World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
31
Citations
4286
World Ranking
9676
National Ranking
99

Yi Cao publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Yi Cao sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Yi Cao D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Yi Cao sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 31 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Yi Cao is affiliated with Lund University in Sweden and has contributed extensively to the field of engineering, focusing primarily on control and systems engineering. Their research spans a broad range of subfields including mechanical engineering, aerospace engineering, biomedical engineering, and statistics, probability, and uncertainty.

The scientist's main research topics include:

  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Risk and Safety Analysis
  • Extremum Seeking Control Systems
  • Iterative Learning Control Systems
  • Spectroscopy and Chemometric Analyses
  • Mineral Processing and Grinding

Yi Cao has published in several frequent venues, reflecting a focus on safety, process optimization, and industrial applications, including:

  • SSRN Electronic Journal
  • Process Safety and Environmental Protection
  • Industrial & Engineering Chemistry Research
  • Processes
  • IFAC-PapersOnLine

The scientist has collaborated regularly with a group of coauthors who appear frequently alongside them in publications. These include:

  • Shuang-Hua Yang
  • Chenchen Zhou
  • Hongxin Su
  • Zuzhen Ji
  • X. Tang

Some of the recent papers authored or coauthored by Yi Cao are:

  • "Harmonizing safety and security risk analysis and prevention in cyber-physical systems," 2021, published in Process Safety and Environmental Protection
  • "Air curtain dust-collecting technology: Investigation of industrial application in tobacco factory of the air curtain dust-collecting system," 2021, Process Safety and Environmental Protection
  • "A Kernel Design Approach to Improve Kernel Subspace Identification," 2020, IEEE Transactions on Industrial Electronics
  • "Integrating diminished quality of life with virtual reality for occupational health and safety training," 2022, Safety Science
  • "Source term estimation with deficient sensors: Traceability and an equivalent source approach," 2021, Process Safety and Environmental Protection

Yi Cao's work covers both theoretical advancements and applied research in industrial and safety contexts, combining expertise in advanced control algorithms with risk and safety analysis. The multidisciplinary approach connects cyber-physical system security, industrial process safety, and control systems optimization.

Best Publications

  • Nonlinear Dynamic Process Monitoring Using Canonical Variate Analysis and Kernel Density Estimations

    P.-E.P. Odiowei;Yi Cao

  • Statistical process monitoring of a multiphase flow facility

    C. Ruiz-Cárcel;Y. Cao;L. Lao

  • Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection

    Karl Ezra Salgado Pilario;Yi Cao

  • LOCAL SELF-OPTIMIZING CONTROL WITH AVERAGE LOSS MINIMIZATION

    Vinay Kariwala;Yi Cao;S. Janardhanan

  • Nonlinear system identification for predictive control using continuous time recurrent neural networks and automatic differentiation

    R.K. Al Seyab;Y. Cao

  • A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring

    Karl Ezra Pilario;Mahmood Shafiee;Yi Cao;Liyun Lao

  • Bidirectional branch and bound for controlled variable selection Part I. Principles and minimum singular value criterion

    Yi Cao;Vinay Kariwala

  • Recent Advances in Two-Dimensional Magnets: Physics and Devices towards Spintronic Applications.

    Vertikasari P. Ningrum;Bowen Liu;Wei Wang;Yao Yin

  • Bidirectional branch and bound for controlled variable selection Part II : exact local method for self-optimizing control

    Vinay Kariwala;Yi Cao

  • Mixed Kernel Canonical Variate Dissimilarity Analysis for Incipient Fault Monitoring in Nonlinear Dynamic Processes

    Karl Ezra S. Pilario;Karl Ezra S. Pilario;Yi Cao;Mahmood Shafiee

  • Self-optimizing control – A survey

    Johannes Jäschke;Yi Cao;Vinay Kariwala

  • Approximating Necessary Conditions of Optimality as Controlled Variables

    Lingjian Ye;Yi Cao;Yingdao Li;Zhihuan Song

  • Nonlinear model predictive control for the ALSTOM gasifier

    R.K. Al Seyab;Y. Cao

  • Nonlinear process fault detection and identification using kernel PCA and kernel density estimation

    Raphael Tari Samuel;Yi Cao

  • State-space independent component analysis for nonlinear dynamic process monitoring

    P. P. Odiowei;Yi Cao

  • A branch and bound method for isolation of faulty variables through missing variable analysis

    Vinay Kariwala;Pabara-Ebiere Odiowei;Yi Cao;Tao Chen

  • Combination of process and vibration data for improved condition monitoring of industrial systems working under variable operating conditions

    C. Ruiz-Cárcel;V.H. Jaramillo;J.R. Ottewill

  • Adaptive synchronization of weighted complex dynamical networks through pinning

    L. Wang;H. P. Dai;H. Dong;Y. Y. Cao

  • Bidirectional Branch and Bound for Controlled Variable Selection Part III: Local Average Loss Minimization

    V. Kariwala;Yi Cao

  • Differential recurrent neural network based predictive control

    R.K. Al Seyab;Yi Cao

  • Identification of gas-liquid flow regimes using a non-intrusive Doppler ultrasonic sensor and virtual flow regime maps

    Somtochukwu Godfrey Nnabuife;Karl Ezra S. Pilario;Karl Ezra S. Pilario;Liyun Lao;Yi Cao

Frequent Co-Authors

Mahmood Shafiee
Mahmood Shafiee University of Kent
Zhihuan Song
Zhihuan Song Zhejiang University
Xiaofeng Yuan
Xiaofeng Yuan Central South University
James F. Whidborne
James F. Whidborne Cranfield University
Zoltan K. Nagy
Zoltan K. Nagy Purdue University West Lafayette
Christopher M. Wathes
Christopher M. Wathes Royal Veterinary College
Wen-Hua Chen
Wen-Hua Chen Loughborough University
Gade Pandu Rangaiah
Gade Pandu Rangaiah National University of Singapore
Antonis C. Kokossis
Antonis C. Kokossis National Technical University of Athens
Moses O. Tadé
Moses O. Tadé Curtin University

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