M. Erdem Günay

About M. Erdem Günay

M. Erdem Günay, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at Istanbul Bilgi Üniversitesi, specializes in the field of Renewable Energy, Machine Learning, Bioenergy, Global Warming, Catalyst Design.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine Learning Analysis of Thermal Performance Indicator of Heat Exchangers with Delta Wing Vortex Generators

Analysis of CO selectivity during electroreduction of CO2 in deep eutectic solvents by machine learning

Exploring the Critical Factors of Biomass Pyrolysis for Sustainable Fuel Production by Machine Learning

Prediction of global temperature anomaly by machine learning based techniques

Analysis of PEM and AEM electrolysis by neural network pattern recognition, association rule mining and LIME

A critical review of machine learning for lignocellulosic ethanol production via fermentation route

Smart paradigm to predict copper surface area of Cu/ZnO/Al2O3 catalyst based on synthesis parameters

Application of Machine Learning for the Determination of Damaged Starch Ratio as an Alternative to Medcalf and Gilles Principle

M. Erdem Günay Information

University

Position

Energy Systems Engineering

Citations(all)

1185

Citations(since 2020)

912

Cited By

567

hIndex(all)

20

hIndex(since 2020)

17

i10Index(all)

27

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

M. Erdem Günay Skills & Research Interests

Renewable Energy

Machine Learning

Bioenergy

Global Warming

Catalyst Design

Top articles of M. Erdem Günay

Machine Learning Analysis of Thermal Performance Indicator of Heat Exchangers with Delta Wing Vortex Generators

Energies

2024/3/13

Analysis of CO selectivity during electroreduction of CO2 in deep eutectic solvents by machine learning

Journal of Applied Electrochemistry

2023/12/27

Exploring the Critical Factors of Biomass Pyrolysis for Sustainable Fuel Production by Machine Learning

Sustainability

2023/10/15

Prediction of global temperature anomaly by machine learning based techniques

Neural Computing and Applications

2023/7

Analysis of PEM and AEM electrolysis by neural network pattern recognition, association rule mining and LIME

Energy and AI

2023/7/1

A critical review of machine learning for lignocellulosic ethanol production via fermentation route

2023/6/1

Smart paradigm to predict copper surface area of Cu/ZnO/Al2O3 catalyst based on synthesis parameters

Chemical Engineering Research and Design

2023/3/1

Application of Machine Learning for the Determination of Damaged Starch Ratio as an Alternative to Medcalf and Gilles Principle

Food Analytical Methods

2023/3

Evaluation of polymer electrolyte membrane electrolysis by explainable machine learning, optimum classification model, and active learning

Journal of Applied Electrochemistry

2023/3

Machine learning for algal biofuels: A critical review and perspective for future

2023

Forecasting long-term world annual natural gas production by machine learning

Resources Policy

2023/1/1

Analysis of lipid production from Yarrowia lipolytica for renewable fuel production by machine learning

Fuel

2022/5/1

Predicting biodiesel properties and its optimal fatty acid profile via explainable machine learning

Renewable Energy

2022/4/1

Analysis and modeling of high-performance polymer electrolyte membrane electrolyzers by machine learning

International Journal of Hydrogen Energy

2022/1/12

Analysis of 70 years of change in benthic invertebrate biodiversity in the Prince’s Islands region, Istanbul

Regional Studies in Marine Science

2021/11/1

Forecasting electricity consumption of OECD countries: A global machine learning modeling approach

Utilities policy

2021/6/1

Recent advances in knowledge discovery for heterogeneous catalysis using machine learning

2021/1/2

Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning

Renewable Energy

2021/1/1

Analysis of the thermalization dynamics of two-layer thin films irradiated by femtosecond laser

Optik

2020/4/1

See List of Professors in M. Erdem Günay University(Istanbul Bilgi Üniversitesi)