Dongkyun Kim

Dongkyun Kim

Hongik University

H-index: 23

Asia-South Korea

About Dongkyun Kim

Dongkyun Kim, With an exceptional h-index of 23 and a recent h-index of 16 (since 2020), a distinguished researcher at Hongik University, specializes in the field of Hydrology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Global Review of Modification, Optimization, and Improvement Models for Aquifer Vulnerability Assessment in the Era of Climate Change

Exploring How Machines Model Water Flow: Predicting Small-Scale Watershed Behavior in a Distributed Setting

Socio-Economic Vulnerability assessment and validation in Seoul, South Korea

Comparative study for coastal aquifer vulnerability assessment using deep learning and metaheuristic algorithms

An Effective Algorithm of Outlier Correction in Space–Time Radar Rainfall Data Based on the Iterative Localized Analysis

Improving the prediction of wildfire susceptibility on Hawaiʻi Island, Hawaiʻi, using explainable hybrid machine learning models

Effectiveness of Satellite-based Vegetation Index for Simulating Watershed Response Using an LSTM-based model in a Distributed Framework

A convolutional LSTM model with high accuracy to predict extreme precipitation space-time fields

Dongkyun Kim Information

University

Position

Associate Professor

Citations(all)

1191

Citations(since 2020)

802

Cited By

686

hIndex(all)

23

hIndex(since 2020)

16

i10Index(all)

40

i10Index(since 2020)

31

Email

University Profile Page

Hongik University

Google Scholar

View Google Scholar Profile

Dongkyun Kim Skills & Research Interests

Hydrology

Top articles of Dongkyun Kim

Title

Journal

Author(s)

Publication Date

Global Review of Modification, Optimization, and Improvement Models for Aquifer Vulnerability Assessment in the Era of Climate Change

Mojgan Bordbar

Fatemeh Rezaie

Sayed M Bateni

Changhyun Jun

Dongkyun Kim

...

2024/1/6

Exploring How Machines Model Water Flow: Predicting Small-Scale Watershed Behavior in a Distributed Setting

Dongkyun Kim

2024/3/7

Socio-Economic Vulnerability assessment and validation in Seoul, South Korea

Chi Vuong Tai

Dongkyun Kim

Soohyun Kim

Yongchan Kim

Hyojeong Choi

...

2024/3/7

Comparative study for coastal aquifer vulnerability assessment using deep learning and metaheuristic algorithms

Environmental Science and Pollution Research

Mojgan Bordbar

Essam Heggy

Changhyun Jun

Sayed M Bateni

Dongkyun Kim

...

2024/3/4

An Effective Algorithm of Outlier Correction in Space–Time Radar Rainfall Data Based on the Iterative Localized Analysis

IEEE Transactions on Geoscience and Remote Sensing

Yongchan Kim

Dongkyun Kim

Jeongha Park

Changhyun Jun

2024/2/15

Improving the prediction of wildfire susceptibility on Hawaiʻi Island, Hawaiʻi, using explainable hybrid machine learning models

Journal of environmental management

Trang Thi Kieu Tran

Saeid Janizadeh

Sayed M Bateni

Changhyun Jun

Dongkyun Kim

...

2024/2/1

Effectiveness of Satellite-based Vegetation Index for Simulating Watershed Response Using an LSTM-based model in a Distributed Framework

EGU General Assembly Conference Abstracts

Jeonghun Lee

Dongkyun Kim

2023/5

A convolutional LSTM model with high accuracy to predict extreme precipitation space-time fields

EGU General Assembly Conference Abstracts

Hyojeong Choi

Dongkyun Kim

2023/5

Embedding Climate Dynamics and Prediction with Deep Learning for Wind Power Forecasting: Short-Term to Long-Term Perspective

Hana Kim

Yong Oh Lee

Changsoo Ok

Dongkyun Kim

Seungyup Baek

2023/12/15

Waterbody Extraction from Small and Medium-Sized Streams Using Sentinel-1 Images Based on Shortest Plane Distance

EGU General Assembly Conference Abstracts

Soohyun Kim

Dongkyun Kim

2023/5

Understanding the Way Machines Simulate Hydrological Processes-A Case Study of Predicting Fine-scale Watershed Response on a Distributed Framework

IEEE Transactions on Geoscience and Remote Sensing

Dongkyun Kim

Yong Oh Lee

Changhyun Jun

SeokKoo Kang

2023/6/15

The future water vulnerability assessment of the Seoul metropolitan area using a hybrid framework composed of physically-based and deep-learning-based hydrologic models

Stochastic Environmental Research and Risk Assessment

Yongchan Kim

Eun-Sung Chung

Huidae Cho

Kyuhyun Byun

Dongkyun Kim

2023/5

Simulating sub-hourly rainfall data for current and future periods using two statistical disaggregation models–case studies from Germany and South Korea

Hydrology and Earth System Sciences Discussions

Ivan Vorobevskii

Jeongha Park

Dongkyun Kim

Klemens Barfus

Rico Kronenberg

2023/5/26

A stochastic approach to simulate realistic continuous snow depth time series

Journal of Hydrology

Jeongha Park

Dongkyun Kim

2023/2/1

Stochastic Simulation of Realistic Continuous Snow Depth Time Series

EGU General Assembly Conference Abstracts

Jeongha Park

Dongkyun Kim

2023/5

Prospect of future water resources in the basins of Chungju Dam and Soyang-gang Dam using a physics-based distributed hydrological model and a deep-learning-based LSTM model

Journal of Korea Water Resources Association

Yongchan Kim

Youngran Kim

Seonghwan Hwang

Dongkyun Kim

2022/12/31

A Stochastic Rainfall Generator Suitable for Modeling Future Compound Disasters Associated with Heavy Rainfall

EGU General Assembly Conference Abstracts

Dongkyun Kim

Christain Onof

Jeongha Park

Lipen Wang

2022/5

Estimation of rainfall threshold for flood warning for small urban watersheds based on the 1D–2D drainage model simulation

Stochastic Environmental Research and Risk Assessment

Duc Anh Dao

Dongkyun Kim

Dang Hai Ha Tran

2022/3

An algorithm of spatial composition of hourly rainfall fields for improved high rainfall value estimation

KSCE Journal of Civil Engineering

Jeongwoo Han

Francisco Olivera

Dongkyun Kim

2021/1

A simple scheme to adjust Poisson cluster rectangular pulse rainfall models for improved performance at sub-hourly timescales

Journal of Hydrology

Jeongha Park

David Cross

Christian Onof

Yuting Chen

Dongkyun Kim

2021/4/8

See List of Professors in Dongkyun Kim University(Hongik University)

Co-Authors

H-index: 82
Dragan Savic

Dragan Savic

University of Exeter

H-index: 65
Paolo Gardoni

Paolo Gardoni

University of Illinois at Urbana-Champaign

H-index: 49
Seth Guikema

Seth Guikema

University of Michigan

H-index: 40
Minha Choi

Minha Choi

Sungkyunkwan University

H-index: 36
Eunsoo Choi

Eunsoo Choi

Hongik University

academic-engine