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Computer Science

D-Index
41
Citations
6774
World Ranking
8874
National Ranking
1145

Overview

Weidong Li is affiliated with Wuhan University of Technology in China. Their research primarily focuses on engineering with significant contributions across various subfields including industrial and manufacturing engineering, electrical and electronic engineering, mechanical engineering, control and systems engineering, and computer networks and communications.

The main topics covered in their work include:

  • Manufacturing Process and Optimization
  • Optimization and Search Problems
  • Advanced machining processes and optimization
  • Scheduling and Optimization Algorithms
  • Robot Manipulation and Learning
  • Machine Fault Diagnosis Techniques
  • Advanced Machining and Optimization Techniques

Weidong Li has been frequently published in a number of academic venues, demonstrating a consistent research presence. These venues include:

  • SSRN Electronic Journal
  • The International Journal of Advanced Manufacturing Technology
  • Robotics and Computer-Integrated Manufacturing
  • Advanced Engineering Informatics
  • Journal of Manufacturing Systems

Among their recent publications are:

  • "Safe human-robot collaboration for industrial settings: a survey," 2023, Journal of Intelligent Manufacturing
  • "Transfer learning enabled convolutional neural networks for estimating health state of cutting tools," 2021, Robotics and Computer-Integrated Manufacturing
  • "3D Liver Tissue Model with Branched Vascular Networks by Multimaterial Bioprinting," 2021, Advanced Healthcare Materials
  • "Prediction of the remaining useful life of cutting tool using the Hurst exponent and CNN-LSTM," 2021, The International Journal of Advanced Manufacturing Technology
  • "Cutting tool prognostics enabled by hybrid CNN-LSTM with transfer learning," 2021, The International Journal of Advanced Manufacturing Technology

They have collaborated extensively with researchers including Yuchen Liang, Duc Truong Pham, Kaixiong Hu, Yong Zhou, and Man Xiao.

In addition to journal publications, Weidong Li has contributed to academic books, notably publishing with Springer International Publishing. One of their works is titled "Data Driven Smart Manufacturing Technologies and Applications," published in 2021.

Best Publications

  • Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm

    Min Dai;Dunbing Tang;Adriana Giret;Miguel A. Salido

  • Cobot programming for collaborative industrial tasks: An overview

    Shirine El Zaatari;Mohamed Marei;Weidong Li;Zahid Usman

  • Collaborative computer-aided design-research and development status

    W. D. Li;W. F. Lu;J. Y. H. Fuh;Y. S. Wong

  • A simulated annealing-based optimization approach for integrated process planning and scheduling

    W. D. Li;C. A. McMahon

  • Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts

    W. D. Li;S. K. Ong;A. Y. C. Nee

  • Applications of particle swarm optimisation in integrated process planning and scheduling

    Y. W. Guo;W. D. Li;A. R. Mileham;G. W. Owen

  • Computer supported collaborative design: Retrospective and perspective

    Weiming Shen;Qi Hao;Weidong Li

  • An adaptive process planning approach of rapid prototyping and manufacturing

    G.Q. Jin;W.D. Li;L. Gao

  • Feature-based design in a distributed and collaborative environment

    Weidong Li;Soh-Khim Ong;Jerry Y. H. Fuh;Yoke San Wong

  • Advances in collaborative CAD: the-state-of-the art

    J. Y. H. Fuh;W. D. Li

  • Application of game theory based hybrid algorithm for multi-objective integrated process planning and scheduling

    Xinyu Li;Liang Gao;Weidong Li

  • A systematic approach of process planning and scheduling optimization for sustainable machining

    S. Wang;Xin Lu;X. Li;Weidong Li

  • An agent-based approach for integrated process planning and scheduling

    Xinyu Li;Chaoyong Zhang;Liang Gao;Weidong Li

  • An effective hybrid discrete differential evolution algorithm for the flow shop scheduling with intermediate buffers

    Quan-Ke Pan;Ling Wang;Liang Gao;W. D. Li

  • State-of-the-art technologies and methodologies for collaborative product development systems

    W. D. Li;Z. M. Qiu

  • Cyber Physical System and Big Data enabled energy efficient machining optimisation

    Y.C. Liang;X. Lu;W.D. Li;S. Wang

  • Optimization of process plans using a constraint-based tabu search approach

    W. D. Li;S. K. Ong;A. Y. C. Nee

  • Selective disassembly planning for waste electrical and electronic equipment with case studies on liquid crystaldisplays

    W. D. Li;K. Xia;L. Gao;K. M. Chao

  • Recognizing manufacturing features from a design-by-feature model

    Weidong Li;Soh-Khim Ong;Andrew Y. C. Nee

  • Transfer learning enabled convolutional neural networks for estimating health state of cutting tools

    Mohamed Marei;Shirine El Zaatari;Weidong Li

  • Collaborative Computer-Aided Design - Research and Development Status

    W. D. Li;Y. Q. Lu;W. F. Lu;J. Y. H. Fuh

  • Applications of particle swarm optimisationin integrated process planning and scheduling

    Y W Guo;A R Mileham;G W Owen;W D Li

Frequent Co-Authors

Liang Gao
Liang Gao Huazhong University of Science and Technology
Soh-Khim Ong
Soh-Khim Ong National University of Singapore
Andrew Y. C. Nee
Andrew Y. C. Nee National University of Singapore
Yutaka Shimada
Yutaka Shimada Tohoku University
Fazhi He
Fazhi He Wuhan University
Charles R. Sullivan
Charles R. Sullivan Dartmouth College
Weiming Shen
Weiming Shen Huazhong University of Science and Technology
Lihui Wang
Lihui Wang Royal Institute of Technology
Junzhou Luo
Junzhou Luo Southeast University
Xinyu Li
Xinyu Li Huazhong University of Science and Technology

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