Seied Hosein Afzali

Shiraz University

H-index: 16

Asia-Iran

About Seied Hosein Afzali

Seied Hosein Afzali, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at Shiraz University, specializes in the field of Civil Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Drought analysis using innovative trend analysis and machine learning models for Eastern Black Sea Basin

New data-driven equation for estimating total sediment loads in rivers: application of the MHBMO algorithm

Assessment of XGBoost to estimate total sediment loads in rivers

Assessment of data-driven models for estimating total sediment discharge

Application of machine learning models to bridge afflux estimation

Effects of Nano Silica and Salicylic Acid on Yield and Yield Components in Corn (Zea mays L.)-Mungbean (Vigna radiata L.) Monocropping and Intercropping under Drought Stress …

Development and evaluation of a novel feed spacer for forward osmosis membrane

A solution for unconfined groundwater flow: An innovative approach based on the lattice Boltzmann method

Seied Hosein Afzali Information

University	Shiraz University
Position	Associate Professor of Civil Engineering
Citations(all)	725
Citations(since 2020)	562
Cited By	435
hIndex(all)	16
hIndex(since 2020)	15
i10Index(all)	23
i10Index(since 2020)	19
Email	Access Email
University Profile Page	Shiraz University
Google Scholar	View Google Scholar Profile