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J
Jihoon Shin
university of seoul
15
H指数
65
论文数
651
被引数
0
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24
发表时间
发表时间
IF
被引数
Prevalence- and algorithm-dependent effects of resampling on prediction and interpretation in ecological niche models
Ecological Informatics
IF
7.3
2026-07-07
0
OA
AI
Dae-Seong Lee; Da-Yeong Lee; Sagar Adhurya; Jihoon Shin; YoungWoo Kim; Dong-Won Shim; YoonKyung Cha; Ihn-Sil Kwak; Young-Seuk Park
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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
Ecological Informatics
IF
7.3
2026-05-22
0
OA
AI
Taeseung Park; Se-Rin Park; Jihoon Shin; Hyunji Kim; Kyung-A You; Sang-Woo Lee; YoonKyung Cha
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Does Eco-labeling boost sales? Comparing environmental product declaration and low-carbon product certification
JOURNAL OF CLEANER PRODUCTION
IF
10
2026-01-01
0
OA
AI
Shin, Jeongmin; Shin, Jihoon; Shin, Jungwoo
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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
Environmental Modelling & Software
IF
4.6
2025-12-10
0
PRE
AI
Bongseok Jeong; Jihoon Shin; YoonKyung Cha
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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
Ecological Informatics
IF
7.3
2025-10-17
0
OA
AI
Jaegwan Park; Taeseung Park; Dogeon Lee; Jihoon Shin; Kyunghyun Kim; Jonggyu Jung; Hongtae Kim; YoonKyung Cha
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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
ENVIRONMENTAL ENGINEERING RESEARCH
IF
3
2025-10-01
0
PRE
AI
Lee, Gunhyeong; Shin, Jihoon; Kim, Young Woo; Han, Eun Jin; Yu, Chung Seok; Kim, Taeho; Cha, YoonKyung
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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
Bioresource Technology
IF
9
2025-08-15
0
PRE
AI
Chang Keun Kang; Jihoon Shin; Min Sun Kim; Min Sun Choi; YoonKyung Cha; Yong Jun Choi
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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
Water Research
IF
12.4
2025-07-02
0
PRE
AI
Young Woo Kim; YoonKyung Cha; Jihoon Shin
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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
Harmful Algae
IF
4.5
2025-05-21
0
PRE
AI
Taeho Kim; HaeDeun Lee; SooHyun Yang; GunHyeong Lee; Jihoon Shin; YoonKyung Cha
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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
WATER RESEARCH
IF
12.4
2025-01-01
0
PRE
AI
Shin, Jihoon; Cha, YoonKyung
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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
ECOLOGICAL INFORMATICS
IF
7.3
2024-09-01
1
OA
AI
Park, Taeseung; Shin, Jihoon; Park, Baekyung; Moon, Jeongsuk; Cha, Yoonkyung
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Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach
SCIENCE OF THE TOTAL ENVIRONMENT
IF
8
2024-02-01
9
PRE
AI
Shin, Jihoon; Lee, Gunhyeong; Kim, Taeho; Cho, Kyung Hwa; Hong, Seok Min; Kwon, Do Hyuck; Pyo, Jongcheol; Cha, Yoonkyung
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Changes in zooplankton community in response to a shift from lentic to lotic conditions in a regulated river
ECOLOGICAL INFORMATICS
IF
7.3
2023-11-01
3
PRE
AI
Park, Taeseung; Lee, Gunhyeong; Shin, Jihoon; Park, Jong-hwan; Choi, Byungwoong; Kim, Dong-Kyun; Cha, YoonKyung
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Incorporation of feature engineering and attention mechanisms into deep learning models to develop an early warning system for harmful algal blooms
将特征工程和注意力机制纳入深度学习模型,以开发有害藻华预警系统
JOURNAL OF CLEANER PRODUCTION
IF
10
2023-08-01
4
PRE
AI
Kim, TaeHo; Shin, Jihoon; Cha, YoonKyung
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Machine learning-guided prediction of potential engineering targets for microbial production of lycopene
BIORESOURCE TECHNOLOGY
IF
9
2023-02-01
9
PRE
AI
Kang, Chang Keun; Shin, Jihoon; Cha, YoonKyung; Kim, Min Sun; Choi, Min Sun; Kim, TaeHo; Park, Young -Kwon; Choi, Yong Jun
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Spatial distribution modeling of customer complaints using machine learning for indoor water leakage management
SUSTAINABLE CITIES AND SOCIETY
IF
12
2022-12-01
10
PRE
AI
Shin, Jihoon; Son, SangHyun; Cha, YoonKyung
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Simultaneous feature engineering and interpretation: Forecasting harmful algal blooms using a deep learning approach
同步特征工程和解释: 使用深度学习方法预测有害藻华
WATER RESEARCH
IF
12.4
2022-05-01
29
PRE
AI
Kim, TaeHo; Shin, Jihoon; Lee, DoYeon; Kim, YoungWoo; Na, Eunhye; Park, Jong-Hwan; Lim, Chaehong; Cha, YoonKyung
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Validity evaluation of a machine-learning model for chlorophyll a retrieval using Sentinel-2 from inland and coastal waters
使用来自内陆和沿海水域的Sentinel-2进行叶绿素a检索的机器学习模型的有效性评估
ECOLOGICAL INDICATORS
IF
7.4
2022-04-01
41
OA
AI
Kim, Young Woo; Kim, TaeHo; Shin, Jihoon; Lee, Dae-Seong; Park, Young-Seuk; Kim, Yeji; Cha, YoonKyung
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Learning hierarchical Bayesian networks to assess the interaction effects of controlling factors on spatiotemporal patterns of fecal pollution in streams
SCIENCE OF THE TOTAL ENVIRONMENT
IF
8
2022-03-01
4
PRE
AI
Kim, TaeHo; Lee, DoYeon; Shin, Jihoon; Kim, YoungWoo; Cha, YoonKyung
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Willingness to Pay for Improved Water Supply Services Based on Asset Management: A Contingent Valuation Study in South Korea
WATER
IF
3
2021-07-26
18
OA
AI
Kim, Taehyeon; Shin, Jihoon; Hyung, Jinseok; Kim, Kibum; Koo, Jayong; Cha, YoonKyung
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研究方向
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合作学者
合作期刊
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H 指数: 55 · 论文数: 327
Y
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H 指数: 43 · 论文数: 302
Y
Young Woo Kim
H 指数: 38 · 论文数: 211
S
S. Yang
H 指数: 37 · 论文数: 400
D
Doyeon Lee
H 指数: 35 · 论文数: 248
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