World's Best Scientists 2026 revealed!
Tielong Shen

Tielong Shen

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
5855
World Ranking
8364
National Ranking
177

Tielong 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 Tielong 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: 446 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Tielong 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 Tielong 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: 37 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Tielong Shen is affiliated with Sophia University in Japan and has contributed extensively to the fields of Engineering and Materials Science. Their research spans multiple subfields, prominently including Materials Chemistry, Automotive Engineering, Mechanical Engineering, Electrical and Electronic Engineering, and Control and Systems Engineering.

Shen's main research topics cover a variety of areas such as:

  • Nuclear Materials and Properties
  • Fusion Materials and Technologies
  • Electric and Hybrid Vehicle Technologies
  • Electric Vehicles and Infrastructure
  • Advanced Materials and Composites
  • Advanced Battery Technologies Research
  • Ion-surface Interactions and Analysis

Frequent publication venues where this scientist has published include:

  • SSRN Electronic Journal
  • Applied Energy
  • Corrosion Science
  • Control Theory and Technology
  • IFAC-PapersOnLine

Recent research papers by Tielong Shen include:

  • "Bearing-Based Adaptive Neural Formation Scaling Control for Autonomous Surface Vehicles With Uncertainties and Input Saturation" (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • "Optimal control of power-split hybrid electric powertrains with minimization of energy consumption" (2020), published in Applied Energy
  • "Look-Ahead Prediction-Based Real-Time Optimal Energy Management for Connected HEVs" (2020), published in IEEE Transactions on Vehicular Technology
  • "Microstructure and mechanical properties of SPS sintered Al2O3-ZrO2 (3Y)-SiC ceramic composites" (2020), published in Materials Science and Engineering A
  • "Gaussian Mixture Model Clustering-Based Knock Threshold Learning in Automotive Engines" (2020), published in IEEE/ASME Transactions on Mechatronics

Frequent co-authors collaborating with this researcher include:

  • Zhiguang Wang
  • Peng Jin
  • Minghuan Cui
  • Zhenhui Xu

Best Publications

  • Transient stabilization of multimachine power systems with nontrivial transfer conductances

    R. Ortega;M. Galaz;A. Astolfi;Yuanzhang Sun

  • Adaptive feedback control of nonlinear time-delay systems: the LaSalle-Razumikhin-based approach

    Xiaohong Jiao;T. Shen

  • Optimal control of Boolean control networks with average cost: A policy iteration approach

    Yuhu Wu;Xi-Ming Sun;Xudong Zhao;Tielong Shen

  • Adaptive L2 Disturbance Attenuation Of Hamiltonian Systems With Parametric Perturbation And Application To Power Systems

    Tielong Shen;Romeo Ortega;Qiang Lu;Shengwei Mei

  • Robust passivity and feedback design for minimum-phase nonlinear systems with structureal uncertainty

    We Lin;Tielong Shen

  • Robust H/sub /spl infin// control of uncertain nonlinear system via state feedback

    T. Shen;K. Tamura

  • Brief Adaptive nonlinear excitation control with L2 disturbance attenuation for power systems

    Tielong Shen;Shengwei Mei;Qiang Lu;Wei Hu

  • A Finite Convergence Criterion for the Discounted Optimal Control of Stochastic Logical Networks

    Yuhu Wu;Tielong Shen

  • An Adaptive Servo Control Strategy for Automotive Electronic Throttle and Experimental Validation

    Xiaohong Jiao;Jiangyan Zhang;Tielong Shen

  • Real-Time Fuel Economy Optimization With Nonlinear MPC for PHEVs

    Jiangyan Zhang;Tielong Shen

  • An algebraic expression of finite horizon optimal control algorithm for stochastic logical dynamical systems

    Yuhu Wu;Yuhu Wu;Tielong Shen

  • Nonlinear decentralized disturbance attenuation excitation control via new recursive design for multi-machine power systems

    Q. Lu;S. Mei;H. Hu;F. F. Wu

  • Bearing-Based Adaptive Neural Formation Scaling Control for Autonomous Surface Vehicles With Uncertainties and Input Saturation

    Yu Lu;Changyun Wen;Tielong Shen;Weidong Zhang

  • Policy Iteration Approach to Control Residual Gas Fraction in IC Engines Under the Framework of Stochastic Logical Dynamics

    Yuhu Wu;Tielong Shen

  • Optimal control of power-split hybrid electric powertrains with minimization of energy consumption

    Bo Zhang;Jiangyan Zhang;Fuguo Xu;Tielong Shen

  • Oxygen excess ratio control of PEM fuel cells using observer-based nonlinear triple-step controller

    Yan Ma;Fan Zhang;Jinwu Gao;Hong Chen

  • Analysis and Design of Nonlinear Control Systems

    Dai-Zhan Cheng;Xiaoming Hu;Tielong Shen

  • Look-Ahead Prediction-Based Real-Time Optimal Energy Management for Connected HEVs

    Fuguo Xu;Tielong Shen

  • Adaptive nonlinear co-ordinated excitation and STATCOM controller based on Hamiltonian structure for multimachine-power-system stability enhancement

    Q.J. Liu;Y.Z. Sun;T.L. Shen;Y.H. Song

  • A stochastic logical system approach to model and optimal control of cyclic variation of residual gas fraction in combustion engines

    Yuhu Wu;Yuhu Wu;Madan Kumar;Tielong Shen

  • Robust H control of a Hamiltonian system with uncertainty and its application to a multi-machine power system

    S. Mei;T. Shen;W. Hu;Q. Lu

Frequent Co-Authors

Daizhan Cheng
Daizhan Cheng Chinese Academy of Sciences
Yuanzhang Sun
Yuanzhang Sun Wuhan University
Xiaoming Hu
Xiaoming Hu Royal Institute of Technology
Romeo Ortega
Romeo Ortega Instituto Tecnológico Autónomo de México
Shengwei Mei
Shengwei Mei Tsinghua University
Riccardo Marino
Riccardo Marino University of Rome Tor Vergata
Alessandro Astolfi
Alessandro Astolfi King Abdullah University of Science and Technology
Xi-Ming Sun
Xi-Ming Sun Dalian University of Technology
Hong Chen
Hong Chen Tongji University
Lars Eriksson
Lars Eriksson Linköping University

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