Xuanxia Yao

University of Science and Technology Beijing

Papers

Total Citations

H-Index

About

Dr. Xuanxia Yao is a leading researcher in edge computing and the Internet of Things (IoT), with a focus on optimizing industrial automation and security. Her most-cited work, "Efficient Edge Nodes Reconfiguration and Selection for the Internet of Things" (2019, 38 citations), addresses a critical challenge in modernizing the industrial sector: enabling local processing to meet stringent security and latency constraints. Dr. Yao’s major contribution lies in developing reconfiguration and selection strategies for edge nodes, ensuring that industrial processes—from autonomous systems to automation—can operate efficiently without relying on distant cloud servers. This work has significant implications for smart manufacturing and real-time IoT applications, where delays or data breaches are unacceptable. Her research bridges the gap between theoretical edge computing models and practical industrial deployment, earning recognition for its impact on secure, low-latency system design. With 38 citations and growing influence, Dr. Yao continues to shape the future of decentralized computing, making her a key figure for students and researchers exploring edge intelligence, IoT security, and resilient industrial networks.