Dr. YujieLiu at Yinglin Branch Yunnan Institute of Forest Inventory and Planning, China
Liu Yujie, born in November 1992 in Wuxi, Jiangsu, is a dedicated researcher in forestry and entomology. A member of the Communist Party of China, he specializes in forestry quantitative remote sensing and pest control. With a strong academic background and extensive research experience, he has contributed significantly to understanding forest health and pest management. His work combines theoretical expertise with practical applications, aiding in environmental conservation efforts. He has served in both research and administrative roles, demonstrating a well-rounded career in forestry and agricultural policy. His contributions have been recognized in multiple scientific publications.
Publication Profile
Scopus
Academic Background
Liu Yujie pursued his undergraduate studies at Nanjing Forestry University (2011-2015), specializing in Forestry. He then continued his postgraduate education at Beijing Forestry University (2015-2022), where he enrolled in a combined Master’s and Doctoral program in Forest Protection under the guidance of Professor Luo Youqing. His academic journey focused on forestry quantitative remote sensing, entomology, and integrated pest control. His studies have provided him with in-depth knowledge of forest ecosystems, pest behavior, and advanced remote sensing techniques, equipping him to address critical challenges in forestry conservation and management.
Professional Background
Liu Yujie has gained extensive experience in both research and administrative roles. From October 2022 to January 2024, he worked at the Ningbo Haishu District Agriculture and Rural Bureau Office, focusing on agricultural comprehensive management and policy implementation. Following this, from January 2024 to July 2024, he served in the Ningbo Haishu District People’s Government Office, handling secretarial and governmental administrative duties. His experience bridges scientific research with practical policy applications, allowing him to contribute to forestry conservation, pest control strategies, and environmental sustainability. His career reflects a blend of academic excellence and hands-on governance experience.
Awards and Honors
Liu Yujie has received several accolades for his contributions to forestry research and pest control strategies. His studies on forest health assessment, remote sensing, and pest management have been published in high-impact journals such as the Chinese Journal of Applied Entomology and the Journal of Environmental Entomology. He has been recognized for his innovative approaches in pine wood nematode disease control, ash borer prevention, and volatile compound analysis in forestry. His work has earned him recognition in forestry research communities, establishing him as a promising researcher in forest protection and quantitative remote sensing applications.
Research Focus
Liu Yujie specializes in forestry quantitative remote sensing, pest management, and entomology. His research explores forest health monitoring using advanced remote sensing technologies and develops effective pest control strategies for protecting forest ecosystems. His studies on pine wood nematode disease, insect behavior, and chemical ecology contribute to sustainable forestry management. His work integrates data-driven approaches with field experiments, enhancing early detection and mitigation of forest pest outbreaks. By combining innovative technologies with traditional forestry principles, he aims to improve forest conservation efforts and address ecological challenges posed by invasive pests.
Publication Top Notes
📖 Acoustic detection of the wood borer, Semanotus bifasciatus, as an early monitoring technology
Year: 2022 📅 | Cited by: 5 🔍 | Journal: Pest Management Science
Conclusion
Liu Yujie is a highly qualified researcher specializing in forestry quantitative remote sensing, pest control, and entomology, with a Master’s and PhD from Beijing Forestry University. His strong academic background, impactful research publications (CSCD, CSSCI indexed), and practical experience in both scientific studies and governmental roles make him a well-rounded candidate for the Best Researcher Award. His work on forest health assessment, pest monitoring, and remote sensing applications has significant relevance to contemporary environmental challenges. While some administrative responsibilities may have momentarily shifted his research focus, his contributions to forestry science, innovative research, and policy applications solidify his strong candidacy for this prestigious award.