Jalal Shiri

University of Tabriz — IR

Environmental Science · Physical Sciences

52h-index7.0kcitations150works1.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Hydrological Forecasting Using AI(75), Hydrology and Watershed Management Studies(51), Plant Water Relations and Carbon Dynamics(38), Irrigation Practices and Water Management(23), Neural Networks and Applications(21)

Publications150 total

Improving the Prediction of Suspended Sediment Loads Through a Hybrid Red Fox–XGBoost Model for Diverse Flow Regimes in Illinois State
Water·2026Open Access
Enhancing dissolved oxygen prediction through a hybrid attention-based LSTM model with wavelet transform and auto-encoder
Journal of Water Process Engineering·2026
Deep learning fusion modeling of reference evapotranspiration with multi-source remote sensing data through addressing noise impacts
Smart Agricultural Technology·2026Open Access
Interpretable Temperature‐Based Deep Learning for Evapotranspiration: <scp>SHAP</scp> ‐Based Feature Analysis in <scp>CNN</scp> ‐ <scp>GPU</scp>
Meteorological Applications·2026Open Access
Domain selection in transfer learning for reference evapotranspiration estimation
Knowledge-Based Systems·2025
Simulation of seasonal water turbidity dynamics in river systems: a machine learning framework for extreme event resilience
ISH Journal of Hydraulic Engineering·2025
Microbial eco‐physiological responses to long‐term crude oil contamination in arid soils: Field evidence and <scp>AI</scp> ‐based prediction of qmic and <scp> qCO <sub>2</sub> </scp>
Annals of Applied Biology·2025
Evaluating climate change impacts on reference evapotranspiration using CMIP6 projections and machine learning in the Aras River Basin
Modeling Earth Systems and Environment·2025
Towards seasonal-based assessment of machine learning models in river dissolved oxygen simulations with different flow ranges
ISH Journal of Hydraulic Engineering·2025· 1 cited
Chronological assessment of heuristic data driven approaches for soil water content simulation in subsurface drip irrigated rice
The Science of The Total Environment·2024· 1 cited
Comparison of novel physics-guided machine learning models with empirical equations for predicting longitudinal dispersion coefficient in diverse natural river systems
Journal of Water Process Engineering·2024· 2 cited
Analysis of factors affecting evapotranspiration zoning
Environmental Science and Pollution Research·2024· 6 cited
Selection of best wavelet functions and decomposition levels for coupling with soft computing methods in estimating <i> ET <sub>o</sub> </i> in coastal and island regions
ISH Journal of Hydraulic Engineering·2024· 3 cited
Estimation reference crop evapotranspiration (ET0) using artificial intelligence model in an arid climate with external data
Applied Water Science·2023· 19 citedOpen Access
Effects of natural and prolonged crude oil pollution on soil enzyme activities
Geoderma Regional·2023· 11 cited
How is microbial biomass carbon affected by oil-pollution in soils? An alternative approach to its measure
Research Square (Research Square)·2023Open Access
A New Insight for Daily Solar Radiation Prediction by Meteorological Data Using an Advanced Artificial Intelligence Algorithm: Deep Extreme Learning Machine Integrated with Variational Mode Decomposition Technique
Sustainability·2023· 25 citedOpen Access
Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network coupled with wavelet transform
Engineering Applications of Artificial Intelligence·2023· 96 cited
Analysis of local head losses in microirrigation lateral connectors based on machine learning approaches
Irrigation Science·2023· 6 citedOpen Access
Machine Learning Approaches for Prediction of Daily River Flow
World Journal of Environmental Biosciences·2023· 4 citedOpen Access
page 1 of 8Next →

Frequent Co-authors

Özgür Kişi(32), Gorka Landeras(10), Pau Martí(9), Amir Hossein Nazemi(7), Ahmad Fakheri Fard(7), Sungwon Kim(7), Ali Ashraf Sadraddini(5), Sepideh Karimi(5), Vijay P. Singh(3), Kiyoumars Roushangar(3), José Javier López Rodríguez(2), Mohammad Ali Ghorbani(2), Oleg Makarynskyy(2), Saman Maroufpoor(2), Eisa Maroufpoor(2), Omid Bozorg‐Haddad(2), Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬(2), Shahaboddin Shamshirband(2), Vahid Nourani(2), Mohammad Zounemat‐Kermani(2)