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Mechanical and Aerospace Engineering
Canada
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
85
Citations
24864
World Ranking
153
National Ranking
9

Dongpu Cao 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 Dongpu Cao 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: 373 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Dongpu Cao 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 Dongpu Cao 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: 85 D-Index — 96th percentile

96% 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 Canada Leader Award

Overview

Dongpu Cao is affiliated with the University of Waterloo in Canada. Their research primarily spans the fields of Engineering and Computer Science, with a substantial focus on Automotive Engineering, Control and Systems Engineering, and Computer Vision and Pattern Recognition. Dongpu Cao's body of work addresses several advanced topics relevant to autonomous and intelligent vehicles.

The main topics covered by their research include autonomous vehicle technology and safety, traffic control and management, vehicle dynamics and control systems, advanced neural network applications, human-automation interaction and safety, traffic and road safety, and vehicular ad hoc networks (VANETs).

Dongpu Cao has authored multiple papers, with recent publications including:

  • "Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives" (2022) published in IEEE Transactions on Intelligent Vehicles
  • "Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review" (2020) in IEEE Transactions on Neural Networks and Learning Systems
  • "Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review" (2021) in IEEE Transactions on Intelligent Transportation Systems
  • "Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey" (2021) in IEEE Transactions on Intelligent Transportation Systems
  • "A deep learning based image enhancement approach for autonomous driving at night" (2020) in Knowledge-Based Systems

Their frequent coauthors include Chen Lv, Yang Xing, Teng Liu, Daxin Tian, and Guofa Li.

Dongpu Cao's publications appear consistently in venues such as IEEE Transactions on Intelligent Transportation Systems, arXiv (Cornell University), IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Vehicles, and IEEE/CAA Journal of Automatica Sinica.

In addition to journal articles, Dongpu Cao has contributed to book publications, with a noted book titled "Cyber-Physical Vehicle Systems" published in 2020 by Morgan & Claypool Publishers.

Best Publications

  • Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies

    Yang Zheng;Shengbo Eben Li;Jianqiang Wang;Dongpu Cao

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

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

  • Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey

    Clara Marina Martinez;Mira Heucke;Fei-Yue Wang;Bo Gao

  • Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

    Ying Li;Lingfei Ma;Zilong Zhong;Fei Liu

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

    Xiaosong Hu;Jiuchun Jiang;Dongpu Cao;Bo Egardt

  • Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review

    Yaodong Cui;Ren Chen;Wenbo Chu;Long Chen

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

    Fengqi Zhang;Xiaosong Hu;Reza Langari;Dongpu Cao

  • Editors’ perspectives: road vehicle suspension design, dynamics, and control

    Dongpu Cao;Xubin Song;Mehdi Ahmadian

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

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

  • Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach

    Yang Xing;Chen Lv;Huaji Wang;Dongpu Cao

  • A Motion Planning and Tracking Framework for Autonomous Vehicles Based on Artificial Potential Field Elaborated Resistance Network Approach

    Yanjun Huang;Haitao Ding;Yubiao Zhang;Hong Wang

  • Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles

    Xuemin Hu;Long Chen;Bo Tang;Dongpu Cao

  • Levenberg–Marquardt Backpropagation Training of Multilayer Neural Networks for State Estimation of a Safety-Critical Cyber-Physical System

    Chen Lv;Yang Xing;Junzhi Zhang;Xiaoxiang Na

  • Real-Time Trajectory Planning for Autonomous Urban Driving: Framework, Algorithms, and Verifications

    Xiaohui Li;Zhenping Sun;Dongpu Cao;Zhen He

  • A theoretical and computational study of lithium-ion battery thermal management for electric vehicles using heat pipes

    Angelo Greco;Dongpu Cao;Xi Jiang;Hong Yang

  • Driving-Style-Based Codesign Optimization of an Automated Electric Vehicle: A Cyber-Physical System Approach

    Chen Lv;Xiaosong Hu;Alberto Sangiovanni-Vincentelli;Yutong Li

  • Development of a new integrated local trajectory planning and tracking control framework for autonomous ground vehicles

    Xiaohui Li;Zhenping Sun;Dongpu Cao;Daxue Liu

  • Parallel driving in CPSS: a unified approach for transport automation and vehicle intelligence

    Fei-Yue Wang;Nan-Ning Zheng;Dongpu Cao;Clara Marina Martinez

  • Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges

    Yang Xing;Chen Lv;Huaji Wang;Hong Wang

  • Integrated Optimization of Battery Sizing, Charging, and Power Management in Plug-In Hybrid Electric Vehicles

    Xiaosong Hu;Scott J. Moura;Nikolce Murgovski;Bo Egardt

  • Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

    Ying Li;Lingfei Ma;Zilong Zhong;Fei Liu

Frequent Co-Authors

Chen Lv
Chen Lv Nanyang Technological University
Fei-Yue Wang
Fei-Yue Wang Chinese Academy of Sciences
Yang Xing
Yang Xing Cranfield University
Subhash Rakheja
Subhash Rakheja Concordia University
Efstathios Velenis
Efstathios Velenis Cranfield University
Amir Khajepour
Amir Khajepour University of Waterloo
Xiaosong Hu
Xiaosong Hu Chongqing University
Hong Chen
Hong Chen Tongji University
Chun-Yi Su
Chun-Yi Su Concordia University
Nanning Zheng
Nanning Zheng Xi'an Jiaotong University

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