Sungwon Kim

Навело

	Све	Од 2020
Наводи	4537	3333
h-индекс	38	34
i10-индекс	81	63

760

380

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Коаутори

Ozgur KisiDepartment of Civil Engineering, University of Applied Sciences, Lübeck, GermanyВерификована је имејл адреса на th-luebeck.de
Vijay P. SinghTexas A&M UniversityВерификована је имејл адреса на tamu.edu
HEDDAM SALIM, HDR, Full ProfessorFaculty of Science, Agronomy Department, Hydraulic Division University 20 Août 1955 SKIKDA 21000Верификована је имејл адреса на univ-skikda.dz
Mohammad Zounemat-KermaniDepartment of Water Engineering, Shahid Bahonar University of Kerman, Kerman, IranВерификована је имејл адреса на uk.ac.ir
Meysam AlizamirPhD, Civil engineering departmentВерификована је имејл адреса на iauh.ac.ir
Zaher Mundher Yaseen "highly cited r...King Fahd University of Petroleum and MineralsВерификована је имејл адреса на kfupm.edu.sa
Jalal ShiriUniversity of TabrizВерификована је имејл адреса на tabrizu.ac.ir
M.A.GhorbaniUniversity of Tabriz and Near East UniversityВерификована је имејл адреса на tabrizu.ac.ir
Anurag MalikPunjab Agricultural UniversityВерификована је имејл адреса на pau.edu
Nam-Won KimKorea Institute of Civil Engineering and Building TechnologyВерификована је имејл адреса на kict.re.kr
Mohammad Rezaie-BalfDepartment of Civil Engineering, Graduate University of Advanced Technology-KermanВерификована је имејл адреса на student.kgut.ac.ir
Nadhir Al-AnsariLulea University of TechnologyВерификована је имејл адреса на ltu.se
Il-Moon ChungSenior Research Fellow, KICTВерификована је имејл адреса на kict.re.kr
Mahsa H. KashaniUniversity of Mohaghegh ArdabiliВерификована је имејл адреса на uma.ac.ir
Shamsuddin ShahidProfessor, Universiti Teknologi MalaysiaВерификована је имејл адреса на utm.my
ALI DANANDEH MEHRProfessor of Civil and Env. Eng., Antalya Bilim University, TürkiyeВерификована је имејл адреса на antalya.edu.tr
Anil KumarComputer OperatorВерификована је имејл адреса на newsc9.com
Sinan SalihAl-Bayan UniversityВерификована је имејл адреса на albayan.edu.iq
Professor Ravinesh Deo, Highly Cited...Professor in Mathematics and Artificial IntelligenceВерификована је имејл адреса на usq.edu.au
Alireza Docheshmeh GorgijUniversity of Sistan and BaluchestanВерификована је имејл адреса на Eng.USB.ac.ir

Прати

Sungwon Kim

Professor, Dept. of Railroad Construction and Safety Engineering, Dongyang University

Верификована је имејл адреса на dyu.ac.kr - Почетна страница

Hydrology Hydrometeorology Water Resources Data-Driven Modeling Climate Change


Наслов Сортирај по наводима Сортирај по години Сортирај по наслову	Навело Навело	Година
Daily water level forecasting using wavelet decomposition and artificial intelligence techniques Y Seo, S Kim, O Kisi, VP Singh Journal of Hydrology 520, 224-243, 2015	336	2015
Neural networks and genetic algorithm approach for nonlinear evaporation and evapotranspiration modeling S Kim, HS Kim Journal of Hydrology 351 (3-4), 299-317, 2008	299	2008
Groundwater level prediction using machine learning models: A comprehensive review Neurocomputing 489, 271-308, 2022	270	2022
A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions M Alizamir, S Kim, O Kisi, M Zounemat-Kermani Energy 197, 117239, 2020	143	2020
Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: a new approach ZM Yaseen, MT Tran, S Kim, T Bakhshpoori, RC Deo Engineering Structures 177, 244-255, 2018	140	2018
Drought forecasting using novel heuristic methods in a semi-arid environment O Kisi, AD Gorgij, M Zounemat-Kermani, A Mahdavi-Meymand, S Kim Journal of Hydrology 578, 124053, 2019	115	2019
Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model A Malik, A Kumar, S Kim, MH Kashani, V Karimi, A Sharafati, MA Ghorbani, ... Engineering Applications of Computational Fluid Mechanics 14 (1), 323-338, 2020	113	2020
Novel hybrid data-intelligence model for forecasting monthly rainfall with uncertainty analysis ZM Yaseen, I Ebtehaj, S Kim, H Sanikhani, H Asadi, MI Ghareb, ... Water 11 (3), 502, 2019	107	2019
River salinity prediction using hybrid machine learning models AM Melesse, K Khosravi, JP Tiefenbacher, S Heddam, S Kim, A Mosavi, ... Water 12 (10), 2951, 2020	104	2020
Modeling daily soil temperature using data-driven models and spatial distribution S Kim, VP Singh Theoretical and Applied Climatology 118, 465-479, 2014	104	2014
Advanced machine learning model for better prediction accuracy of soil temperature at different depths M Alizamir, O Kisi, AN Ahmed, C Mert, CM Fai, S Kim, NW Kim, ... PLoS ONE 15 (4), e0231055, 2020	101	2020
Pan evaporation modeling using neural computing approach for different climatic zones S Kim, J Shiri, O Kisi Water Resources Management 26, 3231-3249, 2012	99	2012
Estimating daily pan evaporation using different data-driven methods and lag-time patterns S Kim, J Shiri, O Kisi, VP Singh Water Resources Management 27, 2267-2286, 2013	92	2013
Estimating daily reference evapotranspiration using available and estimated climatic data by adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) A Pour-Ali Baba, J Shiri, O Kisi, AF Fard, S Kim, R Amini Hydrology Research 44 (1), 131-146, 2013	86	2013
Daily river flow forecasting using ensemble empirical mode decomposition based heuristic regression models: Application on the perennial rivers in Iran and South Korea M Rezaie-Balf, S Kim, H Fallah, S Alaghmand Journal of Hydrology 572, 470-485, 2019	80	2019
Improving the accuracy of daily solar radiation prediction using an efficient hybrid deep learning model: Long short-term memory (LSTM) network coupled with wavelet transform M Alizamir, J Shiri, AF Fard, S Kim, AD Gorgij, S Heddam, VP Singh Engineering Applications of Artificial Intelligence 123 (PART A), 106199, 2023	74*	2023
Drought index prediction using advanced fuzzy logic model: Regional case study over Kumaon in India A Malik, A Kumar, SQ Salih, S Kim, NW Kim, ZM Yaseen, VP Singh PLoS ONE 15 (5), e0233280, 2020	74	2020
Can decomposition approaches always enhance soft computing models? Predicting the dissolved oxygen concentration in the St. Johns River, Florida M Zounemat-Kermani, Y Seo, S Kim, MA Ghorbani, S Samadianfard, ... Applied Sciences 9 (12), 2534, 2019	74	2019
Machine learning models coupled with variational mode decomposition: a new approach for modeling daily rainfall-runoff Y Seo, S Kim, VP Singh Atmosphere 9 (7), 251, 2018	74	2018
Estimating spatial precipitation using regression kriging and artificial neural network residual kriging (RKNNRK) hybrid approach Y Seo, S Kim, VP Singh Water Resources Management 29, 2189-2204, 2015	73	2015

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