Soonju Yu

536 total citations
55 papers, 395 citations indexed

About

Soonju Yu is a scholar working on Water Science and Technology, Environmental Chemistry and Industrial and Manufacturing Engineering. According to data from OpenAlex, Soonju Yu has authored 55 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Water Science and Technology, 18 papers in Environmental Chemistry and 13 papers in Industrial and Manufacturing Engineering. Recurrent topics in Soonju Yu's work include Water Quality and Pollution Assessment (21 papers), Water Quality Monitoring and Analysis (12 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (10 papers). Soonju Yu is often cited by papers focused on Water Quality and Pollution Assessment (21 papers), Water Quality Monitoring and Analysis (12 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (10 papers). Soonju Yu collaborates with scholars based in South Korea, United States and Hong Kong. Soonju Yu's co-authors include Seunghyun Lee, Jaewoong Lee, Yong-Chul Cho, Sang Hun Kim, Sang‐Hun Kim, Minji Park, Se‐Woong Chung, Eun Hee Lee, Inhong Song and Chun Gyeong Yoon and has published in prestigious journals such as The Science of The Total Environment, International Journal of Environmental Research and Public Health and Sustainability.

In The Last Decade

Soonju Yu

50 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soonju Yu South Korea 10 205 102 100 80 73 55 395
Wenqiang Zhang China 13 179 0.9× 101 1.0× 203 2.0× 80 1.0× 39 0.5× 21 414
Linlin Bao China 12 116 0.6× 90 0.9× 123 1.2× 129 1.6× 41 0.6× 14 397
Chao Lin China 6 131 0.6× 50 0.5× 82 0.8× 83 1.0× 53 0.7× 13 355
Seyhan Ahıska Türkiye 8 258 1.3× 62 0.6× 47 0.5× 51 0.6× 90 1.2× 12 404
Francisco José de Paula Filho Brazil 11 228 1.1× 39 0.4× 67 0.7× 139 1.7× 47 0.6× 36 481
Sandra M. Bachand United States 15 106 0.5× 101 1.0× 85 0.8× 57 0.7× 84 1.2× 24 444
Bryan M. Maxwell United States 11 117 0.6× 113 1.1× 129 1.3× 136 1.7× 47 0.6× 20 323
Nele Desmet Belgium 10 94 0.5× 46 0.5× 108 1.1× 105 1.3× 36 0.5× 18 326
Lisa D. Olsen United States 8 138 0.7× 48 0.5× 71 0.7× 91 1.1× 126 1.7× 21 326

Countries citing papers authored by Soonju Yu

Since Specialization
Citations

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

Fields of papers citing papers by Soonju Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soonju Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Soonju Yu. A scholar is included among the top collaborators of Soonju Yu 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 Soonju Yu. Soonju Yu 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.
Yu, Soonju, et al.. (2021). Occurrence and phylogenetic analysis of Pseudanabaena sp. producing 2‐methylisoborneol in drinking water source of South Korea. Environmental Microbiology Reports. 14(2). 197–202. 9 indexed citations
2.
Kim, Sang Hun, et al.. (2021). Spatio-Temporal Distribution and Influencing Factors of Human and Veterinary Pharmaceuticals in the Tributary Surface Waters of the Han River Watershed, South Korea. International Journal of Environmental Research and Public Health. 18(15). 7969–7969. 3 indexed citations
4.
Kim, Sang Hun, et al.. (2020). Temporal-spatial variation and environmental risk assessment of pharmaceuticals in tributaries of the Han River watershed, South Korea. The Science of The Total Environment. 741. 140486–140486. 26 indexed citations
5.
Lee, Eun Hee, et al.. (2020). Pharmaceutical compounds in tributaries of the Han River watershed, South Korea. Environmental Research. 188. 109758–109758. 18 indexed citations
6.
Cho, Yong-Chul, et al.. (2019). A Study on Grade Classification for Improvement of Water Quality and Water Quality Characteristics in the Han River Watershed Tributaries. Journal of Environmental Impact Assessment. 28(3). 215–230. 3 indexed citations
7.
Jung, Wooseok, et al.. (2019). Analysis of Load Duration Curve Using Long Time Flow Measurement Data of Kyeongancheon. Journal of Environmental Impact Assessment. 28(1). 35–48. 1 indexed citations
9.
Cho, Yong-Chul, et al.. (2018). Evaluation of Discharge-Water Quality Characteristics and River Grade Classification of Jinwi River Unit Basin. Journal of Environmental Impact Assessment. 27(6). 704–716. 1 indexed citations
10.
Cho, Yong-Chul, et al.. (2018). Statistical Analysis of Water Flow and Water Quality Data in the Imjin River Basin for Total Pollutant Load Management. Journal of Environmental Impact Assessment. 27(4). 353–366. 1 indexed citations
11.
Yu, Soonju, et al.. (2017). Spatial and Seasonal Water Quality Variations of Han River Tributries. Journal of Environmental Impact Assessment. 26(6). 418–430. 1 indexed citations
12.
Kim, Yong-Jin, et al.. (2017). Effect of Environmental Factors on Phytoplankton Communities and Dominant Species Succession in Lake Cheongpyeong. Journal of Environmental Science International. 26(8). 913–925. 4 indexed citations
13.
Lee, Jaewoong, Taejin Park, Min‐Seob Kim, et al.. (2016). Stable isotope on the evaluation of water quality in the presence of WWTPs in rivers. Environmental Science and Pollution Research. 23(18). 18175–18182. 12 indexed citations
14.
Jeong, Dong-Hwan, et al.. (2014). Environmental impact of livestock manure and organic fertilizer use on the Masan stream watershed. Journal of Environmental Impact Assessment. 23(2). 75–87. 3 indexed citations
15.
Yu, Soonju, et al.. (2014). A Study on the Evaluation for Operations of Public Sewage Treatment Plants Using Statistics Technique. Journal of Korean Neuropsychiatric Association. 30(5). 524–531.
16.
Park, Hye-Young, et al.. (2011). Survey of Physicochemical Methods and Economic Analysis of Domestic Wastewater Treatment Plant for Advanced Treatment of Phosphorus Removal. Journal of Korean Society of Environmental Engineers. 33(3). 212–221. 9 indexed citations
17.
Yu, Soonju, et al.. (2010). Effect of a seasonal diffuse pollution migration on natural organic matter behavior in a stratified dam reservoir. Journal of Environmental Sciences. 22(6). 908–914. 28 indexed citations
18.
Yu, Soonju, Dong-Hwan Jeong, & Jun‐Hwan Kim. (2008). Valid Assessment for Copper Standard Establishment in Drinking Water. Journal of Environmental Impact Assessment. 17(2). 143–151. 1 indexed citations
19.
Yu, Soonju, et al.. (2005). Analysis of Natural Organic Matter (NOM) Characteristics in the Geum River. 21(2). 125–131. 2 indexed citations
20.
Yu, Soonju, et al.. (1999). Index of Organic Matter in Stream and Lake. Journal of Environmental Impact Assessment. 8(1). 81–92. 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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