Hung Soo Kim

2.5k total citations
216 papers, 1.8k citations indexed

About

Hung Soo Kim is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Hung Soo Kim has authored 216 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Global and Planetary Change, 93 papers in Water Science and Technology and 68 papers in Environmental Engineering. Recurrent topics in Hung Soo Kim's work include Hydrology and Watershed Management Studies (85 papers), Flood Risk Assessment and Management (80 papers) and Hydrological Forecasting Using AI (57 papers). Hung Soo Kim is often cited by papers focused on Hydrology and Watershed Management Studies (85 papers), Flood Risk Assessment and Management (80 papers) and Hydrological Forecasting Using AI (57 papers). Hung Soo Kim collaborates with scholars based in South Korea, United States and Canada. Hung Soo Kim's co-authors include Sungwon Kim, Soojun Kim, Changhyun Choi, Heechan Han, Byung Sik Kim, Jaewon Jung, Jungwook Kim, Myungjin Lee, Jongsung Kim and Vijay P. Singh and has published in prestigious journals such as PLoS ONE, Journal of Hydrology and International Journal of Environmental Research and Public Health.

In The Last Decade

Hung Soo Kim

187 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hung Soo Kim South Korea 22 1.1k 839 787 322 167 216 1.8k
Sobri Harun Malaysia 26 1.5k 1.4× 872 1.0× 688 0.9× 543 1.7× 206 1.2× 108 2.4k
Phuong Thao Thi Ngo Vietnam 24 1.4k 1.2× 744 0.9× 649 0.8× 347 1.1× 65 0.4× 33 2.2k
Zhiyong Liu China 32 1.8k 1.6× 955 1.1× 606 0.8× 677 2.1× 111 0.7× 101 2.8k
Rajib Maity India 28 1.5k 1.3× 733 0.9× 819 1.0× 599 1.9× 117 0.7× 114 2.2k
Deg‐Hyo Bae South Korea 24 1.6k 1.4× 1.2k 1.4× 695 0.9× 727 2.3× 163 1.0× 147 2.3k
V. V. Srinivas India 23 1.6k 1.4× 944 1.1× 686 0.9× 611 1.9× 125 0.7× 63 2.1k
A. K. Lohani India 23 1.2k 1.1× 1.1k 1.3× 844 1.1× 431 1.3× 229 1.4× 67 2.1k
N. K. Goel India 25 1.6k 1.5× 992 1.2× 626 0.8× 617 1.9× 124 0.7× 62 2.3k
Ijaz Ahmad Pakistan 24 1.0k 0.9× 581 0.7× 405 0.5× 540 1.7× 130 0.8× 108 1.9k
Quang‐Thanh Bui Vietnam 23 1.3k 1.1× 437 0.5× 524 0.7× 258 0.8× 56 0.3× 65 2.0k

Countries citing papers authored by Hung Soo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hung Soo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung Soo Kim. 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 Hung Soo Kim. The network helps show where Hung Soo Kim may publish in the future.

Co-authorship network of co-authors of Hung Soo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hung Soo Kim. A scholar is included among the top collaborators of Hung Soo Kim 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 Hung Soo Kim. Hung Soo Kim 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.
Lee, Tae‐Woo, et al.. (2024). An Estimation of Water Deficits considering the Hwanggang Dams on the Imjin River, North Korea. Korean Society of Hazard Mitigation. 24(4). 195–205. 1 indexed citations
2.
Lee, Ho-Yong, et al.. (2024). A study on classification of vegetation zones based on flow regimes in Riparian wetlands. Ecological Engineering. 210. 107429–107429. 1 indexed citations
3.
Haraguchi, Masahiko, et al.. (2024). Developing a flood risk assessment model with genetic algorithm-based weights. Journal of Hydrology. 642. 131902–131902. 4 indexed citations
4.
Lee, Junhyeong, et al.. (2024). A Case Study: Evaluation of Urban Flood Resilience Based on Fuzzy Mathematics and VIKOR Method in Ulsan Metropolitan City, South Korea. KSCE Journal of Civil Engineering. 28(4). 1554–1565. 3 indexed citations
5.
Kim, Soojun, et al.. (2023). Deep Learning-Based Univariate Prediction of Daily Rainfall: Application to a Flood-Prone, Data-Deficient Country. Atmosphere. 14(4). 632–632. 8 indexed citations
6.
Han, Heechan, et al.. (2023). Predicting Flood Water Level Using Combined Hybrid Model of Rainfall-Runoff and AI-Based Models. KSCE Journal of Civil Engineering. 28(4). 1580–1593. 4 indexed citations
7.
Jung, Jaewon & Hung Soo Kim. (2022). Predicting temperature and precipitation during the flood season based on teleconnection. Geoscience Letters. 9(1). 6 indexed citations
8.
Kim, Deokhwan, et al.. (2022). Mega Flood Inundation Analysis and the Selection of Optimal Shelters. Water. 14(7). 1031–1031. 4 indexed citations
9.
Velasco, John Mark, et al.. (2022). Understanding chaos in COVID-19 and its relationship to stringency index: Applications to large-scale and granular level prediction models. PLoS ONE. 17(6). e0268023–e0268023. 5 indexed citations
10.
Jung, Jaewon, et al.. (2022). Rainfall pattern analysis in 24 East Asian megacities using a complex network. Hydrology and earth system sciences. 26(19). 4823–4836. 3 indexed citations
11.
Jung, Jaewon, et al.. (2021). Anaylsis of rainfall relationships in East Asia using a complex network. 1 indexed citations
12.
Lee, Myungjin, et al.. (2021). Evaluation of hydrological applicability for rainfall estimation algorithms of dual-polarization radar. Journal of Korea Water Resources Association. 54(1). 27–38. 1 indexed citations
13.
Kim, Hung Soo, et al.. (2021). Complex networks and integrated centrality measure to assess the importance of streamflow stations in a River basin. Journal of Hydrology. 598. 126280–126280. 19 indexed citations
14.
Kim, Taeyong, et al.. (2020). Classification of Environmental Industry and Technology Competitiveness Evaluation. 22(4). 245–256. 1 indexed citations
15.
Shin, Dayeon, et al.. (2018). Identifying Dietary Patterns Associated with Mild Cognitive Impairment in Older Korean Adults Using Reduced Rank Regression. International Journal of Environmental Research and Public Health. 15(1). 100–100. 20 indexed citations
16.
Kim, Jae Geun, et al.. (2012). Study on Assessment of Value of Yongdam Dam-wetland using Contingent Valuation Method. 14(1). 147–158. 1 indexed citations
17.
Kim, Byung Sik, et al.. (2009). Parameter Sensitivity Analysis of Vflo TM Model In Jungnang basin. Journal of the Korean Society of Civil Engineers. 29. 503–512. 2 indexed citations
18.
Kim, Sungwon & Hung Soo Kim. (2008). The Integrational Operation Method for the Modeling of the Pan Evaporation and the Alfalfa Reference Evapotranspiration. Journal of the Korean Society of Civil Engineers. 28. 199–213. 1 indexed citations
19.
Kim, Hung Soo, et al.. (2006). Risk of Flood Damage Potential and Design Frequency. 26. 489–499. 2 indexed citations
20.
Kim, Hung Soo, et al.. (2006). Parameter Calibration of Storage Function Model and Flood Forecasting (1) Calibration Methods and Evaluation of Simulated Flood Hydrograph. Journal of the Korean Society of Civil Engineers. 26. 27–38. 6 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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