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Mehmet Erdem Günay

Observed names: M. Erdem Günay, M. Erdem Günay
ORCID: 0000-0003-1282-718X
Observed ORCID: 0000-0003-1282-718X
OpenAlex ID: A5057251374
Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey
2015 · M. Erdem Günay · Energy Policy · 182
Recent advances in knowledge discovery for heterogeneous catalysis using machine learning
2020 · M. Erdem Günay, Ramazan Yıldırım · Catalysis Reviews · 139
Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning
2020 · Ahmet Coşgun, M. Erdem Günay, et al. · Renewable Energy · 116
Knowledge extraction for water gas shift reaction over noble metal catalysts from publications in the literature between 2002 and 2012
2014 · Çağla Odabaşı, M. Erdem Günay, et al. · International Journal of Hydrogen Energy · 95
Statistical review of dry reforming of methane literature using decision tree and artificial neural network analysis
2017 · Ayşe Neslihan Şener, M. Erdem Günay, et al. · Catalysis Today · 88
Predicting biodiesel properties and its optimal fatty acid profile via explainable machine learning
2022 · Manu Suvarna, Mohammad Islam Jahirul, et al. · Renewable Energy · 79
Significant parameters and technological advancements in biodiesel production systems
2019 · M. Erdem Günay, Lemi Türker, et al. · Fuel · 79
Machine learning for algal biofuels: a critical review and perspective for the future
2023 · Ahmet Coşgun, M. Erdem Günay, et al. · Green Chemistry · 61
Forecasting annual natural gas consumption using socio-economic indicators for making future policies
2019 · Doruk Sen, M. Erdem Günay, et al. · Energy · 61
Analysis and modeling of high-performance polymer electrolyte membrane electrolyzers by machine learning
2021 · M. Erdem Günay, N. Alper Tapan, et al. · International Journal of Hydrogen Energy · 55
Neural network Analysis of Selective CO Oxidation over Copper-Based Catalysts for Knowledge Extraction from Published Data in the Literature
2011 · M. Erdem Günay, Ramazan Yildirim · Industrial & Engineering Chemistry Research · 53
Decision tree analysis of past publications on catalytic steam reforming to develop heuristics for high performance: A statistical review
2017 · Meltem Baysal, M. Erdem Günay, et al. · International Journal of Hydrogen Energy · 51
A critical review of machine learning for lignocellulosic ethanol production via fermentation route
2023 · Ahmet Coşgun, M. Erdem Günay, et al. · Biofuel Research Journal · 44
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Knowledge Extraction from Catalysis of the Past: A Case of Selective CO Oxidation over Noble Metal Catalysts between 2000 and 2012
2013 · M. Erdem Günay, Ramazan Yildirim · ChemCatChem · 44
Analysis of PEM and AEM electrolysis by neural network pattern recognition, association rule mining and LIME
2023 · M. Erdem Günay, N. Alper Tapan · Energy and AI · 41
Machine learning-based exploration of biochar for environmental management and remediation
2024 · Burcu Oral, Ahmet Coşgun, et al. · Journal of Environmental Management · 40
CO2 capture over amine-functionalized MCM-41 and SBA-15: Exploratory analysis and decision tree classification of past data
2019 · Merve G. Yıldız, Tugba Davran-Candan, et al. · Journal of CO2 Utilization · 40
Structure and activity relationship for CO and O2 adsorption over gold nanoparticles using density functional theory and artificial neural networks
2010 · Tuğba Davran-Candan, M. Erdem Günay, et al. · The Journal of Chemical Physics · 40
Decision tree analysis for efficient CO2 utilization in electrochemical systems
2018 · M. Erdem Günay, Lemi Türker, et al. · Journal of CO2 Utilization · 36
Analysis of past experimental data in literature to determine conditions for high performance in biodiesel production
2016 · N. Alper Tapan, Ramazan Yıldırım, et al. · Biofuels Bioproducts and Biorefining · 35
Forecasting Long-Term World Annual Natural Gas Production by Machine Learning
2022 · Doruk Sen, K. Irem Hamurcuoglu, et al. · Resources Policy · 33
Constructing global models from past publications to improve design and operating conditions for direct alcohol fuel cells
2015 · N. Alper Tapan, M. Erdem Günay, et al. · Process Safety and Environmental Protection · 33
Forecasting electricity consumption of OECD countries: A global machine learning modeling approach
2021 · Doruk Sen, K.M. Murat Tunç, et al. · Utilities Policy · 32
Neural network aided design of Pt-Co-Ce/Al2O3 catalyst for selective CO oxidation in hydrogen-rich streams
2007 · M. Erdem Günay, Ramazan Yıldırım · Chemical Engineering Journal · 31
Prediction of mean monthly wind speed and optimization of wind power by artificial neural networks using geographical and atmospheric variables: case of Aegean Region of Turkey
2017 · Deniz Ulkat, M. Erdem Günay · Neural Computing and Applications · 30
Works count: 54
Citation count: 1,921
H-index: 26
I10-index: 41
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