Yichuan Deng
Papers
1
Total Citations
3
H-Index
1
About
Yichuan Deng is a rising researcher at the forefront of construction informatics, with a focused interest in human-centric automation and intelligent site monitoring. His work bridges computer vision and occupational safety, aiming to transform construction sites into safer, more responsive environments. Deng’s most-cited paper, “Towards worker-centric construction scene understanding: Status quo and future directions” (2025), has already garnered 3 citations, signaling early impact in a niche yet critical domain. In this work, he systematically reviews and redefines how scene understanding technologies—such as pose estimation, activity recognition, and hazard detection—can be designed around workers’ needs rather than purely operational efficiency. By synthesizing current methods and outlining a future roadmap, Deng provides a foundational framework for researchers and practitioners seeking to integrate AI-driven safety systems on site. His contribution lies in shifting the discourse from technology-centered to worker-centered approaches, emphasizing ethical deployment and real-time risk mitigation. As his citation count grows, Deng is establishing himself as a thoughtful voice in construction robotics and human–machine collaboration, making his work essential reading for those exploring the intersection of deep learning and built environment safety.
Research Focus
Key Achievements
Top Papers
- 1