Doosun Kang

2.6k total citations
93 papers, 1.9k citations indexed

About

Doosun Kang is a scholar working on Civil and Structural Engineering, Ocean Engineering and Environmental Engineering. According to data from OpenAlex, Doosun Kang has authored 93 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Civil and Structural Engineering, 39 papers in Ocean Engineering and 34 papers in Environmental Engineering. Recurrent topics in Doosun Kang's work include Water Systems and Optimization (68 papers), Water resources management and optimization (33 papers) and Urban Stormwater Management Solutions (20 papers). Doosun Kang is often cited by papers focused on Water Systems and Optimization (68 papers), Water resources management and optimization (33 papers) and Urban Stormwater Management Solutions (20 papers). Doosun Kang collaborates with scholars based in South Korea, United States and Japan. Doosun Kang's co-authors include Kevin Lansey, Donghwi Jung, Joong Hoon Kim, Do Guen Yoo, Robert G. Arnold, Jian Liu, Fei Du, Jeong‐Wook Choi, Hwandon Jun and Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ and has published in prestigious journals such as Journal of Hydrology, Sustainability and Remote Sensing.

In The Last Decade

Doosun Kang

86 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Doosun Kang South Korea 27 1.2k 603 576 543 248 93 1.9k
Armando Di Nardo Italy 27 1.4k 1.1× 667 1.1× 592 1.0× 518 1.0× 306 1.2× 93 2.1k
Massoud Tabesh Iran 29 1.5k 1.2× 484 0.8× 655 1.1× 674 1.2× 386 1.6× 107 2.3k
Yves Filion Canada 19 748 0.6× 341 0.6× 634 1.1× 337 0.6× 267 1.1× 93 1.4k
Tao Tao China 22 712 0.6× 507 0.8× 372 0.6× 327 0.6× 185 0.7× 93 1.5k
Kalanithy Vairavamoorthy United Kingdom 21 825 0.7× 370 0.6× 358 0.6× 534 1.0× 187 0.8× 59 1.4k
E. Downey Brill United States 23 913 0.7× 434 0.7× 535 0.9× 821 1.5× 241 1.0× 85 2.2k
Rudy Gargano Italy 23 659 0.5× 519 0.9× 659 1.1× 278 0.5× 102 0.4× 66 1.7k
Sean Andrew McKenna United States 22 1.2k 0.9× 323 0.5× 761 1.3× 331 0.6× 217 0.9× 105 2.2k
Enrico Creaco Italy 32 2.4k 2.0× 868 1.4× 842 1.5× 816 1.5× 581 2.3× 166 3.1k
Giovanni Francesco Santonastaso Italy 23 980 0.8× 383 0.6× 371 0.6× 347 0.6× 158 0.6× 65 1.4k

Countries citing papers authored by Doosun Kang

Since Specialization
Citations

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

Fields of papers citing papers by Doosun Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doosun Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Doosun Kang. A scholar is included among the top collaborators of Doosun 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 Doosun Kang. Doosun Kang 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.
Kang, Doosun, et al.. (2025). Improving operational efficiency in water distribution network with hourly water pricing to benefit consumers and providers. Journal of Water Process Engineering. 72. 107457–107457. 1 indexed citations
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Kim, Seokhyeon, et al.. (2024). Strategic imputation of groundwater data using machine learning: Insights from diverse aquifers in the Chao-Phraya River Basin. Groundwater for Sustainable Development. 28. 101394–101394. 4 indexed citations
6.
Kang, Doosun, et al.. (2024). Application of multiple pressure management strategies in urban water distribution networks using sequential optimization. Sustainable Cities and Society. 102. 105246–105246. 8 indexed citations
7.
Li, Li, Gyumin Lee, & Doosun Kang. (2024). Estimation of Energy Consumption and CO2 Emissions of the Water Supply Sector: A Seoul Metropolitan City (SMC) Case Study. Water. 16(3). 479–479. 4 indexed citations
8.
Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Zaher Mundher, et al.. (2024). Long-term streamflow forecasting in data-scarce regions: Insightful investigation for leveraging satellite-derived data, Informer architecture, and concurrent fine-tuning transfer learning. Journal of Hydrology. 631. 130772–130772. 22 indexed citations
9.
Kang, Doosun, et al.. (2023). Application of Machine Learning in Water Resources Management: A Systematic Literature Review. Water. 15(4). 620–620. 82 indexed citations
10.
Kang, Doosun, et al.. (2023). A strategy for sustainable urban water management using water network partitioning with optimal booster pump configuration: A case study. Sustainable Cities and Society. 90. 104391–104391. 10 indexed citations
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Kang, Doosun, et al.. (2023). Energy intensity-based metric for optimal design of water distribution systems. Applied Water Science. 13(9).
13.
Kang, Doosun, et al.. (2022). Contaminant Flushing in Water Distribution Networks Incorporating Customer Faucet Control. Sustainability. 14(4). 2249–2249. 3 indexed citations
14.
Kang, Doosun, et al.. (2019). Identification of Critical Pipes Using a Criticality Index in Water Distribution Networks. Applied Sciences. 9(19). 4052–4052. 13 indexed citations
15.
Yoo, Do Guen, et al.. (2017). Sensitivity Analysis of Model Parameters in Seismic Reliability Assessment Model of Water Supply Systems. Korean Society of Hazard Mitigation. 17(1). 95–105. 2 indexed citations
16.
Kang, Doosun, et al.. (2016). The Application of the Artificial Neural Network Ensemble Model for Simulating Streamflow. Procedia Engineering. 154. 1217–1224. 19 indexed citations
17.
Kang, Doosun, et al.. (2015). A Development of Simulation Model for Water, Energy, and Food Nexus. 대한토목학회 학술대회. 67–68. 1 indexed citations
18.
Kang, Doosun, et al.. (2015). Skeletonization Methods for Complex Water Distribution Network. Journal of Korea Water Resources Association. 48(10). 845–855. 1 indexed citations
19.
Jung, Donghwi, Doosun Kang, Gunhui Chung, & Joong Hoon Kim. (2013). Comparison of the robustness-based optimal designs of water distribution systems in three different formulations. Journal of Hydroinformatics. 15(4). 1425–1436. 2 indexed citations
20.
Kang, Doosun & Kevin Lansey. (2011). A Scenario-Based Optimization Model for Water Supply System Planning. World Environmental and Water Resources Congress 2011. 146–155. 5 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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