World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 57 816 745 351 298 200 10624

Zheng Chen publications per year

The chart shows the history of publications by Zheng Chen between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zheng Chen published across 21 years, from 2005 to 2025, averaging 14.6 papers a year. Output peaked at 49 publications in 2024. 87 of the 307 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 49. Peak 49 publications in 2024. 2005: 1 publication 2006: 1 publication 2007: 1 publication 2008: 0 publications 2009: 1 publication 2010: 4 publications 2011: 3 publications 2012: 0 publications 2013: 4 publications 2014: 9 publications 2015: 6 publications 2016: 10 publications 2017: 13 publications 2018: 16 publications 2019: 21 publications 2020: 33 publications 2021: 31 publications 2022: 33 publications 2023: 33 publications 2024: 49 publications 2025: 38 publications
2005 2025

307 publications in total across all disciplines

View publications per year as a table
Zheng Chen: publications per year, 2005 to 2025
Year Publications
2005 1
2006 1
2007 1
2008 0
2009 1
2010 4
2011 3
2012 0
2013 4
2014 9
2015 6
2016 10
2017 13
2018 16
2019 21
2020 33
2021 31
2022 33
2023 33
2024 49
2025 38
Total 307
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Zheng Chen 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 Zheng Chen 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, 197–206 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: 200 publications — 44th percentile

44% 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
197–206 115 200
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
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Zheng Chen 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 Zheng Chen 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, 57 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: 57 D-Index — 77th percentile

77% 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 57
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
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Overview

Zheng Chen is affiliated with the University of Houston in the United States and works primarily in the field of Engineering. Their research focuses extensively on automotive and electrical engineering disciplines, particularly within the context of battery technologies and electric vehicles.

The main fields of study for Zheng Chen include:

  • Engineering

They specialize in several subfields of study, including:

  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Building and Construction

The research topics covered by Zheng Chen reflect significant work in the following areas:

  • Advanced Battery Technologies Research
  • Electric Vehicles and Infrastructure
  • Electric and Hybrid Vehicle Technologies
  • Advancements in Battery Materials
  • Vehicle emissions and performance
  • Traffic control and management
  • Fault Detection and Control Systems

Zheng Chen has contributed to a number of research papers with notable examples including:

  • State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network (2021, Journal of Power Sources)
  • A Flexible State-of-Health Prediction Scheme for Lithium-Ion Battery Packs With Long Short-Term Memory Network and Transfer Learning (2021, IEEE Transactions on Transportation Electrification)
  • State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives (2021, iScience)
  • State of Health Estimation for Lithium-Ion Batteries Based on Healthy Features and Long Short-Term Memory (2020, IEEE Access)
  • Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution (2020, Journal of Power Sources)

Frequent publication venues for Zheng Chen encompass several journals with recurring appearances, including:

  • Energy
  • IEEE Transactions on Transportation Electrification
  • SSRN Electronic Journal
  • Journal of Power Sources
  • IEEE Transactions on Vehicular Technology

Zheng Chen collaborates with various coauthors frequently, including:

  • Yonggang Liu
  • Yuanjian Zhang
  • Jiangwei Shen
  • Xing Shu
  • Shiquan Shen

Best Publications

  • 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

  • State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering

    Zheng Chen;Yuhong Fu;C. C. Mi

  • The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer

    Jun Xu;Chunting Chris Mi;Binggang Cao;Junjun Deng

  • Energy Management for a Power-Split Plug-in Hybrid Electric Vehicle Based on Dynamic Programming and Neural Networks

    Zheng Chen;Chunting Chris Mi;Jun Xu;Xianzhi Gong

  • Online battery state of health estimation based on Genetic Algorithm for electric and hybrid vehicle applications

    Zheng Chen;Chunting Chris Mi;Yuhong Fu;Jun Xu

  • State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network

    Unknown

  • Wireless Power Transfer by Electric Field Resonance and Its Application in Dynamic Charging

    Siqi Li;Zhe Liu;Han Zhao;Liyan Zhu

  • Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming

    Zheng Chen;Chris Chunting Mi;Rui Xiong;Jun Xu

  • Driving-behavior-aware stochastic model predictive control for plug-in hybrid electric buses

    Liang Li;Sixiong You;Chao Yang;Bingjie Yan

  • Research on a multi-objective hierarchical prediction energy management strategy for range extended fuel cell vehicles

    Yonggang Liu;Jie Li;Zheng Chen;Datong Qin

  • A Novel Lane Change Decision-Making Model of Autonomous Vehicle Based on Support Vector Machine

    Yonggang Liu;Xiao Wang;Liang Li;Shuo Cheng

  • A Flexible State-of-Health Prediction Scheme for Lithium-Ion Battery Packs With Long Short-Term Memory Network and Transfer Learning

    Xing Shu;Jiangwei Shen;Guang Li;Yuanjian Zhang

  • State of Health Prediction of Lithium-Ion Batteries Based on Machine Learning: Advances and Perspectives

    Xing Shu;Shiquan Shen;Jiangwei Shen;Yuanjian Zhang

  • Energy management strategy for power-split plug-in hybrid electric vehicle based on MPC and double Q-learning

    Unknown

  • State of Health Estimation for Lithium-Ion Batteries Based on Healthy Features and Long Short-Term Memory

    Yitao Wu;Qiao Xue;Jiangwei Shen;Zhenzhen Lei

  • An adaptive equivalent consumption minimization strategy for plug-in hybrid electric vehicles based on traffic information

    Zhenzhen Lei;Zhenzhen Lei;Datong Qin;Liliang Hou;Jingyu Peng

  • State of health estimation for lithium-ion batteries based on hybrid attention and deep learning

    Unknown

  • Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution

    Qiao Xue;Guang Li;Yuanjian Zhang;Shiquan Shen

  • A novel energy management method for series plug-in hybrid electric vehicles

    Zheng Chen;Zheng Chen;Bing Xia;Chenwen You;Chunting Chris Mi

  • Dynamic Lane-Changing Trajectory Planning for Autonomous Vehicles Based on Discrete Global Trajectory

    Yonggang Liu;Bobo Zhou;Xiao Wang;Liang Li

  • Energy management of power-split plug-in hybrid electric vehicles based on simulated annealing and Pontryagin's minimum principle

    Zheng Chen;Chunting Chris Mi;Bing Xia;Chenwen You

  • Evaluation of Model Based State of Charge Estimation Methods for Lithium-Ion Batteries

    Zhongyue Zou;Jun Xu;Chris Mi;Binggang Cao

  • Loss-Minimization-Based Charging Strategy for Lithium-Ion Battery

    Zheng Chen;Bing Xia;Chunting Chris Mi;Rui Xiong

  • A uniform estimation framework for state of health of lithium-ion batteries considering feature extraction and parameters optimization

    Xing Shu;Guang Li;Jiangwei Shen;Zhenzhen Lei

  • An online state of charge estimation method with reduced prior battery testing information

    Jun Xu;Binggang Cao;Zheng Chen;Zhongyue Zou

  • Stochastic model predictive control for energy management of power-split plug-in hybrid electric vehicles based on reinforcement learning

    Zheng Chen;Zheng Chen;Hengjie Hu;Yitao Wu;Yuanjian Zhang

  • Multimode Energy Management for Plug-In Hybrid Electric Buses Based on Driving Cycles Prediction

    Zheng Chen;Liang Li;Bingjie Yan;Chao Yang

  • Comparisons of Modeling and State of Charge Estimation for Lithium-Ion Battery Based on Fractional Order and Integral Order Methods

    Renxin Xiao;Jiangwei Shen;Xiaoyu Li;Wensheng Yan

  • A neural network-based ECMS for optimized energy management of plug-in hybrid electric vehicles

    Zhihang Chen;Yonggang Liu;Yuanjian Zhang;Zhenzhen Lei

Frequent Co-Authors

Chris Mi
Chris Mi San Diego State University
Liang Li
Liang Li Tsinghua University
Xiongbo Duan
Xiongbo Duan Central South University
Rui Xiong
Rui Xiong Beijing Institute of Technology
Binggang Cao
Binggang Cao Xi'an Jiaotong University
Zunqing Zheng
Zunqing Zheng Tianjin University
Wanming Hao
Wanming Hao Zhengzhou University
Xiaoyong Wei
Xiaoyong Wei Xi'an Jiaotong University
Lei Jiang
Lei Jiang Chinese Academy of Sciences
Jun Yang
Jun Yang Shanghai Jiao Tong University

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