World's Best Scientists 2026 revealed!
Wen Yu

Wen Yu

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
47
Citations
9506
World Ranking
3207
National Ranking
7

Wen Yu publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Wen Yu sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 448 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Wen Yu D-index placement in Electronics and Electrical Engineering in 2026

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

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 47 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Wen Yu is a researcher affiliated with CINVESTAV in Mexico with a focus on engineering and computer science. Their research spans multiple subfields including artificial intelligence, control and systems engineering, civil and structural engineering, computer vision and pattern recognition, and biomedical engineering.

The main topics covered in Wen Yu's work include neural networks and applications, adaptive control of nonlinear systems, fault detection and control systems, vibration control and rheological fluids, reinforcement learning in robotics, machine learning and extreme learning machines (ELM), and adaptive dynamic programming control.

Recent publications by Wen Yu demonstrate involvement in both foundational and applied aspects of these fields. Notable papers include:

  • Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • YOLOP: You Only Look Once for Panoptic Driving Perception, 2022, Machine Intelligence Research
  • Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview, 2021, Neurocomputing
  • Model-free reinforcement learning from expert demonstrations: a survey, 2021, Artificial Intelligence Review
  • Multi-agent reinforcement learning for redundant robot control in task-space, 2020, International Journal of Machine Learning and Cybernetics

Wen Yu frequently collaborates with several scholars, including Jian Tang, Heng Xia, Adolfo Perrusquía, Xiaoou Li, and Junfei Qiao. These collaborations reflect a network of research primarily within AI, machine learning, and control systems.

The venues where Wen Yu publishes most often include the SSRN Electronic Journal, IEEE Access, arXiv (Cornell University), IEEE Transactions on Industrial Informatics, and Research Square. These journals and repositories indicate a focus on interdisciplinary research bridging theoretical advances and practical implementations.

Best Publications

  • Fuzzy identification using fuzzy neural networks with stable learning algorithms

    Wen Yu;Xiaoou Li

  • Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking

    Alexander S Poznyak;Edgar N Sanchez;Wen Yu

  • Nonlinear adaptive trajectory tracking using dynamic neural networks

    A.S. Poznyak;Wen Yu;E.N. Sanchez;J.P. Perez

  • Dynamic knowledge inference and learning under adaptive fuzzy Petri net framework

    Xiaoou Li;Wen Yu;F. Lara-Rosano

  • Some new results on system identification with dynamic neural networks

    Wen Yu;Xiaoou Li

  • Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms

    Wen Yu

  • Neural PID Control of Robot Manipulators With Application to an Upper Limb Exoskeleton

    Wen Yu;J. Rosen

  • Non-linear system modeling using LSTM neural networks

    Jesús Gonzalez;Wen Yu

  • Passive equivalence of chaos in Lorenz system

    Wen Yu

  • PID admittance control for an upper limb exoskeleton

    Wen Yu;Jacob Rosen;Xiaoou Li

  • Stable adaptive compensation with fuzzy CMAC for an overhead crane

    Wen Yu;Marco A. Moreno-Armendariz;Floriberto Ortiz Rodriguez

  • Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview

    Adolfo Perrusquía;Wen Yu

  • Advances in modeling and vibration control of building structures

    Suresh Thenozhi;Wen Yu

  • Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm

    José de Jesús Rubio;Wen Yu

  • Some stability properties of dynamic neural networks

    Wen Yu;Xiaoou Li

  • Stability Analysis of Nonlinear System Identification via Delayed Neural Networks

    Jose de Jesus Rubio;Wen Yu

  • Takagi–Sugeno Dynamic Neuro-Fuzzy Controller of Uncertain Nonlinear Systems

    Jorge Cervantes;Wen Yu;Sergio Salazar;Isaac Chairez

  • A novel linear PID controller for an upper limb exoskeleton

    Wen Yu;Jacob Rosen

  • Stability analysis of PD regulation for ball and beam system

    Wen Yu;F. Ortiz

  • Modeling and Control of Wind Turbine

    Luis Arturo Soriano;Wen Yu;Jose de Jesus Rubio

  • Identification and control of unknown chaotic systems via dynamic neural networks

    A.S. Poznyak;Wen Yu;E.N. Sanchez

Frequent Co-Authors

Tianyou Chai
Tianyou Chai Northeastern University
José de Jesús Rubio
José de Jesús Rubio Instituto Politécnico Nacional
Junfei Qiao
Junfei Qiao Beijing University of Technology
Jacob Rosen
Jacob Rosen University of California, Los Angeles
M. De la Sen
M. De la Sen University of the Basque Country
Zhanshan Wang
Zhanshan Wang Northeastern University
Huaguang Zhang
Huaguang Zhang Northeastern University

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