World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
57
Citations
10624
World Ranking
816
National Ranking
351

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.

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: 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.

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.

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.

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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