Wenli Li

Papers

Total Citations

H-Index

About

Wenli Li is a leading researcher in intelligent healthcare systems, focusing on the intersection of cybersecurity, robotics, and predictive analytics for nursing homes. Her work addresses critical challenges in aging populations by developing AI-driven solutions that enhance safety and efficiency in care environments. Li’s most impactful contribution is the NIDD model (14 citations), an intelligent network intrusion detection system designed to protect IoT-enabled nursing homes from cyber threats like Brute Force attacks and botnets. This work is pivotal for securing sensitive health data transmitted between terminals and cloud servers. She further advanced assistive robotics with the Fidan model (6 citations), a predictive service demand framework that enables healthcare robots to anticipate and respond to dynamic patient needs, moving beyond rigid task execution. By integrating machine learning, big data, and cloud computing, Li’s research directly improves operational resilience and patient care quality in resource-constrained settings. Her notable achievements include pioneering the application of cybersecurity protocols in geriatric care and developing adaptive robotic systems that reduce nursing staff workloads. With growing citation impact, Wenli Li’s work continues to shape the future of safe, intelligent, and responsive healthcare environments for the elderly.