Papers

1

Total Citations

3

H-Index

1

About

Dr. Lianyi Liu is a pioneering researcher in applied mathematics and industrial forecasting, with a focus on grey system theory and its optimization for real-world economic and engineering challenges. His most notable contribution is the development of an optimized reverse Hausdorff fractional discrete grey power model, a sophisticated analytical tool that enhances the accuracy of predictions in complex, data-sparse environments. In his landmark 2024 paper, "Prediction of servo industry development in China by an optimized reverse Hausdorff fractional discrete grey power model," Dr. Liu demonstrates the model's practical utility by forecasting growth trends in China’s servo industry—a critical sector for automation and robotics. This work, which has already garnered 3 citations, exemplifies his ability to bridge theoretical innovation with actionable insights for policymakers and industry leaders. Dr. Liu’s research is distinguished by its rigorous mathematical foundation and its direct applicability to strategic planning in emerging technologies. His ongoing efforts to refine fractional-order grey models continue to influence fields ranging from energy economics to manufacturing, positioning him as a key figure in advancing predictive analytics for sustainable industrial development.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Prediction of servo industry development in China by an optimized reverse Hausdorff fractional discrete grey power model
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Nanjing University of Aeronautics and Astronautics

Top Papers

  1. 1

Key Collaborators

Contact & Links

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