| Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey ME Günay Energy Policy 90, 92-101, 2016 | 211 | 2016 |
| Knowledge extraction for water gas shift reaction over noble metal catalysts from publications in the literature between 2002 and 2012 Ç Odabaşı, ME Günay, R Yıldırım International journal of hydrogen energy 39 (11), 5733-5746, 2014 | 96 | 2014 |
| Recent advances in knowledge discovery for heterogeneous catalysis using machine learning M Erdem Günay, R Yıldırım Catalysis Reviews 63 (1), 120-164, 2021 | 87 | 2021 |
| Significant parameters and technological advancements in biodiesel production systems ME Günay, L Türker, NA Tapan Fuel 250, 27-41, 2019 | 84 | 2019 |
| Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning A Coşgun, ME Günay, R Yıldırım Renewable Energy 163, 1299-1317, 2021 | 81 | 2021 |
| Statistical review of dry reforming of methane literature using decision tree and artificial neural network analysis AN Şener, ME Günay, A Leba, R Yıldırım Catalysis Today 299, 289-302, 2018 | 79 | 2018 |
| Forecasting annual natural gas consumption using socio-economic indicators for making future policies D Sen, ME Günay, KMM Tunç Energy 173, 1106-1118, 2019 | 69 | 2019 |
| Neural network analysis of selective CO oxidation over copper-based catalysts for knowledge extraction from published data in the literature ME Gunay, R Yildirim Industrial & engineering chemistry research 50 (22), 12488-12500, 2011 | 55 | 2011 |
| Knowledge extraction from catalysis of the past: a case of selective CO oxidation over noble metal catalysts between 2000 and 2012 ME Günay, R Yildirim ChemCatChem 5 (6), 1395-1406, 2013 | 48 | 2013 |
| Decision tree analysis of past publications on catalytic steam reforming to develop heuristics for high performance: A statistical review M Baysal, ME Günay, R Yıldırım International Journal of Hydrogen Energy 42 (1), 243-254, 2017 | 47 | 2017 |
| Predicting biodiesel properties and its optimal fatty acid profile via explainable machine learning M Suvarna, MI Jahirul, WH Aaron-Yeap, CV Augustine, A Umesh, ... Renewable Energy 189, 245-258, 2022 | 46 | 2022 |
| Structure and activity relationship for CO and O2 adsorption over gold nanoparticles using density functional theory and artificial neural networks T Davran-Candan, ME Günay, R Yıldırım The Journal of chemical physics 132 (17), 2010 | 43 | 2010 |
| Neural network aided design of Pt-Co-Ce/Al2O3 catalyst for selective CO oxidation in hydrogen-rich streams ME Günay, R Yıldırım Chemical Engineering Journal 140 (1-3), 324-331, 2008 | 43 | 2008 |
| Forecasting electricity consumption of OECD countries: A global machine learning modeling approach D Sen, KMM Tunç, ME Günay Utilities Policy 70, 101222, 2021 | 36 | 2021 |
| CO2 capture over amine-functionalized MCM-41 and SBA-15: Exploratory analysis and decision tree classification of past data MG Yıldız, T Davran-Candan, ME Günay, R Yıldırım Journal of CO2 utilization 31, 27-42, 2019 | 36 | 2019 |
| Constructing global models from past publications to improve design and operating conditions for direct alcohol fuel cells NA Tapan, ME Günay, R Yildirim Chemical Engineering Research and Design 105, 162-170, 2016 | 35 | 2016 |
| Analysis of past experimental data in literature to determine conditions for high performance in biodiesel production NA Tapan, R Yıldırım, ME Günay Source of the Document Biofuels, Bioproducts and Biorefining 10 (4), 422-434, 2016 | 34* | 2016 |
| 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 D Ulkat, ME Günay Neural Computing and Applications 30, 3037-3048, 2018 | 31 | 2018 |
| Analysis and modeling of high-performance polymer electrolyte membrane electrolyzers by machine learning ME Günay, NA Tapan, G Akkoç International Journal of Hydrogen Energy 47 (4), 2134-2151, 2022 | 30 | 2022 |
| Analysis of selective CO oxidation over promoted Pt/Al2O3 catalysts using modular neural networks: Combining preparation and operational variables ME Günay, R Yildirim Applied Catalysis A: General 377 (1-2), 174-180, 2010 | 29 | 2010 |
