World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
4911
World Ranking
10896
National Ranking
433

Overview

Deyi Xue is affiliated with the University of Calgary in Canada, contributing significantly to the fields of engineering, business management, and computer science. Their research output spans multiple disciplines with particular focus on industrial and manufacturing engineering, management of technology and innovation, mechanical engineering, artificial intelligence, and control and systems engineering.

The main topics covered in Deyi Xue's research include manufacturing process and optimization, product development and customization, design education and practice, advanced multi-objective optimization algorithms, metaheuristic optimization algorithms research, machine fault diagnosis techniques, and probabilistic and robust engineering design.

Recent publications by Deyi Xue reflect the diversity and application-driven focus of their work:

  • "Anomaly detection and critical SCADA parameters identification for wind turbines based on LSTM-AE neural network" (2021), published in Renewable Energy
  • "Anomaly detection and critical attributes identification for products with multiple operating conditions based on isolation forest" (2020), published in Advanced Engineering Informatics
  • "Multi-objective deep reinforcement learning for optimal design of wind turbine blade" (2023), published in Renewable Energy
  • "Kinematic modeling of a planetary roller screw mechanism considering runout errors and elastic deformation" (2022), published in The International Journal of Advanced Manufacturing Technology
  • "Assembly sequence planning based on structure cells in open design" (2022), published in Advanced Engineering Informatics

Deyi Xue has multiple frequent co-authors, including Peihua Gu, Qingjin Peng, Mohammed H. Saad, Jian Zhang, and Xuening Chu, indicating collaborative research activities across various projects and topics.

Their work is also recognized through publications in notable venues such as Advanced Engineering Informatics, Renewable Energy, Procedia CIRP, Journal of Mechanical Design, and arXiv (Cornell University), reflecting engagement with both engineering-focused and interdisciplinary research communities.

In addition to journal papers, Deyi Xue has contributed to the academic literature through book publications. Notably, they have a book titled "Adaptable Design" published by Springer Nature in 2023, which has received citations.

Best Publications

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

    Ali Lasemi;Deyi Xue;Peihua Gu

  • Anomaly detection and critical SCADA parameters identification for wind turbines based on LSTM-AE neural network

    Hansi Chen;Hang Liu;Xuening Chu;Qingxiu Liu

  • Adaptable design: Concepts, methods, and applications

    P Gu;D Xue;A Y C Nee

  • An integrated approach for rating engineering characteristics' final importance in product-service system development

    Xiuli Geng;Xuening Chu;Deyi Xue;Zaifang Zhang

  • An accuracy degradation analysis of ball screw mechanism considering time-varying motion and loading working conditions

    Qiang Cheng;Baobao Qi;Zhifeng Liu;Caixia Zhang

  • Design for Product Adaptability

    Yi Li;Deyi Xue;Peihua Gu

  • A dynamic reactive scheduling mechanism for responding to changes of production orders and manufacturing resources

    J. Sun;D. Xue

  • Design candidate identification using neural network-based fuzzy reasoning

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

  • A comparative study of metamodeling methods considering sample quality merits

    Dong Zhao;Deyi Xue

  • Identification of the optimal product configuration and parameters based on individual customer requirements on performance and costs in one-of-a-kind production

    G. Hong;L. Hu;D. Xue;Y. L. Tu

  • Recent advances in research on reconfigurable machine tools: a literature review

    Moustafa Gadalla;Deyi Xue

  • Optimal fuel cell system design considering functional performance and production costs

    D. Xue;Z. Dong

  • Knowledge base and database representation for intelligent concurrent design

    Deyi Xue;Swatantra Yadav;Douglas H. Norrie

  • A systematic decision-making approach for the optimal product-service system planning

    Xiuli Geng;Xuening Chu;Deyi Xue;Zaifang Zhang

  • An information system for one-of-a-kind production

    P.R. Dean;Y.L. Tu;D. Xue

  • Identification of the to-be-improved product features based on online reviews for product redesign

    Lei Zhang;Xuening Chu;Deyi Xue

  • A concurrent engineering-oriented design database representation model

    Deyi Xue;Haoguang Yang

  • Adaptable design of open architecture products with robust performance

    Jian Zhang;Deyi Xue;Peihua Gu

  • Distributed database and knowledge base modeling for concurrent design

    F. Zhang;Deyi Xue

  • The mixed production mode considering continuous and intermittent processing for an energy-efficient hybrid flow shop scheduling

    Zhifeng Liu;Jun Yan;Qiang Cheng;Congbin Yang

  • Rapid identification of the optimal product configuration and its parameters based on customer-centric product modeling for one-of-a-kind production

    Gang Hong;Deyi Xue;Yiliu Tu

Frequent Co-Authors

Peihua Gu
Peihua Gu Tianjin University
Simon S. Park
Simon S. Park University of Calgary
Douglas H. Norrie
Douglas H. Norrie University of Calgary
Andrew Y. C. Nee
Andrew Y. C. Nee National University of Singapore
Jiafu Tang
Jiafu Tang Dongbei University of Finance and Economics

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