World's Best Scientists 2026 revealed!
Yunhong Wang

Yunhong Wang

D-Index & Metrics

Computer Science

D-Index
78
Citations
29773
World Ranking
1182
National Ranking
164

Yunhong Wang 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 Yunhong Wang 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: 517 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Yunhong Wang 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 Yunhong Wang 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: 78 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2018 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to biometrics, computer vision, and pattern recognition

Overview

Yunhong Wang is affiliated with Beihang University in China and has a research portfolio spanning computer science and engineering, with a particular focus on computer vision and pattern recognition. Their work includes topics such as advanced neural network applications, advanced image and video retrieval techniques, human pose and action recognition, video surveillance and tracking methods, domain adaptation and few-shot learning, multimodal machine learning applications, and anomaly detection techniques and applications.

Their recent publications cover a range of subjects in image processing and artificial intelligence, notable examples include:

  • PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • SparseTT: Visual Tracking with Sparse Transformers, 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • PGMAN: An Unsupervised Generative Multiadversarial Network for Pansharpening, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Yunhong Wang frequently collaborates with several researchers, including:

  • Qingjie Liu
  • Di Huang
  • Zehua Fu
  • Annan Li
  • Yuanfang Guo

Their research is often published in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Multimedia

Wang's main fields of study include computer science with a concentration on subfields like computer vision and pattern recognition and artificial intelligence, alongside media technology, aerospace engineering, and biomedical engineering.

The scientist has been recognized as a Fellow of the International Association for Pattern Recognition (IAPR) since 2018 for contributions to biometrics, computer vision, and pattern recognition.

Best Publications

  • Road Extraction by Deep Residual U-Net

    Zhengxin Zhang;Qingjie Liu;Yunhong Wang

  • Receptive Field Block Net for Accurate and Fast Object Detection

    Songtao Liu;Di Huang;Yunhong Wang

  • Personal identification based on iris texture analysis

    Li Ma;Tieniu Tan;Yunhong Wang;Dexin Zhang

  • Efficient iris recognition by characterizing key local variations

    Li Ma;Tieniu Tan;Yunhong Wang;Dexin Zhang

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

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

  • Iris recognition using circular symmetric filters

    Li Ma;Yunhong Wang;Tieniu Tan

  • Ordinal palmprint represention for personal identification [represention read representation]

    Zhenan Sun;Tieniu Tan;Yunhong Wang;S.Z. Li

  • Biometric personal identification based on iris patterns

    Yong Zhu;Tieniu Tan;Yunhong Wang

  • Live face detection based on the analysis of Fourier spectra

    Jiangwei Li;Yunhong Wang;Tieniu Tan;Anil K. Jain

  • Combining face and iris biometrics for identity verification

    Yunhong Wang;Tieniu Tan;Anil K. Jain

  • Iris Recognition Based on Multichannel Gabor Filtering

    Li Ma;Yunhong Wang;Tieniu Tan

  • 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

  • Remote sensing image fusion based on two-stream fusion network

    Xiangyu Liu;Qingjie Liu;Yunhong Wang

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

    Jiaxi Wu;Songtao Liu;Di Huang;Yunhong Wang

  • Local intensity variation analysis for iris recognition

    Li Ma;Tieniu Tan;Yunhong Wang;Dexin Zhang

  • STMTrack: Template-free Visual Tracking with Space-time Memory Networks

    Zhihong Fu;Qingjie Liu;Zehua Fu;Yunhong Wang

  • PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening

    Qingjie Liu;Huanyu Zhou;Qizhi Xu;Xiangyu Liu

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

    Xingchen Ma;Hongyu Yang;Qiang Chen;Di Huang

  • Font recognition based on global texture analysis

    Yong Zhu;Tieniu Tan;Yunhong Wang

  • Combining classifiers for face recognition

    Xiaoguang Lu;Yunhong Wang;A.K. Jain

  • Remote Sensing Image Fusion Based on Two-Stream Fusion Network

    Xiangyu Liu;Yunhong Wang;Qingjie Liu

Frequent Co-Authors

Di Huang
Di Huang Beihang University
Zhaoxiang Zhang
Zhaoxiang Zhang Chinese Academy of Sciences
Tieniu Tan
Tieniu Tan Chinese Academy of Sciences
Liming Chen
Liming Chen École Centrale de Lyon
Zhenan Sun
Zhenan Sun Chinese Academy of Sciences
Anil K. Jain
Anil K. Jain Michigan State University
Long Quan
Long Quan Hong Kong University of Science and Technology
Ling Shao
Ling Shao Terminus International
Jiebo Luo
Jiebo Luo University of Rochester
Junzhou Huang
Junzhou Huang The University of Texas at Arlington

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