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Mechanical and Aerospace Engineering
China
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 110 35 33 4 4 265 36867
Electronics and Electrical Engineering 110 104 101 12 12 263 36866

Xiaosong Hu publications per year

The chart shows the history of publications by Xiaosong Hu between 2009 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiaosong Hu published across 16 years, from 2009 to 2024, averaging 13.5 papers a year. Output peaked at 39 publications in 2021. 1 of the 216 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2009 to 2024. Vertical axis: number of publications, 0 to 39. Peak 39 publications in 2021. 2009: 5 publications 2010: 1 publication 2011: 6 publications 2012: 5 publications 2013: 8 publications 2014: 10 publications 2015: 17 publications 2016: 19 publications 2017: 19 publications 2018: 29 publications 2019: 25 publications 2020: 32 publications 2021: 39 publications 2022: 0 publications 2023: 0 publications 2024: 1 publication
2009 2024

216 publications in total across all disciplines

View publications per year as a table
Xiaosong Hu: publications per year, 2009 to 2024
Year Publications
2009 5
2010 1
2011 6
2012 5
2013 8
2014 10
2015 17
2016 19
2017 19
2018 29
2019 25
2020 32
2021 39
2022 0
2023 0
2024 1
Total 216
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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.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 257–266 publications, is where this scientist sits. 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
47–56 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.

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95 265
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
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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.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 93+ D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100 110
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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

  • 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

  • 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

  • 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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