| The influence of moisture content of raw material on the physical and mechanical properties, surface roughness, wettability, and formaldehyde emission of particleboard composite M Baharoğlu, G Nemli, B Sarı, S Bardak, N Ayrılmış Composites Part B: Engineering 43 (5), 2448-2451, 2012 | 63 | 2012 |
| Effects of anatomical and chemical properties of wood on the quality of particleboard M Baharoğlu, G Nemli, B Sarı, T Birtürk, S Bardak Composites Part B: Engineering 52, 282-285, 2013 | 51 | 2013 |
| The effect of decor paper properties and adhesive type on some properties of particleboard S Bardak, B Sarı, G Nemli, H Kırcı, M Baharoğlu International Journal of Adhesion and Adhesives 31 (6), 412-415, 2011 | 43 | 2011 |
| Investigation and neural network prediction of wood bonding quality based on pressing conditions S Bardak, S Tiryaki, G Nemli, A Aydın International Journal of Adhesion and Adhesives 68, 115-123, 2016 | 40 | 2016 |
| Experimental investigation and prediction of bonding strength of Oriental beech (Fagus orientalis Lipsky) bonded with polyvinyl acetate adhesive S Tiryaki, S Bardak, T Bardak Journal of Adhesion Science and Technology 29 (23), 2521-2536, 2015 | 37 | 2015 |
| Effects of chemical composition of wood and resin type on properties of particleboard B Sarı, N Ayrilmis, G Nemli, M Baharoğlu, E Gümüşkaya, S Bardak Lignocellulose J 1, 174-184, 2014 | 36 | 2014 |
| Effects of hardener type, urea usage and conditioning period on the quality properties of particleboard İ Atar, G Nemli, N Ayrilmis, M Baharoğlu, B Sarı, S Bardak Materials & Design (1980-2015) 56, 91-96, 2014 | 32 | 2014 |
| The influences of drying temperature of wood particles on the quality properties of particleboard composite B Sarı, G Nemli, N Ayrilmis, M Baharoğlu, S Bardak Drying Technology 31 (1), 17-23, 2013 | 28 | 2013 |
| Predictive performance of artificial neural network and multiple linear regression models in predicting adhesive bonding strength of wood S Bardak, S Tiryaki, T Bardak, A Aydin Strength of Materials 48, 811-824, 2016 | 27 | 2016 |
| Analysis of volumetric swelling and shrinkage of heat treated woods: Experimental and artificial neural network modeling approach S Tiryaki, S Bardak, A Aydin, G Nemli Maderas. Ciencia y tecnología 18 (3), 477-492, 2016 | 26 | 2016 |
| The influence of raw material growth region, anatomical structure and chemical composition of wood on the quality properties of particleboards S Bardak, G Nemli, S Tiryaki Maderas. Ciencia y tecnología 19 (3), 363-372, 2017 | 21 | 2017 |
| The role of solid content of adhesive and panel density on the dimensional stability and mechanical properties of particleboard B Sarı, G Nemli, M Baharoğlu, S Bardak, E Zekoviç Journal of Composite Materials 47 (10), 1247-1255, 2013 | 21 | 2013 |
| Manufacture and properties of particleboard composite from waste sanding dusts S Bardak, G Nemli, B Sari, M Baharoglu, E Zekovic High Temperature Materials and Processes 29 (3), 159-168, 2010 | 20 | 2010 |
| Apriori Algoritmasi Kullanilarak Mobilya Seçimde Etkili Olan Faktörlerin Analizi E SÖZEN, T BARDAK, H PEKER, S BARDAK İleri Teknoloji Bilimleri Dergisi 6 (3), 679-684, 2017 | 17 | 2017 |
| Performance evaluation of multiple adaptive regression splines, teaching–learning based optimization and conventional regression techniques in predicting mechanical properties … S Tiryaki, H Tan, S Bardak, M Kankal, S Nacar, H Peker European journal of wood and wood products 77, 645-659, 2019 | 16 | 2019 |
| Predicting effects of selected impregnation processes on the observed bending strength of wood, with use of data mining models S Bardak, T Bardak, H Peker, E Sözen, Y Çabuk Bioresources 16 (3), 4891, 2021 | 15 | 2021 |
| The impact of nanoparticles and moisture content on bonding strength of urea formaldehyde resin adhesive T Bardak, E Sozen, K Kayahan, S Bardak Drvna industrija 69 (3), 247-252, 2018 | 15 | 2018 |
| Bazı faktörlerin yonga levhanın teknolojik özellikleri üzerine etkileri S Bardak Artvin Çoruh Üniversitesi, Orman Fakültesi, Orman Endüstri Mühendisliği …, 2010 | 14 | 2010 |
| Modeling of wood bonding strength based on soaking temperature and soaking time by means of artificial neural networks S Tiryaki, S Bardak, A Aydın International Journal of Intelligent Systems and Applications in Engineering …, 2016 | 13 | 2016 |
| Effect of paraffin application technique on the physical and mechanical properties of particleboard M Baharoğlu, G Nemli, B Sarı, N Ayrilmis, S Bardak, E Zekoviç Science and Engineering of Composite Materials 21 (2), 191-195, 2014 | 13 | 2014 |
