Papers

2

Total Citations

5

H-Index

2

About

Xiang Fei is a researcher whose work bridges the critical intersection of artificial intelligence, big data analytics, and edge computing. His most cited paper, "Emerging intelligent big data analytics for cloud and edge computing" (2020), explores how AI can enhance big data processing to meet the stringent computing demands of modern applications, particularly as cloud computing alone proves insufficient for real-time tasks. This work has garnered 3 citations, highlighting its relevance in the rapidly evolving field of distributed intelligence. Fei also made notable contributions to industrial automation with his 2011 study on designing an industrial robot controller using a system on a programmable chip (SoPC). By leveraging ALTERA FPGAs and the NIOS II embedded soft core processor, he developed an open, flexible controller architecture that integrates both hardware and software, earning 2 citations for its practical impact on robotics. Fei’s research demonstrates a commitment to advancing intelligent systems, from cloud-edge analytics to embedded control, offering valuable insights for students and researchers exploring the future of AI-driven, real-time computing solutions.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Emerging intelligent big data analytics for cloud and edge computing
3 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Coventry University, Henan University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago