| 1 | Geospatial urban heat mapping with interpretable machine learning and deep learning: a case study in Hue City, Vietnam | 2.7 | 25 | Citations (PDF) |
| 2 | From Data to Insights: Modeling Urban Land Surface Temperature Using Geospatial Analysis and Interpretable Machine Learning | 3.0 | 33 | Citations (PDF) |
| 3 | Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach | 0.0 | 6 | Citations (PDF) |
| 4 | Geospatial Analysis and Machine Learning Framework for Urban Heat Island Intensity Prediction: Natural Gradient Boosting and Deep Neural Network Regressors with Multisource Remote Sensing Data | 2.9 | 15 | Citations (PDF) |
| 5 | An interpretable machine learning framework for mapping hotspots and identifying their driving factors in urban environments during heat waves | 2.9 | 5 | Citations (PDF) |
| 6 | Histogram-based gradient boosting machine with SHAP-driven interpretability for predicting intensity of urban heat Island effect | 0.0 | 5 | Citations (PDF) |
| 7 | Predicting Compressive Strength of High-Performance Concrete Using Hybridization of Nature-Inspired Metaheuristic and Gradient Boosting Machine | 1.9 | 18 | Citations (PDF) |
| 8 | Structural Condition Assessment of Steel Anchorage Using Convolutional Neural Networks and Admittance Response | 2.7 | 3 | Citations (PDF) |
| 9 | Enhancement of PZT-based damage detection in real-scale post-tensioned anchorage under ambient conditions | 4.0 | 6 | Citations (PDF) |
| 10 | Leveraging a Hybrid Machine Learning Approach for Compressive Strength Estimation of Roller-Compacted Concrete with Recycled Aggregates | 1.9 | 18 | Citations (PDF) |
| 11 | A Proof-of-Concept Study of Stability Monitoring of Implant Structure by Deep Learning of Local Vibrational Characteristics | 3.5 | 1 | Citations (PDF) |
| 12 | Predicting tensile strength of steel fiber-reinforced concrete based on a novel differential evolution-optimized extreme gradient boosting machine | 3.8 | 9 | Citations (PDF) |
| 13 | Metaheuristic optimization of extreme gradient boosting machine for enhanced prediction of lateral strength of reinforced concrete columns under cyclic loadings | 6.8 | 17 | Citations (PDF) |
| 14 | Electromechanical admittance-based automatic damage assessment in plate structures via one-dimensional CNN-based deep learning models | 2.6 | 10 | Citations (PDF) |
| 15 | Comparison of histogram-based gradient boosting classification machine, random Forest, and deep convolutional neural network for pavement raveling severity classification | 10.6 | 120 | Citations (PDF) |
| 16 | Image processing-based classification of pavement fatigue severity using extremely randomized trees, deep neural network, and convolutional neural network | 3.2 | 6 | Citations (PDF) |
| 17 | Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using a novel regularized deep learning approach | 1.6 | 14 | Citations (PDF) |
| 18 | Corrigendum to “The use of bioshields for coastal protection in Vietnam: Current status and potential” [ Reg. Stud. Mar. Sci. 47 (2021) 101945] | 1.0 | 0 | Citations (PDF) |
| 19 | Computer Vision-Based Severity Classification of Asphalt Pavement Raveling Using Advanced Gradient Boosting Machines and Lightweight Texture Descriptors | 1.5 | 3 | Citations (PDF) |
| 20 | A novel ant colony-optimized extreme gradient boosting machine for estimating compressive strength of recycled aggregate concrete | 1.6 | 23 | Citations (PDF) |
| 21 | Estimating the compressive strength of roller compacted concrete using a novel swarm-optimised light gradient boosting machine | 3.2 | 11 | Citations (PDF) |
| 22 | Compressive strength estimation of rice husk ash-blended high-strength concrete using diffGrad-optimized deep learning approach | 1.6 | 3 | Citations (PDF) |
| 23 | Computer vision based asphalt pavement segregation detection using image texture analysis integrated with extreme gradient boosting machine and deep convolutional neural networks | 4.8 | 25 | Citations (PDF) |
| 24 | Computer vision-based classification of concrete spall severity using metaheuristic-optimized Extreme Gradient Boosting Machine and Deep Convolutional Neural Network | 10.6 | 57 | Citations (PDF) |
| 25 | A novel whale optimization algorithm optimized XGBoost regression for estimating bearing capacity of concrete piles | 3.8 | 70 | Citations (PDF) |
| 26 | Machine Learning-Based Estimation of the Compressive Strength of Self-Compacting Concrete: A Multi-Dataset Study | 1.9 | 25 | Citations (PDF) |
| 27 | A Neural Network-Based Asphalt Pavement Crack Classification Model Using Image Processing and Random Boosted Differential Flower Pollination | 1.6 | 6 | Citations (PDF) |
| 28 | Compressive Strength Estimation of Rice Husk Ash-Blended Concrete Using Deep Neural Network Regression with an Asymmetric Loss Function | 1.5 | 16 | Citations (PDF) |
| 29 | Prediction of long-term deflections of reinforced-concrete members using a novel swarm optimized extreme gradient boosting machine | 3.9 | 25 | Citations (PDF) |
| 30 | Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms | 4.4 | 100 | Citations (PDF) |
| 31 | A new hybrid equilibrium optimized SysFor based geospatial data mining for tropical storm-induced flash flood susceptible mapping | 8.2 | 21 | Citations (PDF) |
| 32 | An approach based on socio-politically optimized neural computing network for predicting shallow landslide susceptibility at tropical areas | 2.5 | 1 | Citations (PDF) |
| 33 | Success-history based adaptive differential evolution method for optimizing fuel loading pattern of VVER-1000 reactor | 1.8 | 11 | Citations (PDF) |
| 34 | Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach | 2.4 | 46 | Citations (PDF) |
| 35 | The use of bioshields for coastal protection in Vietnam: Current status and potential | 1.0 | 32 | Citations (PDF) |
| 36 | Automatic recognition of concrete spall using image processing and metaheuristic optimized LogitBoost classification tree | 5.0 | 34 | Citations (PDF) |
| 37 | A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area | 8.3 | 329 | Citations (PDF) |
| 38 | A New Hybrid Firefly–PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping | 3.7 | 73 | Citations (PDF) |
| 39 | An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength | 3.9 | 34 | Citations (PDF) |
| 40 | Machine learning based soil erosion susceptibility prediction using social spider algorithm optimized multivariate adaptive regression spline | 4.8 | 41 | Citations (PDF) |
| 41 | Prediction of interface yield stress and plastic viscosity of fresh concrete using a hybrid machine learning approach | 9.3 | 63 | Citations (PDF) |
| 42 | Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area | 5.7 | 141 | Citations (PDF) |
| 43 | A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility | 2.2 | 84 | Citations (PDF) |
| 44 | Spatial prediction of shallow landslide using Bat algorithm optimized machine learning approach: A case study in Lang Son Province, Vietnam | 9.3 | 48 | Citations (PDF) |
| 45 | Estimating punching shear capacity of steel fibre reinforced concrete slabs using sequential piecewise multiple linear regression and artificial neural network | 4.8 | 82 | Citations (PDF) |
| 46 | Automatic detection of asphalt pavement raveling using image texture based feature extraction and stochastic gradient descent logistic regression | 10.6 | 87 | Citations (PDF) |
| 47 | A new intelligence approach based on GIS-based Multivariate Adaptive Regression Splines and metaheuristic optimization for predicting flash flood susceptible areas at high-frequency tropical typhoon area | 5.9 | 99 | Citations (PDF) |
| 48 | Image processing based automatic recognition of asphalt pavement patch using a metaheuristic optimized machine learning approach | 9.3 | 74 | Citations (PDF) |
| 49 | Spatial pattern analysis and prediction of forest fire using new machine learning approach of Multivariate Adaptive Regression Splines and Differential Flower Pollination optimization: A case study at Lao Cai province (Viet Nam) | 8.2 | 123 | Citations (PDF) |
| 50 | A New Approach of Hybrid Bee Colony Optimized Neural Computing to Estimate the Soil Compression Coefficient for a Housing Construction Project | 2.1 | 20 | Citations (PDF) |
| 51 | A hybrid computational intelligence approach for predicting soil shear strength for urban housing construction: a case study at Vinhomes Imperia project, Hai Phong city (Vietnam) | 3.9 | 55 | Citations (PDF) |
| 52 | Predicting ultimate bond strength of corroded reinforcement and surrounding concrete using a metaheuristic optimized least squares support vector regression model | 3.8 | 62 | Citations (PDF) |
| 53 | Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study | 3.9 | 14 | Citations (PDF) |
| 54 | Estimating landslide occurrence via small watershed method with relevance vector machine | 2.7 | 5 | Citations (PDF) |
| 55 | A success history-based adaptive differential evolution optimized support vector regression for estimating plastic viscosity of fresh concrete | 3.9 | 19 | Citations (PDF) |
| 56 | Spatial prediction of rainfall-induced shallow landslides using gene expression programming integrated with GIS: a case study in Vietnam | 3.1 | 34 | Citations (PDF) |
| 57 | A Probabilistic Safety Evaluation Framework for Multi-Hazard Assessment in a Bridge using SO-MARS Learning Model | 1.8 | 13 | Citations (PDF) |
| 58 | Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network | 9.3 | 148 | Citations (PDF) |
| 59 | A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides | 3.7 | 93 | Citations (PDF) |
| 60 | A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data | 3.0 | 130 | Citations (PDF) |
| 61 | GIS-based spatial prediction of tropical forest fire danger using a new hybrid machine learning method | 5.5 | 98 | Citations (PDF) |
| 62 | Spatial pattern assessment of tropical forest fire danger at Thuan Chau area (Vietnam) using GIS-based advanced machine learning algorithms: A comparative study | 5.5 | 135 | Citations (PDF) |
| 63 | Estimation of scour depth at bridges with complex pier foundations using support vector regression integrated with feature selection | 3.3 | 25 | Citations (PDF) |
| 64 | Image Processing–Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee Colony | 4.0 | 127 | Citations (PDF) |
| 65 | Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network | 10.6 | 345 | Citations (PDF) |
| 66 | Predicting algal appearance on mortar surface with ensembles of adaptive neuro fuzzy models: a comparative study of ensemble strategies | 2.1 | 12 | Citations (PDF) |
| 67 | A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway Project (Vietnam) | 3.9 | 71 | Citations (PDF) |
| 68 | Enhancing the accuracy of rainfall-induced landslide prediction along mountain roads with a GIS-based random forest classifier | 3.7 | 78 | Citations (PDF) |
| 69 | A novel method for asphalt pavement crack classification based on image processing and machine learning | 3.9 | 184 | Citations (PDF) |
| 70 | Estimation of algal colonization growth on mortar surface using a hybridization of machine learning and metaheuristic optimization | 1.0 | 21 | Citations (PDF) |
| 71 | Prediction of chloride diffusion in cement mortar using Multi-Gene Genetic Programming and Multivariate Adaptive Regression Splines | 4.8 | 92 | Citations (PDF) |
| 72 | A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS | 2.9 | 36 | Citations (PDF) |
| 73 | A Bayesian framework based on a Gaussian mixture model and radial-basis-function Fisher discriminant analysis (BayGmmKda V1.1) for spatial prediction of floods | 3.8 | 72 | Citations (PDF) |
| 74 | Estimating construction duration of diaphragm wall using firefly-tuned least squares support vector machine | 3.8 | 26 | Citations (PDF) |
| 75 | Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam | 4.5 | 135 | Citations (PDF) |
| 76 | Groutability estimation of grouting processes with cement grouts using Differential Flower Pollination Optimized Support Vector Machine | 6.0 | 74 | Citations (PDF) |
| 77 | Predicting Colonization Growth of Algae on Mortar Surface with Artificial Neural Network | 4.0 | 37 | Citations (PDF) |
| 78 | Slope Collapse Prediction Using Bayesian Framework with K-Nearest Neighbor Density Estimation: Case Study in Taiwan | 4.0 | 44 | Citations (PDF) |
| 79 | A Novel Relevance Vector Machine Classifier with Cuckoo Search Optimization for Spatial Prediction of Landslides | 4.0 | 54 | Citations (PDF) |
| 80 | Punching shear capacity estimation of FRP-reinforced concrete slabs using a hybrid machine learning approach | 3.2 | 111 | Citations (PDF) |
| 81 | Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis | 7.3 | 133 | Citations (PDF) |
| 82 | Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization | 6.0 | 243 | Citations (PDF) |
| 83 | A novel fuzzy K-nearest neighbor inference model with differential evolution for spatial prediction of rainfall-induced shallow landslides in a tropical hilly area using GIS | 6.0 | 130 | Citations (PDF) |
| 84 | Predicting earthquake-induced soil liquefaction based on a hybridization of kernel Fisher discriminant analysis and a least squares support vector machine: a multi-dataset study | 3.7 | 123 | Citations (PDF) |
| 85 | Typhoon-induced slope collapse assessment using a novel bee colony optimized support vector classifier | 3.1 | 42 | Citations (PDF) |
| 86 | A Swarm-Optimized Fuzzy Instance-based Learning approach for predicting slope collapses in mountain roads | 7.0 | 36 | Citations (PDF) |
| 87 | Evaluating Contractor Financial Status Using a Hybrid Fuzzy Instance Based Classifier: Case Study in the Construction Industry | 5.1 | 43 | Citations (PDF) |
| 88 | Groutability Estimation of Grouting Processes with Microfine Cements Using an Evolutionary Instance-Based Learning Approach | 4.0 | 23 | Citations (PDF) |
| 89 | Risk Score Inference for Bridge Maintenance Project Using Evolutionary Fuzzy Least Squares Support Vector Machine | 4.0 | 39 | Citations (PDF) |
| 90 | A novel hybrid intelligent approach for contractor default status prediction | 7.0 | 31 | Citations (PDF) |
| 91 | A novel groutability estimation model for ground improvement projects in sandy silt soil based on Bayesian framework | 6.6 | 15 | Citations (PDF) |
| 92 | Hybrid intelligence approach based on LS-SVM and Differential Evolution for construction cost index estimation: A Taiwan case study | 10.6 | 73 | Citations (PDF) |
| 93 | A novel time-depended evolutionary fuzzy SVM inference model for estimating construction project at completion | 7.5 | 43 | Citations (PDF) |
| 94 | Deep Learning-Based Predictive Modeling of Urban Heat Stress Using Transformer Network, Deep Neural Network, and Convolutional Neural Network | 1.3 | 1 | Citations (PDF) |
| 95 | Machine Learning Approaches for Geospatial Modeling of Urban Land Surface Temperature: Assessing Geographical Compactness, Interpretability, and Causal Inference | 3.0 | 8 | Citations (PDF) |
| 96 | Machine Learning Insight into the Cooling Intensity of Urban Blue-Green Spaces During Heatwaves | 2.9 | 4 | Citations (PDF) |
| 97 | Predicting the mechanical strength of geopolymer concrete by using ensemble learning with nature-inspired intelligence | 2.2 | 0 | Citations (PDF) |
| 98 | Machine Learning Framework for Evaluating the Cooling Performance of Wetlands in a Tropical Coastal City | 2.5 | 0 | Citations (PDF) |
| 99 | Machine Learning-Based Geospatial Modeling of Typhoon-Induced Urban Flood Susceptibility Using Gradient Boosting Machine, Deep Neural Network, and SHAP Interpretability | 1.3 | 0 | Citations (PDF) |
| 100 | Beyond the riverbank: deep learning and individual conditional expectation for geospatial assessment of urban river cooling | 0.0 | 0 | Citations (PDF) |
