Yukai Ding
Impact in
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies
Papers in
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- Hydrological Forecasting Using AI 5
-
- Flood Risk Assessment and Management 5
- Co-authors
- Jun Feng (5 shared papers)Yuelong Zhu (3 shared papers)Pengcheng Zhang (1 shared paper)Yirui Wu (3 shared papers)Jiawei Gao (1 shared paper)Xiaoyi Bao (1 shared paper)Yiji Lu (1 shared paper)Dingyong Zhong (1 shared paper)
- Journals
- EURASIP Journal on Wireless Communications and Networking (1 paper)Applied Surface Science (1 paper)Neurocomputing (1 paper)Complexity (1 paper)Optica Applicata (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yukai Ding
10 papers receiving 402 citations
Yukai Ding's Hit Papers
Peers
Comparison fields: 5 of 69
- Environmental Engineering 211
- Water Science and Technology 136
- Global and Planetary Change 167
- Atmospheric Science 46
- Building and Construction 31
Countries citing papers authored by Yukai Ding
This map shows the geographic impact of Yukai Ding'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 Yukai Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukai Ding more than expected).
Fields of papers citing papers by Yukai Ding
This network shows the impact of papers produced by Yukai Ding. 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 Yukai Ding. The network helps show where Yukai Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Yukai Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Interpretable spatio-temporal attention LSTM model for flood forecasting Hit paper breakdown → | 2020 | 301 |
| 2 | 2019 | 30 | |
| 3 | 2020 | 19 | |
| 4 | 2020 | 17 | |
| 5 | Jacket effect on strain measurement accuracy for distributed strain sensors based on Brillouin scattering | 2006 | 14 |
| 6 | 2022 | 12 | |
| 7 | 2003 | 9 | |
| 8 | 2003 | 5 | |
| 9 | 2002 | 4 | |
| 10 | 2001 | 1 | |
| 11 | 2025 | 0 | |
| 12 | Design Study of LCLS Chirp-Control with a Corrugated Structure | 2014 | 0 |
About Yukai Ding
Yukai Ding is a scholar working on Environmental Engineering, Global and Planetary Change, Atomic and Molecular Physics, and Optics, Water Science and Technology and Aerospace Engineering, having authored 12 papers that have together received 412 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (5 papers), Hydrological Forecasting Using AI (5 papers), Hydrology and Watershed Management Studies (3 papers), Gyrotron and Vacuum Electronics Research (3 papers), Traffic Prediction and Management Techniques (2 papers), Particle accelerators and beam dynamics (2 papers), Advanced Fiber Optic Sensors (1 paper) and Microwave Engineering and Waveguides (1 paper). The work is most often cited by research in Environmental Engineering (211 citations), Water Science and Technology (136 citations), Global and Planetary Change (167 citations), Atmospheric Science (46 citations) and Building and Construction (31 citations). Yukai Ding has collaborated with scholars based in China and United States. Frequent co-authors include Jun Feng, Yuelong Zhu, Pengcheng Zhang, Yirui Wu, Jiawei Gao, Xiaoyi Bao, Yiji Lu, Dingyong Zhong, Chuang Hu and Yan Xiao. Their work appears in journals such as EURASIP Journal on Wireless Communications and Networking, Applied Surface Science, Neurocomputing, Complexity and Optica Applicata.
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.