Papers

1

Total Citations

4

H-Index

1

About

Li Siyao’s research lies at the intersection of labor economics and technological transformation, with a sharp focus on how industrial intelligence—particularly artificial intelligence—reshapes employment dynamics in China. Her most-cited work, “How can industrial intelligence change the employment structure of the floating population?” (2024, 4 citations), offers a timely and granular analysis of how AI-driven automation alters labor market opportunities for China’s vast migrant workforce. By disentangling the internal mechanisms through which AI influences job composition, she provides critical insights into the erosion of the demographic dividend and the structural shifts facing millions of workers. This contribution is especially valuable for policymakers and scholars grappling with the social consequences of rapid automation. Li’s work stands out for its empirical rigor and its focus on a vulnerable, often-overlooked population, making her a key voice in debates on inclusive technological progress. Her research not only documents change but also illuminates pathways for adaptation in an era of intelligent industry.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
How can industrial intelligence change the employment structure of the floating population?
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Capital University of Economics and Business

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago