World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
9986
World Ranking
7860
National Ranking
1032

Di Huang 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 Di Huang 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: 171 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Di Huang 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 Di Huang 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Di Huang is a researcher affiliated with Beihang University in China whose work primarily spans the fields of Computer Science and Engineering. Their extensive publication record includes significant contributions to subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Nuclear and High Energy Physics, Aerospace Engineering, and Control and Systems Engineering.

The scientist's research covers a range of topics, with notable focus on Advanced Neural Network Applications, Human Pose and Action Recognition, Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning, Anomaly Detection Techniques and Applications, Face Recognition and Analysis, as well as Robotics and Sensor-Based Localization.

Among their recent publications are:

  • Image Inpainting via Conditional Texture and Structure Dual Generation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • CAT-Det: Contrastively Augmented Transformer for Multimodal 3D Object Detection, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Student-Teacher Feature Pyramid Matching for Anomaly Detection, 2021, arXiv (Cornell University)
  • Deep Learning for Time-Series Prediction in IIoT: Progress, Challenges, and Prospects, 2023, IEEE Transactions on Neural Networks and Learning Systems

Di Huang frequently collaborates with a core group of coauthors, including Yunhong Wang, Wanli Ouyang, Qiuhong Wang, Lingyin Luo, and Xiangxiang Ren. These collaborations have contributed to a body of work that appears across multiple prestigious venues. Key publication forums include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

This profile reflects a career focused on advancing research in computer vision, artificial intelligence, and related engineering disciplines, supported by a broad and active network of collaborators and contributions to top-tier conferences and journals.

Best Publications

  • Receptive Field Block Net for Accurate and Fast Object Detection

    Songtao Liu;Di Huang;Yunhong Wang

  • Local Binary Patterns and Its Application to Facial Image Analysis: A Survey

    Di Huang;Caifeng Shan;M. Ardabilian;Yunhong Wang

  • Learning Spatial Fusion for Single-Shot Object Detection

    Songtao Liu;Di Huang;Yunhong Wang

  • Adaptive NMS: Refining Pedestrian Detection in a Crowd

    Songtao Liu;Di Huang;Yunhong Wang

  • Multi-scale Positive Sample Refinement for Few-Shot Object Detection

    Jiaxi Wu;Songtao Liu;Di Huang;Yunhong Wang

  • Image Inpainting via Conditional Texture and Structure Dual Generation

    Xiefan Guo;Hongyu Yang;Di Huang

  • DepAudioNet: An Efficient Deep Model for Audio based Depression Classification

    Xingchen Ma;Hongyu Yang;Qiang Chen;Di Huang

  • Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation

    Yangtao Zheng;Di Huang;Songtao Liu;Yunhong Wang

  • Depression recognition based on dynamic facial and vocal expression features using partial least square regression

    Hongying Meng;Di Huang;Heng Wang;Hongyu Yang

  • Learning Face Age Progression: A Pyramid Architecture of GANs

    Hongyu Yang;Di Huang;Yunhong Wang;Anil K. Jain

  • Towards 3D Face Recognition in the Real: A Registration-Free Approach Using Fine-Grained Matching of 3D Keypoint Descriptors

    Huibin Li;Di Huang;Jean-Marie Morvan;Yunhong Wang

  • 3-D Face Recognition Using eLBP-Based Facial Description and Local Feature Hybrid Matching

    Di Huang;M. Ardabilian;Yunhong Wang;Liming Chen

  • View-Invariant Discriminative Projection for Multi-View Gait-Based Human Identification

    Maodi Hu;Yunhong Wang;Zhaoxiang Zhang;James J. Little

  • Muscular Movement Model-Based Automatic 3D/4D Facial Expression Recognition

    Qingkai Zhen;Di Huang;Yunhong Wang;Liming Chen

  • An efficient multimodal 2D + 3D feature-based approach to automatic facial expression recognition

    Huibin Li;Huaxiong Ding;Di Huang;Yunhong Wang

  • HSOG: A Novel Local Image Descriptor Based on Histograms of the Second-Order Gradients

    Di Huang;Chao Zhu;Yunhong Wang;Liming Chen

  • Student-Teacher Feature Pyramid Matching for Anomaly Detection

    Guodong Wang;Shumin Han;Errui Ding;Di Huang

  • Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition

    Lunke Fei;Bob Zhang;Yong Xu;Di Huang

  • Automatic 3D facial expression recognition using geometric scattering representation

    Xudong Yang;Di Huang;Yunhong Wang;Liming Chen

  • ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations

    Unknown

  • Learning the Spherical Harmonic Features for 3-D Face Recognition

    Peijiang Liu;Yunhong Wang;Di Huang;Zhaoxiang Zhang

  • Muscular Movement Model Based Automatic 3D Facial Expression Recognition

    Qingkai Zhen;Di Huang;Yunhong Wang;Liming Chen

  • Automatic 3D Facial Expression Recognition Based on a Bayesian Belief Net and a Statistical Facial Feature Model

    Xi Zhao;Di Huang;Emmanuel Dellandrea;Liming Chen

Frequent Co-Authors

Yunhong Wang
Yunhong Wang Beihang University
Liming Chen
Liming Chen École Centrale de Lyon
Zhaoxiang Zhang
Zhaoxiang Zhang Chinese Academy of Sciences
Mohamed Daoudi
Mohamed Daoudi IMT Nord Europe
Anil K. Jain
Anil K. Jain Michigan State University
Yuan Yan Tang
Yuan Yan Tang University of Macau
Stan Z. Li
Stan Z. Li Westlake University
Ioannis A. Kakadiaris
Ioannis A. Kakadiaris University of Houston
Jiebo Luo
Jiebo Luo University of Rochester
Bob Zhang
Bob Zhang University of Macau

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