Fei Tao

Beihang University, Beijing International Studies University, State Key Laboratory of Virtual Reality Technology and Systems

Papers

13

Total Citations

454

H-Index

10

About

No biography available yet.

Research Focus

Computer science12 · 433 citations
Engineering11 · 399 citations
Artificial intelligence8 · 284 citations
Embedded system3 · 195 citations
Systems engineering4 · 184 citations
Human–computer interaction5 · 167 citations
Operating system2 · 147 citations
Robot5 · 144 citations
World Wide Web2 · 123 citations
Algorithm3 · 122 citations
Manufacturing engineering2 · 118 citations
Product (mathematics)3 · 116 citations

Key Achievements

10
H-Index
13
Papers
454
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Robotic disassembly re-planning using a two-pointer detection strategy and a super-fast bees algorithm
81 citations · 2019
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 45
🏛 Institutions: Beihang University, Beijing International Studies University, State Key Laboratory of Virtual Reality Technology and Systems

Top Papers

  1. 1
    Robotic disassembly re-planning using a two-pointer detection strategy and a super-fast bees algorithm
    81 citations · 2019
  2. 2
    Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices
    77 citations · 2022
  3. 3
    Cloud manufacturing paradigm with ubiquitous robotic system for product customization
    70 citations · 2019
  4. 4
    A consistency method for digital twin model of human-robot collaboration
    53 citations · 2022
  5. 5
    Digital twin towards smart manufacturing and industry 4.0
    48 citations · 2020
  6. 6
    Auto-sorting System Towards Smart Factory based on Deep learning for Image Segmentation
    34 citations · 2018
  7. 7
    Biologically Inspired Design of Context-Aware Smart Products
    25 citations · 2019
  8. 8
    Multi-scenario digital twin-driven human-robot collaboration multi-task disassembly process planning based on dynamic time petri-net and heterogeneous multi-agent double deep Q-learning network
    21 citations · 2025
  9. 9
    Artificial Intelligence-Enhanced Digital Twin Systems Engineering Towards the Industrial Metaverse in the Era of Industry 5.0
    16 citations · 2025
  10. 10
    A Digital Twin–Based Environment-Adaptive Assignment Method for Human–Robot Collaboration
    11 citations · 2023

Key Collaborators

ALAng Liu3 shared papersXSXinyi Song2 shared papersANA.Y.C. Nee2 shared papersZZZhinan Zhang2 shared papersYCYing Cheng2 shared papersJRJiawei Ren2 shared papersNANabil Anwer2 shared papersQQQinglin Qi2 shared papersMZMeng Zhang1 shared papersYYYuting Yao1 shared papersSZShuai Zhang1 shared papersYLYun Li1 shared papersJCJiangfeng Cheng1 shared papersYWYongjing Wang1 shared papersLLLiming Li1 shared papersSCStephen C.-Y. Lu1 shared papersZZZhang Zhiwen1 shared papersXMXin Ma1 shared papersSTSergio Terzi1 shared papersDTDuc Truong Pham1 shared papers
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