Pao‐Shan Yu

2.8k citations
55 papers · 2.3k indexed · h-index 24
Topics
Hydrology and Watershed Management Studies (33 papers)Flood Risk Assessment and Management (22 papers)Hydrological Forecasting Using AI (20 papers)
Partner nations
TaiwanCanadaVietnam

In The Last Decade

Pao‐Shan Yu

55 papers receiving 2.2k citations

Peers

Pao‐Shan Yu
Comparison fields: 5 of 121
  • Global and Planetary Change 1.3k
  • Environmental Engineering 1.1k
  • Water Science and Technology 1.0k
  • Atmospheric Science 489
  • Electrical and Electronic Engineering 254
Replace Gwo‐Fong Lin with:
Gwo‐Fong Lin Taiwan
Shie‐Yui Liong Singapore
A. K. Lohani India
Rana Muhammad Adnan China
Mohammad Ali Ghorbani Iran
Yan‐Fang Sang China
K. S. Ramasastri India
Ali Danandeh Mehr Türkiye
Alireza Moghaddam Nia Iran
Babak Mohammadi Sweden
Pao‐Shan Yu relative to Gwo‐Fong Lin Taiwan Gwo‐Fong Lin's profile →
Citations per field
00.5×1.5×
Gwo‐Fong Lin · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 39
2 1
3 8
4 9
5 13
6 1
7 2
8 12
9 24
10 67
11 71
12
52. Updating Real-Time Flood Forecasting Using a Fuzzy Rule-Based Model
6
13 37
14 13
15
Simulation of Flow Hydrographs at an Ungauged Site in Taiwan using a distributed rainfall-runoff model
1
16 105
17 65
18 99
19 16
20 17

About Pao‐Shan Yu

Pao‐Shan Yu is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (33 papers), Flood Risk Assessment and Management (22 papers) and Hydrological Forecasting Using AI (20 papers). The work is most often cited by research in Environmental Engineering (1.1k citations), Water Science and Technology (1.0k citations) and Global and Planetary Change (1.3k citations). Pao‐Shan Yu has collaborated with scholars based in Taiwan, Canada and Vietnam. Frequent 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. Their work appears in journals such as Journal of Hydrology, Monthly Weather Review and Sensors.

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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