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Engineering and Technology
Sweden
2026

D-Index & Metrics

Engineering and Technology

D-Index
86
Citations
30852
World Ranking
354
National Ranking
4

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Sweden Leader Award
  • 2025 - Research.com Engineering and Technology in Sweden Leader Award
  • 2022 - Research.com Engineering and Technology in Sweden Leader Award
  • 2014 - Fellow of the American Society of Mechanical Engineers

Overview

Lihui Wang is affiliated with the Royal Institute of Technology in Sweden. Their research primarily belongs to the field of Engineering, with a strong focus on Industrial and Manufacturing Engineering, Mechanical Engineering, Control and Systems Engineering, Electrical and Electronic Engineering, and Biomedical Engineering.

The scientist's work extensively covers a range of topics related to modern manufacturing and industrial processes. Key topics include:

  • Digital Transformation in Industry
  • Manufacturing Process and Optimization
  • Robot Manipulation and Learning
  • Advanced machining processes and optimization
  • Flexible and Reconfigurable Manufacturing Systems
  • Industrial Vision Systems and Defect Detection
  • Advanced Machining and Optimization Techniques

Their publication record shows a strong presence in several prominent venues, including:

  • Journal of Manufacturing Systems
  • Robotics and Computer-Integrated Manufacturing
  • SSRN Electronic Journal
  • CIRP Annals
  • E3S Web of Conferences

Among their most recent papers are titles that explore emerging industrial concepts and technologies, such as:

  • "Industry 4.0 and Industry 5.0-Inception, conception and perception" (2021, Journal of Manufacturing Systems)
  • "Industry 5.0: Prospect and retrospect" (2022, Journal of Manufacturing Systems)
  • "Outlook on human-centric manufacturing towards Industry 5.0" (2022, Journal of Manufacturing Systems)
  • "Industry 5.0 and Society 5.0-Comparison, complementation and co-evolution" (2022, Journal of Manufacturing Systems)
  • "Smart manufacturing process and system automation - A critical review of the standards and envisioned scenarios" (2020, Journal of Manufacturing Systems)

Lihui Wang commonly collaborates with various researchers, with frequent co-authors including:

  • Xi Vincent Wang
  • Pai Zheng
  • Sichao Liu
  • Steven Y. Liang
  • Caixu Yue

In addition to research articles, they have contributed to book publications, notably the "Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing," published by Springer Nature in 2020.

The scientist has been recognized in their field with the award of Fellow of the American Society of Mechanical Engineers in 2014.

Best Publications

  • Enabling technologies and tools for digital twin

    Qinglin Qi;Fei Tao;Tianliang Hu;Nabil Anwer

  • 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

  • Current status and advancement of cyber-physical systems in manufacturing

    Lihui Wang;Martin Törngren;Mauro Onori

  • Collaborative conceptual design—state of the art and future trends

    Lihui Wang;Weiming Shen;Helen Xie;Joseph Neelamkavil

  • Cloud-based design and manufacturing

    Dazhong Wu;David W. Rosen;Lihui Wang;Dirk Schaefer

  • Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey

    Weiming Shen;Lihui Wang;Qi Hao

  • Reconfigurable manufacturing systems: the state of the art

    Z. M. Bi;S. Y. T. Lang;W. Shen;Lihui Wang

  • Symbiotic human-robot collaborative assembly

    L. Wang;R. Gao;J. Váncza;J. Váncza;J. Krüger;J. Krüger

  • Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios

    Yuqian Lu;Xun Xu;Lihui Wang

  • Cloud-enabled prognosis for manufacturing

    Robert Gao;Lihui Wang;Roberto Teti;David Dornfeld

  • Computer-aided process planning-A critical review of recent developments and future trends

    Xun Xu;Lihui Wang;Stephen T. Newman

  • Gesture recognition for human-robot collaboration: A review

    Hongyi Liu;Lihui Wang

  • Cloud manufacturing: key characteristics and applications

    Lei Ren;Lin Zhang;Lihui Wang;Fei Tao

  • Industrial robotic machining: a review

    Wei Ji;Lihui Wang

  • A review of chatter vibration research in milling

    Caixu Yue;Haining Gao;Xianli Liu;Steven Y. Liang

  • Digital twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.0

    Xi Vincent Wang;Lihui Wang

  • Scheduling in cloud manufacturing: state-of-the-art and research challenges

    Yongkui Liu;Lihui Wang;Xi Vincent Wang;Xun Xu

  • Machine availability monitoring and machining process planning towards Cloud manufacturing

    Lihui Wang

  • Human-robot collaborative assembly in cyber-physical production: Classification framework and implementation

    Xi Vincent Wang;Zsolt Kemény;József Váncza;József Váncza;Lihui Wang

  • Review: Advances in 3D data acquisition and processing for industrial applications

    Z. M. Bi;Lihui Wang

  • Condition monitoring and control for intelligent manufacturing

    Lihui Wang;Robert X. Gao

  • Robotics and Computer-Integrated Manufacturing

    Lihui Wang

Frequent Co-Authors

Hsi-Yung Feng
Hsi-Yung Feng University of British Columbia
Weiming Shen
Weiming Shen Huazhong University of Science and Technology
Xun Xu
Xun Xu University of Auckland
Dan Zhang
Dan Zhang York University
Robert X. Gao
Robert X. Gao Case Western Reserve University
Liang Gao
Liang Gao Huazhong University of Science and Technology
Livan Fratini
Livan Fratini University of Palermo
Albert J. Shih
Albert J. Shih University of Michigan–Ann Arbor
Zhuming Bi
Zhuming Bi Indiana University – Purdue University Fort Wayne
József Váncza
József Váncza Budapest University of Technology and Economics

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