Wood Science and Technology

Papers
(The H4-Index of Wood Science and Technology is 19. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Chemical functional groups of extractives, cellulose and lignin extracted from native Leucaena leucocephala bark239
Bamboo node effect on the tensile properties of side press-laminated bamboo lumber33
Design of wood-derived anisotropic structural carbon electrode for high-performance supercapacitor30
Porous wood-carbonized solar steam evaporator30
Recent advances in the application of deep learning methods to forestry30
Modelling full-culm bamboo as a naturally varying functionally graded material30
Assessment of the effectiveness of liquid hot water and steam explosion pretreatments of fast-growing poplar (Populus trichocarpa) wood30
Understanding the local structure of disordered carbons from cellulose and lignin29
Self-assembly of poly(styrene-methyl methacrylate-acrylic acid) (P(St-MMA-AA)) colloidal microspheres on wood surface by thermal-assisted gravity deposition25
Potentials of silicate-based formulations for wood protection and improvement of mechanical properties: A review25
A flame-retardant densified wood as robust and fire-safe structural material25
Combining mercury intrusion porosimetry and fractal theory to determine the porous characteristics of wood24
Edge-glued wooden panel defect detection using deep learning23
The effect of the drying method on the cell wall structure and sorption properties of waterlogged archaeological wood23
Isolation and sulfation of galactoglucomannan from larch wood (Larix sibirica)23
Hydrothermal hydrolysis of microcrystalline cellulose from birch wood catalyzed by Al2O3-B2O3 mixed oxides22
Particleboard bio-adhesive by glyoxalated lignin and oxidized dialdehyde starch crosslinked by urea22
Wood identification based on longitudinal section images by using deep learning21
Moisture sorption isotherms and hysteresis of cellulose, hemicelluloses and lignin isolated from birch wood and their effects on wood hygroscopicity20
A highly transparent compressed wood prepared by cell wall densification19
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