World's Best Scientists 2026 revealed!
Huijing Zhao

Huijing Zhao

D-Index & Metrics

Computer Science

D-Index
34
Citations
4433
World Ranking
12246
National Ranking
1508

Huijing Zhao publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Huijing Zhao sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 152 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Huijing Zhao D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Huijing Zhao sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Huijing Zhao is affiliated with Peking University in China. Their research spans several interconnected fields, primarily focusing on Engineering and Computer Science, with notable contributions to subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Aerospace Engineering, and Control and Systems Engineering.

Their work addresses key topics including Autonomous Vehicle Technology and Safety, Advanced Neural Network Applications, Robotics and Sensor-Based Localization, Anomaly Detection Techniques and Applications, Traffic Control and Management, Traffic and Road Safety, and Remote Sensing and LiDAR Applications.

Huijing Zhao's publication record includes numerous papers in well-regarded venues. Some notable recent papers are:

  • A Survey of Deep RL and IL for Autonomous Driving Policy Learning, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey of Datasets and Methods, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Learning From Naturalistic Driving Data for Human-Like Autonomous Highway Driving, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Incorporating Driving Knowledge in Deep Learning Based Vehicle Trajectory Prediction: A Survey, 2023, IEEE Transactions on Intelligent Vehicles
  • Driver Identification Through Heterogeneity Modeling in Car-Following Sequences, 2022, IEEE Transactions on Intelligent Transportation Systems

The majority of their work has been published in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Intelligent Vehicles
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Buildings

Frequent collaborators include Biao Gao, Donghao Xu, Yancheng Pan, Sibo Geng, and Zhezhang Ding, reflecting ongoing partnerships in various research projects.

Best Publications

  • A novel system for tracking pedestrians using multiple single-row laser-range scanners

    Huijing Zhao;R. Shibasaki

  • A real-time motion planner with trajectory optimization for autonomous vehicles

    Wenda Xu;Junqing Wei;John M. Dolan;Huijing Zhao

  • TripVista: Triple Perspective Visual Trajectory Analytics and its application on microscopic traffic data at a road intersection

    Hanqi Guo;Zuchao Wang;Bowen Yu;Huijing Zhao

  • A Survey of Deep RL and IL for Autonomous Driving Policy Learning.

    Zeyu Zhu;Huijing Zhao

  • Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches

    Jinshi Cui;Ye Liu;Yuandong Xu;Huijing Zhao

  • SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances

    Yancheng Pan;Biao Gao;Jilin Mei;Sibo Geng

  • Reconstructing a textured CAD model of an urban environment using vehicle-borne laser range scanners and line cameras

    Huijing Zhao;Ryosuke Shibasaki

  • A vehicle-borne urban 3-D acquisition system using single-row laser range scanners

    Huijing Zhao;R. Shibasaki

  • Laser-based detection and tracking of multiple people in crowds

    Jinshi Cui;Hongbin Zha;Huijing Zhao;Ryosuke Shibasaki

  • SLAM in a dynamic large outdoor environment using a laser scanner

    Huijing Zhao;M. Chiba;R. Shibasaki;Xiaowei Shao

  • Reconstructing Textured CAD Model of Urban Environment Using Vehicle-Borne Laser Range Scanners and Line Cameras

    Huijing Zhao;Ryosuke Shibasaki

  • Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised Learning

    Xuan Song;Jinshi Cui;Hongbin Zha;Huijing Zhao

  • Fusion of low-and high-dimensional approaches by trackers sampling for generic human motion tracking

    Ye Liu;Jinshi Cui;Huijing Zhao;Hongbin Zha

  • Multi-modal tracking of people using laser scanners and video camera

    Jinshi Cui;Hongbin Zha;Huijing Zhao;Ryosuke Shibasaki

  • Tracking multiple people using laser and vision

    Jinshi Cui;Hongbin Zha;Huijing Zhao;R. Shibasaki

  • Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey of Datasets and Methods

    Biao Gao;Yancheng Pan;Chengkun Li;Sibo Geng

  • Detection and tracking of multiple pedestrians by using laser range scanners

    Xiaowei Shao;Huijing Zhao;K. Nakamura;K. Katabira

  • Semi-automatic road extraction from high-resolution satellite image

    Huijing Zhao;Jun Kumagai;Masafumi Nakagawa;Ryosuke Shibasaki

  • On-Road Vehicle Trajectory Collection and Scene-Based Lane Change Analysis: Part II

    Wen Yao;Qiqi Zeng;Yuping Lin;Donghao Xu

  • Learning From Naturalistic Driving Data for Human-Like Autonomous Highway Driving

    Donghao Xu;Zhezhang Ding;Xu He;Huijing Zhao

  • Lane change trajectory prediction by using recorded human driving data

    Wen Yao;Huijing Zhao;Philippe Bonnifait;Hongbin Zha

  • Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-Supervised Learning

    Jilin Mei;Biao Gao;Donghao Xu;Wen Yao

  • Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches.

    Yuandong Xu;Jinshi Cui;Huijing Zhao;Hongbin Zha

Frequent Co-Authors

Ryosuke Shibasaki
Ryosuke Shibasaki University of Tokyo
Hongbin Zha
Hongbin Zha Peking University
Xuan Song
Xuan Song University of Tokyo
David L. Kaplan
David L. Kaplan Tufts University
Hesun Zhu
Hesun Zhu Beijing Institute of Technology
Qiang Lu
Qiang Lu Soochow University
Xuelong Li
Xuelong Li China Telecom (China)
Yasushi Yagi
Yasushi Yagi Osaka University
John M. Dolan
John M. Dolan Carnegie Mellon University

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