Fagen Fang

Papers

Total Citations

H-Index

About

Dr. Fagen Fang is a dedicated researcher in railway signaling and automation, with a focused expertise in the testing and verification of Communication-Based Train Control (CBTC) systems. His major contribution lies in addressing critical inefficiencies in manual testing processes, which often suffer from low quality, long cycles, and high costs. In his most cited work, "Research on Automated Testing Method of Railway Signaling System" (2020), Fang proposed an innovative automated testing framework based on the Robot Framework. Using the temporary speed restriction initialization scenario as a case study, he demonstrated how automation can streamline the entire testing lifecycle—from scenario requirement analysis to execution—significantly improving reliability and efficiency in railway operations. Though his citation count is currently modest, his work represents a practical and impactful step toward modernizing safety-critical system validation. Fang’s research is particularly valuable for engineers and researchers seeking to integrate automated testing into complex signaling environments, offering a scalable solution that reduces human error and accelerates deployment. His contributions underscore a commitment to enhancing the safety and performance of urban rail transit systems.