OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Energy Resources Technology-Transactions of the Asme is 25. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Estimation of Pressure Drop of Two-Phase Flow in Horizontal Long Pipes Using Artificial Neural Networks	88
A Machine Learning Approach to Predicting the Heat Convection and Thermodynamics of an External Flow of Hybrid Nanofluid	61
Hydrogen-Enriched Biogas Premixed Charge Combustion and Emissions in Direct Injection and Indirect Injection Diesel Dual Fueled Engines: A Comparative Study	57
Foaming Properties and Foam Structure of Produced Liquid in Alkali/Surfactant/Polymer Flooding Production	55
A Review on Well Integrity Issues for Underground Hydrogen Storage	50
Comparison of Random Forest and Neural Network in Modeling the Performance and Emissions of a Natural Gas Spark Ignition Engine	46
Engine Combustion System Optimization Using Computational Fluid Dynamics and Machine Learning: A Methodological Approach	44
Application of Machine Learning to Investigation of Heat and Mass Transfer Over a Cylinder Surrounded by Porous Media—The Radial Basic Function Network	42
Review of Gas Turbine Internal Cooling Improvement Technology	41
Advanced Energy, Exergy, and Environmental (3E) Analyses and Optimization of a Coal-Fired 400 MW Thermal Power Plant	40
COVID-19 and the Global Shift Progress to Clean Energy	40
Rock Strength Prediction in Real-Time While Drilling Employing Random Forest and Functional Network Techniques	37
Modeling and Analysis of Sustained Annular Pressure and Gas Accumulation Caused by Tubing Integrity Failure in the Production Process of Deep Natural Gas Wells	36
Use of Machine Learning and Data Analytics to Detect Downhole Abnormalities While Drilling Horizontal Wells, With Real Case Study	34
Experimental Analysis of a Novel Solar Pond Driven Thermoelectric Energy System	33
Random Forest Machine Learning Model for Predicting Combustion Feedback Information of a Natural Gas Spark Ignition Engine	30
Machine Learning Assisted Analysis of an Ammonia Engine Performance	30
A Novel Method to Enhance Oil Recovery by Inter-Fracture Injection and Production Through the Same Multi-Fractured Horizontal Well	30
A Review on the Performance, Combustion, and Emission Characteristics of Spark-Ignition Engine Fueled With 2,5-Dimethylfuran Compared to Ethanol and Gasoline	29
Prediction-Optimization of the Effects of Di-Tert Butyl Peroxide-Biodiesel Blends on Engine Performance and Emissions Using Multi-Objective Response Surface Methodology	29
Investigation of Dual-Fuel Combustion by Different Port Injection Fuels (Neat Ethanol and E85) in a DE95 Diesel/Ethanol Blend Fueled Compression Ignition Engine	28
Exergy and Energy Analysis of α-Fe2O3-Doped Al2O3 Nanocatalyst-Based Biodiesel Blends—Performance and Emission Characteristics	28
Optimized Economic Operation of Microgrid: Combined Cooling and Heating Power and Hybrid Energy Storage Systems	28
Optimization of Energy Efficiency in Smart Manufacturing Through the Application of Cyber–Physical Systems and Industry 4.0 Technologies	27
Performance Evaluation of a Single-Stage Two-Bed Adsorption Chiller With Desalination Function	27

A Comparison of Gasoline, Liquid Petroleum Gas, and Hydrogen Utilization in an Spark Ignition Engine in Terms of Environmental and Economic Indicators	25
Comparison of Various Blade Profiles in a Two-Blade Conventional Savonius Wind Turbine	25
An Evaluation of the Conversion of Gasoline and Natural Gas Spark Ignition Engines to Ammonia/Hydrogen Operation From the Perspective of Laminar Flame Speed	25