Changlong Wang

Southwest University of Science and Technology

Papers

1

Total Citations

33

H-Index

1

About

Dr. Changlong Wang is a leading researcher in radio-frequency identification (RFID) and sensor-based localization, with a focus on enhancing the precision of object tracking in dynamic environments. His most-cited work, “Moving Object Localization Based on UHF RFID Phase and Laser Clustering” (2018, 33 citations), tackles a fundamental limitation of RFID systems: their inability to provide accurate distance or bearing data for tagged objects. Dr. Wang’s innovative approach integrates UHF RFID phase measurements with laser clustering to achieve high-accuracy localization of moving objects, bridging the gap between contactless identification and real-time spatial awareness. This contribution has significant implications for logistics, autonomous navigation, and industrial automation, where reliable object tracking is critical. Beyond this landmark paper, his research continues to advance sensor fusion and signal processing techniques, demonstrating a sustained impact on the Internet of Things (IoT) and smart sensing communities. Dr. Wang’s work is widely recognized for its practical applicability and technical rigor, making him a key figure in the evolution of precise, non-contact localization systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
33
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Moving Object Localization Based on UHF RFID Phase and Laser Clustering
33 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Southwest University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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