Wenjie Duan

Hebei University of Science and Technology

Papers

Total Citations

H-Index

About

Wenjie Duan is a researcher at the forefront of intelligent security systems, with a primary focus on computer vision and biometric recognition technologies. His most-cited work, "A New Face Recognition Method for Intelligent Security" (2020), has garnered 18 citations for addressing a critical challenge in the field: the trade-off between recognition speed and accuracy in AI-driven security robots. Duan’s contribution lies in developing algorithms that significantly reduce recognition time while maintaining high precision, thereby enhancing the practical deployment of intelligent surveillance systems. This work is particularly notable for its application in real-time security environments, where efficiency is paramount. Beyond this flagship paper, Duan’s research portfolio spans machine learning optimization and pattern recognition, with implications for smart city infrastructure and autonomous monitoring. His achievements underscore a commitment to bridging theoretical advances with tangible, industry-relevant solutions—making his work a valuable reference for students and researchers exploring the intersection of AI, security, and human-computer interaction.