Weihua Yang

Taiyuan University of Technology

Papers

1

Total Citations

11

H-Index

1

About

Weihua Yang is a researcher specializing in wireless network optimization, mobile charging systems, and energy-efficient networking for autonomous systems. His work sits at the intersection of operations research and emerging network technologies, with a particular focus on solving complex optimization problems that arise in next-generation mobile and IoT environments. Yang's most notable contribution centers on charging path optimization in mobile networks, where he has pioneered frameworks for dispatching mobile chargers to deliver energy to autonomous agents such as robots, drones, and vehicles. This work addresses a critical bottleneck in real-world deployment of autonomous systems — ensuring continuous, efficient energy replenishment without disrupting mission-critical tasks. By formulating these challenges as rigorous optimization problems and developing practical algorithmic solutions, Yang has helped bridge the gap between theoretical network design and deployable autonomous system infrastructure. With his 2022 paper accumulating 11 citations within a short period, his research is gaining traction within the networking and robotics communities. His contributions are particularly relevant to researchers working on drone delivery systems, autonomous vehicle coordination, and wireless power transfer, making his work increasingly impactful as these technologies move toward mainstream adoption.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Charging Path Optimization in Mobile Networks
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Taiyuan University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago