Papers

2

Total Citations

13

H-Index

2

About

Jimiao Xu is a rising scholar in mechanical engineering, specializing in the dynamic modeling of parameter-varying systems and precision on-machine measurement technologies. Their most-cited work, "Modeling and prediction for frequency response functions of parameter-varying mechanical systems based on generalized receptance coupling substructure analysis" (2023, 8 citations), introduces a novel framework that extends receptance coupling substructure analysis to systems with changing parameters, enabling more accurate prediction of dynamic behavior in complex mechanical assemblies. This contribution is critical for improving vibration control and structural health monitoring in adaptive machinery. Xu’s subsequent research, "Rotation scanning and double precision system for three-dimensional geometric on-machine measurement" (2025, 5 citations), advances high-accuracy metrology by integrating rotation scanning with dual-precision mechanisms, reducing measurement errors in real-time manufacturing environments. Although early in their career, Xu’s work bridges theoretical substructure analysis and practical measurement systems, offering tools for next-generation smart manufacturing. Their publications reflect a commitment to solving real-world engineering challenges, with potential applications in aerospace and robotics. As Xu continues to develop these methods, their research promises to enhance both the reliability and precision of mechanical systems operating under variable conditions.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and prediction for frequency response functions of parameter-varying mechanical systems based on generalized receptance coupling substructure analysis
8 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: China Aerospace Science and Technology Corporation

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago