“Publications” updated.
Chumkhiao, R., Yindeesuk, S., Chao, K.C. and Inazumi, S.
Using 2D electrical resistivity imaging and borehole data to estimate N60-value of soils with k-means clustering for subsurface geomaterials categorization,
Journal of Rock Mechanics and Geotechnical Engineering, IF2024=10.2, Elsevier, Vol. 18, Issue 4, DOI: 10.1016/j.jrmge.2025.05.030, 2026-4.
First published on 2025-9
Cong, Y., Katsuumi, A. and Inazumi, S.
3D geological and liquefaction hazard mapping for Tokyo at 200-m grid scale using artificial neural networks,
Results in Engineering, IF2024=7.9, Elsevier, Vol. 28, 107262, DOI: 10.1016/j.rineng.2025.107262, 2025-12.
First published on 2025-9
Chumkhiao, R., Yindeesuk, S., Chao, K.C. and Inazumi, S.
Integrated geotechnical and electrical resistivity approaches for investigating rainfall-induced slope failure in a mountainous highway embankment,
Transportation Geotechnics, IF2024=5.5, Elsevier, Vol. 55, 101728, DOI: 10.1016/j.trgeo.2025.101728, 2025-11.
First published on 2025-9
Morota, A., Morishita, T., Miura, T. and Inazumi, S.
Numerical and experimental investigation of mortar placement dynamics in drilling slurry for cast-in-place concrete piles,
International Journal for Numerical and Analytical Methods in Geomechanics, IF2024=3.6, Wiley, Vol. 49, Issue 15, DOI: 10.1002/nag.70032, 2025-11.
First published on 2025-8
Sangprasat, K., Puttiwongrak, A. and Inazumi, S.
Predicting soil electrical resistivity using geotechnical properties and artificial neural networks,
Civil Engineering Journal, IF2024=4.9, Salehan Institute of Higher Education, Vol. 11, Issue 10, DOI: , 2025-10.
Accepted for publication on 2025-8
