-Amini, M., Sagheb-Talebi, Kh,. Namiranian,M and Amini, R.2009. Investigation on increment of Fagus orientalis Lipsky using time series analysis, Iranian Journal of Forest and Poplar Research,17(3):404-421 (In Persian).
-Armstrong, J.P.; Patterson, D.W.; Sneckenberger, J.E. 1991.Comparison of three equations for predicting stress wave velocity as a function of grain angle. Wood and Fiber Science,23(1):32.43.
-Barriola,M.J., Aira,J.R and Villanueva,J.L. 2021. Analytical models of the mechanical properties of Japanese larch (Larix kaempferi (Lamb.) Carr.) based on non destructive testing and visual grading parameters. Wood Material Science & Engineering,16(2):94-101.
- Dackermann,U., Crews,K., Kasal,B., Li,J., Riggio,M., Rinn,F and Tannert,T.2013. In situ assessment of structural timber using stress-wave.Measurements. Materials and Structures.DOI 10.1617/s11527-013-0095-4
-Duong,D.V and Ridley-Ellis,D. 2021.Estimating mechanical properties of clear wood from ten‐year‐old Melia azedarach trees using the stress wave method. European Journal of Wood and Wood Products,79:941–949.
-Guntekin,E., Ozkan,S and Yilmaz,T.2014.Prediction of bending properties for beech lumber using stress wave method. Maderas. Ciencia y tecnología 16(1): 93-98, DOI 10.4067/S0718-221X2014005000008
-Jung, J. 1979. Stress wave grading techniques on veneer sheets. Gen. Tech. Rep. FPL.GTR.27. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory.
-Kartoolinejad,D.,Najafi,A and Kazemi-Najafi,S.2013.Decay evaluation of damaged beech trees (Fagus orientalis L.) adjacent to skid trails by nondestructive stress wave technique, Iranian Journal of Forest and Poplar Research, 20( 4):622-633 (In Persian).
-Lotfi,S., Saadatnia,M.A., Moradian,M.H and Poursartip,L.2021. Investigation on biomechanical properties of Pinus nigra Using stress wave technique and resistography, Iranian Journal of Wood and Paper Science Research, 36 (2):144-156(In Persian).
- Ohara,K.L.2007.Pruning Wounds and Occlusion: A Long-Standing Conundrum in Forestry, Journal of Forestry, 105(3):131-138.
-Oven.P., Merela.M., Mikac.U and Sersˇa.I.2008. 3D magnetic resonance microscopy of a wounded beech branch, Holzforschung, 62:322–328. DOI 10.1515/HF.2008.022
-Račko, V.2013.Verify the accuracy of estimation the model between dimensional characteristics of branch scar and the location of the knot in the beech trunk. Forestry and Wood Technology, 84:60–65.
-Roohnia, M., A, Tajdini & N, Manouchehri.2011. Assessing wood in sounding boards considering the ratio of acoustical. NDT&E International, 44(1):13-20.
-Sambuelli.L.,Socco.L.V.,Godio.A.,Nicolotti.G and Martinis.R.2003.Ultrasonic, electric and radar measurements for living trees assessment, Bollettino di Geofisica Teorica ed Applicata, 44(3): 253-279.
- Sioma, A.2015. Assessment of wood surface defects based on 3D image analysis. Wood Research, 60(3):339–350.
- Sioma, A. and Socha, J.2016. Automation of annual tree increment measurement using vision system, Drewno, 59(196):19–30.
-Stängle, S. M., Brüchert, F., Kretschmer, U., Spiecker, H. and Sauter, U. H.2014.Clear wood content in standing trees predicted from branch scar measurements with terrestrial LiDAR and verified with X-ray computed tomography. Canadian Journal of Forest Research, 44(2):145– 153.
-Thomas, L., Milli, L., Thomas, R. E. and Shaffer, C. A. (2006) Defect detection on hardwood logs using laser scanning. Wood & Fiber Science, 38(4): 682–695.
-Torkaman,T., Vaziri,M., Sandberg,D and Mohammadi Limaei,S.2018. Relationship between branch-scar parameters and knot features of oriental beech (Fagus orientalis Libsky), Wood Material Science & Engineering. Article in Wood Material Science and Engineering · DOI: 10.1080/17480272.2018.1424731
-Torkaman,T., Vaziri,M., Sandberg,D and Mohammadi Limaei,S.2019. Comparison study in the clear wood estimation of the Beech tree trunk (Fagus orientalis Libsky), Iranian Journal of Wood and Paper Industries, 10(1):11-19 (In Persian).
-Wang, C., Zhao, Z., Hein, S., Zeng, J., Schuler, J., Guo, J., Guo, W. and Zeng, J.2015. Effect of planting density on knot attributes and branch occlusion of Betula alnoides under natural pruning in southern China. Forests,6:1343–1361.
- Zadfallh,M., Naghdi,R.,Torkaman,J., Roohnia,M., Hedayati- Ayandeh,M.2021. Evaluation of the internal decay of the oak tree ( Quercus castaneifolia ) via the non - destructive test of the acoustic tomography, Iranian Journal of Wood and Paper Industries, 12(1):163-173(In Persian)