Jin Xiang

Xidian University

Papers

1

Total Citations

43

H-Index

1

About

Jin Xiang is a rising researcher in the fields of wireless power transfer and intelligent electromagnetic surfaces. His work focuses on developing adaptive, battery-free systems that seamlessly integrate energy delivery with sensing and communication. Xiang’s most-cited paper, “Adaptive wireless-powered network based on CNN near-field positioning by a dual-band metasurface” (2024, 43 citations), introduces a novel approach that combines a dual-band metasurface with convolutional neural network-based positioning. This innovation enables non-contact, targeted power delivery to moving terminals, paving the way for truly autonomous, maintenance-free electronic devices in industrial and IoT settings. By merging machine learning with advanced metamaterial design, Xiang addresses the critical challenge of powering mobile sensors without batteries. His contributions are particularly notable for their potential to revolutionize wireless networks in smart factories and environmental monitoring. With his work already garnering early recognition, Jin Xiang is establishing himself as a key voice in the next generation of wireless energy and intelligent surface technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
43
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive wireless-powered network based on CNN near-field positioning by a dual-band metasurface
43 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Xidian University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago