Bingrong Miao

Papers

Total Citations

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About

Bingrong Miao is a leading researcher in the field of intelligent railway infrastructure maintenance, with a primary focus on high-speed train rail damage detection and fault diagnosis. Their work addresses a critical challenge in modern transportation: ensuring the safety and reliability of high-speed railway networks through advanced automated inspection technologies. Miao’s most cited paper, “Review on Rail Damage Detection Technologies for High-Speed Trains” (2025, 14 citations), provides a comprehensive synthesis of recent advancements in rail damage detection, systematically categorizing damage types and evaluating emerging inspection methods from an intelligent operation and maintenance perspective. Building on this foundation, their second highly cited work, “A Novel Rail Damage Fault Detection Method for High-Speed Railway” (2025, 7 citations), introduces an innovative rail inspection robot design paired with a novel fault detection algorithm, offering a practical solution for real-time, automated track monitoring. Together, these contributions establish Miao as a key voice in the transition toward data-driven, robotic-assisted railway maintenance. Their research not only advances academic understanding but also holds significant promise for improving safety protocols and reducing operational costs in high-speed rail systems worldwide.