World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
65
Citations
12900
World Ranking
1566
National Ranking
24

Chen Lv publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Chen Lv sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 204 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Chen Lv D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Chen Lv sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 65 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Chen Lv is affiliated with Nanyang Technological University in Singapore. Their research primarily spans the fields of Engineering and Computer Science, with substantial contributions in related subfields such as Automotive Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, and Electrical and Electronic Engineering.

Their work focuses on several topics relevant to intelligent and autonomous vehicle technologies. Key areas include Autonomous Vehicle Technology and Safety, Traffic Control and Management, Human-Automation Interaction and Safety, Traffic and Road Safety, Traffic Prediction and Management Techniques, Vehicle Dynamics and Control Systems, and Reinforcement Learning in Robotics.

Chen Lv has a significant publication record in prominent venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Intelligent Vehicles
  • Transportation Research Part C Emerging Technologies

Recent notable papers authored or coauthored by Chen Lv include:

  • Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys, 2022, IEEE Transactions on Intelligent Vehicles
  • Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives, 2022, IEEE Transactions on Intelligent Vehicles
  • Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network, 2022, IEEE Transactions on Intelligent Transportation Systems
  • An ensemble deep learning approach for driver lane change intention inference, 2020, Transportation Research Part C Emerging Technologies

The scientist frequently collaborates with a core group of researchers whose contributions have appeared alongside theirs in multiple works, including:

  • Yang Xing
  • Zhongxu Hu
  • Zhiyu Huang
  • Peng Hang
  • Dongpu Cao

Chen Lv also has contributed to book publications, with titles including "Vision-Based Human Activity Recognition" published by Springer Nature in 2022 and "Cyber-Physical Vehicle Systems" published by Morgan & Claypool Publishers in 2020.

Best Publications

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

    Yang Xing;Chen Lv;Huaji Wang;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

  • Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network

    Unknown

  • Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach

    Peng Hang;Chen Lv;Yang Xing;Chao Huang

  • An innovative information fusion method with adaptive Kalman filter for integrated INS/GPS navigation of autonomous vehicles

    Yahui Liu;Xiaoqian Fan;Xiaoqian Fan;Chen Lv;Jian Wu

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

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

  • Adaptive-neural-network-based robust lateral motion control for autonomous vehicle at driving limits

    Xuewu Ji;Xiangkun He;Chen Lv;Yahui Liu

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

    Yang Xing;Chen Lv;Huaji Wang;Hong Wang

  • Mechanism analysis and evaluation methodology of regenerative braking contribution to energy efficiency improvement of electrified vehicles

    Chen Lv;Junzhi Zhang;Yutong Li;Ye Yuan

  • Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous Driving

    Unknown

  • Personalized Vehicle Trajectory Prediction Based on Joint Time-Series Modeling for Connected Vehicles

    Yang Xing;Chen Lv;Dongpu Cao

  • Cooperative control of regenerative braking and hydraulic braking of an electrified passenger car

    Junzhi Zhang;Chen Lv;Jinfang Gou;Decong Kong

  • Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach

    Unknown

  • Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement Learning

    Zhiyu Huang;Jingda Wu;Chen Lv

  • An ensemble deep learning approach for driver lane change intention inference

    Yang Xing;Chen Lv;Huaji Wang;Dongpu Cao

  • Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision

    Yang Xing;Chen Lv;Long Chen;Huaji Wang

  • An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors

    Peng Hang;Chen Lv;Chao Huang;Jiacheng Cai

  • Cooperative Path Planning for Heterogeneous Unmanned Vehicles in a Search-and-Track Mission Aiming at an Underwater Target

    Yu Wu;Kin Huat Low;Chen Lv

  • Intelligent energy management strategy of hybrid energy storage system for electric vehicle based on driving pattern recognition

    Jie Hu;Di Liu;Changqing Du;Fuwu Yan

  • Vehicle dynamic state estimation: state of the art schemes and perspectives

    Hongyan Guo;Dongpu Cao;Hong Chen;Chen Lv

  • Simultaneous Observation of Hybrid States for Cyber-Physical Systems: A Case Study of Electric Vehicle Powertrain

    Chen Lv;Yahui Liu;Xiaosong Hu;Hongyan Guo

  • Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition

    Yang Xing;Chen Lv;Zhaozhong Zhang;Huaji Wang

  • Analysis of autopilot disengagements occurring during autonomous vehicle testing

    Chen Lv;Dongpu Cao;Yifan Zhao;Daniel J. Auger

  • High-Precision Hydraulic Pressure Control Based on Linear Pressure-Drop Modulation in Valve Critical Equilibrium State

    Chen Lv;Hong Wang;Dongpu Cao

  • Emergency steering control of autonomous vehicle for collision avoidance and stabilisation

    Xiangkun He;Yulong Liu;Chen Lv;Xuewu Ji

Frequent Co-Authors

Yang Xing
Yang Xing Cranfield University
Dongpu Cao
Dongpu Cao University of Waterloo
Efstathios Velenis
Efstathios Velenis Cranfield University
Fei-Yue Wang
Fei-Yue Wang Chinese Academy of Sciences
Amir Khajepour
Amir Khajepour University of Waterloo
Xiaosong Hu
Xiaosong Hu Chongqing University
Hong Chen
Hong Chen Tongji University
Danwei Wang
Danwei Wang Nanyang Technological University
Dragan Nesic
Dragan Nesic University of Melbourne
Caizhi Zhang
Caizhi Zhang Chongqing University

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