Zeyan Wang

Papers

Total Citations

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About

Zeyan Wang is a pioneering researcher at the intersection of digital twin technology, additive manufacturing, and intelligent agricultural systems. His work addresses critical challenges in modern agricultural manufacturing, including low automation levels, safety hazards in high-temperature processing, and insufficient production data integration. Wang's most cited paper, "Digital Twin-Driven Sorting System for 3D Printing Farm" (2025), introduces a groundbreaking framework that synchronizes real-time virtual and physical environments to enhance efficiency and safety in 3D printing farms. This research has already garnered 2 citations, reflecting its emerging impact on the field. By leveraging digital twins to optimize sorting processes, Wang provides a scalable solution for smart agriculture, bridging the gap between Industry 4.0 technologies and sustainable food production. His contributions are particularly notable for their practical applicability, offering a pathway to safer, more automated, and data-driven agricultural manufacturing. As a forward-thinking innovator, Zeyan Wang continues to shape the future of intelligent farming, making his work essential reading for researchers and students exploring the convergence of digital twins, 3D printing, and agricultural automation.