Yongchao Niu

Papers

Total Citations

H-Index

About

Yongchao Niu is a researcher whose work bridges sustainable design and intelligent visual recognition, demonstrating a commitment to both theoretical frameworks and practical engineering solutions. His most cited paper, "Sustainable design from functional domain to physical domain" (2018), with 34 citations, introduces a systematic approach for translating sustainability requirements into tangible product features, offering a valuable methodology for eco-conscious engineers and designers. This contribution establishes a foundational link between abstract functional goals and concrete physical implementations, addressing a critical gap in sustainable product development. More recently, Niu has advanced the field of computer vision with his 2023 work on "Visual recognition and location algorithm based on optimized YOLOv3 detector and RGB depth camera," which has already garnered 19 citations. This research enhances real-time object detection and spatial localization, integrating deep learning with depth-sensing technology for applications in robotics and autonomous systems. By optimizing the YOLOv3 architecture, Niu provides a more efficient and accurate solution for visual tasks. His work reflects a dual expertise in sustainability and AI-driven perception, making him a versatile contributor to modern engineering challenges.