Sung Min

884 total citations
29 papers, 736 citations indexed

About

Sung Min is a scholar working on Water Science and Technology, Environmental Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Sung Min has authored 29 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Water Science and Technology, 14 papers in Environmental Engineering and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Sung Min's work include Urban Stormwater Management Solutions (11 papers), Water Quality and Pollution Assessment (10 papers) and Hydrology and Watershed Management Studies (9 papers). Sung Min is often cited by papers focused on Urban Stormwater Management Solutions (11 papers), Water Quality and Pollution Assessment (10 papers) and Hydrology and Watershed Management Studies (9 papers). Sung Min collaborates with scholars based in South Korea and United States. Sung Min's co-authors include Joon Ha Kim, Kyung Hwa Cho, Yongeun Park, Joo‐Hyon Kang, Seung Won Lee, Seo Jin Ki, Jihwan Park, Young Geun Lee, Yun Seok Lee and Jungwoo Kim and has published in prestigious journals such as The Science of The Total Environment, Water Research and Journal of Environmental Management.

In The Last Decade

Sung Min

23 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung Min South Korea 11 502 298 168 143 82 29 736
Dongil Seo South Korea 14 430 0.9× 202 0.7× 289 1.7× 88 0.6× 128 1.6× 70 785
Matthew Ascott United Kingdom 14 397 0.8× 276 0.9× 276 1.6× 80 0.6× 37 0.5× 34 868
Rachel Cassidy United Kingdom 17 427 0.9× 186 0.6× 399 2.4× 112 0.8× 45 0.5× 54 945
Mary G. Lusk United States 13 224 0.4× 339 1.1× 196 1.2× 171 1.2× 109 1.3× 50 774
R. Bhutiani India 13 534 1.1× 233 0.8× 89 0.5× 125 0.9× 26 0.3× 74 875
Dilip Shinde United States 10 435 0.9× 215 0.7× 78 0.5× 101 0.7× 27 0.3× 22 812
D. R. Khanna India 12 436 0.9× 166 0.6× 97 0.6× 96 0.7× 26 0.3× 59 739
Xikang Hou China 11 196 0.4× 125 0.4× 198 1.2× 64 0.4× 72 0.9× 22 590
Chun Gyeong Yoon South Korea 12 300 0.6× 129 0.4× 191 1.1× 142 1.0× 35 0.4× 42 611

Countries citing papers authored by Sung Min

Since Specialization
Citations

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

Fields of papers citing papers by Sung Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Min. 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 Sung Min. The network helps show where Sung Min may publish in the future.

Co-authorship network of co-authors of Sung Min

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Min. A scholar is included among the top collaborators of Sung Min 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 Sung Min. Sung Min 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
2.
3.
Min, Sung & Seung Won Lee. (2020). Advanced hydrological streamflow simulation in a watershed using adjusted radar-rainfall estimates as meteorological input data. Journal of Environmental Management. 277. 111393–111393. 7 indexed citations
4.
Lee, Young Han, et al.. (2019). Soil microbial communities of Japanese apricot (Prunus mume) orchard under organic and conventional management. Applied Biological Chemistry. 62(1). 5 indexed citations
6.
Din, Aamir Alaud, Yongeun Park, Seung Won Lee, et al.. (2015). Finding sources and sinks of fluorescent dissolved organic matter in a riverine system using parallel factor model. Desalination and Water Treatment. 57(43). 20199–20209. 1 indexed citations
7.
Park, Yongeun, Kyung Hwa Cho, Jihwan Park, Sung Min, & Joon Ha Kim. (2014). Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea. The Science of The Total Environment. 502. 31–41. 214 indexed citations
8.
Min, Sung, Seung Won Lee, Yongeun Park, & Joon Ha Kim. (2013). Characterizing particle size distribution of nonpoint source pollutants in an agricultural area. Desalination and Water Treatment. 51(19-21). 4138–4145. 1 indexed citations
9.
Guo, Hong, Seungjae Oh, Sung Min, et al.. (2013). Advanced total phosphorus removal approach: system design and combined sewer overflows (CSOs) sludge application. Desalination and Water Treatment. 51(19-21). 4072–4080.
10.
Min, Sung, et al.. (2012). Investigation of stormwater runoff strength in an agricultural area, Korea. Desalination and Water Treatment. 38(1-3). 360–365. 8 indexed citations
11.
Min, Sung, et al.. (2012). Investigation of stormwater runoff strength in an agricultural area, Korea. Desalination and Water Treatment. 38(1-3). 389–394. 7 indexed citations
12.
Cho, Kyung Hwa, Sung Min, Joo‐Hyon Kang, et al.. (2010). Meteorological effects on the levels of fecal indicator bacteria in an urban stream: A modeling approach. Water Research. 44(7). 2189–2202. 84 indexed citations
13.
Kang, Joo‐Hyon, Seung Won Lee, Kyung Hwa Cho, et al.. (2010). Linking land-use type and stream water quality using spatial data of fecal indicator bacteria and heavy metals in the Yeongsan river basin. Water Research. 44(14). 4143–4157. 154 indexed citations
14.
Cho, Kyung Hwa, Dukki Han, Yongeun Park, et al.. (2010). Evaluation of the relationship between two different methods for enumeration fecal indicator bacteria: Colony-forming unit and most probable number. Journal of Environmental Sciences. 22(6). 846–850. 28 indexed citations
15.
Lee, Young Geun, Joo‐Hyon Kang, Seo Jin Ki, et al.. (2010). Factors dominating stratification cycle and seasonal water quality variation in a Korean estuarine reservoir. Journal of Environmental Monitoring. 12(5). 1072–1072. 25 indexed citations
16.
Cho, Kyung Hwa, Joo‐Hyon Kang, Seo Jin Ki, et al.. (2009). Determination of the optimal parameters in regression models for the prediction of chlorophyll-a: A case study of the Yeongsan Reservoir, Korea. The Science of The Total Environment. 407(8). 2536–2545. 42 indexed citations
17.
Kang, Joo‐Hyon, Young Geun Lee, Keun‐Young Lee, et al.. (2009). Factors affecting metal exchange between sediment and water in an estuarine reservoir: A spatial and seasonal observation. Journal of Environmental Monitoring. 11(11). 2058–2058. 9 indexed citations
18.
Lee, Young Geun, Kwang‐Guk An, Phuc Thi Ha, et al.. (2009). Decadal and seasonal scale changes of an artificial lake environment after blocking tidal flows in the Yeongsan Estuary region, Korea. The Science of The Total Environment. 407(23). 6063–6072. 32 indexed citations
19.
Kang, Joo‐Hyon, Yun Seok Lee, Seo Jin Ki, et al.. (2009). Characteristics of wet and dry weather heavy metal discharges in the Yeongsan Watershed, Korea. The Science of The Total Environment. 407(11). 3482–3493. 45 indexed citations
20.
Min, Sung, Seo Jin Ki, Kyung Hwa Cho, Heechul Choi, & Joon Ha Kim. (2009). Effect of environmental flow management on river water quality: a case study at Yeongsan River, Korea. Water Science & Technology. 59(12). 2437–2446. 11 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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