World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
63
Citations
14312
World Ranking
1379
National Ranking
226

Hong Wang 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 Hong Wang 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: 578 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Hong Wang 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 Hong Wang 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: 63 D-Index — 81st percentile

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

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

Overview

Hong Wang is affiliated with Northeastern University in China and has a significant body of research in engineering, with a particular focus on control and systems engineering. Their work spans several subfields, including mechanical engineering, electrical and electronic engineering, artificial intelligence, and civil and structural engineering.

Their main topics cover fault detection and control systems, traffic control and management, traffic prediction and management techniques, mineral processing and grinding, advanced control systems optimization, fractional differential equations solutions, and iron and steelmaking processes.

Hong Wang has published extensively in respected venues, including a large number of papers in:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IET conference proceedings
  • IEEE Access
  • Preprints.org

Among their recent research contributions are the following papers:

  • "Data-Driven Monitoring and Diagnosing of Abnormal Furnace Conditions in Blast Furnace Ironmaking: An Integrated PCA-ICA Method" (2020) published in IEEE Transactions on Industrial Electronics
  • "Kalman Filter-Based Data-Driven Robust Model-Free Adaptive Predictive Control of a Complicated Industrial Process" (2021) published in IEEE Transactions on Automation Science and Engineering
  • "Optimizing Signal Timing Control for Large Urban Traffic Networks Using an Adaptive Linear Quadratic Regulator Control Strategy" (2020) published in IEEE Transactions on Intelligent Transportation Systems
  • "A Novel Data-based Stochastic Distribution Control for Non-Gaussian Stochastic Systems" (2021) published in IEEE Transactions on Automatic Control
  • "Comprehensive Grassland Degradation Monitoring by Remote Sensing in Xilinhot, Inner Mongolia, China" (2020) published in Sustainability

Hong Wang frequently collaborates with colleagues including Chieh Wang, Ping Zhou, Zhong-Ping Jiang, Xiangcheng Zheng, and Tianyou Chai. These coauthors have contributed to multiple joint publications, indicating ongoing collaborative research efforts.

Best Publications

  • Actuator fault diagnosis: an adaptive observer-based technique

    H. Wang;S. Daley

  • A unified approach to controlling chaos via an LMI-based fuzzy control system design

    K. Tanaka;T. Ikeda;H.O. WAng

  • A direct adaptive neural-network control for unknown nonlinear systems and its application

    J.R. Noriega;Hong Wang

  • Bounded Dynamic Stochastic Systems: Modelling and Control

    Hong Wang

  • A fixed-time output feedback control scheme for double integrator systems ☆

    Bailing Tian;Bailing Tian;Zongyu Zuo;Xiaomo Yan;Hong Wang

  • Brief paper: On the use of adaptive updating rules for actuator and sensor fault diagnosis

    Hong Wang;Zhen J. Huang;Steve Daley

  • Bounded Dynamic Stochastic Systems

    Hong Wang

  • Descriptor observer approaches for multivariable systems with measurement noises and application in fault detection and diagnosis

    Zhiwei Gao;Zhiwei Gao;Hong Wang

  • Fault Estimation for a Class of Nonlinear Systems Based on Intermediate Estimator

    Jun-Wei Zhu;Guang-Hong Yang;Hong Wang;Fuli Wang

  • A fuzzy Lyapunov approach to fuzzy control system design

    K. Tanaka;T. Hori;H.O. Wang

  • Fault detection and diagnosis for general stochastic systems using B-spline expansions and nonlinear filters

    Lei Guo;Hong Wang

  • Minimum entropy control of non-Gaussian dynamic stochastic systems

    H. Wang

  • Minimum entropy control of non-Gaussian dynamic stochastic systems

    Hong Wang;Hong Yue

  • Design of fault diagnosis filters and fault-tolerant control for a class of nonlinear systems

    R. Kabore;H. Wang

  • Insights into the behaviour of systems biology models from dynamic sensitivity and identifiability analysis: a case study of an NF-κB signalling pathway

    Hong Yue;Martin Brown;Joshua Knowles;Hong Wang

  • On wind speed pattern and energy potential in China

    Fa Liu;Fubao Sun;Wenbin Liu;Tingting Wang

  • Robust control of the output probability density functions for multivariable stochastic systems with guaranteed stability

    Hong Wang

  • Intelligent Optimal-Setting Control for Grinding Circuits of Mineral Processing Process

    Ping Zhou;Tianyou Chai;Hong Wang

  • Design of new fault diagnosis and fault tolerant control scheme for non-Gaussian singular stochastic distribution systems

    Lina Yao;Jifeng Qin;Hong Wang;Bin Jiang

  • PID controller design for output PDFs of stochastic systems using linear matrix inequalities

    Lei Guo;Hong Wang

Frequent Co-Authors

Tianyou Chai
Tianyou Chai Northeastern University
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Zhiwei Gao
Zhiwei Gao Northumbria University
Wenbin Liu
Wenbin Liu Chinese Academy of Sciences
Chun-Yi Su
Chun-Yi Su Concordia University
Yongji Wang
Yongji Wang Huazhong University of Science and Technology
Bailing Tian
Bailing Tian Tianjin University
Ying Li
Ying Li Nanjing Agricultural University
Luo Zhang
Luo Zhang Capital Medical University
Claus Bachert
Claus Bachert Karolinska Institute

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Related Online Degrees & Career Pathways

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Those interested in comprehensive studies may consider pursuing a bachelor degree in project management, enhancing their credentials and versatility in the job market. This path complements an engineering background by emphasizing planning and execution skills crucial for large-scale projects.

Moreover, careers in electronics and electrical engineering can suit various personality types. For introverted individuals, the field offers roles that align well with their work style, as highlighted in the list of careers for introverts. Understanding these pathways helps students choose degrees and careers that fit their strengths and goals.

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