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Biao Huang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 85 384 374 17 16 643 28292

Biao Huang publications per year

The chart shows the history of publications by Biao Huang between 1995 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Biao Huang published across 31 years, from 1995 to 2025, averaging 31.6 papers a year. Output peaked at 85 publications in 2024. 167 of the 980 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1995 to 2025. Vertical axis: number of publications, 0 to 85. Peak 85 publications in 2024. 1995: 1 publication 1996: 2 publications 1997: 9 publications 1998: 2 publications 1999: 25 publications 2000: 10 publications 2001: 10 publications 2002: 11 publications 2003: 13 publications 2004: 14 publications 2005: 14 publications 2006: 16 publications 2007: 22 publications 2008: 34 publications 2009: 27 publications 2010: 19 publications 2011: 28 publications 2012: 38 publications 2013: 38 publications 2014: 28 publications 2015: 35 publications 2016: 46 publications 2017: 39 publications 2018: 41 publications 2019: 40 publications 2020: 40 publications 2021: 64 publications 2022: 72 publications 2023: 75 publications 2024: 85 publications 2025: 82 publications
1995 2025

980 publications in total across all disciplines

View publications per year as a table
Biao Huang: publications per year, 1995 to 2025
Year Publications
1995 1
1996 2
1997 9
1998 2
1999 25
2000 10
2001 10
2002 11
2003 13
2004 14
2005 14
2006 16
2007 22
2008 34
2009 27
2010 19
2011 28
2012 38
2013 38
2014 28
2015 35
2016 46
2017 39
2018 41
2019 40
2020 40
2021 64
2022 72
2023 75
2024 85
2025 82
Total 980
Download as CSV

Biao Huang 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 Biao Huang 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, 634–653 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: 643 publications — 92nd percentile

92% 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
594–613 69
614–633 50
634–653 62 643
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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Biao Huang 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 Biao Huang 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, 85 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: 85 D-Index — 95th percentile

95% 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
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 85
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
Download as CSV

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to and application of Bayesian soft-sensing for control performance monitoring

Overview

Biao Huang is affiliated with the University of Alberta in Canada. Their research is primarily situated within the field of Engineering, with a particular focus on Control and Systems Engineering, which accounts for the majority of their publications. Additional subfields of study include Artificial Intelligence, Mechanical Engineering, Statistics, Probability and Uncertainty, and Electrical and Electronic Engineering.

The scientist's work spans a variety of main research topics, including:

  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Control Systems and Identification
  • Mineral Processing and Grinding
  • Advanced Statistical Process Monitoring
  • Spectroscopy and Chemometric Analyses
  • Iterative Learning Control Systems

Biao Huang has published numerous papers in several key venues, reflecting consistent engagement with journals focused on chemical engineering and control systems. Frequent publication venues include:

  • Computers & Chemical Engineering
  • Journal of Process Control
  • SSRN Electronic Journal
  • IEEE Transactions on Cybernetics
  • arXiv (Cornell University)

Some of the recent papers authored or co-authored by Biao Huang are as follows:

  • "A review On reinforcement learning: Introduction and applications in industrial process control," 2020, Computers & Chemical Engineering
  • "Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning," 2022, IEEE Transactions on Neural Networks and Learning Systems
  • "Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives," 2023, IEEE Transactions on Neural Networks and Learning Systems
  • "Reinforcement learning approach to autonomous PID tuning," 2022, Computers & Chemical Engineering

The scientist has collaborated extensively with several frequent co-authors, notably:

  • Ronghu Chi
  • Chunhui Zhao
  • Hongtian Chen
  • Zhongsheng Hou
  • Ranjith Chiplunkar

Biao Huang was awarded the IEEE Fellow distinction in 2018 for contributions to and applications of Bayesian soft-sensing for control performance monitoring.

Best Publications

  • A new method for stabilization of networked control systems with random delays

    Liqian Zhang;Yang Shi;Tongwen Chen;Biao Huang

  • Data Mining and Analytics in the Process Industry: The Role of Machine Learning

    Zhiqiang Ge;Zhihuan Song;Steven X. Ding;Biao Huang

  • Performance Assessment of Control Loops: Theory and Applications

    Biao Huang;S. L. Shah;M. A. Johnson;M. J. Grimble

  • A review On reinforcement learning: Introduction and applications in industrial process control

    Rui Nian;Jinfeng Liu;Biao Huang

  • 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

  • Performance Assessment of Control Loops

    Biao Huang;Sirish L. Shah

  • Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives

    Hongtian Chen;Bin Jiang;Steven X. Ding;Biao Huang

  • Dynamic Modeling, Predictive Control and Performance Monitoring: A Data-driven Subspace Approach

    Biao Huang;Ramesh Kadali

  • Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference

    Qingchao Jiang;Xuefeng Yan;Biao Huang

  • Subspace method aided data-driven design of fault detection and isolation systems

    S.X. Ding;P. Zhang;A. Naik;E.L. Ding

  • Good, bad or optimal? Performance assessment of multivariable processes

    B. Huang;S. L. Shah;E. K. Kwok

  • Detection of multiple oscillations in control loops

    N.F Thornhill;B Huang;H Zhang

  • Review and Perspectives of Data-Driven Distributed Monitoring for Industrial Plant-Wide Processes

    Qingchao Jiang;Xuefeng Yan;Biao Huang

  • Design of inferential sensors in the process industry: A review of Bayesian methods

    Shima Khatibisepehr;Biao Huang;Swanand Khare

  • A full-condition monitoring method for nonstationary dynamic chemical processes with cointegration and slow feature analysis

    Chunhui Zhao;Biao Huang

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

    Xiaofeng Yuan;Jiao Zhou;Biao Huang;Yalin Wang

  • Closed-loop subspace identification: an orthogonal projection approach

    Biao Huang;Steven X. Ding;S.Joe Qin

  • A data driven subspace approach to predictive controller design

    Ramesh Kadali;Biao Huang;Anthony Rossiter

  • Survey on the theoretical research and engineering applications of multivariate statistics process monitoring algorithms: 2008–2017

    Youqing Wang;Yabin Si;Biao Huang;Zhijiang Lou

  • H∞ model reduction of Markovian jump linear systems☆

    Liqian Zhang;Biao Huang;James Lam

Frequent Co-Authors

Sirish L. Shah
Sirish L. Shah University of Alberta
Fei Liu
Fei Liu Jiangnan University
Ronghu Chi
Ronghu Chi Qingdao University of Science and Technology
Tongwen Chen
Tongwen Chen University of Alberta
Steven X. Ding
Steven X. Ding University of Duisburg-Essen
Zhongsheng Hou
Zhongsheng Hou Qingdao University
Zidong Wang
Zidong Wang Brunel University London
Chunhui Zhao
Chunhui Zhao Zhejiang University
Jinfeng Liu
Jinfeng Liu University of Alberta
Nina F. Thornhill
Nina F. Thornhill Imperial College London

External Links

Personal website of Biao Huang Google Scholar page

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Related Online Degrees & Career Pathways

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Best Scientists Citing Biao Huang

Zidong Wang

Zidong Wang

Brunel University London

Publications: 82

Zhiqiang Ge

Zhiqiang Ge

Zhejiang University

Publications: 76

Steven X. Ding

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University of Duisburg-Essen

Publications: 70

Huijun Gao

Huijun Gao

Harbin Institute of Technology

Publications: 68

Sirish L. Shah

Sirish L. Shah

University of Alberta

Publications: 64

Zhihuan Song

Zhihuan Song

Zhejiang University

Publications: 60

Peng Shi

Peng Shi

University of Adelaide

Publications: 56

Tongwen Chen

Tongwen Chen

University of Alberta

Publications: 54

Shen Yin

Shen Yin

Norwegian University of Science and Technology

Publications: 53

Junghui Chen

Junghui Chen

Chung Yuan Christian University

Publications: 43

Yang Shi

Yang Shi

University of Victoria

Publications: 42

Guang-Hong Yang

Guang-Hong Yang

Northeastern University

Publications: 41

Fei Liu

Fei Liu

Jiangnan University

Publications: 40

Nina F. Thornhill

Nina F. Thornhill

Imperial College London

Publications: 39

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Xiaofeng Yuan

Central South University

Publications: 38

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Prashant Mhaskar

McMaster University

Publications: 38

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