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Arefeh Naghizadeh

Observed name: A. Naghizadeh
ORCID: 0009-0007-4552-5328
Observed ORCID: 0009-0007-4552-5328
OpenAlex ID: A5049174275
Predicting viscosity of CO2–N2 gaseous mixtures using advanced intelligent schemes
2021 · Arefeh Naghizadeh, Aydin Larestani, et al. · Journal of Petroleum Science and Engineering · 64
Modeling thermo-physical properties of hydrogen utilizing machine learning schemes: Viscosity, density, diffusivity, and thermal conductivity
2024 · Qichao Lv, Zhaomin Li, et al. · International Journal of Hydrogen Energy · 32
Wettability alteration of calcite and dolomite carbonates using silica nanoparticles coated with fluorine groups
2020 · Arefeh Naghizadeh, Reza Azin, et al. · Journal of Petroleum Science and Engineering · 30
Application of fluorinated nanofluid for production enhancement of a carbonate gas-condensate reservoir through wettability alteration
2018 · Zahra Sakhaei, Reza Azin, et al. · Materials Research Express · 23
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Modeling thermal conductivity of hydrogen-based binary gaseous mixtures using generalized regression neural network
2024 · Arefeh Naghizadeh, Behnam Amiri-Ramsheh, et al. · International Journal of Hydrogen Energy · 22
Multi-objective optimization of water-alternating flue gas process using machine learning and nature-inspired algorithms in a real geological field
2024 · Arefeh Naghizadeh, Saeed Jafari, et al. · Energy · 20
Exploring advanced artificial intelligence techniques for efficient hydrogen storage in metal organic frameworks
2025 · Arefeh Naghizadeh, Fahimeh Hadavimoghaddam, et al. · Adsorption · 14
White-box methodologies for achieving robust correlations in hydrogen storage with metal-organic frameworks
2025 · Arefeh Naghizadeh, Fahimeh Hadavimoghaddam, et al. · Scientific Reports · 12
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Carbon dioxide huff-n-puff
2022 · Maryam Hasanzadeh, Amin Izadpanahi, et al. · Elsevier eBooks · 8
Modeling the thermophysical properties of alumina nanoparticles enhanced ionic liquids (NEILs) using advanced intelligent techniques
2025 · Sara Sahebalzamani, Arefeh Naghizadeh, et al. · International Journal of Hydrogen Energy · 6
Toward accurate prediction of N2 uptake capacity in metal-organic frameworks
2025 · Arefeh Naghizadeh, Ahmadreza Jafari-Sirizi, et al. · Scientific Reports · 3
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Formation damage in thermal-enhanced oil recovery processes
2023 · Arefeh Naghizadeh, Mitra Abbaspour · Elsevier eBooks · 2
Interpretable machine learning for predicting fluorinated gas solubility in ionic liquids
2026 · Amir Hossein Sheikhshoaei, Ahmadreza Salehi, et al. · Results in Engineering
Machine Learning and Deep Learning Framework for Accurate Prediction of CH4 Solubility in Brine Systems Using Physicochemical Descriptors
2026 · Amir Hossein Sheikhshoaei, Abdolhossein Hemmati-Sarapardeh, et al. · Energy & Fuels
Dataset comprising 608 samples of the specific heat capacity at constant pressure (Cp) of carbon dioxide
2026 · Sadegh Ataee, Arefeh Naghizadeh, et al. · Zenodo (CERN European Organization for Nuclear Research)
Robust optimization of flue gas-WAG injection using data-driven proxy models in egg oil reservoir
2026 · Arefeh Naghizadeh, Saeed Jafari, et al. · Journal of Petroleum Exploration and Production Technology
Interpretable white-box modeling for nitrogen storage in metal–organic frameworks
2026 · Arefeh Naghizadeh, Fahimeh Hadavimoghaddam, et al. · Scientific Reports
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Density prediction of CO2–hydrocarbon mixtures using an extensive databank: Comparison of interpretable machine learning models with cubic and association-based EoSs
2026 · Sara Sahebalzamani, Arefeh Naghizadeh, et al. · Fuel
Advanced intelligent techniques for modeling oxygen storage in zeolite-based porous materials
2025 · Arefeh Naghizadeh, Ahmadreza Jafari-Sirizi, et al. · Scientific Reports
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Comparison Wettability Alteration of Different Rock Types, Using Nanofluid
2018 · A. Naghizadeh, R. Azin, et al. · Proceedings
Works count: 22
Citation count: 236
H-index: 8
I10-index: 8
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