Biao Huang

Active 1997–2026

626
Papers
33,514
Citations
91
h-index
434
i10-index

Citations

Citations per year for Biao Huang1966: 3 citations1980: 2 citations1987: 2 citations1991: 1 citations1995: 1 citations1997: 2 citations1999: 2 citations2000: 2 citations2001: 7 citations2002: 23 citations2003: 29 citations2004: 24 citations2005: 30 citations2006: 46 citations2007: 62 citations2008: 96 citations2009: 124 citations2010: 109 citations2011: 112 citations2012: 128 citations2013: 115 citations2014: 181 citations2015: 216 citations2016: 304 citations2017: 396 citations2018: 591 citations2019: 1,086 citations2020: 1,152 citations2021: 1,503 citations2022: 1,553 citations2023: 1,592 citations2024: 1,805 citations2025: 1,373 citations2026: 233 citations2027: 3 citations1967–1979: no citations, so these years are not shown1981–1986: no citations, so these years are not shown1988–1990: no citations, so these years are not shown1992–1994: no citations, so these years are not shown1996: no citations, so this year is not shown1998: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 6,134 citing papers, 43.7% of this breakdownUnited States: 1,290 citing papers, 9.2% of this breakdownCanada: 743 citing papers, 5.3% of this breakdownUnited Kingdom: 602 citing papers, 4.3% of this breakdownGermany: 372 citing papers, 2.6% of this breakdownIndia: 352 citing papers, 2.5% of this breakdownAustralia: 329 citing papers, 2.3% of this breakdownItaly: 273 citing papers, 1.9% of this breakdownHong Kong: 260 citing papers, 1.9% of this breakdownSouth Korea: 244 citing papers, 1.7% of this breakdownFrance: 220 citing papers, 1.6% of this breakdownIran: 214 citing papers, 1.5% of this breakdown
0%43.7%Other 21.5%

Fields

  • Engineering52.8%
  • Computer Science15.9%
  • Environmental Science8.8%
  • Medicine6.9%
  • Biochemistry, Genetics and Molecular Biology6%
  • Materials Science2%
  • Other7.6%

Topics

  • Fault Detection and Control Systems10.1%
  • Advanced Control Systems Optimization5%
  • Control Systems and Identification3.8%
  • Stability and Control of Uncertain Systems2.9%
  • Geochemistry and Geologic Mapping2.3%
  • Heavy metals in environment2.2%
  • Other73.7%

Coauthors

All papers

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

    Authors: , , - Computers & Chemical Engineering, Comput. Chem. Eng. 2020 cited by 687

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

    Authors: , , , - IEEE Transactions on Intelligent Transportation Systems, IEEE Trans. Intell. Transp. Syst. 2020 cited by 508

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

    Authors: , , , , - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2018 cited by 622

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

    Authors: , , , - IEEE Access 2017 cited by 895

  5. A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data

    Authors: , , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2021 cited by 123

  6. Supervised Variational Autoencoders for Soft Sensor Modeling With Missing Data

    Authors: , , , , - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2019 cited by 165

  7. Reinforcement Learning Approach to Autonomous PID Tuning

    Authors: , , , , , , , , - American Control Conference (ACC) 2022 cited by 141

  8. Model Predictive Control

    Authors: , , , , - Journal of Control Science and Engineering 2012 cited by 464

  9. Source identification of heavy metals in peri-urban agricultural soils of southeast China: An integrated approach

    Authors: , , , , , , , - Environmental Pollution 2018 cited by 385

  10. Reinforcement Learning in Process Industries: Review and Perspective

    Authors: , , , , , , , , - IEEE/CAA Journal of Automatica Sinica, IEEE CAA J. Autom. Sinica 2024 cited by 87

  11. MoniNet With Concurrent Analytics of Temporal and Spatial Information for Fault Detection in Industrial Processes

    Authors: , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2021 cited by 107

  12. Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates

    Authors: , , , , - IEEE Transactions on Automatic Control, IEEE Trans. Autom. Control. 2022 cited by 129

  13. Fault Detection for Nonlinear Dynamic Systems With Consideration of Modeling Errors: A Data-Driven Approach

    Authors: , , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2022 cited by 81

  14. Natural skin-inspired versatile cellulose biomimetic hydrogels

    Authors: , , , , , , , , - Journal of Materials Chemistry A 2019 cited by 346

  15. One-Pot Assembly of Microfibrillated Cellulose Reinforced PVA–Borax Hydrogels with Self-Healing and pH-Responsive Properties

    Authors: , , , , , , , - ACS Sustainable Chemistry & Engineering 2016 cited by 289

  16. Spatial distribution, ecological risk and sources of heavy metals in soils from a typical economic development area, Southeastern China

    Authors: , , , , , - The Science of The Total Environment 2021 cited by 233

  17. Discrete-Time Extended State Observer-Based Model-Free Adaptive Control Via Local Dynamic Linearization

    Authors: , , , , - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2019 cited by 126

  18. Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies

    Authors: , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2021 cited by 105

  19. Active Disturbance Rejection Control for Nonaffined Globally Lipschitz Nonlinear Discrete-Time Systems

    Authors: , , , - IEEE Transactions on Automatic Control, IEEE Trans. Autom. Control. 2021 cited by 92

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

    Authors: , , , , , - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2019 cited by 281

  21. Extended State Observer-Based Data-Driven Iterative Learning Control for Permanent Magnet Linear Motor With Initial Shifts and Disturbances

    Authors: , , , - IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Trans. Syst. Man Cybern. Syst. 2019 cited by 131

  22. Generation of patterned kidney organoids that recapitulate the adult kidney collecting duct system from expandable ureteric bud progenitors

    Authors: , , , , , , , , , , , , , , , , - Nature Communications 2021 cited by 122

  23. Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning

    Authors: , , , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2009 cited by 121

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

    Authors: , , - Industrial & Engineering Chemistry Research 2019 cited by 293