Seungsoo Lee

648 total citations
26 papers, 473 citations indexed

About

Seungsoo Lee is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Seungsoo Lee has authored 26 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 13 papers in Atmospheric Science and 10 papers in Water Science and Technology. Recurrent topics in Seungsoo Lee's work include Flood Risk Assessment and Management (18 papers), Hydrology and Watershed Management Studies (10 papers) and Tropical and Extratropical Cyclones Research (10 papers). Seungsoo Lee is often cited by papers focused on Flood Risk Assessment and Management (18 papers), Hydrology and Watershed Management Studies (10 papers) and Tropical and Extratropical Cyclones Research (10 papers). Seungsoo Lee collaborates with scholars based in South Korea, United States and Japan. Seungsoo Lee's co-authors include Seong Jin Noh, Kenji Kawaike, Hyunuk An, Jun‐Hak Lee, Dong‐Jun Seo, Hajime Nakagawa, Matteo Rubinato, Ricardo Martins, James Shucksmith and Lea Dasallas and has published in prestigious journals such as Journal of Hydrology, Remote Sensing and Advances in Water Resources.

In The Last Decade

Seungsoo Lee

25 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seungsoo Lee South Korea 13 346 207 170 165 79 26 473
Russell J. Qualls United States 17 617 1.8× 265 1.3× 243 1.4× 167 1.0× 55 0.7× 34 686
Wenchao Qi China 12 340 1.0× 106 0.5× 156 0.9× 168 1.0× 47 0.6× 19 428
P. V. Timbadiya India 11 304 0.9× 76 0.4× 173 1.0× 74 0.4× 70 0.9× 43 405
Sudershan Gangrade United States 15 464 1.3× 227 1.1× 366 2.2× 142 0.9× 32 0.4× 28 614
Hongsheng Zhang China 14 308 0.9× 218 1.1× 45 0.3× 133 0.8× 21 0.3× 28 388
Sylvain Detrembleur Belgium 8 292 0.8× 88 0.4× 165 1.0× 54 0.3× 102 1.3× 32 388
Vinit Sehgal United States 12 350 1.0× 137 0.7× 228 1.3× 260 1.6× 29 0.4× 19 543
Francesca Caparrini Italy 9 443 1.3× 236 1.1× 193 1.1× 335 2.0× 61 0.8× 20 576
Taereem Kim United States 10 309 0.9× 138 0.7× 253 1.5× 215 1.3× 15 0.2× 20 471
Hanbeen Kim United States 11 269 0.8× 143 0.7× 118 0.7× 63 0.4× 43 0.5× 28 385

Countries citing papers authored by Seungsoo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seungsoo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungsoo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Seungsoo Lee. A scholar is included among the top collaborators of Seungsoo Lee 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 Seungsoo Lee. Seungsoo Lee 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.
Kim, Minyoung, et al.. (2025). FLO-SR: Deep learning-based urban flood super-resolution model. Journal of Hydrology. 661. 133529–133529. 3 indexed citations
2.
Lee, Jun‐Hak, et al.. (2025). Evaluating the Effects of Spatial Resolution on 2D Pluvial Flood Modeling in Urban Built Environments. Journal of Flood Risk Management. 18(3).
3.
Dasallas, Lea, Hyunuk An, & Seungsoo Lee. (2024). Providing solutions for data scarcity in urban flood modeling through sensitivity analysis and DEM modifications. Journal of Hydroinformatics. 26(2). 459–479. 4 indexed citations
4.
Dasallas, Lea, Hyunuk An, & Seungsoo Lee. (2023). Developing synthetic sewer pipe system for data-scarce domains in application for urban flood modeling. Hydrology research. 54(11). 1387–1406. 4 indexed citations
5.
6.
Chaffe, Pedro Luiz Borges, et al.. (2021). SW2D-GPU: A two-dimensional shallow water model accelerated by GPGPU. Environmental Modelling & Software. 145. 105205–105205. 24 indexed citations
7.
Lee, Seungsoo. (2019). Improvement of precipitation forecasting skill of ECMWF data using multi-layer perceptron technique. Journal of Korea Water Resources Association. 52(7). 475–482. 1 indexed citations
8.
Noh, Seong Jin, Jun‐Hak Lee, Seungsoo Lee, & Dong‐Jun Seo. (2019). Retrospective Dynamic Inundation Mapping of Hurricane Harvey Flooding in the Houston Metropolitan Area Using High-Resolution Modeling and High-Performance Computing. Water. 11(3). 597–597. 19 indexed citations
10.
Noh, Seong Jin, Jun‐Hak Lee, Seungsoo Lee, Kenji Kawaike, & Dong‐Jun Seo. (2018). Hyper-resolution 1D-2D urban flood modelling using LiDAR data and hybrid parallelization. Environmental Modelling & Software. 103. 131–145. 82 indexed citations
11.
An, Hyunuk, et al.. (2018). Hybrid Numerical Scheme of Preissmann Slot Model for Transient Mixed Flows. Water. 10(7). 899–899. 19 indexed citations
12.
Rubinato, Matteo, Seungsoo Lee, Ricardo Martins, & James Shucksmith. (2018). Surface to sewer flow exchange through circular inlets during urban flood conditions. Journal of Hydroinformatics. 20(3). 564–576. 51 indexed citations
13.
Martins, Ricardo, Georges Kesserwani, Matteo Rubinato, et al.. (2017). Validation of 2D shock capturing flood models around a surcharging manhole. Urban Water Journal. 14(9). 892–899. 33 indexed citations
14.
Noh, Seong Jin, Seungsoo Lee, Hyunuk An, Kenji Kawaike, & Hajime Nakagawa. (2016). Ensemble urban flood simulation in comparison with laboratory-scale experiments: Impact of interaction models for manhole, sewer pipe, and surface flow. Advances in Water Resources. 97. 25–37. 51 indexed citations
15.
Lee, Seungsoo, et al.. (2014). STUDY ON DEVELOPMENT OF SEWER PIPE ANALYSIS MODEL CONSIDERING MANHOLE HEAD LOSSES. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 70(4). I_97–I_102. 1 indexed citations
16.
Lee, Seungsoo, et al.. (2013). Urban Inundation Simulation Incorporating Sewerage System without Structure Effect. Kyoto University Research Information Repository (Kyoto University). 407–414. 3 indexed citations
17.
Lee, Seungsoo, et al.. (2012). STUDY ON INLET DISCHARGE COEFFICIENT THROUGH THE DIFFERENT SHAPES OF STORM DRAINS FOR URBAN INUNDATION ANALYSIS. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 68(4). I_31–I_36. 17 indexed citations
18.
Lee, Giha, Seungsoo Lee, & Kwansue Jung. (2010). Development of a Raster-based Two-dimensional Flood Inundation Model. 10(6). 155–163. 5 indexed citations
19.
Suh, Young‐Ger, et al.. (2002). Molecular evidence for the taxonomic identity of Korean Adonis (Ranunculaceae). Journal of Plant Research. 115(3). 217–223. 14 indexed citations
20.
Lee, Seungsoo, George S. Dulikravich, & Daniel J. Dorney. (1989). Acceleration of iterative algorithms for Euler equations of gasdynamics. 27th Aerospace Sciences Meeting. 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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