Research graph
References from Sustainable Evaluation of “Four New” Asphalt Pavement Maintenance Technologies: A Multi-Objective Grey Coupled Model Approach. Local targets link to admitted publications; unresolved targets remain external evidence.
10.3390/ma16031047
10.3390/ma16031047 · External reference
Selecting the optimal network-level pavement maintenance budget scenario based on sustainable considerations
10.1016/j.trd.2021.102919 · 2021 · External reference
Pavement Performance Analysis for Overweight Trucks in Texas
10.1177/03611981251333720 · 2025 · External reference
Reliability Analysis of a Bridge Deck Utilizing Generalized Gamma Distribution
10.1061/(asce)be.1943-5592.0001842 · 2022 · External reference
10.3390/app13158842
10.3390/app13158842 · External reference
Impact of environmental assessment and budgetary restrictions in pavement maintenance decisions: Application to an urban network
10.1016/j.trd.2017.12.017 · 2018 · External reference
LCA and LCCA based Multi-objective Optimization of Pavement Maintenance
10.1016/j.jclepro.2020.124583 · 2020 · External reference
Study of the Mixing between Asphalt and Rejuvenator in Hot In-Place Recycled Layer
10.1061/jpeodx.pveng-1033 · 2023 · External reference
Field observations and laboratory evaluations of asphalt pavement maintenance using hot in-place recycling
10.1016/j.conbuildmat.2020.121864 · 2021 · External reference
Multi-Objective Optimization of Maintenance, Rehabilitation, and Reconstruction Decision Making Considering Safety
10.1177/03611981231171152 · 2024 · External reference
Multi-objective optimization for pavement maintenance and rehabilitation decision-making: A critical review and future directions
10.1016/j.autcon.2021.103840 · 2021 · External reference
Integration of Pavement Roughness into Safety Performance Functions of Two-Lane Rural Roads in Pennsylvania
10.1061/jpeodx.pveng-1421 · 2024 · External reference
Development of Evaluation Methods for High-Viscosity-Modified Asphalt Using Gray Cor-relation and Regression Analysis
10.1155/adce/6400149 · 2025 · External reference
Explaining Heterogeneity in Pavement Deterioration: Clusterwise Linear Regression Model
10.1061/(asce)is.1943-555x.0000182 · 2014 · External reference
Cost-effectiveness evaluation of pavement maintenance treatments using multiple regression and life-cycle cost analysis
10.1016/j.conbuildmat.2021.123461 · 2021 · External reference
10.3390/app11209706
10.3390/app11209706 · External reference
Variability evaluation of gradation for asphalt mixture in asphalt pavement construction
10.1016/j.autcon.2021.103742 · 2021 · External reference
Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncer-tainty Measurement and Entropy Theory
10.1155/2021/9995926 · 2021 · External reference
10.3390/coatings12081124
10.3390/coatings12081124 · External reference
Research and applications of artificial neural network in pavement engineering: A state-of-the-art review
2021 · External reference
10.3390/buildings14103048
10.3390/buildings14103048 · External reference
10.3390/app13179756
10.3390/app13179756 · External reference
10.3390/buildings11120577
10.3390/buildings11120577 · External reference
10.3390/su14126949
10.3390/su14126949 · External reference
Evaluation of Pavement Condition Index Using Artificial Neural Network Approach
10.1007/s40890-021-00130-7 · 2021 · External reference
Predicting pavement condition index based on the utilization of machine learning techniques: A case study
10.1016/j.jreng.2023.04.002 · 2023 · External reference
Integration of deep learning techniques and sustainability-based concepts into an urban pavement management system
10.1016/j.eswa.2023.120851 · 2023 · External reference
A weighted multi-output neural network model for the prediction of rigid pavement deterioration
10.1080/10298436.2020.1867854 · 2022 · External reference
10.3390/su15010561
10.3390/su15010561 · External reference
10.3390/mca27060112
10.3390/mca27060112 · External reference
10.3390/en15010068
10.3390/en15010068 · External reference
Multi-objective optimization of PEM fuel cell by coupled significant variables recogni-tion, surrogate models and a multi-objective genetic algorithm
10.1016/j.enconman.2021.114063 · 2021 · External reference
Review of the grey wolf optimization algorithm: Variants and applications
10.1007/s00521-023-09202-8 · 2024 · External reference
Fractional orthopair fuzzy decision framework for sustainable water resource management in urban areas
10.1038/s41598-025-27126-2 · 2025 · External reference
Multi-objective optimization in highway pavement maintenance and rehabilitation project selection and scheduling: A state-of-the-art review
10.1016/j.jreng.2023.05.003 · 2023 · External reference
10.3390/app11219839
10.3390/app11219839 · External reference
A novel technique for multi-objective sustainable decisions for pavement maintenance and rehabilitation
2024 · External reference
Negative grey relational model and measurement of the reverse incentive effect of fields medal
10.1108/gs-10-2021-0148 · 2023 · External reference
Modelling of pavement performance evolution considering uncertainty and interpretability: A machine learning based framework
10.1080/10298436.2021.2001814 · 2022 · External reference
10.3390/su15129617
10.3390/su15129617 · External reference
An ensemble learning model for asphalt pavement performance prediction based on gradient boosting decision tree
10.1080/10298436.2021.1910825 · 2022 · External reference
Field calibration and validation of a pavement aging model
10.1080/10298436.2022.2027416 · 2023 · External reference
10.3390/s23167139
10.3390/s23167139 · External reference
Interactive data-driven multiobjective optimization of metallurgical properties of microalloyed steels using the DESDEO framework
10.1016/j.engappai.2023.105918 · 2023 · External reference
Research on Grey Relational Clustering Model of Multiobjective Human Resources Based on Time Constraint
2021 · External reference
A hierarchical modeling approach for degradation data with mixed-type covariates and latent heter-ogeneity
10.1016/j.ress.2021.107928 · 2021 · External reference
10.3390/w13101424
10.3390/w13101424 · External reference
Which Service Attributes Sway Internet Service Providers? Analysis Through Triangulation Ap-proach
10.1177/21582440211067232 · 2021 · External reference
Correction to: Improvement of grey system model using particle swarm optimization
10.1186/s43067-021-00037-8 · 2021 · External reference
Generalized fractional grey system models: The memory effects perspective
10.1016/j.isatra.2021.07.037 · 2021 · External reference
Two novel nonlinear multivariate grey models with kernel learning for small-sample time series prediction
10.1007/s11071-023-08296-y · 2023 · External reference
An Improved Grey Model with Time Power and Its Application
10.1155/2022/6910865 · 2022 · External reference
Unresolved reference
External reference
Review of the grey wolf optimization algorithm: Variants and applications
10.1007/s00521-023-09202-8 · ExternalCitation · doi-reference
Two novel nonlinear multivariate grey models with kernel learning for small-sample time series prediction
10.1007/s11071-023-08296-y · ExternalCitation · doi-reference
Evaluation of Pavement Condition Index Using Artificial Neural Network Approach
10.1007/s40890-021-00130-7 · ExternalCitation · doi-reference
Variability evaluation of gradation for asphalt mixture in asphalt pavement construction
10.1016/j.autcon.2021.103742 · ExternalCitation · doi-reference
Multi-objective optimization for pavement maintenance and rehabilitation decision-making: A critical review and future directions
10.1016/j.autcon.2021.103840 · ExternalCitation · doi-reference
Field observations and laboratory evaluations of asphalt pavement maintenance using hot in-place recycling
10.1016/j.conbuildmat.2020.121864 · ExternalCitation · doi-reference
Cost-effectiveness evaluation of pavement maintenance treatments using multiple regression and life-cycle cost analysis
10.1016/j.conbuildmat.2021.123461 · ExternalCitation · doi-reference
Multi-objective optimization of PEM fuel cell by coupled significant variables recogni-tion, surrogate models and a multi-objective genetic algorithm
10.1016/j.enconman.2021.114063 · ExternalCitation · doi-reference
Interactive data-driven multiobjective optimization of metallurgical properties of microalloyed steels using the DESDEO framework
10.1016/j.engappai.2023.105918 · ExternalCitation · doi-reference
Integration of deep learning techniques and sustainability-based concepts into an urban pavement management system
10.1016/j.eswa.2023.120851 · ExternalCitation · doi-reference
Generalized fractional grey system models: The memory effects perspective
10.1016/j.isatra.2021.07.037 · ExternalCitation · doi-reference
LCA and LCCA based Multi-objective Optimization of Pavement Maintenance
10.1016/j.jclepro.2020.124583 · ExternalCitation · doi-reference
Predicting pavement condition index based on the utilization of machine learning techniques: A case study
10.1016/j.jreng.2023.04.002 · ExternalCitation · doi-reference
Multi-objective optimization in highway pavement maintenance and rehabilitation project selection and scheduling: A state-of-the-art review
10.1016/j.jreng.2023.05.003 · ExternalCitation · doi-reference
A hierarchical modeling approach for degradation data with mixed-type covariates and latent heter-ogeneity
10.1016/j.ress.2021.107928 · ExternalCitation · doi-reference
Impact of environmental assessment and budgetary restrictions in pavement maintenance decisions: Application to an urban network
10.1016/j.trd.2017.12.017 · ExternalCitation · doi-reference
Selecting the optimal network-level pavement maintenance budget scenario based on sustainable considerations
10.1016/j.trd.2021.102919 · ExternalCitation · doi-reference
Fractional orthopair fuzzy decision framework for sustainable water resource management in urban areas
10.1038/s41598-025-27126-2 · ExternalCitation · doi-reference
Reliability Analysis of a Bridge Deck Utilizing Generalized Gamma Distribution
10.1061/(asce)be.1943-5592.0001842 · ExternalCitation · doi-reference
Explaining Heterogeneity in Pavement Deterioration: Clusterwise Linear Regression Model
10.1061/(asce)is.1943-555x.0000182 · ExternalCitation · doi-reference
Study of the Mixing between Asphalt and Rejuvenator in Hot In-Place Recycled Layer
10.1061/jpeodx.pveng-1033 · ExternalCitation · doi-reference
Integration of Pavement Roughness into Safety Performance Functions of Two-Lane Rural Roads in Pennsylvania
10.1061/jpeodx.pveng-1421 · ExternalCitation · doi-reference
A weighted multi-output neural network model for the prediction of rigid pavement deterioration
10.1080/10298436.2020.1867854 · ExternalCitation · doi-reference
An ensemble learning model for asphalt pavement performance prediction based on gradient boosting decision tree
10.1080/10298436.2021.1910825 · ExternalCitation · doi-reference
Modelling of pavement performance evolution considering uncertainty and interpretability: A machine learning based framework
10.1080/10298436.2021.2001814 · ExternalCitation · doi-reference
Field calibration and validation of a pavement aging model
10.1080/10298436.2022.2027416 · ExternalCitation · doi-reference
Negative grey relational model and measurement of the reverse incentive effect of fields medal
10.1108/gs-10-2021-0148 · ExternalCitation · doi-reference
Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncer-tainty Measurement and Entropy Theory
10.1155/2021/9995926 · ExternalCitation · doi-reference
An Improved Grey Model with Time Power and Its Application
10.1155/2022/6910865 · ExternalCitation · doi-reference
Development of Evaluation Methods for High-Viscosity-Modified Asphalt Using Gray Cor-relation and Regression Analysis
10.1155/adce/6400149 · ExternalCitation · doi-reference
Multi-Objective Optimization of Maintenance, Rehabilitation, and Reconstruction Decision Making Considering Safety
10.1177/03611981231171152 · ExternalCitation · doi-reference
Pavement Performance Analysis for Overweight Trucks in Texas
10.1177/03611981251333720 · ExternalCitation · doi-reference
Which Service Attributes Sway Internet Service Providers? Analysis Through Triangulation Ap-proach
10.1177/21582440211067232 · ExternalCitation · doi-reference
Correction to: Improvement of grey system model using particle swarm optimization
10.1186/s43067-021-00037-8 · ExternalCitation · doi-reference
10.3390/app11209706
10.3390/app11209706 · ExternalCitation · doi-reference
10.3390/app11219839
10.3390/app11219839 · ExternalCitation · doi-reference
10.3390/app13158842
10.3390/app13158842 · ExternalCitation · doi-reference
10.3390/app13179756
10.3390/app13179756 · ExternalCitation · doi-reference
10.3390/buildings11120577
10.3390/buildings11120577 · ExternalCitation · doi-reference
10.3390/buildings14103048
10.3390/buildings14103048 · ExternalCitation · doi-reference
10.3390/coatings12081124
10.3390/coatings12081124 · ExternalCitation · doi-reference
10.3390/en15010068
10.3390/en15010068 · ExternalCitation · doi-reference
10.3390/ma16031047
10.3390/ma16031047 · ExternalCitation · doi-reference
10.3390/mca27060112
10.3390/mca27060112 · ExternalCitation · doi-reference
10.3390/s23167139
10.3390/s23167139 · ExternalCitation · doi-reference
10.3390/su14126949
10.3390/su14126949 · ExternalCitation · doi-reference
10.3390/su15010561
10.3390/su15010561 · ExternalCitation · doi-reference
10.3390/su15129617
10.3390/su15129617 · ExternalCitation · doi-reference
10.3390/w13101424
10.3390/w13101424 · ExternalCitation · doi-reference
