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YoonKyung Cha

University of Seoul

26H指数
91论文数
1.9K被引数
收录论文 44
发表时间
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Structurally constrained hierarchical learning for improving river health assessment using tabular transformers结构受限的层次化学习用于基于表格变换器的河流健康状况评估改进
errWater Research
IF12.4
err2026-09-05
err0
PREAI
errTaeseung Park; Jonggyu Jung; Jaegwan Park; SooHyun Yang; Jeongsuk Moon; YoonKyung Cha
err分享
err收藏
Process-aware physics-guided neural network framework for harmful algal bloom forecasting in lentic freshwater systems面向过程的物理引导神经网络框架用于静水淡水系统中有害藻类水华的预测
errWater Research
IF12.4
err2026-08-01
err0
PREAI
errJung, Jonggyu; Park, Taeseung; Park, Jaegwan; Cha, YoonKyung
err分享
err收藏
Prevalence- and algorithm-dependent effects of resampling on prediction and interpretation in ecological niche models
errEcological Informatics
IF7.3
err2026-07-07
err0
errOAAI
errDae-Seong Lee; Da-Yeong Lee; Sagar Adhurya; Jihoon Shin; YoungWoo Kim; Dong-Won Shim; YoonKyung Cha; Ihn-Sil Kwak; Young-Seuk Park
err分享
err收藏
Explainable machine learning for diagnosing ecological impairment in streams using reach-scale biological and environmental data基于河段尺度生物与环境数据，利用可解释机器学习诊断溪流生态受损
errEcological Informatics
IF7.3
err2026-05-22
err0
errOAAI
errTaeseung Park; Se-Rin Park; Jihoon Shin; Hyunji Kim; Kyung-A You; Sang-Woo Lee; YoonKyung Cha
err分享
err收藏
Development of a Self-Supervised Deep Learning Framework for Chlorophyll-a Retrieval in Data-Scarce Inland Waters数据稀疏内陆水体中叶绿素-a反演的自监督深度学习框架开发
errEnvironmental Modelling & Software
IF4.6
err2025-12-10
err0
PREAI
errBongseok Jeong; Jihoon Shin; YoonKyung Cha
err分享
err收藏
System-level total nitrogen prediction in MLE wastewater treatment using a modular merged LSTM framework基于模块化融合LSTM框架的MLE污水处理系统级总氮预测
errJournal of Water Process Engineering
IF6.7
err2025-12-05
err0
PREAI
errTaehyeon Kim; Jaegwan Park; Yoojin Oh; Haekeum Park; Jayong Koo; Mincheol Kim; Yoonkyung Cha
err分享
err收藏
Geographically weighted machine learning for predicting the spatial distribution of groundwater nitrate nitrogen (NO3-N) concentration地理加权机器学习方法用于预测地下水硝酸盐氮（NO3-N）浓度的空间分布
errJournal of Hydrology: Regional Studies
IF0
err2025-10-24
err0
errOAAI
errYounghun Lee; Changhyun Kim; Hyemin Jeong; Dongho Kim; Byeongwon Lee; Taeseung Park; Seongyun Kim; Dongjin Jeon; Jongho Ahn; Jai-Young Lee; Yoonkyung Cha; Sangchul Lee
err分享
err收藏
Generalizable deep learning forecasting of harmful algal blooms using transfer learning across river systems基于跨河流系统的迁移学习，实现可泛化的深度学习有害藻华预测
errEcological Informatics
IF7.3
err2025-10-17
err0
errOAAI
errJaegwan Park; Taeseung Park; Dogeon Lee; Jihoon Shin; Kyunghyun Kim; Jonggyu Jung; Hongtae Kim; YoonKyung Cha
err分享
err收藏
Deep learning-based prediction of exceeding the criteria for river chlorophyll a concentrations using high-frequency data from a sensor network基于深度学习的河流叶绿素a浓度超标预测：利用传感器网络高频数据
errENVIRONMENTAL ENGINEERING RESEARCH
IF3
err2025-10-01
err0
PREAI
errLee, Gunhyeong; Shin, Jihoon; Kim, Young Woo; Han, Eun Jin; Yu, Chung Seok; Kim, Taeho; Cha, YoonKyung
err分享
err收藏
Synthetic data-augmented machine learning approaches for tailor-made microbial conversion of methane to phytoene合成数据增强机器学习方法用于定制化微生物将甲烷转化为植烯
errBioresource Technology
IF9
err2025-08-15
err0
PREAI
errChang Keun Kang; Jihoon Shin; Min Sun Kim; Min Sun Choi; YoonKyung Cha; Yong Jun Choi
err分享
err收藏
Modeling ecosystem-wide responses to environmental stressors: A multi-trophic hierarchical Bayesian network approach模拟生态系统范围对环境胁迫因子的响应：一种多营养级层次贝叶斯网络方法
errJournal of Environmental Management
IF8.4
err2025-07-07
err0
PREAI
errTaeseung Park; Jaegwan Park; Dogeon Lee; Jounggyu Jung; Geumbit Hwang; Jeongsuk Moon; Hyun-Han Kwon; YoonKyung Cha
err分享
err收藏
A river network model using a weight-based merged LSTM for multi-source monitoring integration基于权重融合LSTM的河流网络模型，用于多源监测数据集成
errEcological Informatics
IF7.3
err2025-07-05
err0
errOAAI
errJonggyu Jung; Taeseung Park; Jaegwan Park; Dogeon Lee; YoonKyung Cha
err分享
err收藏
A modular deep learning surrogate model for simulating harmful algal blooms in complex process-based systems一种用于模拟复杂过程基系统中有害藻华的模块化深度学习代理模型
errWater Research
IF12.4
err2025-07-02
err0
PREAI
errYoung Woo Kim; YoonKyung Cha; Jihoon Shin
err分享
err收藏
Spatiotemporal dynamics of summer chlorophyll-a concentrations under varying drought conditions in a hierarchical Bayesian model层次贝叶斯模型下不同干旱条件下夏季叶绿素-a浓度的时空动态
errCHEMICAL ENGINEERING JOURNAL
IF13.2
err2025-06-01
err0
PREAI
errFabian, Pamela Sofia; Cha, YoonKyung; You, Kyung-A; Kwon, Hyun-Han
err分享
err收藏
Long-term spatiotemporal variability and regime classification of Chlorophyll-a concentrations in Lake Erie using satellite products利用卫星产品研究伊利湖叶绿素-a浓度的长期时空变异性和模式分类
errHarmful Algae
IF4.5
err2025-05-21
err0
PREAI
errTaeho Kim; HaeDeun Lee; SooHyun Yang; GunHyeong Lee; Jihoon Shin; YoonKyung Cha
err分享
err收藏
Development of a deep learning-based feature stream network for forecasting riverine harmful algal blooms from a network perspective基于深度学习的特征流网络的开发，用于从网络角度预测河流有害藻华
errWATER RESEARCH
IF12.4
err2025-01-01
err0
PREAI
errShin, Jihoon; Cha, YoonKyung
err分享
err收藏
Generalizability evaluations of heterogeneous ensembles for river health predictions用于河流健康预测的异质集合的可推广性评估
errECOLOGICAL INFORMATICS
IF7.3
err2024-09-01
err1
errOAAI
errPark, Taeseung; Shin, Jihoon; Park, Baekyung; Moon, Jeongsuk; Cha, Yoonkyung
err分享
err收藏
Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach
errSCIENCE OF THE TOTAL ENVIRONMENT
IF8
err2024-02-01
err9
PREAI
errShin, Jihoon; Lee, Gunhyeong; Kim, Taeho; Cho, Kyung Hwa; Hong, Seok Min; Kwon, Do Hyuck; Pyo, Jongcheol; Cha, Yoonkyung
err分享
err收藏
Projected climate change impact on cyanobacterial bloom phenology in temperate rivers based on temperature dependency
errWATER RESEARCH
IF12.4
err2024-02-01
err7
PREAI
errKim, Hyo Gyeom; Cha, Yoonkyung; Cho, Kyung Hwa
err分享
err收藏
Changes in zooplankton community in response to a shift from lentic to lotic conditions in a regulated river
errECOLOGICAL INFORMATICS
IF7.3
err2023-11-01
err3
PREAI
errPark, Taeseung; Lee, Gunhyeong; Shin, Jihoon; Park, Jong-hwan; Choi, Byungwoong; Kim, Dong-Kyun; Cha, YoonKyung
err分享
err收藏

研究方向

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合作学者
合作期刊
C
Craig A. Stow
H 指数: 56 · 论文数: 213
K
Kyung Hwa Cho
H 指数: 55 · 论文数: 327
T
Thomas F. Nalepa
H 指数: 53 · 论文数: 146
P
Patricia A. Soranno
H 指数: 50 · 论文数: 184
T
Thomas H. Johengen
H 指数: 45 · 论文数: 148
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