Papers

2

Total Citations

95

H-Index

2

About

Yutuo Yang is a leading researcher in industrial wireless networks and intelligent automation systems, with a particular focus on enabling reliable, real-time communication for digital factories. His most influential work centers on the WIA-FA standard—a wireless network solution for factory automation that ensures timely and deterministic data exchange among industrial components. His comprehensive survey on this International Electrotechnical Commission (IEC) standard has garnered 93 citations, underscoring its significance as a foundational reference for both academia and industry. Yang’s contributions directly address the critical challenge of integrating wireless control into harsh manufacturing environments, paving the way for more flexible and efficient production lines. More recently, he has expanded into underwater robotics, applying deep aggregation networks with deformation convolution to detect marine cultural targets—a novel approach that tackles the complex imaging conditions of deep-sea archaeology. This work demonstrates his versatility in adapting advanced deep learning techniques to real-world, domain-specific problems. Through his research, Yang has established himself as a key figure bridging wireless communication standards and intelligent robotic perception, with lasting impact on both industrial automation and underwater exploration.

Research Focus

Key Achievements

2
H-Index
2
Papers
95
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
WIA-FA and Its Applications to Digital Factory: A Wireless Network Solution for Factory Automation
93 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Allwinner Technology (China), Shenyang Institute of Automation

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago