Journal of Energy Resources Technology-Transactions of the Asme

Papers
(The H4-Index of Journal of Energy Resources Technology-Transactions of the Asme is 24. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
A Review on Well Integrity Issues for Underground Hydrogen Storage77
Hydrogen-Enriched Biogas Premixed Charge Combustion and Emissions in Direct Injection and Indirect Injection Diesel Dual Fueled Engines: A Comparative Study66
A Machine Learning Approach to Predicting the Heat Convection and Thermodynamics of an External Flow of Hybrid Nanofluid63
Foaming Properties and Foam Structure of Produced Liquid in Alkali/Surfactant/Polymer Flooding Production58
Comparison of Random Forest and Neural Network in Modeling the Performance and Emissions of a Natural Gas Spark Ignition Engine55
Review of Gas Turbine Internal Cooling Improvement Technology50
COVID-19 and the Global Shift Progress to Clean Energy47
Rock Strength Prediction in Real-Time While Drilling Employing Random Forest and Functional Network Techniques45
Machine Learning Assisted Analysis of an Ammonia Engine Performance42
Advanced Energy, Exergy, and Environmental (3E) Analyses and Optimization of a Coal-Fired 400 MW Thermal Power Plant40
Modeling and Analysis of Sustained Annular Pressure and Gas Accumulation Caused by Tubing Integrity Failure in the Production Process of Deep Natural Gas Wells39
An Evaluation of the Conversion of Gasoline and Natural Gas Spark Ignition Engines to Ammonia/Hydrogen Operation From the Perspective of Laminar Flame Speed37
A Novel Method to Enhance Oil Recovery by Inter-Fracture Injection and Production Through the Same Multi-Fractured Horizontal Well35
Optimized Economic Operation of Microgrid: Combined Cooling and Heating Power and Hybrid Energy Storage Systems35
Optimization of Energy Efficiency in Smart Manufacturing Through the Application of Cyber–Physical Systems and Industry 4.0 Technologies33
Exergy and Energy Analysis of α-Fe2O3-Doped Al2O3 Nanocatalyst-Based Biodiesel Blends—Performance and Emission Characteristics32
Hyper SuDoKu-Based Solar Photovoltaic Array Reconfiguration for Maximum Power Enhancement Under Partial Shading Conditions32
Prediction-Optimization of the Effects of Di-Tert Butyl Peroxide-Biodiesel Blends on Engine Performance and Emissions Using Multi-Objective Response Surface Methodology31
Statistical and Continuous Wavelet Transformation-Based Analysis of Combustion Instabilities in a Biodiesel-Fueled Compression Ignition Engine30
Performance Evaluation of a Single-Stage Two-Bed Adsorption Chiller With Desalination Function29
An Automated Machine Learning-Genetic Algorithm Framework With Active Learning for Design Optimization27
Socio-Inspired Multi-Cohort Intelligence and Teaching-Learning-Based Optimization for Hydraulic Fracturing Parameters Design in Tight Formations26
On the Application of Machine Learning in Savonius Wind Turbine Technology: An Estimation of Turbine Performance Using Artificial Neural Network and Genetic Expression Programming25
Experimental Investigation of Combustion Characteristics of a Single Cylinder Diesel Engine at Altitude24
Multidimensional Numerical Modeling of Combustion Dynamics in a Non-Premixed Rotating Detonation Engine With Adaptive Mesh Refinement24
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