Papers
3
Total Citations
53
H-Index
3
About
Xinwei Yue is a pioneering researcher at the intersection of wireless communications, IoT systems, and intelligent sensing technologies. His work primarily focuses on energy-efficient network architectures, non-orthogonal multiple access (NOMA) for next-generation networks, and flexible sensor design for human-machine interaction. Yue’s most impactful contribution is his 2019 study on UAV swarms for wireless power transfer in heterogeneous IoT systems (29 citations), where he demonstrated how flying robot swarms can intelligently energize energy-constrained IoT transmitters—a breakthrough for sustainable IoT deployments. He further advanced remote healthcare with his 2021 framework integrating communication, control, and computing (3C) in NOMA-enabled e-health systems (16 citations), addressing ultra-reliable low-latency requirements for 5GB networks. Most recently, his 2023 work on flexible sensors with negative Poisson’s ratio characteristics (8 citations) showcases his versatility, achieving unprecedented sensitivity and sensing range for applications in robot control and medical detection. With a growing citation footprint, Yue’s cross-disciplinary contributions are shaping the future of energy-autonomous IoT, intelligent healthcare, and human-centric sensing technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Integrated 3C in NOMA-Enabled Remote-E-Health Systems16 citations · 2021
- 3