World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
12335
World Ranking
6001
National Ranking
1156

Overview

Peihua Gu is affiliated with Tianjin University in China and has a research portfolio primarily focused on the fields of Engineering and Business, Management and Accounting. Their work spans several subfields including Industrial and Manufacturing Engineering, Management of Technology and Innovation, Mechanical Engineering, Automotive Engineering, and Social Psychology.

Their research covers main topics such as Product Development and Customization, Manufacturing Process and Optimization, and Design Education and Practice. Additional areas of attention include Digital Transformation in Industry, Quality Function Deployment in Product Design, Additive Manufacturing and 3D Printing Technologies, and Color perception and design.

Peihua Gu has authored a number of research papers, with recent publications as follows:

  • Planning for automatic product assembly using reinforcement learning, 2021, Computers in Industry
  • Dependency and correlation analysis of specifications and parameters of products for supporting design decisions, 2020, CIRP Annals
  • Machine learning-based design features decision support tool via customers purchasing data analysis, 2020, Concurrent Engineering
  • Robust design approach to the minimization of functional performance variations of products and systems, 2021, Frontiers of Mechanical Engineering
  • Product evolution analysis for design adaptation using big sales data, 2022, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture

Frequent coauthors collaborating with Peihua Gu include Qingjin Peng, Jian Zhang, Deyi Xue, Kaifeng Wang, and Alessandro Simeone.

The venues where Peihua Gu has frequently published research include CIRP Annals, SSRN Electronic Journal, Computers in Industry, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, and Chinese Journal of Mechanical Engineering.

Peihua Gu has also contributed to book publications, notably one titled Adaptable Design, published by Springer Nature in 2023.

Best Publications

  • Effect of processing conditions on the bonding quality of FDM polymer filaments

    Q. Sun;G.M. Rizvi;C.T. Bellehumeur;P. Gu

  • Product life cycle cost analysis: State of the art review

    Y. Asiedu;P. Gu

  • A review of rapid prototyping technologies and systems

    Xue Yan;P Gu

  • Modeling of Bond Formation Between Polymer Filaments in the Fused Deposition Modeling Process

    Céline Bellehumeur;Longmei Li;Qian Sun;Peihua Gu

  • Review: Recent development in CNC machining of freeform surfaces: A state-of-the-art review

    Ali Lasemi;Deyi Xue;Peihua Gu

  • Design methodologies: Industrial and educational applications

    T. Tomiyama;P. Gu;P. Gu;Y. Jin;Diederick Lutters

  • Free-form surface inspection techniques state of the art review

    Yadong Li;Peihua Gu

  • Product modularization for life cycle engineering

    P. Gu;S. Sosale

  • Composite Modeling and Analysis for Fabrication of FDM Prototypes with Locally Controlled Properties

    L. Li;Q. Sun;C. Bellehumeur;P. Gu

  • An Integrated Modular Design Methodology for Life-Cycle Engineering

    P. Gu;M. Hashemian;S. Sosale;E. Rivin

  • Neural network approach to the reconstruction of freeform surfaces for reverse engineering

    P. Gu;Xue Yan

  • Open-architecture products

    Y. Koren;S.J. Hu;Peihua Gu;M. Shpitalni

  • A reverse engineering system for rapid manufacturing of complex objects

    L. Li;N. Schemenauer;X. Peng;Y. Zeng

  • Product modelling using step

    Peihua Gu;Kam Chan

  • Bidding-based process planning and scheduling in a multi-agent system

    P. Gu;S. Balasubramanian;D. H. Norrie

  • Adaptable design: Concepts, methods, and applications

    P Gu;D Xue;A Y C Nee

  • Expert System for Inspection Planning

    H.A. ElMaraghy;P.H. Gu;J.G. Bollinger

  • Design for Product Adaptability

    Yi Li;Deyi Xue;Peihua Gu

  • Design candidate identification using neural network-based fuzzy reasoning

    J. Sun;D.K. Kalenchuk;D. Xue;P. Gu

  • A science-based approach to product design theory Part I: formulation and formalization of design process

    Y. Zeng;P. Gu

Frequent Co-Authors

Deyi Xue
Deyi Xue University of Calgary
Yoram Koren
Yoram Koren University of Michigan–Ann Arbor
Hoda A. ElMaraghy
Hoda A. ElMaraghy University of Windsor
Douglas H. Norrie
Douglas H. Norrie University of Calgary
Akhil Garg
Akhil Garg Huazhong University of Science and Technology
Andrew Y. C. Nee
Andrew Y. C. Nee National University of Singapore
Mitchell M. Tseng
Mitchell M. Tseng Feng Chia University
Tetsuo Tomiyama
Tetsuo Tomiyama International Professional University of Technology in Tokyo
Xinyu Shao
Xinyu Shao Huazhong University of Science and Technology
S. Jack Hu
S. Jack Hu University of California, Riverside

External Links

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Peihua Gu

Trending Scientists