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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
109
Citations
51000
World Ranking
243
National Ranking
29

Wen Gao 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 Wen Gao 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: 1,388 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Wen Gao 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 Wen Gao 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: 109 D-Index — 98th percentile

98% 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

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2013 - ACM Fellow For contributions to video technology, and for leadership to advance computing in China.

Overview

Wen Gao is a researcher affiliated with Peking University in China, with a strong focus on computer science and related fields. Their research portfolio is extensive, encompassing 304 publications primarily in the domain of Computer Science.

Their work covers several specialized subfields, including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Signal Processing
  • Media Technology
  • Electrical and Electronic Engineering

The main topics addressed by Wen Gao include:

  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Advanced Data Compression Techniques
  • Image and Signal Denoising Methods
  • Video Coding and Compression Technologies
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods

Wen Gao has contributed significantly to numerous research venues, with a noteworthy presence in:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Image Processing
  • PubMed

Among their recent papers are works such as:

  • "FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare," published in 2020 in IEEE Intelligent Systems
  • "SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network," 2020, IEEE Transactions on Medical Imaging
  • "Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics," 2020, IEEE Transactions on Image Processing
  • "Optimization-Inspired Compact Deep Compressive Sensing," 2020, IEEE Journal of Selected Topics in Signal Processing
  • "CGD: Multi-View Clustering via Cross-View Graph Diffusion," 2020, Proceedings of the AAAI Conference on Artificial Intelligence

In the domain of book publishing, Wen Gao has authored three works released by Springer Science+Business Media, including:

  • "Variable Neighborhood Search" (2020)
  • "Cross-Cultural Design. Applications in Cultural Heritage, Tourism, Autonomous Vehicles, and Intelligent Agents" (2021)
  • "Information Security and Cryptology" (2021)

Frequent collaborators in Wen Gao's research include:

  • Siwei Ma
  • Shanshe Wang
  • Chuanmin Jia
  • Xinfeng Zhang
  • Shiqi Wang

Wen Gao was awarded the ACM Fellow distinction in 2013, recognized for contributions to video technology and leadership in advancing computing in China.

Best Publications

  • Person Transfer GAN to Bridge Domain Gap for Person Re-identification

    Longhui Wei;Shiliang Zhang;Wen Gao;Qi Tian

  • The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations

    Wen Gao;Bo Cao;Shiguang Shan;Xilin Chen

  • Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition

    Wenchao Zhang;Shiguang Shan;Wen Gao;Xilin Chen

  • WLD: A Robust Local Image Descriptor

    Jie Chen;Shiguang Shan;Chu He;Guoying Zhao

  • Pose-Driven Deep Convolutional Model for Person Re-identification

    Chi Su;Jianing Li;Shiliang Zhang;Junliang Xing

  • Group-based sparse representation for image restoration.

    Jian Zhang;Debin Zhao;Wen Gao

  • Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition

    Baochang Zhang;Shiguang Shan;Xilin Chen;Wen Gao

  • Manifold-Manifold Distance with application to face recognition based on image set

    Ruiping Wang;Shiguang Shan;Xilin Chen;Wen Gao

  • Illumination normalization for robust face recognition against varying lighting conditions

    Shiguang Shan;Wen Gao;Bo Cao;Debin Zhao

  • Fast and robust text detection in images and video frames

    Qixiang Ye;Qingming Huang;Wen Gao;Debin Zhao

  • Deep Attributes Driven Multi-camera Person Re-identification

    Chi Su;Shiliang Zhang;Junliang Xing;Wen Gao

  • Hierarchical Ensemble of Global and Local Classifiers for Face Recognition

    Yu Su;Shiguang Shan;Xilin Chen;Wen Gao

  • Rate-distortion analysis for H.264/AVC video coding and its application to rate control

    S. Ma;Wen Gao;Yan Lu

  • Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching

    Shiqing Zhang;Shiliang Zhang;Tiejun Huang;Wen Gao

  • GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval

    Longhui Wei;Shiliang Zhang;Hantao Yao;Wen Gao

  • Efficient 3D reconstruction for face recognition

    Dalong Jiang;Yuxiao Hu;Shuicheng Yan;Lei Zhang

  • Locally Linear Regression for Pose-Invariant Face Recognition

    Xiujuan Chai;Shiguang Shan;Xilin Chen;Wen Gao

  • Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition

    Shiqing Zhang;Shiliang Zhang;Tiejun Huang;Wen Gao

  • Image Matching by Normalized Cross-Correlation

    Feng Zhao;Qingming Huang;Wen Gao

  • SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network

    Meng Li;William Hsu;Xiaodong Xie;Jason Cong

  • Semi-Supervised Discriminant Analysis via Spectral Transduction

    Deming Zhai;Hong Chang;Bo Li;Shiguang Shan

Frequent Co-Authors

Debin Zhao
Debin Zhao Harbin Institute of Technology
Siwei Ma
Siwei Ma Peking University
Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Shiguang Shan
Shiguang Shan Chinese Academy of Sciences
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Tiejun Huang
Tiejun Huang Peking University
Ling-Yu Duan
Ling-Yu Duan Peking University
Shiqi Wang
Shiqi Wang City University of Hong Kong
Ruiqin Xiong
Ruiqin Xiong Peking University
Feng Wu
Feng Wu University of Science and Technology of China

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