World's Best Scientists 2026 revealed!
Juntao Fei

Juntao Fei

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
7234
World Ranking
6551
National Ranking
1217

Juntao Fei 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 Juntao Fei 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: 328 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Juntao Fei 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 Juntao Fei 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

Juntao Fei is affiliated with Hohai University in China and has a research portfolio primarily focused on engineering, with a particular emphasis on control and systems engineering. The scientist's body of work encompasses several specialized subfields including electrical and electronic engineering, artificial intelligence, computational mechanics, and energy engineering and power technology.

Their research concentrates on several main topics, reflecting a diverse interest within engineering disciplines:

  • Power Quality and Harmonics
  • Microgrid Control and Optimization
  • Adaptive Control of Nonlinear Systems
  • Advanced Adaptive Filtering Techniques
  • Advanced Sensor and Control Systems
  • Neural Networks and Applications
  • Advanced Control Systems Design

Juntao Fei has contributed to numerous academic papers, with recent publications including:

  • Fractional-Order Finite-Time Super-Twisting Sliding Mode Control of Micro Gyroscope Based on Double-Loop Fuzzy Neural Network, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • Novel Neural Network Fractional-Order Sliding-Mode Control With Application to Active Power Filter, 2021, IEEE Transactions on Systems Man and Cybernetics Systems
  • Dynamic Terminal Sliding-Mode Control for Single-Phase Active Power Filter Using New Feedback Recurrent Neural Network, 2020, IEEE Transactions on Power Electronics
  • Fuzzy Multiple Hidden Layer Recurrent Neural Control of Nonlinear System Using Terminal Sliding-Mode Controller, 2021, IEEE Transactions on Cybernetics
  • Real-Time Nonlinear Model Predictive Control of Active Power Filter Using Self-Feedback Recurrent Fuzzy Neural Network Estimator, 2021, IEEE Transactions on Industrial Electronics

The scientist frequently publishes in venues that include:

  • Mathematics
  • IEEE Access
  • IEEE Transactions on Power Electronics
  • IEEE Internet of Things Journal
  • IEEE Transactions on Fuzzy Systems

Juntao Fei has collaborated extensively with a number of co-authors, including Shixi Hou, Yunmei Fang, Yundi Chu, Mingang Hua, and Hua Chen. These collaborations illustrate a network of researchers commonly working within related fields of control systems and power electronics.

Best Publications

  • Adaptive Sliding Mode Control of Dynamic Systems Using Double Loop Recurrent Neural Network Structure

    Juntao Fei;Cheng Lu

  • Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure

    Yundi Chu;Juntao Fei;Shixi Hou

  • Adaptive sliding mode control of dynamic system using RBF neural network

    Juntao Fei;Hongfei Ding

  • Robust Adaptive Control of MEMS Triaxial Gyroscope Using Fuzzy Compensator

    Juntao Fei;Jian Zhou

  • Fractional-Order Finite-Time Super-Twisting Sliding Mode Control of Micro Gyroscope Based on Double-Loop Fuzzy Neural Network

    Juntao Fei;Zhilin Feng

  • Adaptive fractional order sliding mode controller with neural estimator

    Juntao Fei;Cheng Lu

  • Novel Neural Network Fractional-Order Sliding-Mode Control With Application to Active Power Filter

    Juntao Fei;Huan Wang;Yunmei Fang

  • Dynamic Terminal Sliding-Mode Control for Single-Phase Active Power Filter Using New Feedback Recurrent Neural Network

    Juntao Fei;Yun Chen

  • Fuzzy Multiple Hidden Layer Recurrent Neural Control of Nonlinear System Using Terminal Sliding-Mode Controller

    Juntao Fei;Yun Chen;Lunhaojie Liu;Yunmei Fang

  • Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter

    Unknown

  • Real-Time Nonlinear Model Predictive Control of Active Power Filter Using Self-Feedback Recurrent Fuzzy Neural Network Estimator

    Juntao Fei;Lunhaojie Liu

  • Adaptive fuzzy-neural-network based on RBFNN control for active power filter

    Juntao Fei;Tengteng Wang

  • Fractional Sliding Mode Control for Micro Gyroscope Based on Multilayer Recurrent Fuzzy Neural Network

    Juntao Fei;Zhe Wang;Xiao Liang;Zhilin Feng

  • Finite-Time Adaptive Fuzzy-Neural-Network Control of Active Power Filter

    Shixi Hou;Juntao Fei;Chen Chen;Yundi Chu

  • Experimental Investigation of Recurrent Neural Network Fractional-Order Sliding Mode Control of Active Power Filter

    Juntao Fei;Huan Wang

  • Disturbance Observer Based Fuzzy Sliding Mode Control of PV Grid Connected Inverter

    Yunkai Zhu;Juntao Fei

  • Double Hidden Layer Output Feedback Neural Adaptive Global Sliding Mode Control of Active Power Filter

    Juntao Fei;Yundi Chu

  • A novel adaptive sliding mode control with application to MEMS gyroscope.

    Unknown

  • Adaptive control of MEMS gyroscope using global fast terminal sliding mode control and fuzzy-neural-network

    Juntao Fei;Weifeng Yan

  • Self-Evolving Recurrent Chebyshev Fuzzy Neural Sliding Mode Control for Active Power Filter

    Unknown

  • Dynamic global proportional integral derivative sliding mode control using radial basis function neural compensator for three-phase active power filter:

    Yundi Chu;Juntao Fei;Shixi Hou

  • Adaptive Backstepping Fuzzy Neural Network Fractional-Order Control of Microgyroscope Using a Nonsingular Terminal Sliding Mode Controller

    Juntao Fei;Xiao Liang

  • Model reference adaptive sliding mode control using RBF neural network for active power filter

    Yunmei Fang;Juntao Fei;Kaiqi Ma

Frequent Co-Authors

Xinzhi Liu
Xinzhi Liu University of Waterloo

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