World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
6152
World Ranking
6658
National Ranking
1237

Yi Shen 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 Shen 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: 385 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Yi Shen 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 Shen 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: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Yi Shen is affiliated with the Harbin Institute of Technology in China. Their research primarily lies within the field of Engineering, with a notable focus on Control and Systems Engineering. Other significant subfields of study include Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering, and Media Technology.

The scientist's research covers several main topics, including:

  • Fault Detection and Control Systems
  • Control Systems and Identification
  • Advanced Control Systems Optimization
  • Stability and Control of Uncertain Systems
  • Ultrasonics and Acoustic Wave Propagation
  • Remote-Sensing Image Classification
  • Structural Health Monitoring Techniques

Yi Shen has contributed publications to multiple frequent venues such as:

  • arXiv (Cornell University)
  • International Journal of Robust and Nonlinear Control
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Instrumentation and Measurement

Recent papers authored or coauthored by Yi Shen include:

  • Set-membership estimation for linear time-varying descriptor systems, 2020, Automatica
  • FSDF: A high-performance fire detection framework, 2023, Expert Systems with Applications
  • Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning, 2020, Medical Image Analysis
  • Fault Detection for Lipschitz Nonlinear Systems With Restricted Frequency-Domain Specifications, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • Seq2Path: Generating Sentiment Tuples as Paths of a Tree, 2022, Findings of the Association for Computational Linguistics: ACL 2022

Frequent co-authors working with Yi Shen include Zhenhua Wang, Xin Zhang, Tarek Raïssi, Wenbo Yu, and Youdao Ma.

Yi Shen has also contributed to the publication of at least one book, titled Model-Based Fault Diagnosis, published by Springer International Publishing in 2022.

Best Publications

  • A Simple Approach to Distributed Observer Design for Linear Systems

    Weixin Han;Harry L. Trentelman;Zhenhua Wang;Yi Shen

  • Observer design for discrete-time descriptor systems: An LMI approach

    Zhenhua Wang;Yi Shen;Xiaolei Zhang;Qiang Wang

  • Interval observer design for uncertain discrete-time linear systems

    Zhenhua Wang;Cheng-Chew Lim;Yi Shen

  • 19 – Performance evaluation of image fusion techniques

    Qiang Wang;Yi Shen;Jing Jin

  • Region level based multi-focus image fusion using quaternion wavelet and normalized cut

    Yipeng Liu;Jing Jin;Qiang Wang;Yi Shen

  • Interval Estimation Methods for Discrete-Time Linear Time-Invariant Systems

    Wentao Tang;Zhenhua Wang;Ye Wang;Tarek Raissi

  • Actuator fault estimation observer design for discrete-time linear parameter-varying descriptor systems

    Zhenhua Wang;Mickael Rodrigues;Didier Theilliol;Yi Shen

  • Acoustic emission detection of rail defect based on wavelet transform and Shannon entropy

    Xin Zhang;Naizhang Feng;Yan Wang;Yi Shen

  • Structure tensor total variation-regularized weighted nuclear norm minimization for hyperspectral image mixed denoising

    Zhaojun Wu;Qiang Wang;Jing Jin;Yi Shen

  • Set-membership estimation for linear time-varying descriptor systems

    Wentao Tang;Zhenghua Wang;Qinghua Zhang;Yi Shen

  • Low rank constraint and spatial spectral total variation for hyperspectral image mixed denoising

    Qiang Wang;Zhaojun Wu;Jing Jin;Tiancheng Wang

  • Actuator fault estimation for a class of nonlinear descriptor systems

    Zhenhua Wang;Yi Shen;Xiaolei Zhang

  • A quantitative method for evaluating the performances of hyperspectral image fusion

    Qiang Wang;Yi Shen;Ye Zhang;Jian Qiu Zhang

  • Boundary extension for Hilbert-Huang transform inspired by gray prediction model

    Zhi He;Yi Shen;Qiang Wang

  • Multivariate Gray Model-Based BEMD for Hyperspectral Image Classification

    Zhi He;Qiang Wang;Yi Shen;Jing Jin

  • Adaptive fault-tolerant robust control for a linear system with adaptive fault identification

    Yi Shen;Lijun Liu;Earl H. Dowell

  • Fault detection and isolation for discrete-time descriptor systems based on H −/L ∞ observer and zonotopic residual evaluation

    Wentao Tang;Zhenhua Wang;Yi Shen

  • Kernel Sparse Multitask Learning for Hyperspectral Image Classification With Empirical Mode Decomposition and Morphological Wavelet-Based Features

    Zhi He;Qiang Wang;Yi Shen;Mingjian Sun

  • Interval estimation for discrete-time linear systems: A two-step method

    Wentao Tang;Zhenhua Wang;Yi Shen

  • Interval observer design for continuous-time linear parameter-varying systems

    Jitao Li;Zhenhua Wang;Wenhan Zhang;Tarek Raïssi

  • Fast quantitative correlation analysis and information deviation analysis for evaluating the performances of image fusion techniques

    Qiang Wang;Yi Shen;Ye Zhang;Jian Qiu Zhang

  • Fault estimation filter design for discrete-time descriptor systems

    Zhenhua Wang;Mickael Rodrigues;Didier Theilliol;Yi Shen

Frequent Co-Authors

Zhenhua Wang
Zhenhua Wang Soochow University
Yan Wang
Yan Wang Macquarie University
Didier Theilliol
Didier Theilliol University of Lorraine
Earl H. Dowell
Earl H. Dowell Duke University
Lin Liu
Lin Liu Chinese Academy of Sciences
Qing Huo Liu
Qing Huo Liu Eastern Institute of Technology, Ningbo
Cheng-Chew Lim
Cheng-Chew Lim University of Adelaide
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Peng Shi
Peng Shi University of Adelaide
Zongquan Deng
Zongquan Deng Harbin Institute of Technology

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