Yabin Sun

462 total citations
13 papers, 345 citations indexed

About

Yabin Sun is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Yabin Sun has authored 13 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 6 papers in Atmospheric Science and 6 papers in Global and Planetary Change. Recurrent topics in Yabin Sun's work include Hydrological Forecasting Using AI (6 papers), Meteorological Phenomena and Simulations (4 papers) and Climate variability and models (3 papers). Yabin Sun is often cited by papers focused on Hydrological Forecasting Using AI (6 papers), Meteorological Phenomena and Simulations (4 papers) and Climate variability and models (3 papers). Yabin Sun collaborates with scholars based in Singapore, Germany and Netherlands. Yabin Sun's 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 and has published in prestigious journals such as Journal of Hydrology, Hydrology and earth system sciences and International Journal for Numerical Methods in Fluids.

In The Last Decade

Yabin Sun

13 papers receiving 330 citations

Peers

Yabin Sun

GPC

WST

OCEAN

Salvatore Gabriele Italy

Jayant Nath Tripathi India

Liliane Bel France

Edward P. Campbell Australia

Bo Ranneby Sweden

Sebastián Solari Uruguay

Satoru Oishi Japan

Ilaria Prosdocimi United Kingdom

Silvia Puca Italy

Salvatore Gabriele Italy

Yabin Sun

321 ×2.2

GPC

102 ×0.7

138 ×1.5

WST

247 ×2.7

11 ×0.3

OCEAN

Citations per year, relative to Yabin Sun Yabin Sun (= 1×) peers Salvatore Gabriele

Countries citing papers authored by Yabin Sun

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Yabin Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yabin Sun. A scholar is included among the top collaborators of Yabin Sun 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 Yabin Sun. Yabin Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Sun, Yabin, et al.. (2021). Assess the Typhoon-driven Extreme Wave Conditions in Manila Bay through Numerical Simulation and Statistical Analysis. Applied Ocean Research. 109. 102565–102565. 7 indexed citations

Sun, Yabin, et al.. (2019). Deriving intensity–duration–frequency (IDF) curves using downscaled in situ rainfall assimilated with remote sensing data. Geoscience Letters. 6(1). 72 indexed citations

Corlett, Richard T., S. Y. Liong, Rudolf Meier, et al.. (2018). The biological, ecological and conservation significance of freshwater swamp forest in Singapore. Gardens’ Bulletin Singapore. 70(1). 9–31. 21 indexed citations

Raghavan, Srivatsan V., et al.. (2018). Future changes in rice yields over the Mekong River Delta due to climate change—Alarming or alerting?. Theoretical and Applied Climatology. 137(1-2). 545–555. 21 indexed citations

Sun, Yabin, et al.. (2016). Technical note: Application of artificial neural networks in groundwater table forecasting – a case study in a Singapore swamp forest. Hydrology and earth system sciences. 20(4). 1405–1412. 61 indexed citations

Wendi, Dadiyorto, et al.. (2016). An innovative approach to improve SRTM DEM using multispectral imagery and artificial neural network. Journal of Advances in Modeling Earth Systems. 8(2). 691–702. 41 indexed citations

Sun, Yabin, et al.. (2016). Development and Application of an Integrated Hydrological Model for Singapore Freshwater Swamp Forest. Procedia Engineering. 154. 1002–1009. 6 indexed citations

Sun, Yabin, et al.. (2014). Improving numerical forecast accuracy with ensemble Kalman filter and chaos theory: Case study on Ciliwung river model. Journal of Hydrology. 512. 540–548. 7 indexed citations

Sun, Yabin, Vladan Babovic, & Eng Soon Chan. (2012). Artificial neural networks as routine for error correction with an application in Singapore regional model. Ocean Dynamics. 62(5). 661–669. 6 indexed citations

10.

Sun, Yabin, Vladan Babovic, & Eng Soon Chan. (2010). Multi-step-ahead model error prediction using time-delay neural networks combined with chaos theory. Journal of Hydrology. 395(1-2). 109–116. 56 indexed citations

11.

Sun, Yabin, et al.. (2009). Efficient data assimilation method based on chaos theory and Kalman filter with an application in Singapore Regional Model. Journal of Hydro-environment Research. 3(2). 85–95. 4 indexed citations

12.

Sun, Yabin, et al.. (2008). Applying local model approach for tidal prediction in a deterministic model. International Journal for Numerical Methods in Fluids. 60(6). 651–667. 11 indexed citations

13.

Tang, Loon Ching, T. N. Goh, Yabin Sun, & H.L. Ong. (1999). Planning accelerated life tests for censored two-parameter exponential distributions. Naval Research Logistics (NRL). 46(2). 169–186. 32 indexed citations

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.

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