Shiang‐Jen Wu
- Global and Planetary Change top 5%
- Water Science and Technology top 5%
- Environmental Engineering top 10%
- Atmospheric Science top 10%
- Civil and Structural Engineering
- Co-authors
- Che-Hao ChangYeou‐Koung TungJinn‐Chuang YangGwo‐Fong LinJan‐Chi YangSamkele S. TfwalaPing XieXijun Wang
- Topics
- Flood Risk Assessment and Management (18 papers)Hydrology and Watershed Management Studies (12 papers)Precipitation Measurement and Analysis (9 papers)
- Journals
- Scientific ReportsJournal of HydrologyInternational Journal for Numerical Methods in Engineering
- Partner nations
- TaiwanSwitzerlandIndonesia
In The Last Decade
Shiang‐Jen Wu
31 papers receiving 376 citations
Peers
Comparison fields: 5 of 44
- Global and Planetary Change 290
- Water Science and Technology 208
- Environmental Engineering 121
- Atmospheric Science 105
- Civil and Structural Engineering 48
Countries citing papers authored by Shiang‐Jen Wu
This map shows the geographic impact of Shiang‐Jen Wu'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 Shiang‐Jen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiang‐Jen Wu more than expected).
Fields of papers citing papers by Shiang‐Jen Wu
This network shows the impact of papers produced by Shiang‐Jen Wu. 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 Shiang‐Jen Wu. The network helps show where Shiang‐Jen Wu may publish in the future.
Co-authorship network of co-authors of Shiang‐Jen Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shiang‐Jen Wu. A scholar is included among the top collaborators of Shiang‐Jen Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shiang‐Jen Wu. Shiang‐Jen Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | Application of Artificial Intelligence to Disaster Prevention and Early Warning of Urban Flooding | 1 |
| 12 | 4 | |
| 13 | Blending Gauge Data with CMORPH for a Global Daily Precipitation Analysis | 1 |
| 14 | 11 | |
| 15 | 19 | |
| 16 | 36 | |
| 17 | 13 | |
| 18 | 6 | |
| 19 | 44 | |
| 20 | 29 |
About Shiang‐Jen Wu
Shiang‐Jen Wu is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science, having authored 36 papers that have together received 385 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (18 papers), Hydrology and Watershed Management Studies (12 papers) and Precipitation Measurement and Analysis (9 papers). The work is most often cited by research in Water Science and Technology (208 citations), Global and Planetary Change (290 citations) and Environmental Engineering (121 citations). Shiang‐Jen Wu has collaborated with scholars based in Taiwan, Switzerland and Indonesia. Frequent co-authors include Che-Hao Chang, Yeou‐Koung Tung, Jinn‐Chuang Yang, Gwo‐Fong Lin, Jan‐Chi Yang, Samkele S. Tfwala, Ping Xie, Xijun Wang, Tung‐Lin Tsai and Jihn‐Sung Lai. Their work appears in journals such as Scientific Reports, Journal of Hydrology and International Journal for Numerical Methods in Engineering.
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.