World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
3664
World Ranking
12795
National Ranking
173

Yang Cao 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 Cao 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: 139 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Yang Cao 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 Cao 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Yang Cao is a researcher affiliated with the Singapore University of Technology and Design in Singapore. Their work primarily spans the fields of engineering and computer science, with a focus on electrical and electronic engineering, computer networks and communications, aerospace engineering, artificial intelligence, and computer vision and pattern recognition.

The research topics addressed by Yang Cao encompass advanced wireless communication technologies, IoT and edge/fog computing, advanced MIMO systems optimization, wireless communication security techniques, ocular disorders and treatments, UAV applications and optimization, and stochastic gradient optimization techniques.

Yang Cao has published multiple papers in well-regarded academic venues. Notable recent publications include:

  • "Multi-UAV network assisted intelligent edge computing: Challenges and opportunities" (2022, China Communications)
  • "Delay-Aware Cooperative Task Offloading for Multi-UAV Enabled Edge-Cloud Computing" (2022, IEEE Transactions on Mobile Computing)
  • "Secrecy Analysis in NOMA Full-Duplex Relaying Networks With Artificial Jamming" (2021, IEEE Transactions on Vehicular Technology)
  • "A Distributed Framework for Task Offloading in Edge Computing Networks of Arbitrary Topology" (2020, IEEE Transactions on Wireless Communications)
  • "IRS-Aided Secure NOMA Networks Against Internal and External Eavesdropping" (2022, IEEE Transactions on Communications)

The most frequent publication venues for their work include:

  • IEEE Transactions on Vehicular Technology
  • China Communications
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Wireless Communications
  • Electronics

In collaboration, Yang Cao has worked extensively with several coauthors, including:

  • Nan Zhao
  • Yunfei Chen
  • Zhiguo Ding
  • Dusit Niyato
  • Min Sheng

Best Publications

  • Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios

    Zhihua Cui;Xianghua Xu;Fei Xue;Xingjuan Cai

  • Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection

    Jia-Xing Zhao;Yang Cao;Deng-Ping Fan;Ming-Ming Cheng

  • Spatial-bag-of-features

    Yang Cao;Changhu Wang;Zhiwei Li;Liqing Zhang

  • Edgel index for large-scale sketch-based image search

    Yang Cao;Changhu Wang;Liqing Zhang;Lei Zhang

  • Sensitivity Analysis of Discrete Stochastic Systems

    Rudiyanto Gunawan;Yang Cao;Linda Petzold;Francis J. Doyle

  • Edge Computing Framework for Cooperative Video Processing in Multimedia IoT Systems

    Changchun Long;Yang Cao;Tao Jiang;Qian Zhang

  • MindFinder: interactive sketch-based image search on millions of images

    Yang Cao;Hai Wang;Changhu Wang;Zhiwei Li

  • Capturing topology in graph pattern matching

    Shuai Ma;Yang Cao;Wenfei Fan;Jinpeng Huai

  • Cooperative device-to-device communications in cellular networks

    Yang Cao;Tao Jiang;Chonggang Wang

  • Deep Reinforcement Learning for Mobile Edge Caching: Review, New Features, and Open Issues

    Hao Zhu;Yang Cao;Wei Wang;Tao Jiang

  • Mobile Edge Computing for Big-Data-Enabled Electric Vehicle Charging

    Yue Cao;Houbing Song;Omprakash Kaiwartya;Bingpeng Zhou

  • Caching Transient Data for Internet of Things: A Deep Reinforcement Learning Approach

    Hao Zhu;Yang Cao;Xiao Wei;Wei Wang

  • Energy Cost Minimization for Distributed Internet Data Centers in Smart Microgrids Considering Power Outages

    Liang Yu;Tao Jiang;Yang Cao

  • Optimization or Alignment: Secure Primary Transmission Assisted by Secondary Networks

    Yang Cao;Nan Zhao;F. Richard Yu;Minglu Jin

  • Social-Aware Video Multicast Based on Device-to-Device Communications

    Yang Cao;Tao Jiang;Xu Chen;Junshan Zhang

  • Artificial noise assisted secure interference networks with wireless power transfer

    Nan Zhao;Yang Cao;F. Richard Yu;Yunfei Chen

  • Malicious Code Detection under 5G HetNets Based on a Multi-Objective RBM Model

    Zhihua Cui;Yaru Zhao;Yang Cao;Xingjuan Cai

  • Collaborative transmit diversity with adaptive radio resource and power allocation

    E.G. Larsson;Y. Cao

  • Secrecy Analysis for Cooperative NOMA Networks With Multi-Antenna Full-Duplex Relay

    Yang Cao;Nan Zhao;Gaofeng Pan;Yunfei Chen

  • Load Shaping Strategy Based on Energy Storage and Dynamic Pricing in Smart Grid

    Tao Jiang;Yang Cao;Liang Yu;Zhiqiang Wang

  • A Survey of Emerging M2M Systems: Context, Task, and Objective

    Yang Cao;Tao Jiang;Zhu Han

  • Carbon-Aware Energy Cost Minimization for Distributed Internet Data Centers in Smart Microgrids

    Liang Yu;Tao Jiang;Yang Cao;Qi Qi

  • Social-Aware Resource Allocation for Device-to-Device Communications Underlaying Cellular Networks

    Yulei Zhao;Yong Li;Yang Cao;Tao Jiang

  • Optimal parameter settings for bat algorithm

    Fei Xue;Yongquan Cai;Yang Cao;Zhihua Cui

  • A Many-Objective Optimization Based Intelligent Intrusion Detection Algorithm for Enhancing Security of Vehicular Networks in 6G

    Zhixia Zhang;Yang Cao;Zhihua Cui;Wensheng Zhang

  • Multi-UAV network assisted intelligent edge computing: Challenges and opportunities

    Unknown

  • A Novel Spectrum Sharing Scheme Assisted by Secondary NOMA Relay

    Bingcai Chen;Yu Chen;Yunfei Chen;Yang Cao

  • Secure Transmission via Joint Precoding Optimization for Downlink MISO NOMA

    Nan Zhao;Dongdong Li;Mingqian Liu;Yang Cao

  • MMSE multiuser detection for cooperative diversity CDMA systems

    Unknown

  • Secure Transmission via Beamforming Optimization for NOMA Networks

    Yang Cao;Nan Zhao;Yunfei Chen;Minglu Jin

  • Spatiotemporal Graph Convolution Multifusion Network for Urban Vehicle Emission Prediction

    Zhenyi Xu;Yu Kang;Yang Cao;Zhijun Li

  • Sensor-Augmented Neural Adaptive Bitrate Video Streaming on UAVs

    Xuedou Xiao;Wei Wang;Taobin Chen;Yang Cao

  • Deep Reinforcement Learning For Multi-User Access Control in Non-Terrestrial Networks

    Yang Cao;Shao-Yu Lien;Ying-Chang Liang

  • Deep Degradation Prior for Low-Quality Image Classification

    Yang Wang;Yang Cao;Zheng-Jun Zha;Jing Zhang

  • Secure Primary Transmission Assisted by a Secondary Full-Duplex NOMA Relay

    Bingcai Chen;Yu Chen;Yunfei Chen;Yang Cao

Frequent Co-Authors

Yunfei Chen
Yunfei Chen University of Warwick
Nan Zhao
Nan Zhao Dalian University of Technology
Zhiguo Ding
Zhiguo Ding Nanyang Technological University
F. Richard Yu
F. Richard Yu Carleton University
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Xianbin Wang
Xianbin Wang University of Western Ontario
Hikmet Sari
Hikmet Sari Nanjing University of Posts and Telecommunications
Mohamed-Slim Alouini
Mohamed-Slim Alouini King Abdullah University of Science and Technology
Guan Gui
Guan Gui Nanjing University of Posts and Telecommunications
Zan Li
Zan Li Xidian University

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

The field of Computer Science offers a wide range of online degree options to fit your goals and lifestyle. For those looking to advance quickly, you may consider some of the quickest masters degree online programs, which allow you to complete your studies in less time and enter the workforce sooner.

Choosing a program that aligns with in-demand skills is essential. Explore the most useful masters degrees to ensure your investment leads to valuable career opportunities within tech and beyond.

If you’re just starting your academic journey, online associate degree programs can provide a solid foundation in computer science and offer great flexibility. These programs often serve as a pathway to higher degrees or entry-level jobs.

Cost is another important factor. Many cheap online colleges offer accredited computer science programs, making quality education accessible without breaking the bank. Weigh your options to find the right program and start building your future in tech.

Best Scientists Citing Yang Cao

Trending Scientists

Recently Published Articles