Moon‐Seong Kang

1.1k total citations
78 papers, 857 citations indexed

About

Moon‐Seong Kang is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Chemistry. According to data from OpenAlex, Moon‐Seong Kang has authored 78 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Water Science and Technology, 24 papers in Global and Planetary Change and 23 papers in Environmental Chemistry. Recurrent topics in Moon‐Seong Kang's work include Hydrology and Watershed Management Studies (52 papers), Soil and Water Nutrient Dynamics (21 papers) and Flood Risk Assessment and Management (20 papers). Moon‐Seong Kang is often cited by papers focused on Hydrology and Watershed Management Studies (52 papers), Soil and Water Nutrient Dynamics (21 papers) and Flood Risk Assessment and Management (20 papers). Moon‐Seong Kang collaborates with scholars based in South Korea and United States. Moon‐Seong Kang's co-authors include Jung‐Hun Song, Younggu Her, S.W. Park, Kyung H. Yoo, Jong Ahn Chun, Inhong Song, J.J. Lee, Richard A. Cooke, J. W. Eheart and Hakkwan Kim and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Journal of Environmental Quality.

In The Last Decade

Moon‐Seong Kang

73 papers receiving 777 citations

Peers

Moon‐Seong Kang

WST

GPC

Tasuku Kato Japan

J. Causapé Spain

Ruoyu Wang United States

J. M. Hamlett United States

Shiying Tian United States

H. G. Frede Germany

Juha Kämäri Finland

P. Groenendijk Netherlands

Weiguang Wang China

Ramesh Rudra Canada

Tasuku Kato Japan

Moon‐Seong Kang

435 ×0.8

WST

238 ×0.8

GPC

177 ×0.9

145 ×0.7

153 ×0.8

Citations per year, relative to Moon‐Seong Kang Moon‐Seong Kang (= 1×) peers Tasuku Kato

Countries citing papers authored by Moon‐Seong Kang

Since Specialization

Citations

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

Fields of papers citing papers by Moon‐Seong Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moon‐Seong Kang. 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 Moon‐Seong Kang. The network helps show where Moon‐Seong Kang may publish in the future.

Co-authorship network of co-authors of Moon‐Seong Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Moon‐Seong Kang. A scholar is included among the top collaborators of Moon‐Seong Kang 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 Moon‐Seong Kang. Moon‐Seong Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kim, Seokhyeon, et al.. (2023). Impact of irrigation reservoirs on budget of the watershed-scale water cycle under climate change. Agricultural Water Management. 283. 108327–108327. 12 indexed citations

Kim, Seokhyeon, et al.. (2023). Impact assessment of water-level management on water quality in an estuary reservoir using a watershed-reservoir linkage model. Agricultural Water Management. 280. 108234–108234. 13 indexed citations

Kim, Hakkwan, et al.. (2023). Analysis of the effects of low impact development practices on hydrological components using HSPF. Journal of Hydro-environment Research. 46. 72–85. 9 indexed citations

Kim, Hakkwan, et al.. (2021). Assessing the Hydroclimatic Movement under Future Scenarios Including both Climate and Land Use Changes. Water. 13(8). 1120–1120. 8 indexed citations

Jun, Sangmin, et al.. (2021). Application of the SWAT-EFDC Linkage Model for Assessing Water Quality Management in an Estuarine Reservoir Separated by Levees. Applied Sciences. 11(9). 3911–3911. 20 indexed citations

Kim, Hakkwan, et al.. (2021). Development and Assessment of Watershed Management Indicators Using the Budyko Framework Parameter. Sustainability. 13(7). 3864–3864. 2 indexed citations

Jun, Sangmin, et al.. (2020). Flood Vulnerability Assessment for Prioritizing and Evaluating Rehabilitation of Ungauged Reservoirs Considering Climate Change. Water. 12(7). 1901–1901. 10 indexed citations

Song, Jung‐Hun, et al.. (2020). Uncertainty in Irrigation Return Flow Estimation: Comparing Conceptual and Physically-Based Parameterization Approaches. Water. 12(4). 1125–1125. 8 indexed citations

Song, Jung‐Hun, et al.. (2020). Evaluating the Applicability of Drainage Routing Schemes for Paddy Fields. Journal of Irrigation and Drainage Engineering. 146(9). 2 indexed citations

10.

Jun, Sangmin, et al.. (2020). Establishment of Inundation Probability DB for Forecasting the Farmland Inundation Risk Using Weather Forecast Data. Journal of The Korean Society of Agricultural Engineers. 62(4). 33–43. 1 indexed citations

11.

Her, Younggu, et al.. (2019). Characteristics of Arsenic Leached from Sediments: Agricultural Implications of Abandoned Mines. Applied Sciences. 9(21). 4628–4628. 4 indexed citations

12.

Song, Jung‐Hun, et al.. (2019). Lessons from Assessing Uncertainty in Agricultural Water Supply Estimation for Sustainable Rice Production. Agronomy. 9(10). 662–662. 9 indexed citations

13.

Kim, Seokhyeon, et al.. (2019). Influence of Rainfall observation Network on Daily Dam Inflow using Artificial Neural Networks. Journal of The Korean Society of Agricultural Engineers. 61(2). 63–74. 1 indexed citations

14.

Song, Jung‐Hun, et al.. (2013). Analysis of Nutrient Load Balance in the Reservoir Irrigated Paddy Block. Journal of The Korean Society of Agricultural Engineers. 55(6). 167–175. 7 indexed citations

15.

Kim, Hakkwan, Moon‐Seong Kang, Inhong Song, et al.. (2012). Flood Inundation Analysis in a Low-lying Rural Area using HEC-HMS and HEC-RAS. Journal of The Korean Society of Agricultural Engineers. 54(2). 1–6. 1 indexed citations

16.

Lee, Eun‐Jeong, et al.. (2010). Predicting the impacts of climate change on nonpoint source pollutant loads from agricultural small watershed using artificial neural network. Journal of Environmental Sciences. 22(6). 840–845. 19 indexed citations

17.

Kang, Moon‐Seong, et al.. (2006). Land Cover Classification of Image Data Using Artificial Neural Networks. Journal of Korean Society of Rural Planning. 12(1). 75–83. 4 indexed citations

18.

Kang, Moon‐Seong, Seung Woo Park, & Younggu Her. (2001). A Water Environment Management and Evaluation Systems for a Small Watershed (II) - Operation and Applications -. Journal of Korean Society of Rural Planning. 7(1). 15–25. 2 indexed citations

19.

Kang, Moon‐Seong, et al.. (2001). A Water Environment Management and Evaluation Systems for a Small Watershed (I) - System formulation and Development -. Journal of Korean Society of Rural Planning. 7(1). 3–13. 2 indexed citations

20.

Kang, Moon‐Seong & Seung Woo Park. (2000). The Land Cover Changes at the Small Watersheds Using the Multi-temporal Satelite Images. Journal of Korean Society of Rural Planning. 6(2). 50–58. 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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