Sang Ug Kim

436 total citations
22 papers, 352 citations indexed

About

Sang Ug Kim is a scholar working on Global and Planetary Change, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, Sang Ug Kim has authored 22 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 8 papers in Water Science and Technology and 7 papers in Ocean Engineering. Recurrent topics in Sang Ug Kim's work include Hydrology and Drought Analysis (10 papers), Hydrology and Watershed Management Studies (7 papers) and Water resources management and optimization (6 papers). Sang Ug Kim is often cited by papers focused on Hydrology and Drought Analysis (10 papers), Hydrology and Watershed Management Studies (7 papers) and Water resources management and optimization (6 papers). Sang Ug Kim collaborates with scholars based in South Korea, United States and Nigeria. Sang Ug Kim's co-authors include ‪Eun‐Sung Chung, Kil Seong Lee, Yeonjoo Kim, Sangho Lee, Minwoo Son, Jang Hyun Sung, Mohammed Sanusi Shiru, Xiao Yu, Woo Seok Lee and Gunwoo Kim and has published in prestigious journals such as Construction and Building Materials, AIChE Journal and Resources Conservation and Recycling.

In The Last Decade

Sang Ug Kim

21 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang Ug Kim South Korea 10 163 148 65 59 45 22 352
Lihua Feng China 10 127 0.8× 147 1.0× 60 0.9× 45 0.8× 80 1.8× 35 390
Antonia Hadjimichael United States 12 176 1.1× 136 0.9× 120 1.8× 38 0.6× 56 1.2× 22 385
Julie Shortridge United States 11 243 1.5× 239 1.6× 95 1.5× 24 0.4× 171 3.8× 25 504
Qiang Zou China 10 333 2.0× 220 1.5× 70 1.1× 45 0.8× 174 3.9× 17 652
Ghodousi Jamal Iran 8 149 0.9× 220 1.5× 63 1.0× 22 0.4× 82 1.8× 25 466
Wenhua Wan China 15 208 1.3× 285 1.9× 184 2.8× 53 0.9× 62 1.4× 35 561
James Phillip King United States 11 90 0.6× 158 1.1× 50 0.8× 58 1.0× 118 2.6× 13 396
Charles Rougé United Kingdom 13 187 1.1× 239 1.6× 196 3.0× 25 0.4× 83 1.8× 25 450
Babak Aminnejad Iran 11 120 0.7× 82 0.6× 47 0.7× 45 0.8× 87 1.9× 51 403
Ari Jolma Finland 13 110 0.7× 68 0.5× 157 2.4× 13 0.2× 50 1.1× 28 427

Countries citing papers authored by Sang Ug Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sang Ug Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang Ug Kim. 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 Sang Ug Kim. The network helps show where Sang Ug Kim may publish in the future.

Co-authorship network of co-authors of Sang Ug Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Ug Kim. A scholar is included among the top collaborators of Sang Ug Kim 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 Sang Ug Kim. Sang Ug Kim 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.
Kim, Sang Ug & Dongil Seo. (2025). Comparison of the drought return periods by univariate, bivariate probability distribution, and copula function under SSPs scenarios. Theoretical and Applied Climatology. 156(1). 5 indexed citations
2.
Yun, Kyong-Ku, et al.. (2022). Rheological based interpretation of shotcrete pumpability and shootability. Construction and Building Materials. 328. 127073–127073. 13 indexed citations
3.
Sung, Jang Hyun, et al.. (2021). Comparison of Projection in Meteorological and Hydrological Droughts in the Cheongmicheon Watershed for RCP4.5 and SSP2-4.5. Sustainability. 13(4). 2066–2066. 27 indexed citations
4.
Kim, Sang Ug, et al.. (2021). Incorporation of Cost-Benefit Analysis Considering Epistemic Uncertainty for Calculating the Optimal Design Flood. Water Resources Management. 35(2). 757–774. 6 indexed citations
5.
6.
Kim, Sang Ug, Minwoo Son, ‪Eun‐Sung Chung, & Xiao Yu. (2018). Effects of Non-Stationarity on Flood Frequency Analysis: Case Study of the Cheongmicheon Watershed in South Korea. Sustainability. 10(5). 1329–1329. 4 indexed citations
7.
Jung, Seon Yeop, et al.. (2017). Chaotic mixing in a barrier‐embedded partitioned pipe mixer. AIChE Journal. 64(2). 717–729. 17 indexed citations
8.
9.
Son, Minwoo, et al.. (2016). Effect of Particle Size on Calibration of Schmidt Number. Journal of Coastal Research. 75(sp1). 148–152. 1 indexed citations
10.
Kim, Sang Ug, et al.. (2015). Flood Frequency Analysis Considering Probability Distribution and Return Period under Non-stationary Condition. Journal of Korea Water Resources Association. 48(7). 567–579. 3 indexed citations
11.
Kim, Sang Ug, et al.. (2014). Estimation of the Regional Future Sea Level Rise Using Long-term Tidal Data in the Korean Peninsula. Journal of Korea Water Resources Association. 47(9). 753–766. 4 indexed citations
12.
Kim, Sang Ug, et al.. (2014). The Application of Various Non-parametric Trend Tests to Observed and Future Rainfall Data in the Nakdong River Basin. Journal of Korea Water Resources Association. 47(3). 223–235. 2 indexed citations
13.
Kim, Gunwoo, et al.. (2013). Stochastic reliability analysis of armor units of rubble-mound breakwaters under the multiple loads. Journal of Coastal Research. 65. 308–313. 6 indexed citations
14.
Kim, Sang Ug, et al.. (2013). Time-dependent reliability analysis using Bayesian MCMC on the reduction of reservoir storage by sedimentation. Stochastic Environmental Research and Risk Assessment. 28(3). 639–654. 13 indexed citations
15.
Chung, ‪Eun‐Sung & Sang Ug Kim. (2013). Bayesian rainfall frequency analysis with extreme value using the informative prior distribution. KSCE Journal of Civil Engineering. 17(6). 1502–1514. 9 indexed citations
16.
Kim, Sang Ug, et al.. (2013). Uncertainty analysis on extreme value analysis of significant wave height at eastern coast of Korea. Applied Ocean Research. 41. 19–27. 6 indexed citations
17.
Kim, Sang Ug, et al.. (2013). Stochastic Probability Model for Preventive Management of Armor Units of Rubble-Mound Breakwaters. Journal of the Korean Society of Civil Engineers. 33(3). 1007–1015. 2 indexed citations
18.
Kim, Sang Ug & Kil Seong Lee. (2009). Regional low flow frequency analysis using Bayesian regression and prediction at ungauged catchment in Korea. KSCE Journal of Civil Engineering. 14(1). 87–98. 21 indexed citations
19.
Lee, Woo Seok, Kil Seong Lee, Sang Ug Kim, & ‪Eun‐Sung Chung. (2009). The Development of Rating Curve Considering Variance Function Using Pseudo-likelihood Estimation Method. Water Resources Management. 24(2). 321–348. 14 indexed citations
20.
Lee, Kil Seong & Sang Ug Kim. (2007). Identification of uncertainty in low flow frequency analysis using Bayesian MCMC method. Hydrological Processes. 22(12). 1949–1964. 52 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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