World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
70
Citations
19887
World Ranking
914
National Ranking
158

Weihua Gui 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 Weihua Gui 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: 799 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Weihua Gui 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 Weihua Gui 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: 70 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Weihua Gui is affiliated with Central South University in China and has contributed extensively to the fields of engineering and computer science. The primary focus of their research lies in control and systems engineering, mechanical engineering, artificial intelligence, computer vision and pattern recognition, and industrial and manufacturing engineering.

The main topics covered in their work include fault detection and control systems, mineral processing and grinding, iron and steelmaking processes, advanced control systems optimization, minerals flotation and separation techniques, industrial vision systems and defect detection, and machine fault diagnosis techniques.

The scientist has published numerous papers in several prominent venues. Frequent publication venues include:

  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Industrial Informatics
  • SSRN Electronic Journal
  • Control Engineering Practice
  • IEEE Transactions on Neural Networks and Learning Systems

Some of Weihua Gui's recent papers are:

  • Fault Diagnosis of Hydraulic Systems Based on Deep Learning Model With Multirate Data Samples, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • A Just-In-Time-Learning-Aided Canonical Correlation Analysis Method for Multimode Process Monitoring and Fault Detection, 2020, IEEE Transactions on Industrial Electronics
  • Automated Visual Defect Classification for Flat Steel Surface: A Survey, 2020, IEEE Transactions on Instrumentation and Measurement
  • Deep learning for fault-relevant feature extraction and fault classification with stacked supervised auto-encoder, 2020, Journal of Process Control
  • Estimating the State-of-Charge of Lithium-Ion Battery Using an H-Infinity Observer Based on Electrochemical Impedance Model, 2020, IEEE Access

Weihua Gui collaborates frequently with several researchers, indicating active joint research and contributions. Frequent co-authors include:

  • Chunhua Yang
  • Zhaohui Jiang
  • Keke Huang
  • Yongfang Xie

Best Publications

  • Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

    Xiaofeng Yuan;Biao Huang;Yalin Wang;Chunhua Yang

  • A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network.

    Yalin Wang;Zhuofu Pan;Xiaofeng Yuan;Chunhua Yang

  • A Distributed Dynamic Event-Triggered Control Approach to Consensus of Linear Multiagent Systems With Directed Networks

    Wenfeng Hu;Chunhua Yang;Tingwen Huang;Weihua Gui

  • Fault Detection for Non-Gaussian Processes Using Generalized Canonical Correlation Analysis and Randomized Algorithms

    Zhiwen Chen;Steven X. Ding;Tao Peng;Chunhua Yang

  • STATE TRANSITION ALGORITHM

    Xiaojun Zhou;Chunhua Yang;Weihua Gui

  • Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy

    Xiaofeng Yuan;Jiao Zhou;Biao Huang;Yalin Wang

  • Passivity-Based Asynchronous Sliding Mode Control for Delayed Singular Markovian Jump Systems

    Fanbiao Li;Chenglong Du;Chunhua Yang;Weihua Gui

  • On the application of PCA technique to fault diagnosis

    S Ding;P Zhang;E Ding;A Naik

  • Stability and Set Stability in Distribution of Probabilistic Boolean Networks

    Yuqian Guo;Rongpei Zhou;Yuhu Wu;Weihua Gui

  • Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes

    Xiaofeng Yuan;Yalin Wang;Chunhua Yang;Zhiqiang Ge

  • Fault Diagnosis of Hydraulic Systems Based on Deep Learning Model With Multirate Data Samples.

    Keke Huang;Shujie Wu;Fanbiao Li;Chunhua Yang

  • A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process

    Xiaofeng Yuan;Chen Ou;Yalin Wang;Chunhua Yang

  • A Distributed Canonical Correlation Analysis-Based Fault Detection Method for Plant-Wide Process Monitoring

    Zhiwen Chen;Yue Cao;Steven X. Ding;Kai Zhang

  • A Just-In-Time-Learning-Aided Canonical Correlation Analysis Method for Multimode Process Monitoring and Fault Detection

    Zhiwen Chen;Chang Liu;Steven X. Ding;Tao Peng

  • A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes

    Xiaofeng Yuan;Yongjie Gu;Yalin Wang;Chunhua Yang

  • A Fault-Injection Strategy for Traction Drive Control Systems

    Chunhua Yang;Chao Yang;Tao Peng;Xiaoyue Yang

  • Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network

    Unknown

  • Distributed Consensus of Second-Order Multiagent Systems With Nonconvex Velocity and Control Input Constraints

    Peng Lin;Wei Ren;Chunhua Yang;Weihua Gui

  • Research on the energy hole problem based on unequal cluster-radius for wireless sensor networks

    An-Feng Liu;Xian-You Wu;Zhi-Gang Chen;Wei-Hua Gui

  • Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE

    Xiaofeng Yuan;Chen Ou;Yalin Wang;Chunhua Yang

  • Improvement of State Feedback Controller Design for Networked Control Systems

    Bin Tang;Guo-Ping Liu;Wei-Hua Gui

  • Soft sensor model for dynamic processes based on multichannel convolutional neural network

    Xiaofeng Yuan;Shuaibin Qi;Yuri A.W. Shardt;Yalin Wang

  • Event-Based Fault Detection Filtering for Complex Networked Jump Systems

    Tiebin Wu;Fanbiao Li;Chunhua Yang;Weihua Gui

  • Distributed Optimization With Nonconvex Velocity Constraints, Nonuniform Position Constraints, and Nonuniform Stepsizes

    Peng Lin;Wei Ren;Chunhua Yang;Weihua Gui

  • Edge Detection Based on Multi-Structure Elements Morphology

    Yuqian Zhao;Weihua Gui;Zhencheng Chen

Frequent Co-Authors

Chunhua Yang
Chunhua Yang Central South University
Xiaofeng Yuan
Xiaofeng Yuan Central South University
Guisheng Zhai
Guisheng Zhai Shibaura Institute of Technology
Min Wu
Min Wu China University of Geosciences
Steven X. Ding
Steven X. Ding University of Duisburg-Essen
Yang Liu
Yang Liu Zhejiang Normal University
Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology
Youxian Sun
Youxian Sun Zhejiang University
Guo-Ping Liu
Guo-Ping Liu Southern University of Science and Technology
Peng Shi
Peng Shi University of Adelaide

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