International Journal of Pavement Engineering

Papers
(The H4-Index of International Journal of Pavement Engineering is 22. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Experimental study of the performance of porous ultra-thin asphalt overlay125
Predicting resilient modulus of flexible pavement foundation using extreme gradient boosting based optimised models64
Pavement crack detection and classification based on fusion feature of LBP and PCA with SVM61
Characterisation of rejuvenation of various modified asphalt binders based on simplified chromatographic techniques55
An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil51
An ensemble learning model for asphalt pavement performance prediction based on gradient boosting decision tree45
Monte Carlo simulations of deformation behaviour of unbound granular materials based on a real aggregate library44
A novel pavement transverse cracks detection model using WT-CNN and STFT-CNN for smartphone data analysis41
A multi-objective optimization based on genetic algorithms for the sustainable design of Warm Mix Asphalt (WMA)36
Numerical investigation on fracture evolution of asphalt mixture compared with acoustic emission32
Application of a hybrid neural network structure for FWD backcalculation based on LTPP database32
Laboratory evaluation of the performance of reclaimed asphalt mixed with composite crumb rubber-modified asphalt: reconciling relatively high content of RAP and virgin asphalt29
Development of pavement roughness models using Artificial Neural Network (ANN)29
Sustainable pavement maintenance and rehabilitation planning using differential evolutionary programming and coyote optimisation algorithm29
Modelling of pavement performance evolution considering uncertainty and interpretability: a machine learning based framework28
Towards the potential usage of eggshell powder as bio-modifier for asphalt binder and mixture: workability and mechanical properties26
Effects of crystalline wax and asphaltene on thermoreversible aging of asphalt binder26
Effect of raw material composition on the working performance of waterborne epoxy resin for road26
Performance properties of high modulus asphalt concrete containing high reclaimed asphalt content and polymer modified binder24
The use of deep neural networks for developing generic pavement rutting predictive models23
Composition optimisation and performance evaluation of waterborne epoxy resin emulsified asphalt tack coat binder for pavement23
An integrated machine learning model for automatic road crack detection and classification in urban areas23
Comparative study of fly ash and rice husk ash as cement replacement in pervious concrete: mechanical characteristics and sustainability analysis22
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