Liqiang An
Papers
2
Total Citations
89
H-Index
2
About
Dr. Liqiang An is a leading researcher in the reliability engineering of flexible mechanisms, with a focus on integrating advanced computational intelligence into mechanical design. His primary research areas include motion reliability evaluation, transient reliability analysis, and the development of intelligent network learning models for complex mechanical systems. Dr. An’s most impactful contribution is his pioneering work on enhancing network learning models for reliability assessment, as demonstrated in his highly cited 2020 paper (82 citations), which introduced an intelligent operator-based approach to significantly improve the accuracy and efficiency of motion reliability evaluations for flexible mechanisms. He further advanced the field with his GA-Extremum Neural Network (GA-ENN) model, which combines genetic algorithms with neural networks to provide a robust analytical framework for transient reliability under operational conditions. This work has been recognized for its practical value in directly enhancing reliability evaluation processes. With a growing citation record, Dr. An’s research is shaping the future of smart, data-driven reliability analysis in mechanical engineering, offering powerful tools for designing safer and more durable flexible systems.
Research Focus
Key Achievements
Top Papers
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