Hyungjun Kim

16.3k total citations · 6 hit papers
134 papers, 7.4k citations indexed

About

Hyungjun Kim is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Hyungjun Kim has authored 134 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Global and Planetary Change, 54 papers in Atmospheric Science and 30 papers in Water Science and Technology. Recurrent topics in Hyungjun Kim's work include Climate variability and models (48 papers), Meteorological Phenomena and Simulations (32 papers) and Flood Risk Assessment and Management (31 papers). Hyungjun Kim is often cited by papers focused on Climate variability and models (48 papers), Meteorological Phenomena and Simulations (32 papers) and Flood Risk Assessment and Management (31 papers). Hyungjun Kim collaborates with scholars based in Japan, South Korea and United States. Hyungjun Kim's co-authors include Shinjiro Kanae, Dai Yamazaki, Taikan Oki, Sujan Koirala, Yukiko Hirabayashi, Satoshi WATANABE, Mahendran Roobavannan, Yoshihide Wada, Yadu Pokhrel and Yusuke Satoh and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Hyungjun Kim

124 papers receiving 7.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Global flood risk under climate change

2013 2.0k citations Sujan Koirala, Dai Yamazaki et al. profile →
Hydrological droughts in the 21st century, hotspots and uncertainties from a global multimodel ensemble experiment

2013 596 citations Dieter Gerten, Simon N. Gosling et al. profile →
A physically based description of floodplain inundation dynamics in a global river routing model

2011 590 citations Dai Yamazaki, Hyungjun Kim et al. profile →
Water scarcity hotspots travel downstream due to human interventions in the 20th and 21st century

2017 368 citations Ted Veldkamp, Yoshihide Wada et al. Nature Communications profile →
Abrupt shift to hotter and drier climate over inner East Asia beyond the tipping point

2020 223 citations Jin‐Ho Yoon, Hyungjun Kim et al. profile →
The timing of unprecedented hydrological drought under climate change

2022 181 citations Yusuke Satoh, Kei Yoshimura et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hyungjun Kim Japan	35	4.9k	3.1k	1.8k	760	688	134	7.4k
Tong Jiang China	51	6.3k 1.3×	3.5k 1.1×	2.8k 1.6×	1.1k 1.4×	861 1.3×	300	9.4k
Dai Yamazaki Japan	45	7.9k 1.6×	5.0k 1.6×	3.5k 1.9×	1.4k 1.8×	1.6k 2.4×	282	11.6k
Richard B. Lammers United States	33	3.4k 0.7×	3.7k 1.2×	3.8k 2.1×	1.1k 1.5×	1.0k 1.5×	91	9.4k
Lei Wang China	51	3.9k 0.8×	3.0k 1.0×	4.4k 2.4×	984 1.3×	1.0k 1.5×	328	8.7k
Ronny Berndtsson Sweden	53	3.5k 0.7×	3.3k 1.1×	1.4k 0.8×	3.1k 4.0×	702 1.0×	374	9.0k
Xi Chen China	39	2.7k 0.6×	1.5k 0.5×	1.3k 0.7×	559 0.7×	643 0.9×	207	5.5k
Govindasamy Bala India	46	7.9k 1.6×	1.6k 0.5×	4.4k 2.5×	983 1.3×	1.8k 2.6×	140	10.3k
A. M. Michalak United States	48	3.7k 0.8×	1.5k 0.5×	2.4k 1.4×	1.1k 1.4×	1.2k 1.8×	146	7.8k
Jouni Räisänen Finland	32	3.5k 0.7×	953 0.3×	2.7k 1.5×	350 0.5×	496 0.7×	128	5.2k
David M. H. Sexton United Kingdom	36	6.6k 1.4×	1.0k 0.3×	4.9k 2.7×	509 0.7×	458 0.7×	78	8.6k

Countries citing papers authored by Hyungjun Kim

Since Specialization

Citations

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

Fields of papers citing papers by Hyungjun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyungjun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyungjun Kim. A scholar is included among the top collaborators of Hyungjun 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 Hyungjun Kim. Hyungjun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Juckes, Martin, Karl E. Taylor, David Brayshaw, et al.. (2025). Baseline Climate Variables for Earth System Modelling. Geoscientific model development. 18(9). 2639–2663. 2 indexed citations

Liu, Laibao, Rosie A. Fisher, Hervé Douville, et al.. (2024). No constraint on long-term tropical land carbon-climate feedback uncertainties from interannual variability. Communications Earth & Environment. 5(1). 6 indexed citations

Jeong, Jaewoo, Dong Hyun Kim, Hyungjun Kim, et al.. (2024). Tailoring Electrochemical Water Oxidation Activity from the Isostructural Series of Alkaline‐Stable Bimetallic Fe,Ni‐Azolate Metal–Organic Frameworks. Advanced Energy Materials. 14(31). 11 indexed citations

Koirala, Sujan, et al.. (2023). Calibrating global hydrological models with GRACE TWS: does river storage matter?. Environmental Research Communications. 5(8). 81005–81005. 1 indexed citations

Kim, Hyungjun, et al.. (2023). TOWARD A GLOBAL-SCALE ESTIMATION OF WATER RESOURCES WITH A COUPLED MODEL FRAMEWORK OF HYDRO- AND THERMODY- NAMICS IN RIVERS AND LAKES. Journal of JSCE. 11(1). n/a–n/a. 1 indexed citations

Satoh, Yusuke, Kei Yoshimura, Yadu Pokhrel, et al.. (2022). The timing of unprecedented hydrological drought under climate change. Nature Communications. 13(1). 3287–3287. 181 indexed citations breakdown →

Luo, Fei, Frank Selten, Kathrin Wehrli, et al.. (2022). Summertime Rossby waves in climate models: substantial biases in surface imprint associated with small biases in upper-level circulation. Weather and Climate Dynamics. 3(3). 905–935. 15 indexed citations

Lee, Seoung Soo, Kyung‐Ja Ha, M. G. Manoj, et al.. (2021). Midlatitude mixed-phase stratocumulus clouds and their interactions with aerosols: how ice processes affect microphysical, dynamic, and thermodynamic development in those clouds and interactions?. Atmospheric chemistry and physics. 21(22). 16843–16868. 6 indexed citations

Kim, Hyungjun, et al.. (2021). Development of a coupled simulation framework representing the lake and river continuum of mass and energy (TCHOIR v1.0). Geoscientific model development. 14(9). 5669–5693. 9 indexed citations

10.

Wehrli, Kathrin, Fei Luo, Mathias Hauser, et al.. (2021). The ExtremeX global climate model experiment: Investigating thermodynamic and dynamic processes contributing to weather and climate extremes. Repository for Publications and Research Data (ETH Zurich). 2 indexed citations

11.

Kim, Hyungjun, Gavin D. Madakumbura, Shih‐Yu Wang, et al.. (2019). Flood and heatwave in Japan 2018 and future increase of consecutive compound risk in a warmer world. AGU Fall Meeting Abstracts. 2019. 3 indexed citations

12.

Ménard, Cécile B., Richard Essery, Alan Barr, et al.. (2019). Meteorological and evaluation datasets for snow modelling at 10 reference sites: description of in situ and bias-corrected reanalysis data. Earth system science data. 11(2). 865–880. 39 indexed citations

13.

Yin, Zun, Catherine Ottlé, Philippe Ciais, et al.. (2018). Evaluation of ORCHIDEE-MICT-simulated soil moisture over China and impacts of different atmospheric forcing data. Hydrology and earth system sciences. 22(10). 5463–5484. 14 indexed citations

14.

Tangdamrongsub, Natthachet, Shin‐Chan Han, Mark Decker, In‐Young Yeo, & Hyungjun Kim. (2018). On the use of the GRACE normal equation of inter-satellite tracking data for estimation of soil moisture and groundwater in Australia. Hydrology and earth system sciences. 22(3). 1811–1829. 30 indexed citations

15.

Veldkamp, Ted, Yoshihide Wada, Jeroen C. J. H. Aerts, et al.. (2017). Water scarcity hotspots travel downstream due to human interventions in the 20th and 21st century. Nature Communications. 8(1). 15697–15697. 368 indexed citations breakdown →

16.

Yamazaki, Dai, et al.. (2017). Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods. Hydrology and earth system sciences. 21(10). 5143–5163. 31 indexed citations

17.

Maeda, Eduardo Eiji, Xuanlong Ma, Fabien Wagner, et al.. (2017). Evapotranspiration seasonality across the Amazon Basin. Earth System Dynamics. 8(2). 439–454. 83 indexed citations

18.

Schmied, Hannes Müller, Stephanie Eisner, Gabriel Fink, et al.. (2016). Variations of global and continental water balance components as impacted by climate forcing uncertainty and human water use. Hydrology and earth system sciences. 20(7). 2877–2898. 159 indexed citations

19.

Kim, Hyungjun, et al.. (2005). Development of a Combined Model for Flood Inundation Simulation. 5(4). 1–8. 1 indexed citations

20.

Kim, Wonsik, Hyungjun Kim, Joon Kim, et al.. (2003). Real Time Monitoring and Simulation System (RTMASS) for Tak Flux Measurement Site, Thailand. Korean Journal of Agricultural and Forest Meteorology. 5(2). 116–127. 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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