Pao‐Shan Yu

2.8k total citations
55 papers, 2.3k citations indexed

About

Pao‐Shan Yu is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Pao‐Shan Yu has authored 55 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Global and Planetary Change, 34 papers in Water Science and Technology and 21 papers in Environmental Engineering. Recurrent topics in Pao‐Shan Yu's work include Hydrology and Watershed Management Studies (33 papers), Flood Risk Assessment and Management (22 papers) and Hydrological Forecasting Using AI (20 papers). Pao‐Shan Yu is often cited by papers focused on Hydrology and Watershed Management Studies (33 papers), Flood Risk Assessment and Management (22 papers) and Hydrological Forecasting Using AI (20 papers). Pao‐Shan Yu collaborates with scholars based in Taiwan, Canada and Vietnam. Pao‐Shan Yu's co-authors include Shien‐Tsung Chen, Tao-Chang Yang, I‐Fan Chang, Tao‐Chang Yang, Chen-Min Kuo, Chun‐Chao Kuo, Hung-Wei Tseng, Quoc Bao Pham, Yu‐Chi Wang and Chia‐Jung Chen and has published in prestigious journals such as Journal of Hydrology, Monthly Weather Review and Sensors.

In The Last Decade

Pao‐Shan Yu

55 papers receiving 2.2k citations

Peers

Pao‐Shan Yu

GPC

WST

EEE

Gwo‐Fong Lin Taiwan

Mehmet Özger Türkiye

Alireza Moghaddam Nia Iran

K. S. Ramasastri India

A. K. Lohani India

Yan‐Fang Sang China

Shie‐Yui Liong Singapore

Elena Toth Italy

Hristos Tyralis Greece

Y. S. Li Hong Kong

Gwo‐Fong Lin Taiwan

Pao‐Shan Yu

1.3k ×1.0

GPC

1.3k ×1.2

873 ×0.8

WST

675 ×1.4

247 ×1.0

EEE

Citations per year, relative to Pao‐Shan Yu Pao‐Shan Yu (= 1×) peers Gwo‐Fong Lin

Countries citing papers authored by Pao‐Shan Yu

Since Specialization

Citations

This map shows the geographic impact of Pao‐Shan Yu'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 Pao‐Shan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pao‐Shan Yu more than expected).

Fields of papers citing papers by Pao‐Shan Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pao‐Shan Yu. 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 Pao‐Shan Yu. The network helps show where Pao‐Shan Yu may publish in the future.

Co-authorship network of co-authors of Pao‐Shan Yu

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

All Works

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20 of 20 papers shown

Pham, Quoc Bao, Tao-Chang Yang, Chen-Min Kuo, Hung-Wei Tseng, & Pao‐Shan Yu. (2021). Coupling Singular Spectrum Analysis with Least Square Support Vector Machine to Improve Accuracy of SPI Drought Forecasting. Water Resources Management. 35(3). 847–868. 39 indexed citations

Tseng, Hung-Wei, et al.. (2018). The responses of precipitation and streamflow to recent climate variations in the frigid and subtropical zones. Journal of Water and Climate Change. 11(1). 54–73. 1 indexed citations

Tseng, Hung-Wei, Thian Yew Gan, & Pao‐Shan Yu. (2015). Composite Drought Indices of Monotonic Behaviour for Assessing Potential Impact of Climate Change to a Water Resources System. Water Resources Management. 29(7). 2341–2359. 8 indexed citations

Yu, Pao‐Shan, et al.. (2015). Integration of Physiographic Drainage-Inundation Model and Nondominated Sorting Genetic Algorithm for Detention-Pond Optimization. Journal of Water Resources Planning and Management. 141(11). 9 indexed citations

Yu, Pao‐Shan, et al.. (2014). Climate change impacts on reservoir inflows and subsequent hydroelectric power generation for cascaded hydropower plants. Hydrological Sciences Journal. 59(6). 1196–1212. 13 indexed citations

Yu, Pao‐Shan, et al.. (2013). Flood warning by ensemble of multiple hydrological models: a case study for Typhoon Morakot. Journal of the Chinese Institute of Engineers. 37(5). 570–581. 1 indexed citations

Jang, Jiun‐Huei, et al.. (2010). Flood Prevention Strategy in Taiwan: Lessons Learned from Typhoon Morakot. Journal of Disaster Research. 5(3). 325–329. 2 indexed citations

Kuo, Chun‐Chao, Thian Yew Gan, & Pao‐Shan Yu. (2010). Seasonal streamflow prediction by a combined climate-hydrologic system for river basins of Taiwan. Journal of Hydrology. 387(3-4). 292–303. 12 indexed citations

Wang, Yu‐Chi, Pao‐Shan Yu, & Tao‐Chang Yang. (2009). Comparison of genetic algorithms and shuffled complex evolution approach for calibrating distributed rainfall–runoff model. Hydrological Processes. 24(8). 1015–1026. 24 indexed citations

10.

Chen, Shien‐Tsung & Pao‐Shan Yu. (2007). Pruning of support vector networks on flood forecasting. Journal of Hydrology. 347(1-2). 67–78. 67 indexed citations

11.

Chen, Shien‐Tsung & Pao‐Shan Yu. (2007). Real-time probabilistic forecasting of flood stages. Journal of Hydrology. 340(1-2). 63–77. 71 indexed citations

12.

Yu, Pao‐Shan & Y.-Y. YU. (2005). 52. Updating Real-Time Flood Forecasting Using a Fuzzy Rule-Based Model. Tunnelling and Underground Space Technology. 15(2). 19–20. 6 indexed citations

13.

Yu, Pao‐Shan & Shien‐Tsung Chen. (2005). Updating Real-Time Flood Forecasting Using a Fuzzy Rule-Based Model/Mise à Jour de Prévision de Crue en Temps Réel Grâce à un Modèle à Base de Règles Floues. Hydrological Sciences Journal. 50(2). 37 indexed citations

14.

Yu, Pao‐Shan, et al.. (2005). The Potential of Fuzzy Multi-objective Model for Rainfall Forecasting from Typhoons. Natural Hazards. 34(2). 131–150. 13 indexed citations

15.

Yu, Pao‐Shan, et al.. (2004). Simulation of Flow Hydrographs at an Ungauged Site in Taiwan using a distributed rainfall-runoff model. ScholarsArchive (Brigham Young University). 1 indexed citations

16.

Yu, Pao‐Shan, et al.. (2004). Regional rainfall intensity formulas based on scaling property of rainfall. Journal of Hydrology. 295(1-4). 108–123. 105 indexed citations

17.

Yu, Pao‐Shan, Tao‐Chang Yang, & Chien‐Chih Chou. (2002). Effects of Climate Change on Evapotranspiration from Paddy Fields in Southern Taiwan. Climatic Change. 54(1-2). 165–179. 65 indexed citations

18.

Yu, Pao‐Shan, et al.. (2001). Comparison of uncertainty analysis methods for a distributed rainfall–runoff model. Journal of Hydrology. 244(1-2). 43–59. 99 indexed citations

19.

Yu, Pao‐Shan, et al.. (1997). A Study on Grid Based Distributed Rainfall Runoff Models. Water Resources Management. 11(2). 83–99. 16 indexed citations

20.

Yu, Pao‐Shan, et al.. (1996). A model to forecast flow with uncertainty analysis. Hydrological Sciences Journal. 41(3). 327–344. 17 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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