Fi‐John Chang
Impact in
- Environmental Engineering top 0.05%
- Hydrological Forecasting Using AI
- Air Quality Monitoring and Forecasting
- Ocean Engineering top 0.1%
- Water resources management and optimization
Papers in
-
- Hydrological Forecasting Using AI 69
- Air Quality Monitoring and Forecasting 10
-
- Water resources management and optimization 43
- Co-authors
- Li‐Chiu Chang (62 shared papers)Yanlai Zhou (39 shared papers)Ya-Ting Chang (2 shared papers)I-Feng Kao (7 shared papers)Yen‐Ming Chiang (12 shared papers)Yen‐Chang Chen (7 shared papers)Shenglian Guo (19 shared papers)Li Chen (2 shared papers)
In The Last Decade
Fi‐John Chang
182 papers receiving 9.1k citations
Fi‐John Chang's Hit Papers
Peers
Comparison fields: 5 of 130
- Environmental Engineering 4.2k
- Ocean Engineering 1.8k
- Water Science and Technology 964
- Environmental Chemistry 379
- Global and Planetary Change 781
Countries citing papers authored by Fi‐John Chang
This map shows the geographic impact of Fi‐John Chang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fi‐John Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fi‐John Chang more than expected).
Fields of papers citing papers by Fi‐John Chang
This network shows the impact of papers produced by Fi‐John Chang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fi‐John Chang. The network helps show where Fi‐John Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fi‐John Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 475 | |
| 2 | Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting Hit paper breakdown → | 2020 | 317 |
| 3 | 2018 | 245 | |
| 4 | 2005 | 241 | |
| 5 | 2001 | 223 | |
| 6 | 2001 | 209 | |
| 7 | 2014 | 208 | |
| 8 | 2018 | 208 | |
| 9 | 2004 | 193 | |
| 10 | 2010 | 178 | |
| 11 | 2009 | 156 | |
| 12 | 2009 | 147 | |
| 13 | 2018 | 138 | |
| 14 | 2010 | 137 | |
| 15 | 2016 | 135 | |
| 16 | 2019 | 129 | |
| 17 | 2005 | 124 | |
| 18 | 2014 | 120 | |
| 19 | 1998 | 116 | |
| 20 | 2015 | 116 |
About Fi‐John Chang
Fi‐John Chang is a scholar working on Environmental Engineering, Ocean Engineering, Water Science and Technology, Environmental Chemistry and Nature and Landscape Conservation, having authored 187 papers that have together received 9.3k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (69 papers), Water resources management and optimization (43 papers), Flood Risk Assessment and Management (11 papers), Fish Ecology and Management Studies (11 papers), Arsenic contamination and mitigation (10 papers), Air Quality Monitoring and Forecasting (10 papers), Hydrology and Watershed Management Studies (8 papers) and Water-Energy-Food Nexus Studies (7 papers). The work is most often cited by research in Environmental Engineering (4.2k citations), Ocean Engineering (1.8k citations), Water Science and Technology (964 citations), Environmental Chemistry (379 citations) and Global and Planetary Change (781 citations). Fi‐John Chang has collaborated with scholars based in Taiwan, China and Norway. Frequent co-authors include Li‐Chiu Chang, Yanlai Zhou, Ya-Ting Chang, I-Feng Kao, Yen‐Ming Chiang, Yen‐Chang Chen, Shenglian Guo, Li Chen, Pin-An Chen and Wen‐Ping Tsai. Their work appears in journals such as Journal of Hydrology, Hydrological Processes, The Science of The Total Environment, Water and Journal of Cleaner Production.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.