Haksu Lee

1.1k total citations
29 papers, 645 citations indexed

About

Haksu Lee is a scholar working on Water Science and Technology, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Haksu Lee has authored 29 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Water Science and Technology, 17 papers in Atmospheric Science and 12 papers in Global and Planetary Change. Recurrent topics in Haksu Lee's work include Hydrology and Watershed Management Studies (20 papers), Meteorological Phenomena and Simulations (16 papers) and Flood Risk Assessment and Management (8 papers). Haksu Lee is often cited by papers focused on Hydrology and Watershed Management Studies (20 papers), Meteorological Phenomena and Simulations (16 papers) and Flood Risk Assessment and Management (8 papers). Haksu Lee collaborates with scholars based in United States, South Korea and Netherlands. Haksu Lee's co-authors include Dong-Jun Seo, Limin Wu, James Dean Brown, Minxue He, Satish Kumar Regonda, Dong‐Jun Seo, John C. Schaake, Robert Hartman, Yuejian Zhu and Julie Demargne and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Bulletin of the American Meteorological Society.

In The Last Decade

Haksu Lee

25 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haksu Lee United States 13 471 400 365 188 25 29 645
Linda Speight United Kingdom 8 320 0.7× 198 0.5× 142 0.4× 110 0.6× 2 0.1× 24 421
Lu Su United States 9 344 0.7× 214 0.5× 190 0.5× 84 0.4× 20 484
Simon Etter Switzerland 10 164 0.3× 189 0.5× 76 0.2× 56 0.3× 3 0.1× 15 348
Priyank J. Sharma India 11 287 0.6× 217 0.5× 93 0.3× 108 0.6× 2 0.1× 29 386
Julie Demargne United States 8 587 1.2× 492 1.2× 351 1.0× 202 1.1× 19 716
Teresita Canchala Colombia 11 211 0.4× 64 0.2× 133 0.4× 81 0.4× 10 0.4× 23 274
Ridwan Siddique United States 12 295 0.6× 260 0.7× 166 0.5× 222 1.2× 17 452
Davide Muraro Italy 5 452 1.0× 345 0.9× 218 0.6× 116 0.6× 5 532
Louise Arnal United Kingdom 11 368 0.8× 330 0.8× 194 0.5× 156 0.8× 22 508
Yingchun Huang China 10 327 0.7× 297 0.7× 149 0.4× 198 1.1× 18 462

Countries citing papers authored by Haksu Lee

Since Specialization
Citations

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

Fields of papers citing papers by Haksu Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haksu Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Haksu Lee. A scholar is included among the top collaborators of Haksu 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 Haksu Lee. Haksu 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.
He, Minxue, Seong Jin Noh, & Haksu Lee. (2024). Editorial to the Special Issue “Recent Advances in Hydrological Modeling”. Hydrology. 11(7). 108–108.
2.
Lee, Haksu, et al.. (2022). Geometric Analysis of Conditional Bias-Informed Kalman Filters. Hydrology. 9(5). 84–84. 1 indexed citations
5.
He, Minxue & Haksu Lee. (2021). Advances in Hydrological Forecasting. SHILAP Revista de lepidopterología. 3(3). 517–519. 1 indexed citations
6.
Lee, Haksu, et al.. (2019). Improving flood forecasting using conditional bias-penalized ensemble Kalman filter. Journal of Hydrology. 575. 596–611. 18 indexed citations
7.
Wu, Limin, Yu Zhang, Thomas E. Adams, et al.. (2017). Comparative Evaluation of Three Schaake Shuffle Schemes in Postprocessing GEFS Precipitation Ensemble Forecasts. Journal of Hydrometeorology. 19(3). 575–598. 21 indexed citations
8.
Seo, Dong‐Jun, et al.. (2017). Conditional bias-penalized Kalman filter for improved estimation and prediction of extremes. Stochastic Environmental Research and Risk Assessment. 32(1). 183–201. 16 indexed citations
9.
Lee, Haksu, Dong-Jun Seo, & Seong Jin Noh. (2016). A weakly-constrained data assimilation approach to address rainfall-runoff model structural inadequacy in streamflow prediction. Journal of Hydrology. 542. 373–391. 6 indexed citations
11.
Rafieeinasab, A., Amir Mohammad Norouzi, Sunghee Kim, et al.. (2015). Toward high-resolution flash flood prediction in large urban areas – Analysis of sensitivity to spatiotemporal resolution of rainfall input and hydrologic modeling. Journal of Hydrology. 531. 370–388. 68 indexed citations
12.
Lee, Haksu, et al.. (2014). Utility of SCaMPR Satellite versus Ground-Based Quantitative Precipitation Estimates in Operational Flood Forecasting: The Effects of TRMM Data Ingest. Journal of Hydrometeorology. 15(3). 1051–1069. 10 indexed citations
13.
Rafieeinasab, A., Dong-Jun Seo, Haksu Lee, & Sunghee Kim. (2014). Comparative evaluation of maximum likelihood ensemble filter and ensemble Kalman filter for real-time assimilation of streamflow data into operational hydrologic models. Journal of Hydrology. 519. 2663–2675. 37 indexed citations
16.
Lee, Haksu & Young Yim Doh. (2012). A Study on Enhancing Emotional Engagement in Learning Situation - Based on Development Case of English Learning Serious Game 'Word Collectrian'. Journal of Korea Game Society. 12(6). 95–105. 2 indexed citations
17.
Park, Jong-Kyu, et al.. (2008). A HIGHLY-DIRECTIONAL ULTRASONIC RANGE SENSOR USING A STEPPED-PLATE TRANSDUCER. IFAC Proceedings Volumes. 41(2). 15780–15785. 1 indexed citations
18.
Lee, Haksu, Murugesu Sivapalan, & Erwin Zehe. (2005). Representative Elementary Watershed (REW) approach: A new blueprint for distributed hydrological modelling at the catchment scale. IAHS-AISH publication. 159–188. 8 indexed citations
19.
Zehe, Erwin, Haksu Lee, & Murugesu Sivapalan. (2005). Derivation of closure relations and commensurate state variables for meso-scale models using the REW approach. UWA Profiles and Research Repository (University of Western Australia). 134–158. 1 indexed citations
20.
Kim, Sanghyun & Haksu Lee. (2004). A digital elevation analysis: a spatially distributed flow apportioning algorithm. Hydrological Processes. 18(10). 1777–1794. 23 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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