World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
69
Citations
20176
World Ranking
1117
National Ranking
374

Yinhai Wang 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 Yinhai Wang 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: 405 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Yinhai Wang 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 Yinhai Wang 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: 69 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Overview

Yinhai Wang is affiliated with the University of Washington in the United States and has contributed extensively to research in engineering, specifically focusing on transportation and intelligent systems. Their work spans several subfields including building and construction, transportation, automotive engineering, control and systems engineering, and computer vision and pattern recognition.

The scientist's primary research topics include:

  • Traffic Prediction and Management Techniques
  • Traffic Control and Management
  • Transportation Planning and Optimization
  • Autonomous Vehicle Technology and Safety
  • Traffic and Road Safety
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods

Yinhai Wang has authored numerous papers, with notable recent publications such as:

  • "Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values," 2020, Transportation Research Part C Emerging Technologies
  • "Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving," 2020, Transportation Research Part C Emerging Technologies
  • "A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Graph Markov network for traffic forecasting with missing data," 2020, Transportation Research Part C Emerging Technologies

Their frequent co-authors include Zhiyong Cui, Ruimin Ke, Meixin Zhu, Ziyuan Pu, and Hao Yang, reflecting a collaborative research approach.

Wang's work has been published predominantly in venues such as IEEE Transactions on Intelligent Transportation Systems, arXiv (Cornell University), Transportation Research Part C Emerging Technologies, Journal of Transportation Engineering Part A Systems, and Transportation Research Record Journal of the Transportation Research Board.

The scientist has contributed to book publications with the Transportation Research Board eBooks, including "Update of Highway Capacity Manual: Merge, Diverge, and Weaving Methodologies" (2023) and "Traffic Modeling Document" (2023).

Best Publications

  • Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

    Xiaolei Ma;Zhimin Tao;Yinhai Wang;Haiyang Yu

  • Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

    Zhiyong Cui;Kristian Henrickson;Ruimin Ke;Yinhai Wang

  • Mining smart card data for transit riders’ travel patterns

    Xiaolei Ma;Yao Jan Wu;Yinhai Wang;Feng Chen

  • Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values

    Unknown

  • Large-scale transportation network congestion evolution prediction using deep learning theory.

    Xiaolei Ma;Haiyang Yu;Yunpeng Wang;Yinhai Wang

  • Human-like autonomous car-following model with deep reinforcement learning

    Meixin Zhu;Meixin Zhu;Meixin Zhu;Xuesong Wang;Xuesong Wang;Yinhai Wang

  • Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction.

    Zhiyong Cui;Ruimin Ke;Yinhai Wang

  • Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving

    Meixin Zhu;Meixin Zhu;Yinhai Wang;Ziyuan Pu;Jingyun Hu

  • An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic

    Jinjun Tang;Fang Liu;Yajie Zou;Weibin Zhang

  • Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning

    Weibin Zhang;Yinghao Yu;Yong Qi;Feng Shu

  • Uncovering urban human mobility from large scale taxi GPS data

    Jinjun Tang;Jinjun Tang;Fang Liu;Yinhai Wang;Hua Wang

  • Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow

    Ruimin Ke;Zhibin Li;Jinjun Tang;Zewen Pan

  • Accessibility impacts of China’s high-speed rail network

    Jing Cao;Jing Cao;Xiaoyue Cathy Liu;Yinhai Wang;Qingquan Li;Qingquan Li

  • Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies

    Zhengchao Zhang;Meng Li;Xi Lin;Yinhai Wang;Yinhai Wang

  • A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation

    Jinjun Tang;Guohui Zhang;Yinhai Wang;Yinhai Wang;Hua Wang

  • Estimating the risk of collisions between bicycles and motor vehicles at signalized intersections.

    Yinhai Wang;Nancy L. Nihan

  • Video-Based Vehicle Detection and Classification System for Real-Time Traffic Data Collection Using Uncalibrated Video Cameras

    Guohui Zhang;Ryan Patrick Avery;Yinhai Wang

  • A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices

    Ruimin Ke;Yifan Zhuang;Ziyuan Pu;Yinhai Wang

  • An Advanced Method For Detecting Possible Near Miss Ship Collisions From AIS Data

    Weibin Zhang;Floris Goerlandt;Pentti Kujala;Yinhai Wang

  • Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

    Zhiyong Cui;Kristian Henrickson;Ruimin Ke;Ziyuan Pu

  • Profit distribution in collaborative multiple centers vehicle routing problem

    Yong Wang;Xiaolei Ma;Zhibin Li;Yong Liu

  • Extracting Roadway Background Image: Mode-Based Approach

    Jianyang Zheng;Yinhai Wang;Nancy L Nihan;Mark E Hallenbeck

  • Vehicle Routing Problem: Simultaneous Deliveries and Pickups with Split Loads and Time Windows

    Yong Wang;Xiaolei Ma;Yunteng Lao;Yinhai Wang

Frequent Co-Authors

Jinjun Tang
Jinjun Tang Central South University
Yong Wang
Yong Wang Nanjing University
Nagui M. Rouphail
Nagui M. Rouphail North Carolina State University
Xuesong Wang
Xuesong Wang Shanghai Mental Health Center
Qingquan Li
Qingquan Li Shenzhen University
Xianming Shi
Xianming Shi University of Miami
Dominique Lord
Dominique Lord Texas A&M University
Nicolas Saunier
Nicolas Saunier Polytechnique Montréal
Jiuping Xu
Jiuping Xu Sichuan University
Timothy V. Larson
Timothy V. Larson University of Washington

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