World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
5312
World Ranking
5553
National Ranking
162

Jie Bao 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 Jie Bao 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: 281 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Jie Bao 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 Jie Bao 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: 35 D-Index — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Overview

Jie Bao is affiliated with the University of New South Wales in Australia. Their research primarily concentrates on engineering, with a significant volume of work in control and systems engineering, electrical and electronic engineering, and mechanical engineering. Additional subfields include biomedical engineering and fluid flow and transfer processes.

Their research topics cover a range of specialized areas, including advanced control systems optimization, fault detection and control systems, control systems and identification, control and stability of dynamical systems, fuel cells and related materials, mineral processing and grinding, and molten salt chemistry and electrochemical processes.

Jie Bao has contributed extensively to academic literature. Notable recent papers include:

  • Dynamic model based membrane permeability estimation for online SOC imbalances monitoring of vanadium redox flow batteries, 2021, Journal of Energy Storage
  • A Unified Probabilistic Monitoring Framework for Multimode Processes Based on Probabilistic Linear Discriminant Analysis, 2020, IEEE Transactions on Industrial Informatics
  • A combined data-driven and discrete modelling approach to predict particle flow in rotating drums, 2020, Chemical Engineering Science
  • A data-based soft-sensor approach to estimating raceway depth in ironmaking blast furnaces, 2021, Powder Technology
  • Effect of aliphatic segment length and content on crystallization and biodegradation properties of aliphatic-aromatic co-polyesters, 2022, Polymer Degradation and Stability

Their frequent co-authors include Maria Skyllas-Kazacos, Yitao Yan, Barry J. Welch, Ryan McCloy, and Biao Huang. Collaboration with these researchers reflects a consistent engagement with experts across various domains related to control systems and materials science.

Jie Bao publishes regularly in several academic venues. Key publication outlets include:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • Journal of Process Control
  • SSRN Electronic Journal
  • Journal of Energy Storage

This profile presents a comprehensive overview of Jie Bao's research activities, which are marked by a focus on engineering control systems, applied electrochemical processes, and materials engineering. Their academic contributions span both theoretical frameworks and practical applications, reflecting a multidisciplinary approach to engineering challenges.

Best Publications

  • Studies on pressure losses and flow rate optimization in vanadium redox flow battery

    Ao Tang;Jie Bao;Maria Skyllas-Kazacos

  • Process Control: The Passive Systems Approach

    Jie Bao;Peter L. Lee;B. Erik Ydstie

  • 1 kW/1 kWh advanced vanadium redox flow battery utilizing mixed acid electrolytes

    Soowhan Kim;Edwin Thomsen;Guanguang Xia;Zimin Nie

  • Thermal modelling and simulation of the all-vanadium redox flow battery

    Ao Tang;Simon Ting;Jie Bao;Maria Skyllas-Kazacos

  • Investigation of the effect of shunt current on battery efficiency and stack temperature in vanadium redox flow battery

    Ao Tang;John McCann;Jie Bao;Maria Skyllas-Kazacos

  • Robust Multiloop PID Controller Design: A Successive Semidefinite Programming Approach

    J. Bao;J. F. Forbes;P. J. Mclellan

  • Distributed model predictive control based on dissipativity

    Michael James Tippett;Jie Bao

  • A dynamic plug flow reactor model for a vanadium redox flow battery cell

    Yifeng Li;Maria Skyllas-Kazacos;Jie Bao

  • Studies on optimal charging conditions for vanadium redox flow batteries

    Yifeng Li;Xinan Zhang;Jie Bao;Maria Skyllas-Kazacos

  • Decentralized fault-tolerant control system design for unstable processes

    Jie Bao;Wen Z. Zhang;Peter L. Lee

  • Distributed control of plantwide chemical processes

    Shichao Xu;Jie Bao

  • Dynamic Operability Analysis of Nonlinear Process Networks Based on Dissipativity

    Osvaldo J. Rojas;Ridwan Setiawan;Jie Bao;Peter L. Lee

  • Dissipativity based distributed economic model predictive control for residential microgrids with renewable energy generation and battery energy storage

    Xinan Zhang;Jie Bao;Ruigang Wang;Chaoxu Zheng

  • On dissipativity, passivity and dynamic operability of nonlinear processes

    Osvaldo J. Rojas;Jie Bao;Peter L. Lee

  • Machine Learning Coupled Multi‐Scale Modeling for Redox Flow Batteries

    Jie Bao;Vijayakumar Murugesan;Carl Justin Kamp;Yuyan Shao

  • Identification of discrete-time output error model for industrial processes with time delay subject to load disturbance

    Shijian Dong;Tao Liu;Wei Wang;Jie Bao

  • Estimation of spatial alumina concentration in an aluminum reduction cell using a multilevel state observer

    Yuchen Yao;Cheuk-Yi Cheung;Jie Bao;Maria Skyllas-Kazacos

  • The Mechanism and Modelling of Shunt Current in the Vanadium Redox Flow Battery

    Maria Skyllas-Kazacos;John McCann;Yifeng Li;Jie Bao

  • Control of electrolyte flow rate for the vanadium redox flow battery by gain scheduling

    Yifeng Li;Xinan Zhang;Jie Bao;Maria Skyllas-Kazacos

  • Identification of MIMO Hammerstein systems using cardinal spline functions

    Kwong Ho Chan;Jie Bao;William J. Whiten

  • A study on model predictive control in paste thickeners with rake torque constraint

    Chee Keong Tan;Jie Bao;Götz Bickert

  • Characterization of Individual Anode Current Signals in Aluminum Reduction Cells

    Cheuk-Yi Cheung;Chris Menictas;Jie Bao;Maria Skyllas-Kazacos

Frequent Co-Authors

Maria Skyllas-Kazacos
Maria Skyllas-Kazacos University of New South Wales
Dianne E. Wiley
Dianne E. Wiley University of Sydney
Xinan Zhang
Xinan Zhang University of Western Australia
Maoyi Huang
Maoyi Huang Pacific Northwest National Laboratory
Aibing Yu
Aibing Yu Monash University
Guang Lin
Guang Lin Purdue University West Lafayette
Alexandre M. Tartakovsky
Alexandre M. Tartakovsky University of Illinois at Urbana-Champaign
Jinfeng Liu
Jinfeng Liu University of Alberta
Wei Wang
Wei Wang Pacific Northwest National Laboratory
Weibiao Zhou
Weibiao Zhou National University of Singapore

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