World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
79
Citations
25914
World Ranking
221
National Ranking
30

Electronics and Electrical Engineering

D-Index
79
Citations
25911
World Ranking
554
National Ranking
87

Hongwen He publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Hongwen He sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 391 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Hongwen He D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Hongwen He sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 79 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Hongwen He is affiliated with the Beijing Institute of Technology in China. Their primary field of study is Engineering, with a focus on Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, and Renewable Energy, Sustainability and the Environment.

The scientist's research covers several main topics including:

  • Advanced Battery Technologies Research
  • Electric and Hybrid Vehicle Technologies
  • Electric Vehicles and Infrastructure
  • Fuel Cells and Related Materials
  • Vehicle emissions and performance
  • Advancements in Battery Materials
  • Autonomous Vehicle Technology and Safety

Among the recent papers associated with Hongwen He are:

  • China's battery electric vehicles lead the world: achievements in technology system architecture and technological breakthroughs (2022) published in Green Energy and Intelligent Transportation
  • Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement (2021) published in Journal of Power Sources
  • Noise-Immune Model Identification and State-of-Charge Estimation for Lithium-Ion Battery Using Bilinear Parameterization (2020) published in IEEE Transactions on Industrial Electronics
  • Disturbance-Immune and Aging-Robust Internal Short Circuit Diagnostic for Lithium-Ion Battery (2021) published in IEEE Transactions on Industrial Electronics
  • Multistage State of Health Estimation of Lithium-Ion Battery With High Tolerance to Heavily Partial Charging (2022) published in IEEE Transactions on Power Electronics

Hongwen He frequently collaborates with other researchers including Zhongbao Wei, Jianwei Li, Ruchen Huang, Shengwei Quan, and Jinzhou Chen.

The scientist publishes extensively in several venues, with notable frequent publication venues being:

  • Applied Energy
  • Energy
  • IEEE Transactions on Transportation Electrification
  • IEEE Transactions on Industrial Electronics
  • SSRN Electronic Journal

In addition to journal papers, Hongwen He has contributed to book publications, including a title published by Morgan & Claypool Publishers: "Deep Reinforcement Learning-Based Energy Management for Hybrid Electric Vehicles" (2022).

Best Publications

  • Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach

    Hongwen He;Rui Xiong;Jinxin Fan

  • Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

    Yongzhi Zhang;Rui Xiong;Hongwen He;Michael G. Pecht

  • Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles

    Rui Xiong;Jiayi Cao;Quanqing Yu;Hongwen He

  • State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model

    Hongwen He;Rui Xiong;Xiaowei Zhang;Fengchun Sun

  • Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming

    Jiankun Peng;Hongwen He;Rui Xiong

  • Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles

    Hongwen He;Xiaowei Zhang;Rui Xiong;Yongli Xu

  • A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion olymer battery in electric vehicles

    Rui Xiong;Rui Xiong;Fengchun Sun;Zheng Chen;Hongwen He

  • Model predictive control power management strategies for HEVs: A review

    Yanjun Huang;Hong Wang;Hong Wang;Amir Khajepour;Hongwen He

  • Comparison study on the battery models used for the energy management of batteries in electric vehicles

    Hongwen He;Rui Xiong;Hongqiang Guo;Shuchun Li

  • Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach

    Rui Xiong;Hongwen He;Fengchun Sun;Kai Zhao

  • Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles

    Hongwen He;Rui Xiong;Hongqiang Guo

  • Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles

    Rui Xiong;Yongzhi Zhang;Ju Wang;Hongwen He

  • Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus

    Jingda Wu;Hongwen He;Jiankun Peng;Yuecheng Li

  • China’s Battery Electric Vehicles Lead the World: Achievements in Technology System Architecture and Technological Breakthroughs

    Unknown

  • Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles

    Chao Sun;Fengchun Sun;Hongwen He

  • A systematic state-of-charge estimation framework for multi-cell battery pack in electric vehicles using bias correction technique

    Fengchun Sun;Rui Xiong;Hongwen He

  • Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement

    Zhongbao Wei;Jiyun Zhao;Hongwen He;Guanglin Ding

  • Deep reinforcement learning of energy management with continuous control strategy and traffic information for a series-parallel plug-in hybrid electric bus

    Yuankai Wu;Yuankai Wu;Huachun Tan;Huachun Tan;Jiankun Peng;Jiankun Peng;Hailong Zhang;Hailong Zhang

  • A Double-Scale, Particle-Filtering, Energy State Prediction Algorithm for Lithium-Ion Batteries

    Rui Xiong;Yongzhi Zhang;Hongwen He;Xuan Zhou

  • Sensor fault detection and isolation for a lithium-ion battery pack in electric vehicles using adaptive extended Kalman filter

    Zhentong Liu;Hongwen He

  • Lithium-Ion Battery Pack State of Charge and State of Energy Estimation Algorithms Using a Hardware-in-the-Loop Validation

    Yongzhi Zhang;Rui Xiong;Hongwen He;Weixiang Shen

Frequent Co-Authors

Rui Xiong
Rui Xiong Beijing Institute of Technology
Fengchun Sun
Fengchun Sun Beijing Institute of Technology
Jianwei Li
Jianwei Li Qingdao University of Science and Technology
Michael Pecht
Michael Pecht University of Maryland, College Park
Amir Khajepour
Amir Khajepour University of Waterloo
Weixiang Shen
Weixiang Shen Swinburne University of Technology
Zhongbao Wei
Zhongbao Wei Beijing Institute of Technology
Chen Lv
Chen Lv Nanyang Technological University
Xiaobo Qu
Xiaobo Qu Xiamen University
Xinan Zhang
Xinan Zhang University of Western Australia

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