Kuk‐Hyun Ahn

947 total citations
42 papers, 719 citations indexed

About

Kuk‐Hyun Ahn is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Kuk‐Hyun Ahn has authored 42 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Global and Planetary Change, 27 papers in Water Science and Technology and 17 papers in Atmospheric Science. Recurrent topics in Kuk‐Hyun Ahn's work include Hydrology and Watershed Management Studies (27 papers), Hydrology and Drought Analysis (20 papers) and Climate variability and models (19 papers). Kuk‐Hyun Ahn is often cited by papers focused on Hydrology and Watershed Management Studies (27 papers), Hydrology and Drought Analysis (20 papers) and Climate variability and models (19 papers). Kuk‐Hyun Ahn collaborates with scholars based in South Korea, United States and India. Kuk‐Hyun Ahn's co-authors include Venkatesh Merwade, Richard N. Palmer, Scott Steinschneider, Munir Ahmad Nayak, C. S. P. Ojha, Jaeeung Yi, Young-Oh Kim and Young‐Il Moon and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Kuk‐Hyun Ahn

38 papers receiving 704 citations

Peers

Kuk‐Hyun Ahn
Tekalegn Ayele Woldesenbet Ethiopia
Xiaolin Yan China
Tingting Ning China
Wenjun Yu China
Qin Da-yong China
Patricia Jimeno‐Sáez Spain
Sirak Tekleab Ethiopia
Hadush Meresa Ireland
Pallav Kumar Shrestha Germany
Adrián López-Ballesteros Spain
Tekalegn Ayele Woldesenbet Ethiopia
Kuk‐Hyun Ahn
Citations per year, relative to Kuk‐Hyun Ahn Kuk‐Hyun Ahn (= 1×) peers Tekalegn Ayele Woldesenbet

Countries citing papers authored by Kuk‐Hyun Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Kuk‐Hyun Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuk‐Hyun Ahn. 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 Kuk‐Hyun Ahn. The network helps show where Kuk‐Hyun Ahn may publish in the future.

Co-authorship network of co-authors of Kuk‐Hyun Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Kuk‐Hyun Ahn. A scholar is included among the top collaborators of Kuk‐Hyun Ahn 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 Kuk‐Hyun Ahn. Kuk‐Hyun Ahn 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.
Ahn, Kuk‐Hyun, et al.. (2025). Exploring the influence of training sampling strategies on time-series deep learning model in hydrology. Journal of Hydrology. 653. 132774–132774.
2.
Ahn, Kuk‐Hyun, et al.. (2025). Projections and uncertainty decomposition in CMIP6 models for extreme precipitation scaling rates. Journal of Hydrology. 660. 133260–133260. 3 indexed citations
3.
4.
Ahn, Kuk‐Hyun, et al.. (2025). Enhancing Multiple Precipitation Data Integration Across a Large-Scale Area: A Deep Learning ResU-Net Framework Without Interpolation. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.
5.
6.
Ahn, Kuk‐Hyun, et al.. (2024). Toward the reliable use of reanalysis data as a reference for bias correction in climate models: A multivariate perspective. Journal of Hydrology. 644. 132102–132102. 4 indexed citations
7.
Ahn, Kuk‐Hyun, et al.. (2024). Self-training approach to improve the predictability of data-driven rainfall-runoff model in hydrological data-sparse regions. Journal of Hydrology. 632. 130862–130862. 11 indexed citations
8.
Ahn, Kuk‐Hyun, et al.. (2024). Improving medium-range streamflow forecasts over South Korea with a dual-encoder transformer model. Journal of Environmental Management. 368. 122114–122114. 5 indexed citations
9.
Ahn, Kuk‐Hyun, et al.. (2023). Impact of diverse configuration in multivariate bias correction methods on large-scale hydrological modelling under climate change. Journal of Hydrology. 627. 130406–130406. 7 indexed citations
10.
Ahn, Kuk‐Hyun, et al.. (2023). Temperature change-informed future multisite streamflow generation to support water supply vulnerability assessments under climate change. Journal of Hydrology. 624. 129928–129928. 3 indexed citations
11.
Ahn, Kuk‐Hyun, et al.. (2023). Understanding extreme precipitation scaling with temperature: insights from multi-spatiotemporal analysis in South Korea. Environmental Research Letters. 18(12). 124032–124032. 3 indexed citations
12.
Ahn, Kuk‐Hyun, et al.. (2023). Estimation of tropical cyclone (TC) rainfall risk in South Korea using the integrated TC track and semi‐physical TC rainfall models. International Journal of Climatology. 43(6). 2776–2793. 2 indexed citations
13.
Ahn, Kuk‐Hyun. (2022). Interannual variability of heat waves over the Korean Peninsula based on integrated approach. The Science of The Total Environment. 826. 154153–154153. 8 indexed citations
14.
Ahn, Kuk‐Hyun. (2021). Streamflow estimation at partially gaged sites using multiple-dependence conditions via vine copulas. Hydrology and earth system sciences. 25(8). 4319–4333. 10 indexed citations
15.
Ahn, Kuk‐Hyun, et al.. (2021). A stacking ensemble model for hydrological post-processing to improve streamflow forecasts at medium-range timescales over South Korea. Journal of Hydrology. 600. 126681–126681. 27 indexed citations
16.
Ahn, Kuk‐Hyun. (2020). A neural network ensemble approach with jittered basin characteristics for regionalized low flow frequency analysis. Journal of Hydrology. 590. 125501–125501. 9 indexed citations
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18.
Ahn, Kuk‐Hyun, et al.. (2019). Incorporating climate model similarities and hydrologic error models to quantify climate change impacts on future riverine flood risk. Journal of Hydrology. 570. 118–131. 21 indexed citations
19.
Ahn, Kuk‐Hyun & Scott Steinschneider. (2019). Time‐varying, nonlinear suspended sediment rating curves to characterize trends in water quality: An application to the Upper Hudson and Mohawk Rivers, New York. Hydrological Processes. 33(13). 1865–1882. 13 indexed citations
20.
Ahn, Kuk‐Hyun, et al.. (2016). Regional Flood Frequency Analysis Using Spatial Proximity and Basin Characteristics. 329–338. 2 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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