World's Best Scientists 2026 revealed!

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Computer Science

D-Index
74
Citations
34934
World Ranking
1453
National Ranking
197

Overview

Fei Tao is affiliated with Beihang University in China, with a research focus primarily in the field of Engineering. Their work spans several subfields, notably Industrial and Manufacturing Engineering, Control and Systems Engineering, Management of Technology and Innovation, Mechanical Engineering, and Safety, Risk, Reliability and Quality.

Their research concentrates on key topics including Digital Transformation in Industry, Manufacturing Process and Optimization, Flexible and Reconfigurable Manufacturing Systems, Collaboration in Agile Enterprises, Industrial Vision Systems and Defect Detection, Technology Assessment and Management, and Scheduling and Optimization Algorithms.

Fei Tao has published extensively in several prominent venues. Frequent publication venues include the Journal of Manufacturing Systems, The International Journal of Advanced Manufacturing Technology, arXiv (Cornell University), IEEE Transactions on Industrial Informatics, and SSRN Electronic Journal.

Selected recent papers authored by Fei Tao and related works in the field include:

  • "Digital twin modeling," 2022, Journal of Manufacturing Systems
  • "Smart Manufacturing and Intelligent Manufacturing: A Comparative Review," 2020, Engineering
  • "Multi-scenario simulation and ecological risk analysis of land use based on the PLUS model: A case study of Nanjing," 2022, Sustainable Cities and Society
  • "Digital Twin Enhanced Dynamic Job-Shop Scheduling," 2020, Journal of Manufacturing Systems
  • "Artificial intelligence in product lifecycle management," 2021, The International Journal of Advanced Manufacturing Technology

Frequent co-authors collaborating with Fei Tao include Ying Cheng, Qinglin Qi, Ying Zuo, A.Y.C. Nee, and Meng Zhang.

Best Publications

  • Digital Twin in Industry: State-of-the-Art

    Fei Tao;He Zhang;Ang Liu;A. Y. C. Nee

  • Digital twin-driven product design, manufacturing and service with big data

    Fei Tao;Jiangfeng Cheng;Qinglin Qi;Meng Zhang

  • Data-driven smart manufacturing

    Fei Tao;Qinglin Qi;Ang Liu;Andrew Kusiak

  • Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison

    Qinglin Qi;Fei Tao

  • Enabling technologies and tools for digital twin

    Qinglin Qi;Fei Tao;Tianliang Hu;Nabil Anwer

  • Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing

    Fei Tao;Meng Zhang

  • Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison

    Fei Tao;Qinglin Qi;Lihui Wang;A.Y.C. Nee

  • Digital twin-driven product design framework

    Fei Tao;Fangyuan Sui;Ang Liu;Qinglin Qi

  • Digital twin driven prognostics and health management for complex equipment

    Fei Tao;Meng Zhang;Yushan Liu;A.Y.C. Nee

  • CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System

    Fei Tao;Ying Cheng;Li Da Xu;Lin Zhang

  • Cloud manufacturing: a new manufacturing paradigm

    Lin Zhang;Yongliang Luo;Fei Tao;Bo Hu Li

  • Cloud manufacturing: a computing and service-oriented manufacturing model:

    F Tao;L Zhang;V C Venkatesh;Y Luo

  • IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing

    Fei Tao;Ying Zuo;Li Da Xu;Lin Zhang

  • Make more digital twins.

    Fei Tao;Qinglin Qi

  • Big Data in product lifecycle management

    Jingran Li;Fei Tao;Ying Cheng;Liangjin Zhao

  • Industrial IoT in 5G environment towards smart manufacturing

    Jiangfeng Cheng;Jiangfeng Cheng;Weihai Chen;Fei Tao;Chun-Liang Lin

  • Digital Twin Service towards Smart Manufacturing

    Qinglin Qi;Fei Tao;Ying Zuo;Dongming Zhao

  • New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics

    Fei Tao;Qinglin Qi

  • Smart Manufacturing and Intelligent Manufacturing: A Comparative Review

    Baicun Wang;Baicun Wang;Baicun Wang;Fei Tao;Xudong Fang;Chao Liu

  • FC-PACO-RM: A Parallel Method for Service Composition Optimal-Selection in Cloud Manufacturing System

    Fei Tao;Yuanjun LaiLi;Lida Xu;Lin Zhang

  • Advanced manufacturing systems: socialization characteristics and trends

    F. Tao;Y. Cheng;L. Zhang;A. Y. Nee

Frequent Co-Authors

Lin Zhang
Lin Zhang Beihang University
Ping Xu
Ping Xu Shanghai Jiao Tong University
Andrew Y. C. Nee
Andrew Y. C. Nee National University of Singapore
Lei Ren
Lei Ren Beihang University
Zude Zhou
Zude Zhou Wuhan University of Technology
Yingfeng Zhang
Yingfeng Zhang Northwestern Polytechnical University
Carlos Busso
Carlos Busso The University of Texas at Dallas
Cuiqing Ma
Cuiqing Ma Shandong University
Li Da Xu
Li Da Xu Old Dominion University
Lihui Wang
Lihui Wang Royal Institute of Technology

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