Changfeng Fu

Northeast Petroleum University

Papers

1

Total Citations

14

H-Index

1

About

Changfeng Fu is a researcher whose work sits at the intersection of robotics, sensor networks, and acoustic signal processing. His most-cited paper, "Design and Implementation of Sound Searching Robots in Wireless Sensor Networks" (2016, 14 citations), introduces a pioneering robotic system that integrates a 4-channel microphone array for sound collection with a magneto-resistive sensor for declination measurement, all coordinated through a wireless sensor network (WSN). This system enables autonomous sound source localization and tracking, embedding real-time signal enhancement, recognition, and localization algorithms directly into the robot's architecture. Fu's contribution lies in bridging the gap between distributed sensing and mobile robotics, creating a platform that can intelligently navigate toward acoustic targets—a capability with applications in search-and-rescue, surveillance, and environmental monitoring. By combining hardware design with embedded software for sound processing, his work demonstrates a practical, scalable approach to deploying autonomous acoustic search agents in wireless environments. Though his citation count reflects a focused niche, the interdisciplinary nature of his research—merging acoustics, robotics, and networked systems—marks him as a contributor to the growing field of intelligent sensor-driven autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Design and Implementation of Sound Searching Robots in Wireless Sensor Networks
14 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Northeast Petroleum University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago