Papers

6

Total Citations

286

H-Index

4

About

Dr. Zhaozong Meng is a leading researcher at the intersection of the Industrial Internet of Things (IIoT), precise indoor localization, and advanced optical metrology. His work is foundational to enabling smarter, more connected industrial systems. Dr. Meng’s highly cited review on RFID positioning techniques (98 citations) has become a key reference for researchers, synthesizing the principles and recent progress in this critical IIoT enabler. He is also widely recognized for his pioneering work on machine-to-machine (M2M) communication, where his data-oriented messaging mechanism (111 citations) provides a flexible framework for integrating sensors, actuators, and robots in industrial applications. In the domain of wearable technology, Dr. Meng developed a cost-effective system that fuses Ultra-Wideband (UWB) and Inertial Measurement Unit (IMU) data for robust indoor localization and motion analysis (57 citations), a solution with direct applications in healthcare and robotics. More recently, he has advanced the field of precision metrology, developing novel robotic deflectometry techniques for measuring the form of specular surfaces, a critical challenge for the automotive and aerospace industries. With over 280 total citations, Dr. Meng’s work continues to drive innovation in both connectivity and sensing for the next generation of intelligent systems.

Research Focus

Key Achievements

4
H-Index
6
Papers
286
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
A Data-Oriented M2M Messaging Mechanism for Industrial IoT Applications
111 citations · 2016
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: University of Manchester, Hebei University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago