Ashiru Sani

ORCID, self-asserted

ORCID 0000-0002-4525-072X

Publications

Citations

h-index

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

Publications

7 works in the graph, newest first.

An Overview of Machine Learning Approaches for Predicting Marshall Parameters in Modified Asphalt Mixtures (MAM)
2026International Journal of Research and Innovation in Applied ScienceJournalOpen access0 citations10.51584/ijrias.2026.11010066
Cup lump rubber and natural rubber latex biopolymers as promising modifiers for asphalt binders and mixtures: A review
2025Journal of Road EngineeringJournalOpen accessFirst author6 citations10.1016/j.jreng.2025.06.003
Gendered Travel Mode Choice in Kuantan City: Optimisation on Neural Network Model
2025International Journal of Integrated EngineeringJournalOpen accessSenior author0 citations10.30880/ijie.2025.17.07.028
Rheological and physicochemical characteristics of asphalt mastics incorporating lime kiln dust and dolomite powder as sustainable fillers
2023Journal of Road EngineeringJournalOpen accessSenior author22 citations10.1016/j.jreng.2023.01.001
Analytical study of silane-based and wax-based additives on the interfacial bonding characteristics between natural rubber modified binder and different aggregate types
2023Journal of Road EngineeringJournalOpen accessFirst author13 citations10.1016/j.jreng.2023.02.001
Effects of diluted methanol and water as foaming agents on the performance of latex foamed warm asphalt mixtures
2023Journal of Traffic and Transportation Engineering (English Edition)JournalOpen access6 citations10.1016/j.jtte.2021.07.007
Comparing Machine Learning Models with Witczak NCHRP 1-40D Model for Hot-Mix Asphalt Dynamic Modulus Prediction
2022Arabian Journal for Science and EngineeringJournal11 citations10.1007/s13369-022-06935-x