Yafei Hou

Okayama University

Papers

2

Total Citations

22

H-Index

2

About

Yafei Hou is a leading researcher in indoor localization and wireless communication systems, with a focus on innovative signal processing techniques for next-generation networks. Their primary research areas include received signal strength indicator (RSSI)-based localization, time-of-arrival (TOA) estimation, and the use of leaky coaxial cables for precise indoor positioning. Hou’s most notable contribution is the development of a two-dimensional RSSI-based indoor localization method using multiple leaky coaxial cables with a probabilistic neural network, which has garnered 19 citations since 2022. This work addresses critical challenges in 5G and future communication technologies, offering irreplaceable advantages for location-aware applications. Additionally, Hou has advanced simultaneous TOA estimation for multiple users, a key enabler for IoT devices in healthcare, manufacturing automation, and robotics. With a growing citation record, Hou’s research is shaping the future of indoor localization, providing robust, scalable solutions for complex environments. Their work stands out for its practical impact on smart device integration and real-time positioning, making Yafei Hou a vital contributor to the evolution of wireless communication and IoT technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
22
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Two-Dimensional RSSI-Based Indoor Localization Using Multiple Leaky Coaxial Cables With a Probabilistic Neural Network
19 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Okayama University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago