World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 63 1379 1317 226 224 578 14312

Hong Wang publications per year

The chart shows the history of publications by Hong Wang between 1986 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hong Wang published across 41 years, from 1986 to 2026, averaging 21.9 papers a year. Output peaked at 97 publications in 2023. 72 of the 899 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1986 to 2026. Vertical axis: number of publications, 0 to 97. Peak 97 publications in 2023. 1986: 11 publications 1987: 6 publications 1988: 2 publications 1989: 4 publications 1990: 3 publications 1991: 9 publications 1992: 7 publications 1993: 14 publications 1994: 8 publications 1995: 6 publications 1996: 12 publications 1997: 9 publications 1998: 13 publications 1999: 11 publications 2000: 14 publications 2001: 17 publications 2002: 13 publications 2003: 18 publications 2004: 24 publications 2005: 30 publications 2006: 41 publications 2007: 32 publications 2008: 36 publications 2009: 37 publications 2010: 38 publications 2011: 29 publications 2012: 27 publications 2013: 18 publications 2014: 23 publications 2015: 26 publications 2016: 11 publications 2017: 13 publications 2018: 17 publications 2019: 8 publications 2020: 14 publications 2021: 22 publications 2022: 41 publications 2023: 97 publications 2024: 66 publications 2025: 69 publications 2026: 3 publications
1986 2026

899 publications in total across all disciplines

View publications per year as a table
Hong Wang: publications per year, 1986 to 2026
Year Publications
1986 11
1987 6
1988 2
1989 4
1990 3
1991 9
1992 7
1993 14
1994 8
1995 6
1996 12
1997 9
1998 13
1999 11
2000 14
2001 17
2002 13
2003 18
2004 24
2005 30
2006 41
2007 32
2008 36
2009 37
2010 38
2011 29
2012 27
2013 18
2014 23
2015 26
2016 11
2017 13
2018 17
2019 8
2020 14
2021 22
2022 41
2023 97
2024 66
2025 69
2026 3
Total 899
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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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 574–593 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58 578
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 63 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74 63
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
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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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