World's Best Scientists 2026 revealed!
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Yi Cao

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 31 9676 9294 99 95 153 4286

Yi Cao publications per year

The chart shows the history of publications by Yi Cao between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yi Cao published across 24 years, from 2002 to 2025, averaging 9 papers a year. Output peaked at 21 publications in 2025. 38 of the 216 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2025. 2002: 1 publication 2003: 7 publications 2004: 5 publications 2005: 4 publications 2006: 3 publications 2007: 1 publication 2008: 8 publications 2009: 7 publications 2010: 14 publications 2011: 1 publication 2012: 10 publications 2013: 8 publications 2014: 15 publications 2015: 8 publications 2016: 9 publications 2017: 11 publications 2018: 7 publications 2019: 17 publications 2020: 7 publications 2021: 8 publications 2022: 13 publications 2023: 14 publications 2024: 17 publications 2025: 21 publications
2002 2025

216 publications in total across all disciplines

View publications per year as a table
Yi Cao: publications per year, 2002 to 2025
Year Publications
2002 1
2003 7
2004 5
2005 4
2006 3
2007 1
2008 8
2009 7
2010 14
2011 1
2012 10
2013 8
2014 15
2015 8
2016 9
2017 11
2018 7
2019 17
2020 7
2021 8
2022 13
2023 14
2024 17
2025 21
Total 216
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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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 148–157 publications, is where this scientist sits. 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
38–47 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.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457 153
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 31 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114 31
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

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

External Links

Personal website of Yi Cao

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Publications: 10

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