Mingxin Guo

Papers

1

Total Citations

8

H-Index

1

About

Mingxin Guo is a researcher specializing in mechanical systems dynamics, with a particular focus on modeling and predicting the behavior of parameter-varying structures. Their most significant contribution to date is the development of a generalized receptance coupling substructure analysis method, which enables accurate modeling and prediction of frequency response functions in mechanical systems whose properties change over time or operating conditions. This work, published in 2023, has already garnered 8 citations, signaling its growing influence in the field of structural dynamics and vibration analysis. Guo’s approach offers a powerful tool for engineers and researchers working on adaptive structures, robotics, and precision machinery, where understanding how system parameters affect dynamic responses is critical. By advancing substructuring techniques, Guo has provided a more efficient and flexible framework for analyzing complex mechanical assemblies without the need for full-system testing. This work holds promise for applications in aerospace, automotive, and manufacturing industries, where parameter variations due to wear, temperature, or load changes must be accounted for in design and control. Guo’s research continues to bridge theoretical modeling with practical engineering challenges.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
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: 11

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago