Bending properties of cross laminated timber (CLT) with a 45 alternating layer configuration D Buck, XA Wang, O Hagman, A Gustafsson BioResources 11 (2), 4633-4644, 2016 | 70 | 2016 |
Predicting moisture content and density distribution of Scots pine by microwave scanning of sawn timber J Johansson, O Hagman, BA Fjellner Journal of Wood Science 49, 312-316, 2003 | 63 | 2003 |
Real-time spectral classification of compression wood inPicea abies J Nyström, O Hagman Journal of wood science 45, 30-37, 1999 | 47 | 1999 |
Moisture content monitoring of a timber footbridge N Björngrim, O Hagman, XA Wang BioResources 11 (2), 3904-3913, 2016 | 40 | 2016 |
Predicting moisture content and density distribution of Scots pine by microwave scanning of sawn timber II: evaluation of models generated on a pixel level N Lundgren, O Hagman, J Johansson Journal of Wood Science 52, 39-43, 2006 | 38 | 2006 |
Microwave penetration in wood using imaging sensor L Hansson, N Lundgren, AL Antti, O Hagman Measurement 38 (1), 15-20, 2005 | 38 | 2005 |
Multivariate prediction of wood surface features using an imaging spectrograph O Hagman Holz als Roh-und Werkstoff 55 (6), 377-382, 1997 | 38 | 1997 |
Comparison of different assembling techniques regarding cost, durability, and ecology-a survey of multi-layer wooden panel assembly load-bearing construction elements D Buck, XA Wang, O Hagman, A Gustafsson BioResources 10 (4), 8378-8396, 2015 | 36 | 2015 |
Anatomical properties and process parameters affecting blister/blow formation in densified European aspen and downy birch sapwood boards by thermo-hygro-mechanical compression SA Ahmed, T Morén, O Hagman, A Cloutier, CH Fang, D Elustondo Journal of Materials Science 48, 8571-8579, 2013 | 32 | 2013 |
Classification of Scots pine (Pinus sylvestris) knots in density images from CT scanned logs POG Hagman, SA Grundberg Holz als Roh-und Werkstoff 53 (2), 75-81, 1995 | 31 | 1995 |
Effect of refining on physical properties and paper strength of Pinus massoniana and China fir cellulose fibers T Chen, Y Xie, Q Wei, XA Wang, O Hagman, O Karlsson, J Liu BioResources 11 (3), 7839-7848, 2016 | 30 | 2016 |
Effect of Si-Al compounds on fire properties of ultra-low density fiberboard M Niu, O Hagman, XA Wang, Y Xie, O Karlsson, LL Cai BioResources 9 (2), 2415-2430, 2014 | 30 | 2014 |
Finite element modeling (FEM) simulation of interactions between wood and microwaves L Hansson, N Lundgren, AL Antti, O Hagman Journal of Wood Science 52, 406-410, 2006 | 30 | 2006 |
Predicting moisture content and density of Scots pine by microwave scanning of sawn timber J Johansson, O Hagman, J Oja Computers and electronics in agriculture 41 (1-3), 85-90, 2003 | 25 | 2003 |
Impact of cold temperatures on the shear strength of Norway spruce joints glued with different adhesives X Wang, O Hagman, B Sundqvist, S Ormarsson, H Wan, P Niemz European journal of wood and wood products 73, 225-233, 2015 | 22 | 2015 |
Recognition of boards using wood fingerprints based on a fusion of feature detection methods T Pahlberg, O Hagman, M Thurley Computers and Electronics in Agriculture 111, 164-173, 2015 | 22 | 2015 |
Crack detection in oak flooring lamellae using ultrasound-excited thermography T Pahlberg, M Thurley, D Popovic, O Hagman Infrared physics & technology 88, 57-69, 2018 | 21 | 2018 |
Development of a continuous wood surface densification process–the roller pressing technique B Neyses, O Hagman, D Sandberg, A Nilsson International Convention of Society of Wood Science and Technology: Forest …, 2016 | 19 | 2016 |
Further development of Cross-laminated timber (CLT): Mechanical tests on 45 alternating layers D Buck, O Hagman, A Wang, A Gustafsson World Conference on Timber Engineering (WCTE 2016), Vienna, August 22-25 2016, 2016 | 17 | 2016 |
Wood fingerprint recognition using knot neighborhood K-plet descriptors T Pahlberg, E Johansson, O Hagman, M Thurley Wood science and technology 49, 7-20, 2015 | 15 | 2015 |