Yabin Sun
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI 6
- Global and Planetary Change top 10%
- Climate variability and models 3
- Hydrology and Drought Analysis 2
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies 2
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- Meteorological Phenomena and Simulations 4
- Tropical and Extratropical Cyclones Research 2
- Statistics and Probability top 10%
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- Neural Networks and Applications 2
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- Energy Load and Power Forecasting 2
- Co-authors
- Shie‐Yui LiongDadiyorto WendiEng Soon ChanVladan BabovicH.L. OngLoon Ching TangT. N. GohSrivatsan V. Raghavan
- Journals
- Journal of Hydrology (2 papers)Hydrology and earth system sciences (1 paper)International Journal for Numerical Methods in Fluids (1 paper)
- Partner nations
- SingaporeGermanyNetherlands
In The Last Decade
Yabin Sun
13 papers receiving 330 citations
Peers
Comparison fields: 5 of 54
- Environmental Engineering 142
- Global and Planetary Change 147
- Water Science and Technology 94
- Atmospheric Science 91
- Statistics and Probability 29
Countries citing papers authored by Yabin Sun
This map shows the geographic impact of Yabin Sun'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 Yabin Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yabin Sun more than expected).
Fields of papers citing papers by Yabin Sun
This network shows the impact of papers produced by Yabin Sun. 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 Yabin Sun. The network helps show where Yabin Sun may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Yabin Sun, 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 | 2021 | 7 | |
| 2 | 2019 | 72 | |
| 3 | 2018 | 21 | |
| 4 | 2018 | 21 | |
| 5 | 2016 | 61 | |
| 6 | 2016 | 41 | |
| 7 | 2016 | 6 | |
| 8 | 2014 | 7 | |
| 9 | 2012 | 6 | |
| 10 | 2010 | 56 | |
| 11 | 2009 | 4 | |
| 12 | 2008 | 11 | |
| 13 | 1999 | 32 |
About Yabin Sun
Yabin Sun is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change, having authored 13 papers that have together received 345 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (6 papers), Meteorological Phenomena and Simulations (4 papers), Climate variability and models (3 papers), Hydrology and Drought Analysis (2 papers), Neural Networks and Applications (2 papers), Hydrology and Watershed Management Studies (2 papers), Energy Load and Power Forecasting (2 papers) and Tropical and Extratropical Cyclones Research (2 papers). The work is most often cited by research in Environmental Engineering (142 citations), Global and Planetary Change (147 citations) and Water Science and Technology (94 citations). Yabin Sun has collaborated with scholars based in Singapore, Germany and Netherlands. Frequent co-authors include Shie‐Yui Liong, Dadiyorto Wendi, Eng Soon Chan, Vladan Babovic, H.L. Ong, Loon Ching Tang, T. N. Goh, Srivatsan V. Raghavan, Sorain J. Ramchunder and Anton Wasson. Their work appears in journals such as Journal of Hydrology, Hydrology and earth system sciences and International Journal for Numerical Methods in Fluids.
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.