World's Best Scientists 2026 revealed!
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Fengchun Sun

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 69 414 373 58 58 187 19606
Electronics and Electrical Engineering 69 958 916 166 165 185 19603

Fengchun Sun publications per year

The chart shows the history of publications by Fengchun Sun between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Fengchun Sun published across 23 years, from 2003 to 2025, averaging 10.7 papers a year. Output peaked at 28 publications in 2025. 44 of the 247 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2025. 2003: 1 publication 2004: 2 publications 2005: 2 publications 2006: 2 publications 2007: 1 publication 2008: 2 publications 2009: 6 publications 2010: 3 publications 2011: 7 publications 2012: 10 publications 2013: 11 publications 2014: 19 publications 2015: 18 publications 2016: 17 publications 2017: 11 publications 2018: 14 publications 2019: 11 publications 2020: 11 publications 2021: 17 publications 2022: 22 publications 2023: 16 publications 2024: 16 publications 2025: 28 publications
2003 2025

247 publications in total across all disciplines

View publications per year as a table
Fengchun Sun: publications per year, 2003 to 2025
Year Publications
2003 1
2004 2
2005 2
2006 2
2007 1
2008 2
2009 6
2010 3
2011 7
2012 10
2013 11
2014 19
2015 18
2016 17
2017 11
2018 14
2019 11
2020 11
2021 17
2022 22
2023 16
2024 16
2025 28
Total 247
Download as CSV

Fengchun Sun 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 Fengchun Sun 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, 187–196 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: 187 publications — 39th percentile

39% 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
187–196 140 187
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
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
Download as CSV

Fengchun Sun 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 Fengchun Sun 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, 69 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: 69 D-Index — 88th percentile

88% 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 69
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
Download as CSV

Overview

Fengchun Sun is affiliated with the Beijing Institute of Technology in China. The primary area of their scholarly focus is engineering, with a significant volume of work concentrated in automotive engineering and electrical and electronic engineering. They have also contributed to control and systems engineering, renewable energy, sustainability and the environment, and aerospace engineering.

Their research topics are concentrated on advanced battery technologies and electric vehicle systems. These include:

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

Fengchun Sun has authored numerous papers, with frequent publications appearing in venues such as Applied Energy, Energy, IEEE Transactions on Vehicular Technology, SSRN Electronic Journal, and the Journal of Power Sources. Notable recent papers include:

  • Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives, 2020, Renewable and Sustainable Energy Reviews
  • Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles, 2020, Applied Energy
  • China's battery electric vehicles lead the world: achievements in technology system architecture and technological breakthroughs, 2022, Green Energy and Intelligent Transportation
  • Deep learning to estimate lithium-ion battery state of health without additional degradation experiments, 2023, Nature Communications
  • Battery degradation prediction against uncertain future conditions with recurrent neural network enabled deep learning, 2022, Energy Storage Materials

Frequent collaborating authors with Fengchun Sun include Rui Xiong, Chao Sun, Weixiang Shen, Zhenpo Wang, and Hongwen He.

Best Publications

  • 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

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

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

  • 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

  • Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives

    Rui Xiong;Yue Pan;Weixiang Shen;Hailong Li

  • 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

  • Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles

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

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

    Rui Xiong;Hongwen He;Fengchun Sun;Kai Zhao

  • Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles

    Rui Xiong;Wanzhou Sun;Quanqing Yu;Quanqing Yu;Fengchun Sun

  • 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

  • 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

  • Deep learning to estimate lithium-ion battery state of health without additional degradation experiments

    Unknown

  • An Overview on Thermal Safety Issues of Lithium-ion Batteries for Electric Vehicle Application

    Jianan Zhang;Lei Zhang;Fengchun Sun;Zhenpo Wang

  • 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

  • Model predictive control for power management in a plug-in hybrid electric vehicle with a hybrid energy storage system

    Shuo Zhang;Rui Xiong;Fengchun Sun

  • Estimation of State of Charge of a Lithium-Ion Battery Pack for Electric Vehicles Using an Adaptive Luenberger Observer

    Xiaosong Hu;Fengchun Sun;Yuan Zou

  • Battery Degradation Prediction Against Uncertain Future Conditions with Recurrent Neural Network Enabled Deep Learning

    Unknown

  • A Novel Fractional Order Model for State of Charge Estimation in Lithium Ion Batteries

    Rui Xiong;Jinpeng Tian;Weixiang Shen;Fengchun Sun

  • Reinforcement Learning of Adaptive Energy Management With Transition Probability for a Hybrid Electric Tracked Vehicle

    Teng Liu;Yuan Zou;Dexing Liu;Fengchun Sun

  • Reinforcement learning-based real-time energy management for a hybrid tracked vehicle

    Yuan Zou;Teng Liu;Dexing Liu;Fengchun Sun

  • A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles

    Rui Xiong;Rui Xiong;Fengchun Sun;Xianzhi Gong;Chenchen Gao

Frequent Co-Authors

Rui Xiong
Rui Xiong Beijing Institute of Technology
Hongwen He
Hongwen He Beijing Institute of Technology
Zhenpo Wang
Zhenpo Wang Beijing Institute of Technology
Xiaosong Hu
Xiaosong Hu Chongqing University
David G. Dorrell
David G. Dorrell University of Turku
Weixiang Shen
Weixiang Shen Swinburne University of Technology
Scott J. Moura
Scott J. Moura University of California, Berkeley
Huei Peng
Huei Peng University of Michigan–Ann Arbor
Chao-Yang Wang
Chao-Yang Wang Pennsylvania State University
J. Karl Hedrick
J. Karl Hedrick University of California, Berkeley

External Links

Personal website of Fengchun Sun Google Scholar page

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Exploring these related online degrees highlights the diverse pathways available beyond engineering alone, enabling students to find programs that match both their academic strengths and professional aspirations.

Best Scientists Citing Fengchun Sun

Rui Xiong

Rui Xiong

Beijing Institute of Technology

Publications: 87

Xiaosong Hu

Xiaosong Hu

Chongqing University

Publications: 72

Hongwen He

Hongwen He

Beijing Institute of Technology

Publications: 67

Jiuchun Jiang

Jiuchun Jiang

Hubei University of Technology

Publications: 34

Zhenpo Wang

Zhenpo Wang

Beijing Institute of Technology

Publications: 31

Yujie Wang

Yujie Wang

University of Science and Technology of China

Publications: 28

Minggao Ouyang

Minggao Ouyang

Tsinghua University

Publications: 28

Yuejiu Zheng

Yuejiu Zheng

University of Shanghai for Science and Technology

Publications: 26

Michael Pecht

Michael Pecht

University of Maryland, College Park

Publications: 25

Jing Sun

Jing Sun

University of Michigan–Ann Arbor

Publications: 24

Jonghoon Kim

Jonghoon Kim

Chungnam National University

Publications: 24

Weixiang Shen

Weixiang Shen

Swinburne University of Technology

Publications: 24

Chenghui Zhang

Chenghui Zhang

Shandong University

Publications: 22

Yunlong Shang

Yunlong Shang

Shandong University

Publications: 22

Languang Lu

Languang Lu

Tsinghua University

Publications: 21

Amir Khajepour

Amir Khajepour

University of Waterloo

Publications: 19

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Bobby G. Sumpter

Bobby G. Sumpter

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Changrong Xia

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Björn Alling

Björn Alling

Linköping University

Bruno Glaser

Bruno Glaser

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A. Petridis

A. Petridis

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Hiroshi Kiyonari

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Eiji Hara

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Christian Jorgensen

Christian Jorgensen

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Bo Tian

Bo Tian

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