Papers

27

Total Citations

767

H-Index

12

About

Yinong Chen is a pioneering computer scientist whose research sits at the dynamic intersection of cloud computing, service-oriented architecture, and robotics. Best known for conceptualizing and advancing the "Robot as a Service" (RaaS) paradigm, Chen has fundamentally transformed how robotics applications are designed, deployed, and accessed, positioning cloud-connected robots as scalable utility services analogous to modern computing infrastructure. His landmark 2010 paper introducing RaaS has accumulated over 200 citations, while his subsequent explorations of the Internet of Intelligent Things and Robot Cloud frameworks have further cemented his influence in distributed robotics computing. Beyond theoretical contributions, Chen has demonstrated a strong commitment to practical impact. His fog computing model for assisting visually impaired individuals and his guide-dog robot research showcase his dedication to socially meaningful applications of AI and robotics. His development of VIPLE — a visual programming environment for IoT and robotics education at Arizona State University — reflects an equally impressive dedication to democratizing access to these technologies for the next generation of engineers and computer scientists. With a body of work spanning foundational architecture, assistive technology, and computing education, Chen's research continues to shape how humanity integrates intelligent machines into everyday life.

Research Focus

Key Achievements

12
H-Index
27
Papers
767
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Robot as a Service in Cloud Computing
211 citations · 2010
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 53
🏛 Institutions: Arizona State University, Decision Systems (United States), University of Florida

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
    Design of a Robot Cloud Center
    52 citations · 2011
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago