Most cited papers from Dongyang University

Dongyang University

What are the most cited papers from Dongyang University?

The most cited paper from Dongyang University is "Effects of waste PET bottles aggregate on the properties of concrete" (Yun-Wang Choi, Dae-Joong Moon, Jee-Seung Chung et al., 2004), with 591 citations. Next come "Groundwater level prediction using machine learning models: A comprehensive review" (438) and "Daily water level forecasting using wavelet decomposition and artificial intelligence techniques" (310).

Published TypeFieldAccessCitations

Showing 50 of 61 papers. Every paper with more than 45 citations is listed.

Most cited papers, sortable by citations and release date
#	Paper
1	Effects of waste PET bottles aggregate on the properties of concrete Yun-Wang Choi, Dae-Joong Moon, Jee-Seung Chung et al. · Cement and Concrete Research	23 Jun 2004	591
2	Groundwater level prediction using machine learning models: A comprehensive review Tao Hai et al. · Neurocomputing Open access	14 Mar 2022	438
3	Daily water level forecasting using wavelet decomposition and artificial intelligence techniques Youngmin Seo, Sungwon Kim, Özgür Kişi et al. · Journal of Hydrology	26 Nov 2014	310
4	Neural networks and genetic algorithm approach for nonlinear evaporation and evapotranspiration modeling Sungwon Kim, Hung Soo Kim · Journal of Hydrology	18 Dec 2007	236
5	Comparative multi-omics systems analysis of Escherichia coli strains B and K-12 Sung Ho Yoon, Mee‐Jung Han, Haeyoung Jeong et al. · Genome biology Open access	25 May 2012	185
6	Simultaneous quantification of 14 ginsenosides in Panax ginseng C.A. Meyer (Korean red ginseng) by HPLC-ELSD and its application to quality control Su Na Kim, Young Wan Ha, Heungsop Shin et al. · Journal of Pharmaceutical and Biomedical Analysis	9 May 2007	183
7	Continuous Fabrication of Biocatalyst Immobilized Microparticles Using Photopolymerization and Immiscible Liquids in Microfluidic Systems Won Jeong, Jeongyun Kim, Jaebum Choo et al. · Langmuir	24 Mar 2005	181
8	A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions Meysam Alizamir, Sungwon Kim, Özgür Kişi et al. · Energy	26 Feb 2020	156
9	Advanced machine learning model for better prediction accuracy of soil temperature at different depths Meysam Alizamir, Özgür Kişi, Ali Najah Ahmed et al. · PLoS ONE Open access	14 Apr 2020	136
10	Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model Anurag Malik, Anil Kumar, Sungwon Kim et al. · Engineering Applications of Computational Fluid Mechanics Open access	2020	125
11	Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: A new approach Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Minh Tung Tran, Sungwon Kim et al. · Engineering Structures	Oct 2018	124
12	Drought forecasting using novel heuristic methods in a semi-arid environment Özgür Kişi, Alireza Docheshmeh Gorgij, Mohammad Zounemat‐Kermani et al. · Journal of Hydrology	19 Aug 2019	121
13	River Water Salinity Prediction Using Hybrid Machine Learning Models Assefa Mekonnen Melesse, Khabat Khosravi, John P. Tiefenbacher et al. · Water Open access	21 Oct 2020	118
14	Novel Hybrid Data-Intelligence Model for Forecasting Monthly Rainfall with Uncertainty Analysis Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Isa Ebtehaj, Sungwon Kim et al. · Water Open access	10 Mar 2019	114
15	Joint damage assessment of framed structures using a neural networks technique Chung‐Bang Yun, Jin‐Hak Yi, Eun Young Bahng · Engineering Structures	May 2001	114
16	Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network coupled with wavelet transform Meysam Alizamir, Jalal Shiri, Ahmad Fakheri Fard et al. · Engineering Applications of Artificial Intelligence	31 Mar 2023	108
17	Deciphering Clostridium tyrobutyricum Metabolism Based on the Whole-Genome Sequence and Proteome Analyses Joungmin Lee, Yu‐Sin Jang, Mee‐Jung Han et al. · mBio Open access	15 Jun 2016	105
18	Modeling daily soil temperature using data-driven models and spatial distribution Sungwon Kim, Vijay P. Singh · Theoretical and Applied Climatology	6 Jan 2014	101
19	Pan Evaporation Modeling Using Neural Computing Approach for Different Climatic Zones Sungwon Kim, Jalal Shiri, Özgür Kişi · Water Resources Management	13 Jun 2012	91
20	Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research Dukyong Yoon, Eun Kyoung Ahn, Man Young Park et al. · Healthcare Informatics Research Open access	2016	90
21	Lectins isolated from Korean mistletoe (Viscum album coloratum) induce apoptosis in tumor cells Taek Joon Yoon, Yung Choon Yoo, Tae‐Bong Kang et al. · Cancer Letters	Feb 1999	89
22	Can Decomposition Approaches Always Enhance Soft Computing Models? Predicting the Dissolved Oxygen Concentration in the St. Johns River, Florida Mohammad Zounemat‐Kermani, Youngmin Seo, Sungwon Kim et al. · Applied Sciences Open access	21 Jun 2019	84
23	Machine Learning Models Coupled with Variational Mode Decomposition: A New Approach for Modeling Daily Rainfall-Runoff Youngmin Seo, Sungwon Kim, Vijay Pal Singh · Atmosphere Open access	5 Jul 2018	83
24	Estimating Daily Pan Evaporation Using Different Data-Driven Methods and Lag-Time Patterns Sungwon Kim, Jalal Shiri, Özgür Kişi et al. · Water Resources Management	6 Feb 2013	82
25	Daily river flow forecasting using ensemble empirical mode decomposition based heuristic regression models: Application on the perennial rivers in Iran and South Korea Mohammad Rezaie-Balf, Sungwon Kim, Hossein Fallah et al. · Journal of Hydrology	15 Mar 2019	80
26	Estimating daily reference evapotranspiration using available and estimated climatic data by adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) Ana Pour-Ali Baba, Jalal Shiri, Özgür Kişi et al. · Hydrology research Open access	30 Jul 2012	79
27	Product development with data mining techniques: A case on design of digital camera Jae Kwon Bae, Jin-Hwa Kim · Expert Systems with Applications	5 Feb 2011	79
28	An interpretable XGBoost-SHAP machine learning model for reliable prediction of mechanical properties in waste foundry sand-based eco-friendly concrete Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram et al. · Results in Engineering Open access	6 Feb 2025	78
29	Instantaneous and objective flow regime identification method for the vertical upward and downward co-current two-phase flow Jae Young Lee, Mamoru Ishii, Nam-seok Kim · International Journal of Heat and Mass Transfer	20 Feb 2008	78
30	Drought index prediction using advanced fuzzy logic model: Regional case study over Kumaon in India Anurag Malik, Anil Kumar, Sinan Q. Salih et al. · PLoS ONE Open access	21 May 2020	76
31	Predicting daily pan evaporation by soft computing models with limited climatic data Sungwon Kim, Jalal Shiri, Vijay P. Singh et al. · Hydrological Sciences Journal Open access	24 Jul 2014	76
32	On the implementation of a novel data-intelligence model based on extreme learning machine optimized by bat algorithm for estimating daily chlorophyll-a concentration: Case studies of river and lake in USA Meysam Alizamir, Salim Heddam, Sungwon Kim et al. · Journal of Cleaner Production	30 Oct 2020	70
33	Prophylactic effect of Korean mistletoe (Viscum album coloratum) extract on tumor metastasis is mediated by enhancement of NK cell activity Taek Joon Yoon, Yung Choon Yoo, Tae‐Bong Kang et al. · International Journal of Immunopharmacology	Aug 1998	70
34	Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea Sungwon Kim, Meysam Alizamir, Mohammad Zounemat‐Kermani et al. · Journal of Environmental Management	5 Jun 2020	69
35	Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia Mohammad Ali Ghorbani, Ravinesh Chand Deo, Sungwon Kim et al. · Soft Computing	9 Jan 2020	69
36	Shear strength and behavior of steel fiber reinforced concrete columns under seismic loading Hyun-Ho Lee · Engineering Structures	5 Oct 2006	68
37	Predicting water quality variables using gradient boosting machine: global versus local explainability using SHapley Additive Explanations (SHAP) Khaled Merabet, Fabio Di Nunno, Francesco Granata et al. · Earth Science Informatics	27 Feb 2025	66
38	Estimating Spatial Precipitation Using Regression Kriging and Artificial Neural Network Residual Kriging (RKNNRK) Hybrid Approach Youngmin Seo, Sungwon Kim, Vijay P. Singh · Water Resources Management	24 Jan 2015	66
39	Development of a surface plasmon resonance-based immunosensor for the rapid detection of cardiac troponin I Young-Chul Kwon, Min‐Gon Kim, Eon-Mi Kim et al. · Biotechnology Letters	4 Jan 2011	66
40	Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenarios Naser Shiri, Jalal Shiri, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ et al. · PLoS ONE Open access	27 May 2021	64
41	Forecasting Daily Solar Radiation Using CEEMDAN Decomposition-Based MARS Model Trained by Crow Search Algorithm Mohammad Rezaie-Balf, Niloofar Maleki, Sungwon Kim et al. · Energies Open access	12 Apr 2019	64
42	The viability of co-active fuzzy inference system model for monthly reference evapotranspiration estimation: case study of Uttarakhand State Anurag Malik, Anil Kumar, Mohammad Ali Ghorbani et al. · Hydrology research Open access	8 Oct 2019	63
43	Antitumor activity of the Korean Mistletoe Lectin is attributed to activation of macrophages and NK cells Taek Joon Yoon, Yung Choon Yoo, Tae‐Bong Kang et al. · Archives of Pharmacal Research	Oct 2003	63
44	Groundwater-Potential Mapping Using a Self-Learning Bayesian Network Model: A Comparison among Metaheuristic Algorithms Sadegh Karimi-Rizvandi, Hamid Valipoori Goodarzi, Javad Hatami Afkoueieh et al. · Water Open access	28 Feb 2021	62
45	Inhibitory effect of Korean mistletoe (Viscum album coloratum) extract on tumour angiogenesis and metastasis of haematogenous and non-haematogenous tumour cells in mice Taek Joon Yoon, Yung Choon Yoo, Ok Byung Choi et al. · Cancer Letters	Oct 1995	61
46	Estimation of daily dew point temperature using genetic programming and neural networks approaches Jalal Shiri, Sungwon Kim, Özgür Kişi · Hydrology research Open access	17 Aug 2013	60
47	Soft Computing Techniques for Rainfall-Runoff Simulation: Local Non–Parametric Paradigm vs. Model Classification Methods Mohammad Rezaie-Balf, Zahra Zahmatkesh, Sungwon Kim · Water Resources Management	Jun 2017	55
48	Deep Learning (Fast R-CNN)-Based Evaluation of Rail Surface Defects Jung-Youl Choi, Jae-Min Han · Applied Sciences Open access	25 Feb 2024	54
49	A Feasibility Study on the Application of Basic Oxygen Furnace (BOF) Steel Slag for Railway Ballast Material Taehoon Koh, Sung-Woo Moon, Hyuk-Sang Jung et al. · Sustainability Open access	23 Jan 2018	51
50	Dietary Korean mistletoe enhances cellular non-specific immune responses and survival of Japanese eel (Anguilla japonica) Sang‐Hoon Choi, Kwan-Ha Park, Taek-Joon Yoon et al. · Fish & Shellfish Immunology	6 Oct 2007	51

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.