logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
Back
S

Sungwon Kim

luebeck university of applied sciences

38H-index
191Paper Count
5.0KCitation Count
Published Papers 54
Publication Date
logo
River water temperature prediction using REMD, RLMD, and SVMD coupled with deep learning models
errScientific Reports
IF3.9
err2026-09-03
err0
errOAAI
errNoureddine Daif; Dong Sop Rhee; Ozgur Kisi; Fabio Di Nunno; Francesco Granata; Salim Heddam; Sungwon Kim; Mariusz Ptak; Mariusz Sojka; Mohammad Zounemat-Kermani
errShare
errSave
Building a reliable coagulant dosage prediction framework for water purification processes using CatBoost and explainable AI (XAI)
errEngineering Applications of Computational Fluid Mechanics
IF5.4
err2026-08-19
err0
errOAAI
errKhaled Merabet; Il-Moon Chung; Amel Fouchal; Francesco Granata; Ozgur Kisi; Sungwon Kim; Salim Heddam; Mohammad Zounemat-Kermani
errShare
errSave
Explainable metaheuristic-optimized XGBoost models for chlorophyll-a concentration prediction: A comparative study based on SHAP and LIME interpretability
errJournal of Environmental Chemical Engineering
IF7.2
err2026-08-01
err0
PREAI
errMerabet, Khaled; Kim, Sungwon; Kisi, Ozgur; Granata, Francesco; Heddam, Salim; Zounemat-Kermani, Mohammad
errShare
errSave
Explainable ensemble learning models for predicting rheological and mechanical properties of Self-Compacting concrete
errAin Shams Engineering Journal
IF5.9
err2026-07-03
err0
errOAAI
errHang Yin; Meysam Alizamir; Salim Heddam; Aliakbar Gholampour; Sungwon Kim; Rana Muhammad Adnan Ikram
errShare
errSave
Improving prediction accuracy of mechanical strengths in high-performance concrete using advanced metaheuristic-based extreme learning machines: incorporation of SHAP and LIME model explainers
errAin Shams Engineering Journal
IF5.9
err2026-04-08
err0
errOAAI
errHang Yin; Meysam Alizamir; Salim Heddam; Sungwon Kim; Aliakbar Gholampour; Rana Muhammad Adnan Ikram
errShare
errSave
Deep learning fusion modeling of reference evapotranspiration with multi-source remote sensing data through addressing noise impacts
errSmart Agricultural Technology
IF5.7
err2026-02-17
err0
errOAAI
errMostafa Sadeghzadeh; Sepideh Karimi; Sungwon Kim; Jalal Shiri; Il-Moon Chung
errShare
errSave
Improved prediction of geopolymer concrete compressive strength using metaheuristic-enhanced extreme learning models with combined SHAP and LIME for sustainable construction
errAin Shams Engineering Journal
IF5.9
err2026-02-16
err0
errOAAI
errMeysam Alizamir; Aliakbar Gholampour; Sungwon Kim; Salim Heddam; Gum-Sung Ryu
errShare
errSave
Daily river water temperature prediction using regularized greedy forest enhanced TVF-EMD and empirical Fourier decomposition
errStochastic Environmental Research and Risk Assessment
IF3.6
err2026-01-22
err0
PREAI
errSalah Difi; Fabio Di Nunno; Francesco Granata; Ozgur Kisi; Salim Heddam; Sungwon Kim; Mariusz Ptak; Mariusz Sojka; Mohammad Zounemat-Kermani
errShare
errSave
A reanalysis of a genome-wide association study on breast cancer in Asian populations using the SG10K_Health reference panel for imputation: a multi-Centre case-control analysis
errHuman Molecular Genetics
IF3.2
err2026-01-01
err0
PREAI
errChang, Xuling; Mariapun, Shivaani; Li, Mengyu; Wang, Ling; Ho, Peh Joo; Khng, Alexis Jiaying; Muir, Kenneth R.; Lophatananon, Artitaya; Aronson, Kristan J.; Murphy, Rachel A.; Kwong, Ava; Au, Chun Hang; Kim, Sung-Won; Park, Sue K.; Stram, Daniel O.; Wu, Anna H.; Teo, Soo-Hwang; Yip, Cheng-Har; Tai, Nur Aishah Mohd; John, Esther M.; Kurian, Allison W.; Iwasaki, Motoki; Yamaji, Taiki; Choi, Ji-Yeob; Kang, Daehee; Shu, Xiao-Ou; Zheng, Wei; Hartman, Mikael; Tan, Ern Yu; Tan, Veronique Kiak-Mien; Lim, Geok Hoon; Bolla, Manjeet K.; Dunning, Alison M.; Dennis, Joe; Wang, Qin; Naven, Marc; Easton, Douglas F.; Dorajoo, Rajkumar; Ho, Weang-Kee; Li, Jingmei
errShare
errSave
A Comparative Evaluation of Deep Learning and Machine Learning Models for River Suspended Sediment Concentration Forecasting
errWater Resources Management
IF4.7
err2025-12-23
err0
PREAI
errAmin Gharehbaghi; Salim Heddam; Saeid Mehdizadeh; Sungwon Kim
errShare
errSave
Designing a robust extreme gradient boosting model with SHAP-based interpretation for predicting carbonation depth in recycled aggregate concrete
errArtificial Intelligence Review
IF13.9
err2025-11-11
err0
errOAAI
errMeysam Alizamir; Aliakbar Gholampour; Sungwon Kim; Salim Heddam; Jaehwan Kim
errShare
errSave
Daily soil temperature prediction using hybrid deep learning and SHAP for sustainable soil management
errEngineering Applications of Computational Fluid Mechanics
IF5.4
err2025-08-11
err0
errOAAI
errMeysam Alizamir; Kaywan Othman Ahmed; Salim Heddam; Sungwon Kim; Jeong Eun Lee
errShare
errSave
A robust and explainable deep learning model based on an LSTM-CNN framework for reliable FDOM prediction in water quality monitoring: Incorporating SHAP analysis for enhanced interpretability
errProcess Safety and Environmental Protection
IF7.8
err2025-07-16
err0
PREAI
errMeysam Alizamir; Salim Heddam; Sungwon Kim
errShare
errSave
Development of interpretable intelligent frameworks for estimating river water turbidity
errEngineering Applications of Computational Fluid Mechanics
IF5.4
err2025-06-06
err0
errOAAI
errAmin Gharehbaghi; Salim Heddam; Saeid Mehdizadeh; Sungwon Kim
errShare
errSave
Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations
errSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
IF3.6
err2025-04-28
err0
PREAI
errDaif, Noureddine; Di Nunno, Fabio; Granata, Francesco; Difi, Salah; Kisi, Ozgur; Heddam, Salim; Kim, Sungwon; Adnan, Rana Muhammad; Zounemat-Kermani, Mohammad
errShare
errSave
Extraction of Major Groundwater Ions from Total Dissolved Solids and Mineralization Using Artificial Neural Networks: A Case Study of the Aflou Syncline Region, Algeria
errhydrology
IF3.2
err2025-04-25
err0
errOAAI
errStamboul, Mohammed Elamin; Habib, Azzaz; Hamimed, Abderrahmane; Zakhrouf, Mousaab; Chung, Il-Moon; Kim, Sungwon
errShare
errSave
An efficient data fusion model based on Bayesian model averaging for robust water quality prediction using deep learning strategies
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2025-02-01
err0
PREAI
errAlizamir, Meysam; Moradveisi, Kayhan; Ahmed, Kaywan Othman; Bahrami, Jamil; Kim, Sungwon; Heddam, Salim
errShare
errSave
Designing a reliable machine learning system for accurately estimating the ultimate condition of FRP-confined concrete
errSCIENTIFIC REPORTS
IF3.9
err2024-09-03
err5
errOAAI
errAlizamir, Meysam; Gholampour, Aliakbar; Kim, Sungwon; Keshtegar, Behrooz; Jung, Woo-tai
errShare
errSave
A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration
errSCIENTIFIC REPORTS
IF3.9
err2024-05-09
err7
errOAAI
errJoshi, Bhupendra; Singh, Vijay Kumar; Vishwakarma, Dinesh Kumar; Ghorbani, Mohammad Ali; Kim, Sungwon; Gupta, Shivam; Chandola, V. K.; Rajput, Jitendra; Chung, Il-Moon; Yadav, Krishna Kumar; Mirzania, Ehsan; Al-Ansari, Nadhir; Mattar, Mohamed A.
errShare
errSave
River water temperature prediction using hybrid machine learning coupled signal decomposition: EWT versus MODWT
errECOLOGICAL INFORMATICS
IF7.3
err2023-12-01
err10
PREAI
errHeddam, Salim; Merabet, Khaled; Difi, Salah; Kim, Sungwon; Ptak, Mariusz; Sojka, Mariusz; Zounemat-Kermani, Mohammad; Kisi, Ozgur
errShare
errSave

Research Directions

The data has not been retrieved yet.
Co-authors
Cooperation Journals
T
Taeghwan Hyeon
H-index: 169 · Papers: 689
E
Esther M. John
H-index: 132 · Papers: 1.5K
M
M. Santosh
H-index: 128 · Papers: 1.5K
Ö
Özgür Kişi
H-index: 106 · Papers: 694
V
Vijay P. Singh
H-index: 103 · Papers: 1.1K
View more