Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models

Elevating urban sustainability: An intelligent framework for optimizing water-energy-food nexus synergies in metabolic landscapes

Optimizing pumped-storage power station operation for boosting power grid absorbability to renewable energy

Advancing climate-resilient flood mitigation: Utilizing transformer-LSTM for water level forecasting at pumping stations

Optimizing complementary operation of mega cascade reservoirs for boosting hydropower sustainability

Fi-John Chang Information

University

Position

Distinguished Professor of Bioenvironmental Systems Engineering

Citations(all)

10626

Citations(since 2020)

5367

Cited By

10194

hIndex(all)

58

hIndex(since 2020)

42

i10Index(all)

128

i10Index(since 2020)

103

Email

University Profile Page

Google Scholar

Fi-John Chang Skills & Research Interests

Water Resources

Hydrology

Environment

Artificial Intelligence

Artificial Neural Networks

Top articles of Fi-John Chang

Title

Journal

Author(s)

Publication Date

Revolutionizing Groundwater Level Prediction in Taiwan: Unleashing the Power of Transformer Neural Networks

Wei Sun

Jia-Yi Liou

Fi-John Chang

2024/3/7

Exploring a spatiotemporal hetero graph-based long short-term memory model for multi-step-ahead flood forecasting

Journal of Hydrology

Yuxuan Luo

Yanlai Zhou

Hua Chen

Lihua Xiong

Shenglian Guo

...

2024/2/27

Deep dive into predictive excellence: Transformer's impact on groundwater level prediction

Journal of Hydrology

Wei Sun

Li-Chiu Chang

Fi-John Chang

2024/4/27

Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models

Journal of Environmental Management

Pu-Yun Kow

Jia-Yi Liou

Wei Sun

Li-Chiu Chang

Fi-John Chang

2024/2/1

Elevating urban sustainability: An intelligent framework for optimizing water-energy-food nexus synergies in metabolic landscapes

Applied Energy

Yanlai Zhou

Fi-John Chang

Li-Chiu Chang

Edwin Herricks

2024/4/15

Optimizing pumped-storage power station operation for boosting power grid absorbability to renewable energy

Energy Conversion and Management

Yanlai Zhou

Yuxin Zhu

Qi Luo

Yilong Wei

Yadong Mei

...

2024/1/1

Advancing climate-resilient flood mitigation: Utilizing transformer-LSTM for water level forecasting at pumping stations

Science of The Total Environment

Pu-Yun Kow

Jia-Yi Liou

Ming-Ting Yang

Meng-Hsin Lee

Li-Chiu Chang

...

2024/4/7

Optimizing complementary operation of mega cascade reservoirs for boosting hydropower sustainability

Sustainable Energy Technologies and Assessments

Yuxin Zhu

Yanlai Zhou

Chong-Yu Xu

Fi-John Chang

2024/4/1

Machine Learning-Enabled Smart Greenhouse Environmental Control Service Model

EGU General Assembly Conference Abstracts

I Hsia

Fi-John Chang

2023/5

Exploring a multi-objective optimization operation model of water projects for boosting synergies and water quality improvement in big river systems

Journal of Environmental Management

Di Zhu

Yanlai Zhou

Shenglian Guo

Fi-John Chang

Kangling Lin

...

2023/11/1

The Critical Recommendations for Providing Energy Efficiency

Laura M Baitenova

Lyailya M Mutaliyeva

Fi-John Chang

2023/4/18

Empowering Greenhouse Cultivation: Dynamic Factors and Machine Learning Unite for Advanced Microclimate Prediction

Water

Wei Sun

Fi-John Chang

2023/10/11

Develop a hybrid machine learning model for promoting microbe biomass production

Bioresource Technology

Pu-Yun Kow

Mei-Kuang Lu

Meng-Hsin Lee

Wei-Bin Lu

Fi-John Chang

2023/2/1

A flood Impact-Based forecasting system by fuzzy inference techniques

Journal of Hydrology

Gary Wee

Li-Chiu Chang

Fi-John Chang

Mohd Zaki Mat Amin

2023/10/1

Deep learning–based neural networks for day-ahead power load probability density forecasting

Environmental Science and Pollution Research

Yanlai Zhou

Di Zhu

Hua Chen

Shenglian Guo

Chong-Yu Xu

...

2023/2

Artificial intelligence techniques in hydrology and water resources management

Fi-John Chang

Li-Chiu Chang

Jui-Fa Chen

2023/5/12

Hybrid ANN and physically-based models for regional PM2. 5 forecasts

EGU General Assembly Conference Abstracts

Pu-Yun Kow

Jia-Yi Liou

Li-Chiu Chang

Fi-John Chang

2023/5

High-spatiotemporal-resolution PM2. 5 forecasting by hybrid deep learning models with ensembled massive heterogeneous monitoring data

Journal of Cleaner Production

Kuan-Yen Wu

I-Wen Hsia

Pu-Yun Kow

Li-Chiu Chang

Fi-John Chang

2023/12/25

Exploring a multi-objective cluster-decomposition framework for optimizing flood control operation rules of cascade reservoirs in a river basin

Journal of Hydrology

Di Zhu

Hua Chen

Yanlai Zhou

Xinfa Xu

Shenglian Guo

...

2022/11/1

Develop a Smart Microclimate Control System for Greenhouses through System Dynamics and Machine Learning Techniques

Water

Ting-Hsuan Chen

Meng-Hsin Lee

I-Wen Hsia

Chia-Hui Hsu

Ming-Hwi Yao

...

2022/12/3

See List of Professors in Fi-John Chang University(National Taiwan University)

Co-Authors

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