| Literature review of Industry 4.0 and related technologies E Oztemel, S Gursev Journal of intelligent manufacturing 31 (1), 127-182, 2020 | 2337 | 2020 |
| Yapay sinir ağları E Öztemel Papatya, 2012 | 1422 | 2012 |
| Dynamic job-shop scheduling using reinforcement learning agents ME Aydin, E Öztemel Robotics and Autonomous Systems 33 (2-3), 169-178, 2000 | 378 | 2000 |
| Control chart pattern recognition using learning vector quantization networks DT Pham, E Oztemel The International Journal of Production Research 32 (3), 721-729, 1994 | 180 | 1994 |
| Eğitimde yeni yönelimlerin değerlendirilmesi ve eğitim 4.0 E Öztemel Üniversite Araştırmaları Dergisi 1 (1), 25-30, 2018 | 162 | 2018 |
| Artificial neural networks E Öztemel PapatyaYayincilik, Istanbul, 21-22, 2003 | 153 | 2003 |
| Control chart pattern recognition using spiking neural networks DT Pham, S Sahran Intelligent Production Machines and Systems, 319-325, 2006 | 146 | 2006 |
| Yapay sinir ağlari E Öztemel PapatyaYayincilik, Istanbul, 2003 | 112 | 2003 |
| Belediyelerde toplam kalite yönetimi E Öztemel Değişim Yay., 2001 | 94 | 2001 |
| Enterprise knowledge management model: a knowledge tower E Oztemel, S Arslankaya Knowledge and information systems 31, 171-192, 2012 | 69 | 2012 |
| Intelligent manufacturing systems E Oztemel Artificial intelligence techniques for networked manufacturing enterprises …, 2010 | 58 | 2010 |
| A quantitative approach for measuring process innovation: a case study in a manufacturing company MB Ayhan, E Öztemel, ME Aydin, Y Yue International Journal of Production Research 51 (11), 3463-3475, 2013 | 55 | 2013 |
| A general framework of a reference model for intelligent integrated manufacturing systems (REMIMS) E Oztemel, EK Tekez Engineering Applications of Artificial Intelligence 22 (6), 855-864, 2009 | 53 | 2009 |
| Train 3D: the technique for inclusion of three-dimensional models in longitudinal train dynamics and its application in derailment studies and train simulators D Pogorelov, V Yazykov, N Lysikov, E Oztemel, OF Arar, FS Rende Vehicle system dynamics 55 (4), 583-600, 2017 | 52 | 2017 |
| Intelligent quality systems DT Pham, E Oztemel Springer Science & Business Media, 2012 | 46 | 2012 |
| A neural network-based approach for the prediction of urban SO2 concentrations in the Istanbul metropolitan area A Akkoyunlu, K Yetilmezsoy, F Erturk, E Oztemel International Journal of Environment and Pollution 40 (4), 301-321, 2010 | 46 | 2010 |
| XPC: an on-line expert system for statistical process control DT Pham, E Oztemel The International Journal Of Production Research 30 (12), 2857-2872, 1992 | 46 | 1992 |
| An integrated neural network and expert system tool for statistical process control DT Pham, E Oztemel Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 1995 | 45 | 1995 |
| Bees Algorithm for multi-mode, resource-constrained project scheduling in molding industry E Oztemel, AA Selam Computers & Industrial Engineering 112, 187-196, 2017 | 44 | 2017 |
| Yapay zekâ ve insanlığın geleceği E Öztemel Bilişim teknolojileri ve iletişim: Birey ve toplum güvenliği, 95-112, 2020 | 43 | 2020 |
M. E. AydinComputer Science, University of the West of EnglandVerified email at uwe.ac.uk
