Ahmet Coşgun, M. Erdem Günay, Ramazan Yıldırım, "A critical review of machine learning for lignocellulosic ethanol production via fermentation route", Vol. 38, pp. 1859-1875, 2023

Doruk Sen, Mehmet Fatih Huseyinoglu, M. Erdem Günay, "Prediction of global temperature anomaly by machine learning based techniques", Vol. 35, pp. 15601–15614, 2023

Ahmet Coşgun, M. Erdem Günay, Ramazan Yıldırım, "Machine learning for algal biofuels: a critical review and perspective for the future", Green Chemistry, Vol. 25, pp. 3354, 2023

Soheil Saffary, Mansoureh Rafiee, Mohammadreza Saeidi, M. Erdem Günay, Sohrab Zendehboudi, "Smart paradigm to predict copper surface area of Cu/ZnO/Al2O3 catalyst based on synthesis parameters", Chemical Engineering Research and Design, Vol. 191, pp. 604-616, 2023

N. Alper Tapan,  M. Erdem Günay, Nilüfer Yıldırım, "Application of Machine Learning for the Determination of Damaged Starch Ratio as an Alternative to Medcalf and Gilles Principle", Food Analytical Methods, Vol. 16, pp. 604-614, 2023

Doruk Sen, K. Irem Hamurcuoglu, Melisa Z. Ersoy, K.M. Murat Tunç, M. Erdem Günay, "Forecasting long-term world annual natural gas production by machine learning", Resources Policy, Vol. 80, pp. 103224, 2023

M. Erdem Günay, N. Alper Tapan, "Evaluation of polymer electrolyte membrane electrolysis by explainable machine learning, optimum classification model, and active learning", Journal of Applied Electrochemistry, Vol. 53, pp. 415-433, 2023

Manu Suvarna, Mohammad Islam Jahirul, Wai Hung Aaron-Yeap, Cheryl Valencia Augustine, Anushri Umesh, Mohammad Golam Rasul, M. Erdem Günay, Ramazan Yildirim, Jidon Janaun, “Predicting biodiesel properties and its optimal fatty acid profile via explainable machine learning”, Renewable Energy, Vol. 189, pp. 245-258, 2022

Ahmet Coşgun, M. Erdem Günay, Ramazan Yıldırım, “Analysis of lipid production from Yarrowia lipolytica for renewable fuel production by machine learning”, Fuel, Vol. 315, pp. 122817, 2022

M. Erdem Günay, N. Alper Tapan, Gizem Akkoç, “Analysis and modeling of high-performance polymer electrolyte membrane electrolyzers by machine learning”, International Journal of Hydrogen Energy, Vol. 47, pp. 2134-2151, 2022

Mehmet Fatih Huseyinoglu, Gokhan Tari, M. Erdem Günay, “Analysis of 70 years of change in benthic invertebrate biodiversity in the Prince’s Islands region, Istanbul”, Regional Studies in Marine Science, Vol. 48, pp. 102003, 2021

Doruk Sen, K.M. Murat Tunç, M. Erdem Günay, “Forecasting electricity consumption of OECD countries: A global machine learning modeling approach”, Utilities Policy, Vol. 70, pp. 101222, 2021

M. Erdem Günay, Ramazan Yıldırım, “Recent advances in knowledge discovery for heterogeneous catalysis using machine learning”, Catalysis Reviews Science and Engineering,Vol. 63, pp. 120-164, 2021

Ahmet Cosgun, M. Erdem Günay, Ramazan Yıldırım, “Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning”, Renewable Energy, Vol.163, pp. 1299-1317, 2021

K.M. Murat Tunç, M. Erdem Günay, Fatma Bayata, “Analysis of the thermalization dynamics of two-layer thin films irradiated by femtosecond laser”, Optik - International Journal for Light and Electron Optics, Vol. 208, pp. 164137, 2020

M. Erdem Günay, Lemi Türker, N. Alper Tapan, “Significant parameters and technological advancements in biodiesel production systems”, Fuel, Vol. 250, pp. 27-41, 2019.

Merve G. Yıldız, Tuğba Davran-Candan, M. Erdem Günay,  Ramazan Yıldırım, “CO2 capture over amine-functionalized MCM-41 and  SBA-15: Exploratory analysis and decision tree classification of past  data”, Journal of CO2 Utilization, Vol. 31, pp. 27-42, 2019.

Doruk Şen, M. Erdem Günay, K.M. Murat Tunç,“Forecasting annual natural gas consumption using socio-economic indicators for making future policies”, Vol. 173, pp 1106-1118, 2019.

M. Erdem Günay, Lemi Türker, N. Alper Tapan, “Decision tree analysis for efficient CO₂ utilization in electrochemical systems”, Journal of CO₂ Utilization, Vol. 28, pp 83-95, 2018

Deniz Ulkat, M. Erdem Günay, “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”, Neural Computing and Applications, Vol. 30, pp 3037–3048, 2018

Ayşe Neslihan Şener, M. Erdem Günay, Aybüke Leba, Ramazan Yıldırım, "Statistical review of dry reforming of methane literature using decision tree and artificial neural network analysis", Catalysis Today, Vol. 299, pp 289-302, 2018

Meltem Baysal, M. Erdem Günay, Ramazan Yıldırım, “Decision tree analysis of past publications on catalytic steam reforming to develop heuristics for high performance: A statistical review”, International Journal of Hydrogen Energy, Vol. 42, Issue 1, pp 243–254, 2017

N. Alper Tapan, Ramazan Yildirim, M. Erdem Günay, Ramazan Yildirim, “Analysis of past experimental data in literature to determine conditions for high performance in biodiesel production”, Biofuels, Bioproducts and Biorefining, Vol. 10, pp. 422–434, Issue 4, 2016

M. Erdem Günay, “Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey”, Energy Policy, Vol. 90, pp. 92–101, 2016.

N. Alper Tapan, M. Erdem Günay, Ramazan Yildirim, “Constructing global models from past publications to improve design and operating conditions for direct alcohol fuel cells”, Chemical Engineering Research and Design, Vol. 105, pp.162–170, 2016

Çagla Odabasi, M. Erdem Gunay and R. Yildirim, “Knowledge extraction for water gas shift reaction over noble metal catalysts from publications in the literature between 2002 and 2012″, International Journal of Hydrogen Energy , Vol.39, pp.5733-5746, 2014

M. Erdem Gunay and R. Yildirim, “Developing Global Reaction Rate Model for CO Oxidation over Au Catalysts from Past Data in Literature Using Artificial Neural Networks”, Applied Catalysis A: General, Vol.468, pp.395-402, 2013

M. Erdem Gunay and R. Yildirim, “Knowledge extraction from historical data: Case of selective CO oxidation over noble metal catalysts between 2000-2012″, ChemCatChem, Vol.5, pp.1395–1406, 2013

M. Erdem Gunay and R. Yildirim, “Modeling preferential CO oxidation over promoted Au/Al2O3 catalysts using decision trees and modular neural networks”, Chemical Engineering Research and Design, Vol.91, pp.874–882, 2013

M. Erdem Gunay, T. Davran-Candan, R. Yildirim, “Analysis of O2 Adsorption Stability and Strength Over Gold Clusters Using DFT and Logistic Regression”, Journal of Cluster Science, Vol. 23, pg. 221–235, 2012.

M. Erdem Gunay, F. Akpinar, Z. I. Onsan, R. Yildirim, “Investigation of water-gas shift activity of Pt-MOx-CeO2/Al2O3 (M=K, Ni, Co) using modular artificial neural networks”, International Journal of Hydrogen Energy, Vol. 37, pg. 2094-2102, 2012

M. Erdem Gunay and R. Yildirim, “Neural network analysis of selective CO oxidation over copper-based catalysts for knowledge extraction for published data in the literature”, Industrial Engineering Chemistry Research, Vol. 50, pg. 12488–12500, 2011

T. Davran-Candan, M. Erdem Gunay, R. Yildirim, “Structure and activity relationship for CO and O2 adsorption over gold nanoparticles using DFT and artificial neural networks”, Journal of Chemical Physics, Vol. 132, pg. 174113-1-9, 2010

M. Erdem Gunay and R. Yildirim, “Analysis of selective CO oxidation over promoted Pt/Al2O3 catalysts using modular neural networks: Combining preparation and operational variables”, Applied Catalysis A: General, Vol. 377, pg. 174–180, 2010

M. Erdem Gunay, I. E. Nikerel, E. T. Oner, B. Kirdar, R. Yildirim, “Simultaneous modeling of enzyme production and biomass growth in recombinant Escherichia coli using artificial neural networks”, Biochemical Engineering Journal, Vol. 42, pg. 329-335, 2008

M. Erdem Gunay and R. Yildirim, “Neural network aided design of Pt-Co-Ce/Al2O3 catalyst for selective CO oxidation in hydrogen-rich streams”, Chemical Engineering Journal, Vol. 140, pg. 324–331, 2008.

Dilara M. Subaşı, Ozan Şahin, M. Erdem Günay, “Decision Tree Analysis of Algae Growth for Oil Extraction and Biodiesel Production”

M. Erdem Günay, K. M. Murat Tunç, “Dynamic Modeling and Simulation of a Molten Salt Storage Tank for a Parabolic Trough Solar Power Plant”

Meltem Baysal, M. Erdem Günay, Ramazan Yıldırım, “Knowledge Extraction for Steam Reforming of Methane: A Statistical Review of Past Publications by Decision Trees”

M. Erdem Gunay Cagla Odabasi, Ramazan Yıldırım,“Analysis of the Past Published Data on WGS Reaction Over Pt and Au Catalysts by Decision Trees”

M. Erdem Günay “Predicting the Electricity Demand of  Turkey Using the Past Data”

M. Erdem Gunay, Ramazan Yıldırım, “Knowledge Extraction for Catalytic Reactions From Experimental Data Using Data Mining Tools"

M. Erdem Gunay, Ramazan Yıldırım, “Knowledge Extraction from Published Data for Selective CO Oxidation Using Data Mining Techniques”

M. Erdem Gunay, Ramazan Yıldırım, “Modeling of Preferential CO Oxidation over Promoted Au/Al₂O₃ Catalysts Using k-means Clustering and Modular Neural Networks”

M. Erdem Günay, Ramazan Yıldırım, “Analysis of preferential CO oxidation over promoted Au/Al2O3 catalysts using partially connected artificial neural networks”

M. Erdem Günay, Ramazan Yıldırım, “Seçimli CO Oksidasyon Katalizörlerinin Yapay Sinir Ağlarıyla Modellenmesi”

M. Erdem Günay, Ramazan Yıldırım, “Modular neural network aided modeling of Pt/Al2O3 catalysts for selective CO oxidation in hydrogen-rich streams”

M. Erdem Günay, Ramazan Yıldırım, “Modeling Pt/Al2O3 catalysts for selective CO oxidation in hydrogen-rich streams by partially connected neural networks”

M. Erdem Günay, Ramazan Yıldırım, “Neural Network Modeling of Low Temperature CO Oxidation Over Pt Based Catalysts”