Ming‐Daw Su

554 total citations
23 papers, 401 citations indexed

About

Ming‐Daw Su is a scholar working on Global and Planetary Change, Water Science and Technology and Economics and Econometrics. According to data from OpenAlex, Ming‐Daw Su has authored 23 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 8 papers in Water Science and Technology and 6 papers in Economics and Econometrics. Recurrent topics in Ming‐Daw Su's work include Flood Risk Assessment and Management (8 papers), Hydrology and Watershed Management Studies (6 papers) and Water resources management and optimization (5 papers). Ming‐Daw Su is often cited by papers focused on Flood Risk Assessment and Management (8 papers), Hydrology and Watershed Management Studies (6 papers) and Water resources management and optimization (5 papers). Ming‐Daw Su collaborates with scholars based in Taiwan and United States. Ming‐Daw Su's co-authors include Chun‐Hung A. Lin, Tzai‐Hung Wen, Ta‐Chien Chan, Po‐Huang Chiang, Chwan‐Chuen King, Neal H. Lin, Yen‐Hui Chiu, Albert Chen, Ke‐Sheng Cheng and Michael Liu and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Ming‐Daw Su

23 papers receiving 375 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming‐Daw Su Taiwan 10 150 89 64 63 47 23 401
Taravudh Tipdecho Thailand 8 110 0.7× 143 1.6× 29 0.5× 88 1.4× 19 0.4× 15 413
Chao Song China 15 182 1.2× 57 0.6× 20 0.3× 18 0.3× 20 0.4× 46 704
Liangxu Wang China 11 227 1.5× 137 1.5× 97 1.5× 23 0.4× 16 0.3× 26 645
Alexander Kolovos United States 13 160 1.1× 291 3.3× 43 0.7× 22 0.3× 17 0.4× 24 622
Hossein Zamanı Iran 16 204 1.4× 72 0.8× 105 1.6× 14 0.2× 27 0.6× 48 661
Quanli Xu China 13 336 2.2× 68 0.8× 58 0.9× 14 0.2× 7 0.1× 56 512
K. Balasubramani India 16 130 0.9× 123 1.4× 106 1.7× 110 1.7× 9 0.2× 53 618
Babak Mirbagheri Iran 12 137 0.9× 87 1.0× 28 0.4× 50 0.8× 9 0.2× 29 454
Sana Arshad Pakistan 13 144 1.0× 88 1.0× 30 0.5× 15 0.2× 11 0.2× 48 419
Zhixiang Xie China 15 209 1.4× 147 1.7× 95 1.5× 9 0.1× 9 0.2× 34 604

Countries citing papers authored by Ming‐Daw Su

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Daw Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Daw Su. 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 Ming‐Daw Su. The network helps show where Ming‐Daw Su may publish in the future.

Co-authorship network of co-authors of Ming‐Daw Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Daw Su. A scholar is included among the top collaborators of Ming‐Daw Su 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 Ming‐Daw Su. Ming‐Daw Su 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
1.
Lin, Chun‐Hung A., et al.. (2019). Application of geographic weighted regression to establish flood-damage functions reflecting spatial variation. Water SA. 34(2). 209–209. 20 indexed citations
2.
Lai, Jihn‐Sung, et al.. (2019). Using Tabu Search Adjusted with Urban Sewer Flood Simulation to Improve Pluvial Flood Warning via Rainfall Thresholds. Water. 11(2). 348–348. 7 indexed citations
3.
Chiu, Yen‐Hui, et al.. (2017). A flow-based statistical model integrating spatial and nonspatial dimensions to measure healthcare access. Health & Place. 47. 126–138. 39 indexed citations
4.
Su, Ming‐Daw, et al.. (2016). Water shortage risk assessment using spatiotemporal flow simulation. Geoscience Letters. 3(1). 2 indexed citations
5.
Chan, Ta‐Chien, et al.. (2014). Addressing Health Disparities in Chronic Kidney Disease. International Journal of Environmental Research and Public Health. 11(12). 12848–12865. 16 indexed citations
6.
Chan, Ta‐Chien, et al.. (2014). Geographic Disparity in Chronic Obstructive Pulmonary Disease (COPD) Mortality Rates among the Taiwan Population. PLoS ONE. 9(5). e98170–e98170. 28 indexed citations
7.
Su, Ming‐Daw, et al.. (2014). Multisite Spatiotemporal Streamflow Simulation - With an Application to Irrigation Water Shortage Risk Assessment. Terrestrial Atmospheric and Oceanic Sciences. 25(2). 255–255. 3 indexed citations
8.
Su, Ming‐Daw, et al.. (2009). Industrial and Commercial Depth-Damage Curve Assessment. 2 indexed citations
9.
Chang, Ching‐Cheng, et al.. (2008). Modeling Flood Perils and Flood Insurance Program in Taiwan. AgEcon Search (University of Minnesota, USA). 1 indexed citations
10.
Su, Yuan-Fong, et al.. (2008). A Multivariate Model for Coastal Water Quality Mapping Using Satellite Remote Sensing Images. Sensors. 8(10). 6321–6339. 23 indexed citations
11.
Wen, Tzai‐Hung, et al.. (2007). Analysis of Spatial Scenarios Aiding Decision Making for Regional Irrigation Water-Demand Planning. Journal of Irrigation and Drainage Engineering. 133(5). 455–467. 5 indexed citations
12.
Wen, Tzai‐Hung, Neal H. Lin, Chun‐Hung A. Lin, Chwan‐Chuen King, & Ming‐Daw Su. (2006). Spatial mapping of temporal risk characteristics to improve environmental health risk identification: A case study of a dengue epidemic in Taiwan. The Science of The Total Environment. 367(2-3). 631–640. 73 indexed citations
13.
Chen, Albert, et al.. (2005). A GRID-BASED GIS APPROACH TO REGIONAL FLOOD DAMAGE ASSESSMENT. 3 indexed citations
14.
Su, Ming‐Daw, et al.. (2005). A GRID-BASED GIS APPROACH TO REGIONAL FLOOD DAMAGE ASSESSMENT. Journal of marine science and technology. 13(3). 25 indexed citations
15.
Su, Ming‐Daw, et al.. (2005). LOSS FUNCTIONS AND FRAMEWORK FOR REGIONAL FLOOD DAMAGE ESTIMATION IN RESIDENTIAL AREA. Journal of marine science and technology. 13(3). 36 indexed citations
16.
Wen, Tzai‐Hung, et al.. (2004). A GIS-based framework of regional irrigation water demand assessment. Paddy and Water Environment. 2(1). 33–39. 4 indexed citations
17.
Su, Ming‐Daw, et al.. (2002). Long term cost of ownership: beyond purchase price (chip manufacture). 39–43. 13 indexed citations
18.
Su, Ming‐Daw & Tzai‐Hung Wen. (2001). Spatial Decision Support System for Irrigation Demand Planning. 1–11. 2 indexed citations
19.
Su, Ming‐Daw, et al.. (1994). Framework for application of geographic information system to the monitoring of dengue vectors.. PubMed. 10 Suppl. S94–101. 9 indexed citations
20.
Su, Ming‐Daw, et al.. (1991). Evaluation of municipal water supply operating rules using stochastic dominance. Water Resources Research. 27(7). 1519–1527. 1 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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