On the public citation graph
Estimation of Depth in Concrete Using Smartphone-Equipped Handheld Gpr and Hyperbolic Curve Fitting
0 signed · 35 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.
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known work and none has been retracted — and get a dated CiteStamped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/10.1016/b978-0-444-53348-7.x0001-4openalex-extracted
Ground Penetrating Radar Theory and Applications
inferredcites →https://doi.org/10.1016/j.autcon.2020.103186openalex-extracted
Semi-automatic detection of buried rebar in GPR data using a genetic algorithm
inferredcites →https://doi.org/10.1016/j.autcon.2020.103279openalex-extracted
Detection and localization of rebar in concrete by deep learning using ground penetrating radar
inferredcites →https://doi.org/10.1016/j.autcon.2021.103652openalex-extracted
Full-resolution 3D imaging for concrete structures with dual-polarization GPR
inferredcites →https://doi.org/10.1016/j.conbuildmat.2015.12.156openalex-extracted
Ground penetrating radar wave attenuation models for estimation of moisture and chloride content in concrete slab
inferredcites →https://doi.org/10.1016/j.conbuildmat.2017.02.126openalex-extracted
A new method to determine locations of rebars and estimate cover thickness of RC structures using GPR data
inferredcites →https://doi.org/10.1016/j.conbuildmat.2017.06.132openalex-extracted
Time-frequency analysis of air-coupled GPR data for identification of delamination between pavement layers
inferredcites →https://doi.org/10.1016/j.conbuildmat.2020.121837openalex-extracted
Factors affecting the detectability of concrete delamination in GPR images
inferredcites →https://doi.org/10.1016/j.cscm.2019.e00240openalex-extracted
Applicability of GPR and a rebar detector to obtain rebar information of existing concrete structures
inferredcites →https://doi.org/10.1016/j.csndt.2015.03.002openalex-extracted
Evaluating asphalt concrete air void variation via GPR antenna array data
inferredcites →https://doi.org/10.1016/j.jappgeo.2013.04.009openalex-extracted
Applications of ground penetrating radar (GPR) in bridge deck monitoring and assessment
inferredcites →https://doi.org/10.1016/j.measurement.2020.107839openalex-extracted
Identifying concrete structure defects in GPR image
inferredcites →https://doi.org/10.1016/j.ndteint.2006.09.001openalex-extracted
Accuracy of pavement thicknesses estimation using different ground penetrating radar analysis approaches
inferredcites →https://doi.org/10.1016/j.ndteint.2015.11.005openalex-extracted
Development of an analytic approach utilizing the extended common midpoint method to estimate asphalt pavement thickness with 3-D ground-penetrating radar
inferredcites →https://doi.org/10.1016/j.sigpro.2016.05.016openalex-extracted
An overview of ground-penetrating radar signal processing techniques for road inspections
inferredcites →https://doi.org/10.1016/j.sigpro.2016.06.015openalex-extracted
Development of regularization methods on simulated ground-penetrating radar signals to predict thin asphalt overlay thickness
inferredcites →https://doi.org/10.1016/j.sigpro.2016.06.030openalex-extracted
A signal processing methodology for assessing the performance of ASTM standard test methods for GPR systems
inferredcites →https://doi.org/10.1016/j.tust.2020.103487openalex-extracted
Deterioration mapping in subway infrastructure using sensory data of GPR
inferredcites →https://doi.org/10.1016/s0926-9851(99)00052-xopenalex-extracted
Road evaluation with ground penetrating radar
inferredcites →https://doi.org/10.1016/s0926-9851(99)00055-5openalex-extracted
Automatic detection of buried utilities and solid objects with GPR using neural networks and pattern recognition
inferredcites →https://doi.org/10.1016/s0950-0618(02)00015-6openalex-extracted
Concrete bridge inspection with a mobile GPR system
inferredcites →https://doi.org/10.1016/s0950-0618(03)00093-xopenalex-extracted
Sub-surface radar testing of concrete: a review
inferredcites →https://doi.org/10.1061/(asce)cf.1943-5509.0001502openalex-extracted
Integrated Approach to Simultaneously Determine 3D Location and Size of Rebar in GPR Data
inferredcites →https://doi.org/10.1080/10589759.2012.694883openalex-extracted
Novel perspectives in bridges inspection using GPR
inferredcites →https://doi.org/10.1080/14680629.2004.9689964openalex-extracted
Reliability of Radar Inspection for Detection of Pavement Damage
inferredcites →https://doi.org/10.1109/cama47423.2019.8959534openalex-extracted
Concrete Thickness Measurement Model for GPR
inferredcites →https://doi.org/10.1109/tcyb.2015.2474747openalex-extracted
Automated GPR Rebar Analysis for Robotic Bridge Deck Evaluation
inferredcites →https://doi.org/10.1109/tgrs.2018.2866991openalex-extracted
Sensitive Damage Detection of Reinforced Concrete Bridge Slab by “Time-Variant Deconvolution” of SHF-Band Radar Signal
inferredcites →https://doi.org/10.1109/tpami.1986.4767851openalex-extracted
A Computational Approach to Edge Detection
inferredcites →https://doi.org/10.1186/s40069-018-0239-6openalex-extracted
Seasonal Variation and Age-related Changes in the Relative Permittivity of Concrete Bridge Decks on Korea Expressways
inferredcites →https://doi.org/10.1186/s40703-016-0017-8openalex-extracted
Subsurface void detection under the road surface using ground penetrating radar (GPR), a case study in the Bangkok metropolitan area, Thailand
inferredcites →https://doi.org/10.2113/jeeg22.2.121openalex-extracted
Concrete Bridge Deck Deterioration Assessment Using Ground Penetrating Radar (GPR)
inferredcites →https://doi.org/10.3390/rs14174293openalex-extracted
Deep-Learning-Based Method for Estimating Permittivity of Ground-Penetrating Radar Targets
inferredcites →https://doi.org/10.3997/1873-0604.2014042openalex-extracted
Effect of the height of the observation line on the the diffraction curve in GPR prospecting
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.