World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
8872
World Ranking
4406
National Ranking
593

Jianbo Yu 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 Jianbo Yu 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: 150 publications — 27th percentile

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

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

Jianbo Yu 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 Jianbo Yu 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Jianbo Yu is affiliated with Tongji University in China and has an extensive research record primarily focused on engineering. Their work spans multiple subfields including mechanical engineering, control and systems engineering, industrial and manufacturing engineering, electrical and electronic engineering, and materials chemistry.

The research topics covered by Jianbo Yu include:

  • Machine Fault Diagnosis Techniques
  • Fault Detection and Control Systems
  • Gear and Bearing Dynamics Analysis
  • Industrial Vision Systems and Defect Detection
  • Mineral Processing and Grinding
  • Advanced ceramic materials synthesis
  • Advanced machining processes and optimization

Jianbo Yu has published in prominent venues such as:

  • IEEE Transactions on Instrumentation and Measurement
  • International Journal of Production Research
  • IEEE Transactions on Industrial Informatics
  • Journal of Mechanical Engineering
  • IEEE Sensors Journal

Frequent coauthors collaborating with Jianbo Yu include:

  • Zhongming Ren
  • Shijin Wang
  • Zhuang Ye
  • Mengqi Miao
  • Zebing Zhou

Selected recent publications by Jianbo Yu are:

  • One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis, 2020, IEEE Transactions on Industrial Informatics
  • Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis, 2020, Knowledge-Based Systems
  • RetinaNet With Difference Channel Attention and Adaptively Spatial Feature Fusion for Steel Surface Defect Detection, 2020, IEEE Transactions on Instrumentation and Measurement (authored by Xun Cheng but associated with Yu's research topics)
  • One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes, 2020, Journal of Process Control (authored by Shumei Chen but relevant to Yu's research domain)
  • Study of pore defect and mechanical properties in selective laser melted Ti6Al4V alloy based on X-ray computed tomography, 2020, Materials Science and Engineering A (authored by Wei Liu, complementing Yu's materials chemistry focus)

Jianbo Yu's body of work consists of 385 publications broadly categorized under engineering, delivering significant breadth across mechanical engineering with 107 papers, control and systems engineering with 101 papers, industrial and manufacturing engineering with 51 papers, electrical and electronic engineering with 28 papers, and materials chemistry with 23 papers.

Best Publications

  • A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems

    Tianyi Wang;Jianbo Yu;D. Siegel;J. Lee

  • Bearing performance degradation assessment using locality preserving projections and Gaussian mixture models

    Jianbo Yu

  • RetinaNet With Difference Channel Attention and Adaptively Spatial Feature Fusion for Steel Surface Defect Detection

    Xun Cheng;Jianbo Yu

  • Letters: Evolving artificial neural networks using an improved PSO and DPSO

    Jianbo Yu;Shijin Wang;Lifeng Xi

  • State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble

    Jianbo Yu

  • Local and Nonlocal Preserving Projection for Bearing Defect Classification and Performance Assessment

    Jianbo Yu

  • Local and global principal component analysis for process monitoring

    Jianbo Yu

  • One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis

    Jianbo Yu;Xingkang Zhou

  • Wafer Map Defect Detection and Recognition Using Joint Local and Nonlocal Linear Discriminant Analysis

    Jianbo Yu;Xiaolei Lu

  • Health Condition Monitoring of Machines Based on Hidden Markov Model and Contribution Analysis

    Jianbo Yu

  • An effective heuristic for flexible job-shop scheduling problem with maintenance activities

    Shijin Wang;Jianbo Yu

  • One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes

    Shumei Chen;Jianbo Yu;Shijin Wang

  • Bearing performance degradation assessment using locality preserving projections

    Jian-Bo Yu

  • Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan

    Shijin Wang;Xiaodong Wang;Jianbo Yu;Shuan Ma

  • An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks

    Jianbo Yu;Lifeng Xi;Shijin Wang

  • An energy-efficient two-stage hybrid flow shop scheduling problem in a glass production

    Shijin Wang;Xiaodong Wang;Feng Chu;Jianbo Yu

  • A hybrid feature selection scheme and self-organizing map model for machine health assessment

    Jianbo Yu

  • A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes

    Jian-bo Yu;Li-feng Xi

  • Fault Detection Using Principal Components-Based Gaussian Mixture Model for Semiconductor Manufacturing Processes

    Jianbo Yu

  • Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis

    Jianbo Yu;Guoliang Liu

  • Hidden Markov models combining local and global information for nonlinear and multimodal process monitoring

    Jianbo Yu

Frequent Co-Authors

Lifeng Xi
Lifeng Xi Shanghai Jiao Tong University
Feng Chu
Feng Chu University of Évry Val d'Essonne
Jay Lee
Jay Lee University of Maryland, College Park
Qingbo He
Qingbo He Shanghai Jiao Tong University
Jatinder N. D. Gupta
Jatinder N. D. Gupta University of Alabama in Huntsville

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