World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
4911
World Ranking
10894
National Ranking
432

Deyi Xue publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Deyi Xue sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 155 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Deyi Xue D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Deyi Xue sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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
Yuwen Sun
Yuwen Sun Dalian University of Technology

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