Shang‐Shu Shih

729 total citations
39 papers, 551 citations indexed

About

Shang‐Shu Shih is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Shang‐Shu Shih has authored 39 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Ecology, 11 papers in Global and Planetary Change and 10 papers in Environmental Engineering. Recurrent topics in Shang‐Shu Shih's work include Coastal wetland ecosystem dynamics (20 papers), Coastal and Marine Dynamics (10 papers) and Flood Risk Assessment and Management (9 papers). Shang‐Shu Shih is often cited by papers focused on Coastal wetland ecosystem dynamics (20 papers), Coastal and Marine Dynamics (10 papers) and Flood Risk Assessment and Management (9 papers). Shang‐Shu Shih collaborates with scholars based in Taiwan, United States and South Africa. Shang‐Shu Shih's co-authors include Hong‐Yuan Lee, Sheng-Chi Yang, Hwey‐Lian Hsieh, Chang-Po Chen, Marinus L. Otte, Janine B. Adams, Wei‐Ta Fang, Tsang‐Jung Chang, Hsing‐Juh Lin and Cheng‐Chang Chen and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and Journal of Environmental Management.

In The Last Decade

Shang‐Shu Shih

37 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shang‐Shu Shih Taiwan 15 372 135 130 101 98 39 551
Ping Zuo China 10 274 0.7× 26 0.2× 199 1.5× 36 0.4× 83 0.8× 16 496
Rupesh K. Bhomia United States 13 598 1.6× 86 0.6× 163 1.3× 166 1.6× 31 0.3× 24 721
Robin L. Miller United States 11 299 0.8× 50 0.4× 217 1.7× 45 0.4× 39 0.4× 15 502
A. M. Hoguane Mozambique 12 148 0.4× 48 0.4× 130 1.0× 71 0.7× 27 0.3× 37 419
Anne E. Altor United States 6 404 1.1× 144 1.1× 137 1.1× 24 0.2× 41 0.4× 11 571
Xingxing Han China 12 350 0.9× 71 0.5× 379 2.9× 33 0.3× 95 1.0× 21 778
Sheng-Chi Yang Taiwan 10 141 0.4× 79 0.6× 164 1.3× 34 0.3× 75 0.8× 13 365
R. Sánchez-Andrés Spain 10 237 0.6× 26 0.2× 137 1.1× 38 0.4× 36 0.4× 14 417
Michael DeWitt United States 3 634 1.7× 38 0.3× 282 2.2× 248 2.5× 69 0.7× 3 873

Countries citing papers authored by Shang‐Shu Shih

Since Specialization
Citations

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

Fields of papers citing papers by Shang‐Shu Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shang‐Shu Shih. 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 Shang‐Shu Shih. The network helps show where Shang‐Shu Shih may publish in the future.

Co-authorship network of co-authors of Shang‐Shu Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Shang‐Shu Shih. A scholar is included among the top collaborators of Shang‐Shu Shih 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 Shang‐Shu Shih. Shang‐Shu Shih 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.
Hsu, Yao‐Wen & Shang‐Shu Shih. (2024). High-accuracy and low-disturbance approach for identifying surface water and groundwater interactions in wetlands. Journal of Hydrology. 643. 132032–132032.
2.
Shih, Shang‐Shu, et al.. (2023). Waterline digital elevation model development to quantify inundation duration and coastal protection of tidal wetlands. The Science of The Total Environment. 874. 162519–162519. 5 indexed citations
3.
Shih, Shang‐Shu & Kuan-Ying Lee. (2023). Time-series-based habitat model development for surface water management on endangered aquatic plant Isoetes taiwanensis conservation in mountain wetlands. Ecological Indicators. 154. 110489–110489. 1 indexed citations
4.
Shih, Shang‐Shu, et al.. (2022). Nature-based solutions on floodplain restoration with coupled propagule dispersal simulation and stepping-stone approach to predict mangrove encroachment in an estuary. The Science of The Total Environment. 851(Pt 1). 158097–158097. 11 indexed citations
5.
Lee, Kuan-Ying, et al.. (2022). Mangrove colonization on tidal flats causes straightened tidal channels and consequent changes in the hydrodynamic gradient and siltation potential. Journal of Environmental Management. 314. 115058–115058. 6 indexed citations
6.
Shih, Shang‐Shu, et al.. (2021). Restoration recommendations for mitigating habitat fragmentation of a river corridor. Journal of Environmental Management. 296. 113197–113197. 26 indexed citations
7.
Shih, Shang‐Shu & Po‐Chih Chen. (2021). Identifying tree characteristics to determine the blocking effects of water conveyance for natural flood management in urban rivers. Journal of Flood Risk Management. 14(4). 8 indexed citations
8.
Shih, Shang‐Shu, et al.. (2021). Spatiotemporal characteristics of hydraulic performance and contaminant transport in treatment wetlands. Journal of Contaminant Hydrology. 243. 103891–103891. 3 indexed citations
9.
Shih, Shang‐Shu, et al.. (2021). Geomorphological dynamics of tidal channels and flats in mangrove swamps. Estuarine Coastal and Shelf Science. 265. 107704–107704. 8 indexed citations
10.
Shih, Shang‐Shu, et al.. (2020). Flow uniformity metrics for quantifying the hydraulic and treatment performance of constructed wetlands. Ecological Engineering. 155. 105942–105942. 14 indexed citations
11.
Shih, Shang‐Shu. (2020). Spatial Habitat Suitability Models of Mangroves with Kandelia obovata. Forests. 11(4). 477–477. 20 indexed citations
12.
Shih, Shang‐Shu, et al.. (2019). A nonstructural flood prevention measure for mitigating urban inundation impacts along with river flooding effects. Journal of Environmental Management. 251. 109553–109553. 16 indexed citations
13.
Shih, Shang‐Shu, et al.. (2017). Tracer Experiments and Hydraulic Performance Improvements in a Treatment Pond. Water. 9(2). 137–137. 12 indexed citations
14.
Fang, Wei‐Ta, Bai‐You Cheng, Shang‐Shu Shih, Jui‐Yu Chou, & Marinus L. Otte. (2015). Modeling driving forces of avian diversity in a spatial configuration surrounded by farm ponds. Paddy and Water Environment. 14(1). 185–197. 10 indexed citations
15.
Fang, Wei‐Ta, Chin-Wei Huang, Jui‐Yu Chou, Bai‐You Cheng, & Shang‐Shu Shih. (2015). Low Carbon Footprint Routes for Bird Watching. Sustainability. 7(3). 3290–3310. 4 indexed citations
16.
Yang, Sheng-Chi, Taryn Riddin, Janine B. Adams, & Shang‐Shu Shih. (2014). Predicting the spatial distribution of mangroves in a South African estuary in response to sea level rise, substrate elevation change and a sea storm event. Journal of Coastal Conservation. 18(4). 459–469. 15 indexed citations
17.
Yang, Sheng-Chi, et al.. (2013). The salinity gradient influences on the inundation tolerance thresholds of mangrove forests. Ecological Engineering. 51. 59–65. 40 indexed citations
18.
Shih, Shang‐Shu, et al.. (2013). Determining Water Depth of Detention Wetlands from Aspect of Hydraulic Efficiency. 2(1). 1–15. 1 indexed citations
19.
Shih, Shang‐Shu, et al.. (2009). Where Will All the Sediments go? Impressions from Balin Dam Failure in Taiwan. 2 indexed citations
20.
Yang, Sheng-Chi, et al.. (2009). Optimal design for hydraulic efficiency performance of free-water-surface constructed wetlands. Ecological Engineering. 35(8). 1200–1207. 85 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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