Guo Leiyang

Northwestern Polytechnical University

Papers

1

Total Citations

15

H-Index

1

About

Guo Leiyang is a leading researcher in advanced composite manufacturing, with a primary focus on automated fiber placement (AFP) processes and their continuous improvement. His most-cited work, a 2025 review paper on AFP process evolution and future research prospects, has already garnered 15 citations, reflecting its timely impact on the field. Guo’s major contributions lie in systematically analyzing the progression of AFP technologies, identifying key challenges in defect reduction, layup optimization, and process automation, and outlining a roadmap for next-generation manufacturing. His research bridges the gap between current industrial practices and emerging innovations, offering actionable insights for both academia and industry. Notably, his work emphasizes the integration of real-time monitoring and adaptive control to enhance composite quality and production efficiency. Guo’s achievements include advancing the understanding of how continuous improvement methodologies can be applied to composite manufacturing, positioning him as a thought leader in this niche. For students and researchers, his publications serve as essential references for navigating the complexities of AFP and driving future breakthroughs in lightweight, high-strength material production.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Continuous Improvement in Composite Manufacturing: A Review of Automated Fiber Placement Process Evolution and Future Research Prospects
15 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Northwestern Polytechnical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago