Dr. Huan Song | Food Security | Best Researcher Award

North China University of Water Resources and Electric Power | China

Dr. Huan Song serves as a Lecturer at the North China University of Water Resources and Electric Power, China, where he contributes actively to academic research and teaching in environmental and hydrological sciences. His research focuses on water resource management, hydraulic engineering, and sustainable development in urban and rural ecosystems. Dr. Song has authored 26 scientific documents, reflecting his consistent engagement in multidisciplinary projects addressing the interaction between human activities and aquatic environments. His publications have earned 315 citations, demonstrating the visibility and scholarly influence of his work within the scientific community. With an H-index of 10, Dr. Song’s research performance indicates both productivity and impact across his peer-reviewed contributions. His studies integrate advanced data analysis, modeling, and field experimentation to tackle key challenges in water conservation and environmental protection. In addition to his research, Dr. Song is dedicated to mentoring students and fostering collaborations aimed at achieving sustainable solutions for regional water issues. His academic journey exemplifies a balance between rigorous research and applied science, contributing meaningfully to the understanding of hydrological processes and sustainable engineering practices.

Profile: Orcid

Featured Publications

Song, H. (2023). Detecting emerging frost crystals on leaf surfaces using microscopic imaging. Computers and Electronics in Agriculture, 213, 107931.

Song, H., & Hu, Y. (2023). A predictive model of frost formation on leaf surface and estimation of frost amount. Case Studies in Thermal Engineering, 42, 102789.

Song, H., Hu, Y., Lu, Y., Wang, J., & Li, P. (2021). A review of methods and techniques for detecting frost on plant surfaces. Agriculture, 11(11), 1142.

Song, H., Hu, Y., Lu, Y., Wang, W., & Li, X. (2019, July 7–10). Adaptive lifting performance verification based on the model of cotton top-cutting machine. In Proceedings of the 2019 ASABE Annual International Meeting (Paper No. AIM.201900153). American Society of Agricultural and Biological Engineers.

Huan Song | Food Security | Best Researcher Award

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