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Mechanical and Aerospace Engineering
China
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
110
Citations
36867
World Ranking
35
National Ranking
4

Electronics and Electrical Engineering

D-Index
110
Citations
36866
World Ranking
104
National Ranking
12

Xiaosong Hu 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 Xiaosong Hu 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: 265 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Xiaosong Hu 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 Xiaosong Hu 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: 110 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in China Leader Award
  • 2025 - Research.com Mechanical and Aerospace Engineering in China Leader Award

Overview

Xiaosong Hu is affiliated with Chongqing University in China and specializes in engineering, with a focus on automotive engineering and electrical and electronic engineering. Their research primarily addresses topics related to electric and hybrid vehicle technologies, electric vehicles and infrastructure, and vehicle emissions and performance.

Their recent publication record includes a study titled Experience-Shared Variable-Step Predictive Control of Range-Extended Electric Vehicles Using Transferable Driver Model, published in 2024 in the journal IEEE Transactions on Intelligent Transportation Systems.

The venues where Xiaosong Hu has published work include:

  • IEEE Transactions on Intelligent Transportation Systems

Frequent collaborators in Xiaosong Hu's research include:

  • Ji Li
  • Zirui Li
  • Chengqing Wen
  • Yanhong Wu
  • Roger Dixon

The research topics covered by Xiaosong Hu's work are:

  • Electric and Hybrid Vehicle Technologies
  • Electric Vehicles and Infrastructure
  • Vehicle emissions and performance

The scientist's publications contribute primarily to fields of:

  • Engineering

Their subfields of study include:

  • Automotive Engineering
  • Electrical and Electronic Engineering

Best Publications

  • A comparative study of equivalent circuit models for Li-ion batteries

    Xiaosong Hu;Xiaosong Hu;Shengbo Li;Huei Peng

  • Battery Lifetime Prognostics

    Xiaosong Hu;Le Xu;Xianke Lin;Michael Pecht

  • A review of supercapacitor modeling, estimation, and applications: A control/management perspective

    Lei Zhang;Lei Zhang;Xiaosong Hu;Zhenpo Wang;Fengchun Sun

  • State estimation for advanced battery management: Key challenges and future trends

    Xiaosong Hu;Fei Feng;Kailong Liu;Lei Zhang

  • Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles

    Yuan Zou;Xiaosong Hu;Hongmin Ma;Shengbo Eben Li

  • Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective

    Clara Marina Martinez;Xiaosong Hu;Dongpu Cao;Efstathios Velenis

  • Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles

    Fengchun Sun;Xiaosong Hu;Yuan Zou;Siguang Li

  • Technological Developments in Batteries: A Survey of Principal Roles, Types, and Management Needs

    Xiaosong Hu;Changfu Zou;Caiping Zhang;Yang Li

  • Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles

    Chao Sun;Xiaosong Hu;Scott J. Moura;Fengchun Sun

  • Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling

    Xiaosong Hu;Jiuchun Jiang;Dongpu Cao;Bo Egardt

  • Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures

    Xiaosong Hu;Kai Zhang;Kailong Liu;Xianke Lin

  • Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus

    Xiaosong Hu;Hao Yuan;Changfu Zou;Zhe Li

  • A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors

    Changfu Zou;Lei Zhang;Xiaosong Hu;Zhenpo Wang

  • Energy management strategies of connected HEVs and PHEVs: Recent progress and outlook

    Fengqi Zhang;Xiaosong Hu;Reza Langari;Dongpu Cao

  • Battery warm-up methodologies at subzero temperatures for automotive applications: recent advances and perspectives

    Xiaosong Hu;Yusheng Zheng;David A. Howey;Hector Perez

  • Longevity-conscious dimensioning and power management of the hybrid energy storage system in a fuel cell hybrid electric bus

    Xiaosong Hu;Lars Johannesson;Nikolce Murgovski;Bo Egardt

  • Reinforcement Learning Optimized Look-Ahead Energy Management of a Parallel Hybrid Electric Vehicle

    Teng Liu;Xiaosong Hu;Shengbo Eben Li;Dongpu Cao

  • Stochastic control of smart home energy management with plug-in electric vehicle battery energy storage and photovoltaic array

    Xiaohua Wu;Xiaosong Hu;Scott Moura;Xiaofeng Yin

  • Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control

    Xiaosong Hu;Changfu Zou;Xiaolin Tang;Teng Liu

  • Advanced Machine Learning Approach for Lithium-Ion Battery State Estimation in Electric Vehicles

    Xiaosong Hu;Shengbo Eben Li;Yalian Yang

  • Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes

    Xiaosong Hu;Nikolce Murgovski;Lars Johannesson;Bo Egardt

  • Dynamic Traffic Feedback Data Enabled Energy Management in Plug-in Hybrid Electric Vehicles

    Chao Sun;Scott Jason Moura;Xiaosong Hu;J. Karl Hedrick

  • Multiobjective Optimal Sizing of Hybrid Energy Storage System for Electric Vehicles

    Lei Zhang;Xiaosong Hu;Zhenpo Wang;Fengchun Sun

  • Optimal Dimensioning and Power Management of a Fuel Cell/Battery Hybrid Bus via Convex Programming

    Xiaosong Hu;Nikolce Murgovski;Lars Mardh Johannesson;Bo Egardt

Frequent Co-Authors

Fengchun Sun
Fengchun Sun Beijing Institute of Technology
Bo Egardt
Bo Egardt Chalmers University of Technology
Dongpu Cao
Dongpu Cao University of Waterloo
Scott J. Moura
Scott J. Moura University of California, Berkeley
Nikolce Murgovski
Nikolce Murgovski Chalmers University of Technology
Shengbo Eben Li
Shengbo Eben Li Tsinghua University
Zhenpo Wang
Zhenpo Wang Beijing Institute of Technology
Huei Peng
Huei Peng University of Michigan–Ann Arbor
David G. Dorrell
David G. Dorrell University of Turku
Jiuchun Jiang
Jiuchun Jiang Hubei University of Technology

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