On the public citation graph
Benefits of ensemble models in road pavement cracking classification
0 signed · 94 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
1 of the 58 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-28): 10.3390/ijgi8010039 (notice 2019-09-11).
Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119318613.ch15openalex-snapshot
The Impacts of Climate Change on Pavement Maintenance in Queensland, Australia
inferredcites →https://doi.org/10.1002/tal.1400openalex-snapshot
A novel machine learning‐based algorithm to detect damage in high‐rise building structures
inferredcites →https://doi.org/10.1007/11596448_109openalex-snapshot
An Improved kNN Algorithm – Fuzzy kNN
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/s00366-018-0611-9openalex-snapshot
A novel method for asphalt pavement crack classification based on image processing and machine learning
inferredcites →https://doi.org/10.1007/s00366-019-00753-wopenalex-snapshot
Combining machine learning models via adaptive ensemble weighting for prediction of shear capacity of reinforced-concrete deep beams
inferredcites →https://doi.org/10.1007/s10462-011-9272-4openalex-snapshot
Decision trees: a recent overview
inferredcites →https://doi.org/10.1016/b978-0-08-051581-6.50024-6openalex-snapshot
A Computational Approach to Edge Detection
inferredcites →https://doi.org/10.1016/b978-0-12-386908-1.00007-0openalex-snapshot
Mathematical Morphology
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50023-2openalex-snapshot
Fast Effective Rule Induction
inferredcites →https://doi.org/10.1016/j.eng.2018.11.030openalex-snapshot
Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring
inferredcites →https://doi.org/10.1016/j.engstruct.2017.10.070openalex-snapshot
A novel unsupervised deep learning model for global and local health condition assessment of structures
inferredcites →https://doi.org/10.1016/j.ijprt.2016.08.004openalex-snapshot
Evaluation of pavement life cycle cost analysis: Review and analysis
inferredcites →https://doi.org/10.1016/j.inffus.2004.04.004openalex-snapshot
Diversity creation methods: a survey and categorisation
inferredcites →https://doi.org/10.1016/j.proeng.2014.07.072openalex-snapshot
Climate Change and Infrastructure Impacts: Comparing the Impact on Roads in ten Countries through 2100
inferredcites →https://doi.org/10.1016/j.sbspro.2012.09.943openalex-snapshot
Impact of Pavement Defects on Motorcycles’ Road Safety
inferredcites →https://doi.org/10.1038/s41598-018-25572-9openalex-snapshot
Active solution of homography for pavement crack recovery with four laser lines
inferredcites →https://doi.org/10.1061/(asce)0733-947x(2009)135:10(773)openalex-snapshot
Climate Change Implications for Flexible Pavement Design and Performance in Southern Canada
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0001570openalex-snapshot
Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000623openalex-snapshot
Automated Detection of Multiple Pavement Defects
inferredcites →https://doi.org/10.1061/(asce)te.1943-5436.0000785openalex-snapshot
Effects of Pavement Surface Conditions on Traffic Crash Severity
inferredcites →https://doi.org/10.1080/10298436.2018.1485917openalex-snapshot
Automatic classification of pavement crack using deep convolutional neural network
inferredcites →https://doi.org/10.1080/23270012.2015.1090889openalex-snapshot
A dynamic rule-induction method for classification in data mining
inferredcites →https://doi.org/10.1109/83.370681openalex-snapshot
The study of logarithmic image processing model and its application to image enhancement
inferredcites →https://doi.org/10.1109/access.2018.2829347openalex-snapshot
Automatic Pixel-Level Pavement Crack Detection Using Information of Multi-Scale Neighborhoods
inferredcites →https://doi.org/10.1109/access.2018.2872777openalex-snapshot
JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016
inferredcites →https://doi.org/10.1109/iccv.1998.710815openalex-snapshot
Bilateral filtering for gray and color images
inferredcites →https://doi.org/10.1109/tencon.2018.8650059openalex-snapshot
Pixel-level Crack Detection using U-Net
inferredcites →https://doi.org/10.1109/tip.2018.2846686openalex-snapshot
Luminance Enhancement and Detail Preservation of Images and Videos Adapted to Ambient Illumination
inferredcites →https://doi.org/10.1109/tsmca.2012.2224338openalex-snapshot
Concept Drift-Oriented Adaptive and Dynamic Support Vector Machine Ensemble With Time Window in Corporate Financial Risk Prediction
inferredcites →https://doi.org/10.1111/exsy.12205openalex-snapshot
Recent advances in control algorithms for smart structures and machines
inferredcites →https://doi.org/10.1111/j.2517-6161.1976.tb01573.xopenalex-snapshot
Cross-Validatory Choice and Assessment of Statistical Predictions (With Discussion)
inferredcites →https://doi.org/10.1111/mice.12263openalex-snapshot
Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1111/mice.12428openalex-snapshot
Foreground–background separation technique for crack detection
inferredcites →https://doi.org/10.1145/219717.219768openalex-snapshot
Applications of machine learning and rule induction
inferredcites →https://doi.org/10.1145/3054925openalex-snapshot
A Survey on Ensemble Learning for Data Stream Classification
inferredcites →https://doi.org/10.11591/ijeecs.v14.i2.pp810-818openalex-snapshot
Characterization of cracking in pavement distress using image processing techniques and k-Nearest neighbour
inferredcites →https://doi.org/10.1177/1475921718768747openalex-snapshot
Crack and Noncrack Classification from Concrete Surface Images Using Machine Learning
inferredcites →https://doi.org/10.1186/s13640-017-0187-0openalex-snapshot
Efficient pavement crack detection and classification
inferredcites →https://doi.org/10.1201/9780429457791-2openalex-snapshot
Building durable and sustainable pavements
inferredcites →https://doi.org/10.14359/51689560openalex-snapshot
Supervised Deep Restricted Boltzmann Machine for Estimation of Concrete
inferredcites →https://doi.org/10.1504/ijapr.2016.076980openalex-snapshot
Edge detection for pattern recognition: a survey
inferredcites →https://doi.org/10.1613/jair.279openalex-snapshot
Improved Use of Continuous Attributes in C4.5
inferredcites →https://doi.org/10.21275/v5i4.nov162954openalex-snapshot
A Survey on Decision Tree Algorithms of Classification in Data Mining
inferredcites →https://doi.org/10.22260/isarc2018/0103openalex-snapshot
A Deep Residual Network with Transfer Learning for Pixel-level Road Crack Detection
inferredcites →https://doi.org/10.3141/2457-13openalex-snapshot
Surface Drainage Evaluation for Rigid Pavements Using an Inertial Measurement Unit and 1-mm Three-Dimensional Texture Data
inferredcites →https://doi.org/10.31988/scitrends.2106openalex-snapshot
Welcome To Your Autonomous Life: Self Driving Cars Are A New Reality
inferredcites →https://doi.org/10.3390/app9030614openalex-snapshot
Effective Crack Damage Detection Using Multilayer Sparse Feature Representation and Incremental Extreme Learning Machine
inferredcites →https://doi.org/10.3390/ijgi8010039openalex-snapshot
RETRACTED: Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud Data and Random Forest Classification
inferredcites →https://doi.org/10.3390/infrastructures3040058openalex-snapshot
Pavement Distress Detection Methods: A Review
inferredcites →https://doi.org/10.3724/sp.j.1087.2008.01221openalex-snapshot
Adaptive image enhancement algorithm based on Bandelet transform
inferredcites →https://doi.org/10.3846/transport.2018.1559openalex-snapshot
AUTOMATED SHAPE-BASED PAVEMENT CRACK DETECTION APPROACH
inferredcites →https://doi.org/10.7307/ptt.v26i1.1477openalex-snapshot
Automatic Pavement Crack Recognition Based on BP Neural Network
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4654485openalex-extracted
Deep Neural Networks with Outdoor Bridge Image Datasets for Concrete Crack Detection and Quantification
inferred← citeshttps://doi.org/10.1002/9781119800675.ch5openalex-snapshot
Automatic Detection and Its Applications in Infrastructure
inferred← citeshttps://doi.org/10.1007/s12205-022-0518-2openalex-snapshot
Crack Detection Based on Generative Adversarial Networks and Deep Learning
inferred← citeshttps://doi.org/10.1007/s40515-024-00434-2openalex-snapshot
An Intelligent Approach to Predict the Squeezing Severity and Tunnel Deformation in Squeezing Grounds
inferred← citeshttps://doi.org/10.1007/s41062-024-01733-wopenalex-snapshot
Survey of automated crack detection methods for asphalt and concrete structures
inferred← citeshttps://doi.org/10.1007/s42947-025-00574-9openalex-snapshot
An Improved Crack Detection Method on Asphalt Pavement via Integrating Adaptive Denoising Filters into Semantic Segmentation Network
inferred← citeshttps://doi.org/10.1007/s42947-026-00866-8openalex-snapshot
Stacked Ensemble Learning with SHAP-Prioritized Intervention Ranking for Pavement Maintenance Automation
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104664openalex-snapshot
Recent computer vision applications for pavement distress and condition assessment
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105367openalex-snapshot
An average pooling designed Transformer for robust crack segmentation
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106389openalex-snapshot
Vision-enhanced multi-modal learning framework for non-destructive pavement damage detection
inferred← citeshttps://doi.org/10.1016/j.cacaie.2026.100031openalex-snapshot
A lightweight road crack detection model based on multilevel thresholding image segmentation
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2026.110993openalex-snapshot
AI-driven road inspection with SUD-ROAD: High-resolution LiDAR benchmark and a novel cross-dimensional semantic segmentation pipeline
inferred← citeshttps://doi.org/10.1016/j.engappai.2022.105478openalex-snapshot
Computer vision framework for crack detection of civil infrastructure—A review
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108479openalex-snapshot
Autonomous surface crack identification for concrete structures based on the you only look once version 5 algorithm
inferred← citeshttps://doi.org/10.1016/j.istruc.2025.110611openalex-snapshot
Pixel-level bridge crack detection and 3D localization: An improved hybrid approach combining segmentation and 3D reconstruction
inferred← citeshttps://doi.org/10.1061/jpeodx.0000373openalex-snapshot
Review of Applications of Artificial Intelligence Algorithms in Pavement Management
inferred← citeshttps://doi.org/10.1080/10298436.2026.2666860openalex-snapshot
An accurate pavement crack classification using deep feature generation and iterative feature selection techniques
inferred← citeshttps://doi.org/10.1109/access.2024.3368376openalex-snapshot
On Enhancing Crack Semantic Segmentation Using StyleGAN and Brownian Bridge Diffusion
inferred← citeshttps://doi.org/10.1109/icsp58490.2023.10248599openalex-snapshot
Lightweight computer vision based asphalt pavement crack visualization detection
inferred← citeshttps://doi.org/10.1109/idap64064.2024.10711097openalex-snapshot
Crack Detection with Conditional Diffusion Model
inferred← citeshttps://doi.org/10.1109/smartcomp-companion70724.2026.00088openalex-snapshot
From Benchmark Images to Georeferenced Street Inspection: Lessons from an Operational Road Distress Detection Pipeline
inferred← citeshttps://doi.org/10.1111/mice.12640openalex-snapshot
Convolutional neural network for automated classification of jointed plain concrete pavement conditions
inferred← citeshttps://doi.org/10.1111/mice.12674openalex-snapshot
Cross‐scene pavement distress detection by a novel transfer learning framework
inferred← citeshttps://doi.org/10.1111/mice.12689openalex-snapshot
Nonplanar sensing skins for structural health monitoring based on electrical resistance tomography
inferred← citeshttps://doi.org/10.1111/mice.12789openalex-snapshot
Measuring aggregate morphologies based on three‐dimensional curvature analysis
inferred← citeshttps://doi.org/10.1111/mice.12874openalex-snapshot
Detecting cracks in concrete structures with the baseline model of the visual characteristics of images
inferred← citeshttps://doi.org/10.1111/mice.13014openalex-snapshot
Efficient data dimensionality reduction method for improving road crack classification algorithms
inferred← citeshttps://doi.org/10.1111/mice.13489openalex-snapshot
Predicting pavement cracking performance using laser scanning and geocomplexity‐enhanced machine learning
inferred← citeshttps://doi.org/10.1139/cjce-2022-0137openalex-snapshot
Feature representation improved Faster R-CNN model for high-efficiency pavement crack detection
inferred← citeshttps://doi.org/10.1177/0361198120986171openalex-snapshot
Performance of Machine Learning Algorithms in Predicting the Pavement International Roughness Index
inferred← citeshttps://doi.org/10.1177/03611981231223193openalex-snapshot
Automatic Classification of Pavement Type and Service Age Benchmarked with Standard Texture Databases Using the Machine Learning Method: A Pilot Study
inferred← citeshttps://doi.org/10.17485/ijst/v14i10.1245openalex-snapshot
Road crack detection using convolutional neural network
inferred← citeshttps://doi.org/10.2166/hydro.2022.132openalex-snapshot
Comparison of classic object-detection techniques for automated sewer defect detection
inferred← citeshttps://doi.org/10.2166/wst.2024.025openalex-snapshot
Approximation in scour depth around spur dikes using novel hybrid ensemble data-driven model
inferred← citeshttps://doi.org/10.3390/s24206757openalex-snapshot
Research on Road Internal Disease Identification Algorithm Based on Attention Fusion Mechanisms
inferred← citeshttps://doi.org/10.55057/ijbtm.2024.6.1.52openalex-snapshot
Review of Pavement Crack Types and Their Significance
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.