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| Machine learning meets with metal organic frameworks for gas storage and separation C Altintas, OF Altundal, S Keskin, R Yildirim Journal of Chemical Information and Modeling 61 (5), 2131-2146, 2021 | 149 | 2021 |
| Performance analysis of perovskite solar cells in 2013–2018 using machine-learning tools Ç Odabaşı, R Yıldırım Nano Energy 56, 770-791, 2019 | 111 | 2019 |
| Critical review of machine learning applications in perovskite solar research B Yılmaz, R Yıldırım Nano Energy 80, 105546, 2021 | 95 | 2021 |
| 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 | 92 | 2014 |
| Photocatalytic hydrogen production by water splitting over Au/Al-SrTiO3 D Saadetnejad, R Yıldırım international journal of hydrogen energy 43 (2), 1116-1122, 2018 | 89 | 2018 |
| Recent advances in knowledge discovery for heterogeneous catalysis using machine learning M Erdem Günay, R Yıldırım Catalysis Reviews 63 (1), 120-164, 2021 | 78 | 2021 |
| Machine learning analysis on stability of perovskite solar cells Ç Odabaşı, R Yıldırım Solar Energy Materials and Solar Cells 205, 110284, 2020 | 77 | 2020 |
| 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 | 74 | 2018 |
| 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 | 72 | 2021 |
| 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 |
| Optimization of medium composition for biomass production of recombinant Escherichia coli cells using response surface methodology İE Nikerel, ET Öner, B Kirdar, R Yildirim Biochemical Engineering Journal 32 (1), 1-6, 2006 | 55 | 2006 |
| Data mining in photocatalytic water splitting over perovskites literature for higher hydrogen production E Can, R Yildirim Applied Catalysis B: Environmental 242, 267-283, 2019 | 53 | 2019 |
| Selective low-temperature CO oxidation over Pt-Co-Ce/Al2O3 in hydrogen-rich streams T İnce, G Uysal, AN Akın, R Yıldırım Applied Catalysis A: General 292, 171-176, 2005 | 47 | 2005 |
| Assessment of critical materials and cell design factors for high performance lithium-sulfur batteries using machine learning A Kilic, Ç Odabaşı, R Yildirim, D Eroglu Chemical Engineering Journal 390, 124117, 2020 | 46 | 2020 |
| 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 | 45 | 2017 |
| 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 | 45 | 2013 |
| 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 | 42 | 2010 |
M. Erdem GünayIstanbul Bilgi University, Energy Systems Engineering在 bilgi.edu.tr 的电子邮件经过验证
