Fei-Vue Wang

University of Arizona

Papers

1

Total Citations

13

H-Index

1

About

Dr. Fei-Yue Wang is a pioneering researcher whose work bridges artificial intelligence, robotics, and complex systems, with a particular focus on autonomous control and intelligent transportation. His early groundbreaking contributions include the development of autonomous robotic mining excavation systems, where he innovatively combined fuzzy logic and neural networks to replicate skilled human operator behaviors. This foundational work, detailed in his 1995 paper "Autonomous Robotic Mining Excavation Using Fuzzy Logic and Neural Networks," has garnered 13 citations and laid the groundwork for modern intelligent control in unstructured environments. Dr. Wang is perhaps best known for founding the field of social computing and for his visionary concept of "parallel intelligence," which integrates artificial systems, computational experiments, and parallel execution to manage complex systems. His impact is immense, with over 50,000 citations and an h-index exceeding 100, reflecting his profound influence across robotics, automation, and cyber-physical-social systems. A Fellow of IEEE, INCOSE, and AAAS, Dr. Wang has also served as Editor-in-Chief of several leading journals, cementing his legacy as a transformative figure in intelligent systems research.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Robotic Mining Excavation Using Fuzzy Logic and Neural Networks
13 citations · 1995
📈 Most Prolific Year: 1995 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Arizona

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago