OOIR: Observatory of International Research

Papers

(The H4-Index of Transportation Geotechnics is 35. 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 2020-09-01 to 2024-09-01.)

Article	Citations
Review on biopolymer-based soil treatment (BPST) technology in geotechnical engineering practices	184
Predicting the compaction characteristics of expansive soils using two genetic programming-based algorithms	112
Using artificial neural network and genetics algorithm to estimate the resilient modulus for stabilized subgrade and propose new empirical formula	83
Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks	81
A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling	80
Tensile strength prediction of rock material using non-destructive tests: A comparative intelligent study	78
Strength and durability assessment of expansive soil stabilized with recycled ash and natural fibers	74
Introducing stacking machine learning approaches for the prediction of rock deformation	73
Artificial intelligence forecasting models of uniaxial compressive strength	69
Shear strength and life cycle assessment of volcanic ash-based geopolymer and cement stabilized soil: A comparative study	68
An efficient optimal neural network based on gravitational search algorithm in predicting the deformation of geogrid-reinforced soil structures	60
Use of secondary additives in fly ash based soil stabilization for soft subgrades	55
Numerical study on stability of lignosulphonate-based stabilized surficial layer of unsaturated expansive soil slope considering hydro-mechanical effect	51
Compaction quality evaluation of subgrade based on soil characteristics assessment using machine learning	50
Developing hybrid ELM-ALO, ELM-LSO and ELM-SOA models for predicting advance rate of TBM	48
Geotechnical characterization of plastic waste materials in pavement subgrade applications	47
Prediction of the resilient modulus of compacted subgrade soils using ensemble machine learning methods	45
Review of current and future bio-based stabilisation products (enzymatic and polymeric) for road construction materials	45
Application of recycled tire polymer fibers and glass fibers for clay reinforcement	44
Pipeline burst-related ground stability in blowout condition	44
Experimental and ANN analysis of temperature effects on the permanent deformation properties of demolition wastes	41
The influence of pipe-jacking tunneling on deformation of existing tunnels in soft soils and the effectiveness of protection measures	40
Large-scale direct shear testing of waste crushed rock reinforced with waste rubber as pavement base/subbase materials	40
Improved methods to prevent railway embankment failure and subgrade degradation: A review	39
Improving engineering characteristics of expansive soils using industry waste as a sustainable application for reuse of bagasse ash	38

Examining the relationship between two road performance indicators: Pavement condition index and international roughness index	37
Stability prediction of a natural and man-made slope using various machine learning algorithms	37
Experimental and numerical studies on failure behaviours of sandstones subject to freeze-thaw cycles	37
Characterizing hydro-mechanical behaviours of compacted subgrade soils considering effects of freeze-thaw cycles	37
Evaluation of geogrid reinforcement of flexible pavement performance: A review of large-scale laboratory studies	36
Estimating unconfined compressive strength of unsaturated cemented soils using alternative evolutionary approaches	36
Probabilistic slope stability analysis of Heavy-haul freight corridor using a hybrid machine learning paradigm	36
Stabilization of gold mining tailings with alkali-activated carbide lime and sugarcane bagasse ash	35
Mechanical and Environmental Performance of Eggshell Lime for Expansive Soils Improvement	35
COSMA-RF: New intelligent model based on chaos optimized slime mould algorithm and random forest for estimating the peak cutting force of conical picks	35