World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
17101
World Ranking
2101
National Ranking
289

Yang Yang 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 Yang Yang 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: 628 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Yang Yang 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 Yang Yang 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: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Overview

Yang Yang is affiliated with the University of Electronic Science and Technology of China. Their research is situated primarily within the field of Computer Science, with a specialized focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Radiology, Nuclear Medicine and Imaging, and Computer Networks and Communications.

The scientist's work spans multiple topical areas, including:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications
  • Advanced Graph Neural Networks
  • Anomaly Detection Techniques and Applications

Yang Yang has contributed papers to a variety of publication venues. Frequent venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among their recent published papers are:

  • "Cross-Modal Attention With Semantic Consistence for Image-Text Matching," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing," 2020, IEEE Transactions on Knowledge and Data Engineering
  • "Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering," 2022, IEEE Transactions on Knowledge and Data Engineering
  • "Nuclear transport proteins: structure, function and disease relevance," 2023, Signal Transduction and Targeted Therapy
  • "BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction," 2021, arXiv (Cornell University)

Frequent collaborators in Yang Yang's work include:

  • Heng Tao Shen
  • Xing Xu
  • Guoqing Wang
  • Jiwei Wei
  • Yanli Ji

The scope and diversity of Yang Yang's publications, along with the variety of research topics and collaborations, demonstrate active engagement in current research trends within computer science, particularly at the intersection of multimodal machine learning and advanced neural network applications.

Best Publications

  • Relay technologies for WiMax and LTE-advanced mobile systems

    Yang Yang;Honglin Hu;Jing Xu;Guoqiang Mao

  • Adversarial Cross-Modal Retrieval

    Bokun Wang;Yang Yang;Xing Xu;Alan Hanjalic

  • Inter-media hashing for large-scale retrieval from heterogeneous data sources

    Jingkuan Song;Yang Yang;Yi Yang;Zi Huang

  • A review on recent sizing methodologies of hybrid renewable energy systems

    Jijian Lian;Yusheng Zhang;Chao Ma;Yang Yang

  • Dynamic Network Embedding by Modeling Triadic Closure Process.

    Le-kui Zhou;Yang Yang;Xiang Ren;Fei Wu

  • Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval

    Xing Xu;Fumin Shen;Yang Yang;Heng Tao Shen

  • Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization

    Fumin Shen;Yan Xu;Li Liu;Yang Yang

  • PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors

    Zeyuan Chen;Yangchao Wang;Yang Yang;Dong Liu

  • Describing Video With Attention-Based Bidirectional LSTM

    Yi Bin;Yang Yang;Fumin Shen;Ning Xie

  • Cross-Modal Attention With Semantic Consistence for Image–Text Matching

    Xing Xu;Tan Wang;Yang Yang;Lin Zuo

  • TI-CNN: Convolutional Neural Networks for Fake News Detection.

    Yang Yang;Lei Zheng;Jiawei Zhang;Qingcai Cui

  • Learning semantic visual vocabularies using diffusion distance

    Jingen Liu;Yang Yang;Mubarak Shah

  • Optimal design of multistage centrifugal pump based on the combined energy loss model and computational fluid dynamics

    Chuan Wang;Chuan Wang;Weidong Shi;Xikun Wang;Xikun Wang;Xiaoping Jiang

  • Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing

    Heng Tao Shen;Luchen Liu;Yang Yang;Xing Xu

  • Ternary Adversarial Networks With Self-Supervision for Zero-Shot Cross-Modal Retrieval

    Xing Xu;Huimin Lu;Jingkuan Song;Yang Yang

  • Video Captioning by Adversarial LSTM

    Yang Yang;Jie Zhou;Jiangbo Ai;Yi Bin

  • Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering

    Unknown

  • Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks

    Songyang Zhang;Yang Yang;Jun Xiao;Xiaoming Liu

  • Towards a Complete OWL Ontology Benchmark

    Unknown

  • Self-taught dimensionality reduction on the high-dimensional small-sized data

    Xiaofeng Zhu;Zi Huang;Yang Yang;Heng Tao Shen

  • Multitask Spectral Clustering by Exploring Intertask Correlation

    Yang Yang;Zhigang Ma;Yi Yang;Feiping Nie

  • Attribute-augmented semantic hierarchy: towards bridging semantic gap and intention gap in image retrieval

    Hanwang Zhang;Zheng-Jun Zha;Yang Yang;Shuicheng Yan

  • A Fast Optimization Method for General Binary Code Learning

    Fumin Shen;Xiang Zhou;Yang Yang;Jingkuan Song

  • Scalable Deep Hashing for Large-Scale Social Image Retrieval

    Hui Cui;Lei Zhu;Jingjing Li;Yang Yang

  • BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

    Yuhang Li;Ruihao Gong;Xu Tan;Yang Yang

  • Deep Learning Based Drug Screening for Novel Coronavirus 2019-nCov.

    Haiping Zhang;Konda Mani Saravanan;Yang Yang;Tofazzal Hossain

  • Zero-Shot Hashing via Transferring Supervised Knowledge

    Yang Yang;Yadan Luo;Weilun Chen;Fumin Shen

  • Generative-Adversarial-Network-Based Wireless Channel Modeling: Challenges and Opportunities

    Yang Yang;Yang Li;Wuxiong Zhang;Fei Qin

  • Learning Binary Codes for Maximum Inner Product Search

    Fumin Shen;Wei Liu;Shaoting Zhang;Yang Yang

Frequent Co-Authors

Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Fumin Shen
Fumin Shen University of Electronic Science and Technology of China
Zi Huang
Zi Huang University of Queensland
Chunping Hou
Chunping Hou Tianjin University
Jingjing Li
Jingjing Li Chinese University of Hong Kong
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Hanwang Zhang
Hanwang Zhang Nanyang Technological University
Yubin Gong
Yubin Gong University of Electronic Science and Technology of China
Jingkuan Song
Jingkuan Song Columbia University
Xuelong Li
Xuelong Li China Telecom (China)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online pathways in Computer Science opens doors to a variety of high-demand careers. Many students consider a data scientist degree for its blend of statistics, computing, and practical business applications. This pathway is known for offering both strong employment prospects and flexibility for online learning.

If you’re interested in technical fields, reviewing electrical engineering online tuition costs can help you understand the financial aspects of pursuing an engineering degree remotely. Many programs provide affordable options without compromising quality.

For those looking to advance their careers quickly, there are easy certifications to get that are recognized in the tech industry and can significantly boost earning potential. These certifications often require less time and investment than traditional degrees.

Additionally, accelerated education is possible with the shortest masters degree options in computing and related fields. These fast-track programs allow students to graduate sooner and enter the workforce or pursue advancement more rapidly.

Best Scientists Citing Yang Yang

Trending Scientists

Recently Published Articles