Papers

6

Total Citations

288

H-Index

4

About

Dr. Jiangchuan Liu is a leading researcher at the intersection of the Internet of Things (IoT), robotics, and intelligent sensing, whose work has profoundly shaped how physical and digital systems interact. His most influential contribution, the 2019 survey on deep learning-empowered IoT applications (124 citations), provides a foundational roadmap for integrating artificial intelligence into billions of connected devices, establishing him as a key architect of the future Internet. Dr. Liu has also pioneered practical solutions for industrial automation, most notably through his work on accurate RFID-based tag localization using mobile robots (99 citations), which directly addresses critical challenges in warehousing, such as automatic item fetching and misplacement detection. Beyond these core areas, his research spans the detection of cheaters in multiplayer games (53 citations) and mobile sensor-assisted field coverage, demonstrating a versatile ability to solve complex problems from digital entertainment to environmental monitoring. A testament to his applied impact, Dr. Liu led the development of KeJia, the intelligent domestic robot that competed in RoboCup@Home 2015, showcasing his commitment to translating cutting-edge theory into tangible, real-world robotic systems.

Research Focus

Key Achievements

4
H-Index
6
Papers
288
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
A Survey on Deep Learning Empowered IoT Applications
124 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Simon Fraser University, University of Science and Technology of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago