| Prediction of engine performance for an alternative fuel using artificial neural network Y Çay, A Çiçek, F Kara, S Sağiroğlu Applied Thermal Engineering 37, 217-225, 2012 | 230 | 2012 |
| Prediction of engine performance and exhaust emissions for gasoline and methanol using artificial neural network Y Çay, I Korkmaz, A Çiçek, F Kara Energy 50, 177-186, 2013 | 197 | 2013 |
| Prediction of cutting temperature in orthogonal machining of AISI 316L using artificial neural network F Kara, K Aslantaş, A Cicek Applied Soft Computing 38, 64-74, 2016 | 167 | 2016 |
| Effect of machinability, microstructure and hardness of deep cryogenic treatment in hard turning of AISI D2 steel with ceramic cutting F Kara, M Karabatak, M Ayyıldız, E Nas Journal of Materials Research and Technology 9 (1), 969-983, 2020 | 166 | 2020 |
| Prediction of damage factor in end milling of glass fibre reinforced plastic composites using artificial neural network Ö Erkan, B Işık, A Çiçek, F Kara Applied Composite Materials 20, 517-536, 2013 | 153 | 2013 |
| ANN and multiple regression method-based modelling of cutting forces in orthogonal machining of AISI 316L stainless steel F Kara, K Aslantas, A Çiçek Neural Computing and Applications 26, 237-250, 2015 | 119 | 2015 |
| Evaluation of machinability of hardened and cryo-treated AISI H13 hot work tool steel with ceramic inserts A Çiçek, F Kara, T Kivak, E Ekici International journal of refractory metals and hard materials 41, 461-469, 2013 | 98 | 2013 |
| Effects of deep cryogenic treatment on the wear resistance and mechanical properties of AISI H13 hot-work tool steel A Çiçek, F Kara, T Kıvak, E Ekici, I Uygur Journal of Materials Engineering and Performance 24, 4431-4439, 2015 | 90 | 2015 |
| Comparison and optimization of PVD and CVD method on surface roughness and flank wear in hard-machining of DIN 1.2738 mold steel F Kara, B Öztürk Sensor Review 39 (1), 24-33, 2019 | 77 | 2019 |
| Effect of deep cryogenic treatment on wear resistance of AISI 52100 bearing steel I Gunes, A Cicek, K Aslantas, F Kara Transactions of the Indian Institute of Metals 67, 909-917, 2014 | 68 | 2014 |
| Predictive modeling of performance of a helium charged Stirling engine using an artificial neural network YÖ Özgören, S Çetinkaya, S Sarıdemir, A Çiçek, F Kara Energy conversion and Management 67, 357-368, 2013 | 67 | 2013 |
| Artificial Intelligence‐Based Surface Roughness Estimation Modelling for Milling of AA6061 Alloy A Eser, E Aşkar Ayyıldız, M Ayyıldız, F Kara Advances in Materials Science and Engineering 2021 (1), 5576600, 2021 | 66 | 2021 |
| Optimization of surface roughness in finish milling of AISI P20+ S plastic-mold steel F Kara Materials and Technology 52 (2), 195-200, 2018 | 66* | 2018 |
| Examination of machining parameters and prediction of cutting velocity and surface roughness using RSM and ANN using WEDM of Altemp HX IV Manoj, H Soni, S Narendranath, PM Mashinini, F Kara Advances in Materials Science and Engineering 2022 (1), 5192981, 2022 | 64 | 2022 |
| Taguchi optimization of surface roughness and flank wear during the turning of DIN 1.2344 tool steel F Kara Materials Testing 59 (10), 903-908, 2017 | 62 | 2017 |
| Calculation and estimation of surface roughness and energy consumption in milling of 6061 alloy B Öztürk, F Kara Advances in Materials Science and Engineering 2020 (1), 5687951, 2020 | 55 | 2020 |
| Optimization of EDM machinability of hastelloy C22 super alloys E Nas, F Kara Machines 10 (12), 1131, 2022 | 52 | 2022 |
| Taguchi optimization of surface roughness in grinding of cryogenically treated AISI 5140 steel F Kara, U Köklü, U Kabasakaloğlu Materials Testing 62 (10), 1041-1047, 2020 | 49 | 2020 |
| Optimization of cryogenic treatment effects on the surface roughness of cutting tools F Kara, A Takmaz Materials Testing 61 (11), 1101-1104, 2019 | 45 | 2019 |
| İnternet ekonomisi ve kurumsal sürdürülebilirlik M Sarıkaya, M Erdoğan, FZ Kara Eskişehir Osmangazi Üniversitesi, 2010 | 45 | 2010 |
Adem ÇiçekAnkara Yıldırım Beyazıt UniversityVerified email at ybu.edu.tr
