Papers

2

Total Citations

62

H-Index

2

About

Siying Yang is a researcher whose work sits at the compelling intersection of labor economics, workplace safety, and automation technology. Yang has carved out a distinctive niche examining the nuanced relationship between industrial robotics and occupational health outcomes — a question of growing urgency as automation transforms workplaces worldwide. Yang's most influential contribution, "Robot application and occupational injuries: Are robots necessarily safer?" (2021), challenges the intuitive assumption that introducing robots into industrial environments automatically improves worker safety. With 53 citations, this work has sparked meaningful scholarly conversation about the complex and sometimes counterintuitive consequences of automation for human workers. Building on this foundation, Yang's 2022 follow-up, "Does occupational injury promote industrial robot applications?", flips the causal lens entirely, investigating whether workplaces with higher injury rates are actually *driven* to adopt robotics as a protective response — an innovative reverse-causality perspective that adds theoretical depth to the field. Together, these papers establish Yang as a thought-provoking voice in industrial safety and technological adoption research, offering policymakers and organizations critical evidence for making informed decisions about automation's role in protecting — or potentially endangering — the modern workforce.

Research Focus

Key Achievements

2
H-Index
2
Papers
62
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Robot application and occupational injuries: Are robots necessarily safer?
53 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Jilin University of Finance and Economics, Jilin University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago