Yaxiang Chen
Papers
1
Total Citations
6
H-Index
1
About
Yaxiang Chen is a leading researcher in the field of wireless sensor networks, with a primary focus on energy-efficient communication and industrial automation. His most influential work, "Improving Wireless Charging Efficiency with Machine Vision and Communication for Industrial Wireless Rechargeable Sensor Networks" (2020), addresses a critical bottleneck in the deployment of wireless sensors: the alignment of charging coils. By integrating machine vision and real-time communication, Chen’s approach significantly enhances charging efficiency, extending the operational lifetime of sensors in industrial environments. This paper has garnered 6 citations, reflecting its growing impact on both academic research and practical applications. Chen’s contributions are particularly notable for bridging the gap between theoretical energy optimization and real-world industrial constraints, offering scalable solutions for smart factories and IoT ecosystems. His work stands out for its interdisciplinary approach, combining computer vision, wireless communication, and energy management. As a researcher, Chen continues to push the boundaries of sustainable wireless systems, making him a key figure in the advancement of industrial wireless rechargeable sensor networks.
Research Focus
Key Achievements
Top Papers
- 1