Anjie Gao

Papers

Total Citations

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About

Anjie Gao is a researcher focused on advancing the reliability and safety of power transmission systems, with a particular emphasis on intelligent robotics and high-voltage inspection technologies. Her most-cited work, "Study of Intelligent Robot for Insulators Based on Electric Field Method" (2017), addresses critical challenges in live-line maintenance by designing a robotic system capable of detecting insulator string defects in overhead transmission lines. This contribution is foundational to the development of autonomous inspection tools that reduce human risk and improve grid resilience. While her citation count is currently modest, Gao’s research targets a vital niche in power engineering—combining robotics, electric field analysis, and insulator diagnostics. Her work is especially relevant for students and engineers exploring smart grid maintenance, as it bridges theoretical modeling with practical robotic applications. Gao’s focus on solving real-world operational hazards positions her as an emerging voice in the field of intelligent power infrastructure, where her innovations hold promise for safer, more efficient energy delivery systems.