Ying Han

Papers

Total Citations

H-Index

About

Ying Han is a researcher whose work bridges precision agriculture and advanced energy harvesting technologies. In agricultural engineering, Han developed a visual identification method for apple growth forms in orchards, a contribution that has garnered 43 citations and offers practical solutions for automated crop monitoring. More recently, Han has made significant strides in wearable technology, co-authoring a 2024 study on enhancing structural response through macro-micro hierarchy for piezoelectric nanogenerators. This work, with 30 citations, introduces a self-powered wearable controller, demonstrating how hierarchical material design can improve energy harvesting efficiency. Han’s research is notable for its interdisciplinary impact—combining computer vision with materials science to address real-world challenges in farming and human-machine interaction. By achieving over 70 citations across these key papers, Han has established a reputation for producing applied, high-impact work that resonates with both agricultural and engineering communities. Their contributions highlight a commitment to developing scalable, sustainable technologies, from orchard management to next-generation wearable devices.