World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
57
Citations
9915
World Ranking
2009
National Ranking
69

Computer Science

D-Index
59
Citations
10343
World Ranking
3494
National Ranking
104

Shiping Wen 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 Shiping Wen 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: 201 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Shiping Wen 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 Shiping Wen 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: 57 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Shiping Wen is affiliated with the University of Technology Sydney in Australia. Their research spans multiple areas within computer science and engineering, with a focus on neural networks, synchronization, and stability analysis.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these areas, Shiping Wen has contributed to several subfields such as:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Statistical and Nonlinear Physics
  • Cognitive Neuroscience

Their work centers on a range of topics including:

  • Neural Networks Stability and Synchronization
  • Advanced Memory and Neural Computing
  • Stochastic Dynamics and Bifurcation
  • Neural Networks and Applications
  • Neural Dynamics and Brain Function
  • Smart Grid Security and Resilience
  • Network Security and Intrusion Detection

Shiping Wen has co-authored research with frequent collaborators including Yuting Cao, Tingwen Huang, Bo Sun, Zhenyuan Guo, and Zheng Yan.

They have published multiple papers in several academic venues, notably:

  • Journal of the Franklin Institute (3 papers)
  • Information Sciences (2 papers)
  • Neural Networks (2 papers)
  • Neurocomputing (2 papers)
  • Applied Mathematics and Computation (1 paper)

Representative recent publications include:

  • "Event-triggered distributed control for synchronization of multiple memristive neural networks under cyber-physical attacks" (2020, Information Sciences)
  • "Novel methods to finite-time Mittag-Leffler synchronization problem of fractional-order quaternion-valued neural networks" (2020, Information Sciences)
  • "Synchronization of discrete-time recurrent neural networks with time-varying delays via quantized sliding mode control" (2020, Applied Mathematics and Computation)
  • "Exponential synchronization of memristive neural networks with time-varying delays via quantized sliding-mode control" (2020, Neural Networks)
  • "Finite-time stability of coupled impulsive neural networks with time-varying delays and saturating actuators" (2020, Neurocomputing)

Best Publications

  • Synchronization control of a class of memristor-based recurrent neural networks

    Ailong Wu;Shiping Wen;Zhigang Zeng

  • Event-Triggering Load Frequency Control for Multiarea Power Systems With Communication Delays

    Shiping Wen;Xinghuo Yu;Zhigang Zeng;Jinjian Wang

  • Lag Synchronization of Switched Neural Networks via Neural Activation Function and Applications in Image Encryption

    Shiping Wen;Zhigang Zeng;Tingwen Huang;Qinggang Meng

  • Exponential Adaptive Lag Synchronization of Memristive Neural Networks via Fuzzy Method and Applications in Pseudorandom Number Generators

    Shiping Wen;Zhigang Zeng;Tingwen Huang;Yide Zhang

  • Fuzzy Control for Uncertain Vehicle Active Suspension Systems via Dynamic Sliding-Mode Approach

    Shiping Wen;Michael Z. Q. Chen;Zhigang Zeng;Xinghuo Yu

  • A short-term power load forecasting model based on the generalized regression neural network with decreasing step fruit fly optimization algorithm

    Rui Hu;Shiping Wen;Zhigang Zeng;Tingwen Huang

  • CLU-CNNs: Object detection for medical images

    Zhuoling Li;Minghui Dong;Shiping Wen;Xiang Hu

  • Global exponential synchronization of memristor-based recurrent neural networks with time-varying delays

    Shiping Wen;Gang Bao;Zhigang Zeng;Yiran Chen

  • Circuit design and exponential stabilization of memristive neural networks

    Shiping Wen;Tingwen Huang;Zhigang Zeng;Yiran Chen

  • Exponential stability analysis of memristor-based recurrent neural networks with time-varying delays

    Shiping Wen;Zhigang Zeng;Tingwen Huang

  • Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control

    Shiping Wen;Zhigang Zeng;Michael Z. Q. Chen;Tingwen Huang

  • A modified Elman neural network with a new learning rate scheme

    Guanghua Ren;Yuting Cao;Shiping Wen;Tingwen Huang

  • Memristive LSTM Network for Sentiment Analysis

    Shiping Wen;Huaqiang Wei;Yin Yang;Zhenyuan Guo

  • Aperiodic Sampled-Data Sliding-Mode Control of Fuzzy Systems With Communication Delays Via the Event-Triggered Method

    Shiping Wen;Tingwen Huang;Xinghuo Yu;Michael Z. Q. Chen

  • Synchronization of memristive neural networks with leakage delay and parameters mismatch via event-triggered control.

    Yuting Cao;Shengbo Wang;Zhenyuan Guo;Tingwen Huang

  • Adjusting Learning Rate of Memristor-Based Multilayer Neural Networks via Fuzzy Method

    Shiping Wen;Shuixin Xiao;Yin Yang;Zheng Yan

  • Implementation of Memristive Neural Network With Full-Function Pavlov Associative Memory

    Xiaoyang Liu;Zhigang Zeng;Shiping Wen

  • Memristor-Based Echo State Network With Online Least Mean Square

    Shiping Wen;Rui Hu;Yin Yang;Tingwen Huang

  • Generating Realistic Videos From Keyframes With Concatenated GANs

    Shiping Wen;Weiwei Liu;Yin Yang;Tingwen Huang

  • Passivity Analysis of Delayed Reaction-Diffusion Memristor-Based Neural Networks

    Yanyi Cao;Yuting Cao;Shiping Wen;Tingwen Huang

Frequent Co-Authors

Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology
Zhigang Zeng
Zhigang Zeng Huazhong University of Science and Technology
Zheng Yan
Zheng Yan Xidian University
Yin Yang
Yin Yang Hamad bin Khalifa University
Xinghuo Yu
Xinghuo Yu RMIT University
Michael Z. Q. Chen
Michael Z. Q. Chen Nanjing University of Science and Technology
Pan Zhou
Pan Zhou Huazhong University of Science and Technology
Peng Li
Peng Li University of California, Santa Barbara
Chuandong Li
Chuandong Li Southwest University
Jinde Cao
Jinde Cao Southeast University

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