Sung Min

884 citations
29 papers · 736 · h-index 11

Impact in

    • Water Quality and Pollution Assessment
    • Water Quality Monitoring Technologies
    • Hydrology and Watershed Management Studies
    • Fecal contamination and water quality
    • Hydrological Forecasting Using AI
    • Urban Stormwater Management Solutions

Papers in

Sung Min

23 papers receiving 704 citations

Peers

Sung Min
Comparison fields: 5 of 78
  • Water Science and Technology 502
  • Environmental Engineering 298
  • Environmental Chemistry 168
  • Industrial and Manufacturing Engineering 143
  • Geochemistry and Petrology 49
Replace Rachel Cassidy with:
Rachel Cassidy United Kingdom
Mary G. Lusk United States
Xikang Hou China
Anna Lintern Australia
M. Loewenthal United Kingdom
D. R. Khanna India
Chun Gyeong Yoon South Korea
Paul D. Robillard United States
Dilip Shinde United States
Sung Min relative to Rachel Cassidy United Kingdom Rachel Cassidy's profile →
Citations per field
00.5×1.6×
Rachel Cassidy · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sung Min, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sung Min Line = papers co-authored together Sung Min links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014214
2 2010154
3 201084
4 200945
5 200942
6 200932
7 201028
8 201025
9 201015
10 202014
11 200911
12 201410
13 200910
14 20099
15 20128
16 20207
17 20127
18 20195
19 20165
20 20104

About Sung Min

Sung Min is a scholar working on Water Science and Technology, Environmental Engineering, Industrial and Manufacturing Engineering, Environmental Chemistry and Pollution, having authored 29 papers that have together received 736 indexed citations. Recurring topics across this work include Urban Stormwater Management Solutions (11 papers), Water Quality and Pollution Assessment (10 papers), Hydrology and Watershed Management Studies (9 papers), Agriculture, Soil, Plant Science (4 papers), Ecology and Conservation Studies (3 papers), Soil and Water Nutrient Dynamics (3 papers), Water Quality Monitoring and Analysis (3 papers) and Water Quality Monitoring Technologies (2 papers). The work is most often cited by research in Water Science and Technology (502 citations), Environmental Engineering (298 citations), Environmental Chemistry (168 citations), Industrial and Manufacturing Engineering (143 citations) and Geochemistry and Petrology (49 citations). Sung Min has collaborated with scholars based in South Korea and United States. Frequent 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. Their work appears in journals such as Water Science & Technology, The Science of The Total Environment, Water Research, Ecological Engineering and Water.

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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