Cui Xinjie | Properties and Performance | Research Excellence Award
Dr. Cui Xinjie at Northeast Forestry University | China
Dr. Cui Xinjie is a researcher and educator specializing in wood science, with a strong academic background and extensive hands-on experience in wood anatomy, wood identification, wood modification, and archaeological wood preservation. She received her Ph.D. in Wood Science from Kyushu University, Japan, where her doctoral work focused on the natural weathering behavior and weatherproof treatment strategies for Cunninghamia lanceolata, producing influential SCI-indexed publications in Forests. She previously earned her M.Sc. in Wood Science and Technology from Southwest Forestry University, where she conducted pioneering research on species identification and decay classification of wooden remains from the Haimenkou archaeological site. Notably, the four-level decay grading standard she developed has been widely adopted by scholars working on archaeological wood. Dr. Cui has demonstrated exceptional technical proficiency in wood anatomy, completing the identification of 96 wood samples during her masterโs studies and preparing over 3,000 permanent microscopic sections for archaeological research, facilitating high-quality analyses of ancient wooden artifacts. Since joining Beihua University, she has served as Secretary for Discipline and Scientific Research and currently leads the Wood Science and Engineering Program while supervising graduate students. She teaches core courses such as Wood Science, Scientific Paper Writing, and Wood Physics and Chemistry, contributing significantly to curriculum development and pedagogical innovation. Her academic contributions also include co-authoring chapters in a major volume on conservation technologies for wooden cultural relics from the Haimenkou site and presenting her research at international and national conferences in China, Japan, and beyond. Dr. Cui has led multiple teaching reform projects at Beihua University and has been recognized with honors such as the National Scholarship and Outstanding Thesis Awards. Her work bridges fundamental wood science, material behavior, and cultural heritage preservation, positioning her as a rising expert committed to advancing sustainable wood research and education.
Profile:ย Scopus ย
Featured Publicationsย
Cui, X. J., & Matsumura, J. (2020). Weathering behaviour of Cunninghamia lanceolata (Lamb.) Hook. under natural conditions. Forests, 11(12), 1236.
Cui, X. J., & Matsumura, J. (2019). Wood surface changes of heat-treated Cunninghamia lanceolata following natural weathering. Forests, 10(9), 791.
Cui, X., Qiu, J., & Gao, J. (2016). Using fluorescence polarizing techniques to determine decay grades and reinforcement degrees of ancient wood. Cultural Relics Conservation and Archaeological Science, 28(4).
Cui, X., Qiu, J., & Yang, Y. (2015). Comparative anatomical analysis of Phoebe zhennan and P. puwenensis wood. Journal of Southwest Forestry University, 35(3).
Cui, X. (2023). Research and application of key technologies for the conservation of wooden cultural relics from the Haimenkou site (Chapters 2โ3). In Qiu, J. (Ed.), Key Technologies for Wooden Cultural Relics Conservation.
ย Education & Experienceย
ย Professional Development
ย Research Focusย
ย Awards & Honorsย
ย is a distinguished researcher and educator specializing in engineering mechanics and 

ย AVIC Chengdu Aircraft Industrial (Group) CO., Ltd., Chengdu, China (2023/02โ2024/05)
ย His innovative approaches have advanced the understanding of composites, including needled composites, their structural design, and thermal optimization using AI techniques.ย
ย With over eight high-impact publications in prestigious journals and a solid academic foundation, Dr. Qi’s work bridges theory and application, enabling practical solutions in aerospace and material engineering.ย
ย His contributions to academia and industry highlight his dedication to fostering progress in mechanical engineering and composites.ย 


ย He also exploresย machine learning applicationsย in materials engineering, such as designing thermal cloaks with isotropic materials and optimizing composite structures.ย
ย His work integrates traditional engineering principles with cutting-edge AI methods to enhance the performance, reliability, and efficiency of advanced materials, significantly contributing to aerospace and 

ย Recognized as “Outstanding Young Researcher” by Harbin Institute of Technology, 2020.
ย Recipient of the National Doctoral Research Fellowship, China, 2018โ2021.
ย Excellence in Innovation Award for Machine Learning Applications in Engineering, 2023.