Behnam Amiri-Ramsheh

Author

Shahid Bahonar University of Kerman ORCID

Also Known As

Behnam Amiri-Ramsheh

Publications

298

Citations

H-Index

Concepts

All Affiliations

Shahid Bahonar University of Kerman China University of Petroleum, Beijing Amirkabir University of Technology McGill University American University of the Middle East

About

Behnam Amiri-Ramsheh is an author at Shahid Bahonar University of Kerman specializing in engineering, numerical simulation, and industrial engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	161
2	Applied Physics	1	1	26
3	Chemical Engineering	1	1	19
4	Civil Engineering	1	1	24
5	Computer Engineering	1	1	42

Behnam Amiri-Ramsheh

Publications

285

Citations

H-Index

Page 1

	Year	Citations
Modeling of wax disappearance temperature (WDT) using soft computing approaches: Tree-based models and hybrid models Behnam Amiri-Ramsheh, Majid Safaei-Farouji, Aydin Larestani, Journal of Petroleum Science and Engineering Numerical AnalysisEngineeringIndustrial EngineeringTree-based ModelsNumerical Simulation	2021	42
Modeling Viscosity of CO<sub>2</sub>–N<sub>2</sub> Gaseous Mixtures Using Robust Tree-Based Techniques: Extra Tree, Random Forest, GBoost, and LightGBM Haimin Zheng, Atena Mahmoudzadeh, Behnam Amiri-Ramsheh, ACS Omega	2023	31
Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state Qichao Lv, Tongke Zhou, Haimin Zheng, International Journal of Hydrogen Energy Gene Expression ProgrammingEngineeringData ScienceWater ResourcesComputational Chemistry	2024	31
Modeling thermo-physical properties of hydrogen utilizing machine learning schemes: Viscosity, density, diffusivity, and thermal conductivity Qichao Lv, Zhaomin Li, Xiaochen Li, International Journal of Hydrogen Energy Hydrogen Utilizing MachineThermodynamic ModellingEngineeringPhysicsThermo-physical Properties	2024	26
Modeling CO2 solubility in water using gradient boosting and light gradient boosting machine Atena Mahmoudzadeh, Behnam Amiri-Ramsheh, Saeid Atashrouz, Scientific Reports	2024	26
Modeling interfacial tension of surfactant–hydrocarbon systems using robust tree-based machine learning algorithms Ali Rashidi-Khaniabadi, Elham Rashidi-Khaniabadi, Behnam Amiri-Ramsheh, Scientific Reports EngineeringMachine LearningIndustrial EngineeringMachine Learning ToolData Science	2023	24
Modeling wax deposition of crude oils using cascade forward and generalized regression neural networks: Application to crude oil production Behnam Amiri-Ramsheh, Reza Zabihi, Abdolhossein Hemmati‐Sarapardeh Geoenergy Science and Engineering Petroleum MachineryEngineeringMachine LearningIndustrial EngineeringWax Deposition	2023	19
Modeling thermal conductivity of hydrogen-based binary gaseous mixtures using generalized regression neural network Arefeh Naghizadeh, Behnam Amiri-Ramsheh, Saeid Atashrouz, International Journal of Hydrogen Energy Materials ScienceThermodynamic ModellingChemical EngineeringEngineeringThermal Analysis	2024	19
Extensive data analysis and modelling of carbon dioxide solubility in ionic liquids using chemical structure-based ensemble learning approaches Reza Nakhaei-Kohani, Behnam Amiri-Ramsheh, Maryam Pourmahdi, Fluid Phase Equilibria	2024	16
On the evaluation of the carbon dioxide solubility in polymers using gene expression programming Behnam Amiri-Ramsheh, Menad Nait Amar, Mohammadhadi Shateri, Scientific Reports	2023	13

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