| Consensus statement for stability assessment and reporting for perovskite photovoltaics based on ISOS procedures MV Khenkin, EA Katz, A Abate, G Bardizza, JJ Berry, C Brabec, F Brunetti, ... Nature Energy 5 (1), 35-49, 2020 | 1249 | 2020 |
| Performance analysis of perovskite solar cells in 2013–2018 using machine-learning tools Ç Odabaşı, R Yıldırım Nano Energy 56, 770-791, 2019 | 132 | 2019 |
| Machine learning analysis on stability of perovskite solar cells Ç Odabaşı, R Yıldırım Solar Energy Materials and Solar Cells, 110284, 2019 | 96 | 2019 |
| 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 |
| 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 | 52 | 2020 |
| Assessment of Reproducibility, Hysteresis, and Stability Relations in Perovskite Solar Cells Using Machine Learning Ç Odabaşı, R Yıldırım Energy Technology 8 (12), 1901449, 2020 | 49 | 2020 |
| Investigation of the factors affecting reverse osmosis membrane performance using machine-learning techniques Ç Odabaşı, P Dologlu, F Gülmez, G Kuşoğlu, Ö Çağlar Computers & Chemical Engineering 159, 107669, 2022 | 37 | 2022 |
| Efficiency and Stability Analysis of 2D/3D Perovskite Solar Cells Using Machine Learning B Yılmaz, Ç Odabaşı, R Yıldırım Energy Technology 10 (3), 2100948, 2022 | 20 | 2022 |
| Machine Learning Analysis of the Feed Water Parameters Affecting Reverse Osmosis Membrane Operation Ç Odabaşi, P Döloğlu, F Gülmez, G Kuşoğlu, Ö Çağlar Computer Aided Chemical Engineering 50, 235-240, 2021 | 5 | 2021 |
| A Study of Spectral Envelope Method for Multi-Cause Diagnosis using Industrial Data GK Kaya, P Döloğlu, ÇO Özer, O Şahin, A Palazoğlu, M Külahçı Computer Aided Chemical Engineering 50, 1331-1337, 2021 | 1 | 2021 |
| Determination of Critical Materials and Cell Design Factors for Enhanced Li-S Battery Performance Using Machine Learning A Kilic, Ç Odabaşı, R Yildirim, D Eroglu Electrochemical Society Meeting Abstracts 240, 106-106, 2021 | | 2021 |
| Comparison of Statistical and Machine Learning Approaches for Fault Detection in a Continuous Catalytic Regeneration Unit Ç Odabaşı, P Döloğlu, G Kuşoğlu, Ö Yurttaş, M Külahçı, A Palazoğlu 2021 AIChE Spring Meeting and Global Congress on Process Safety, 2021 | | 2021 |
| Fault Detection and Diagnosis in Refinery Operations: A Case Study on Rotating Equipment and Continuous Catalytic Reforming Unit C Odabasi, P Döloglu, G Kusoglu, M Urus, O Yurttas, M Kulahci, ... 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
Ramazan YildirimBogazici UniversityPotvrđena adresa e-pošte na boun.edu.tr