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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
88
Citations
26662
World Ranking
692
National Ranking
102

Song Guo 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 Song Guo 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: 627 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.

Song Guo 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 Song Guo 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: 88 D-Index — 95th percentile

95% 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
  • 2020 - ACM Distinguished Member
  • 2020 - IEEE Fellow For contributions to high performance and resilient distributed computing
  • 2012 - ACM Senior Member

Overview

Song Guo is affiliated with the Hong Kong University of Science and Technology in China and has made extensive contributions in the field of Computer Science, authoring over 700 publications. Their research primarily spans subfields such as Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, and Computer Vision and Pattern Recognition.

Their research topics include Privacy-Preserving Technologies in Data, IoT and Edge/Fog Computing, Blockchain Technology Applications and Security, Stochastic Gradient Optimization Techniques, Age of Information Optimization, Domain Adaptation and Few-Shot Learning, and Advanced Neural Network Applications.

Song Guo's frequent co-authors include Jingcai Guo, Wenchao Xu, Zhihao Qu, Haozhao Wang, and Zicong Hong.

Publications have appeared regularly in venues such as arXiv (Cornell University), IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Parallel and Distributed Systems, and IEEE Transactions on Computers.

Some recent papers authored by Song Guo include:

  • A Learning-Based Incentive Mechanism for Federated Learning, 2020, IEEE Internet of Things Journal
  • A Survey of Incentive Mechanism Design for Federated Learning, 2021, IEEE Transactions on Emerging Topics in Computing
  • A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory, 2022, IEEE Communications Surveys & Tutorials
  • A Deep Reinforcement Learning Based Offloading Game in Edge Computing, 2020, IEEE Transactions on Computers
  • Imitation Learning Enabled Task Scheduling for Online Vehicular Edge Computing, 2020, IEEE Transactions on Mobile Computing

Recognition for Song Guo's contributions includes honors such as ACM Senior Member since 2012 and, notably in 2020, being named an ACM Distinguished Member as well as an IEEE Fellow for contributions to high performance and resilient distributed computing.

Best Publications

  • Information and Communications Technologies for Sustainable Development Goals: State-of-the-Art, Needs and Perspectives

    Jinsong Wu;Song Guo;Huawei Huang;William Liu

  • A Learning-Based Incentive Mechanism for Federated Learning

    Yufeng Zhan;Peng Li;Zhihao Qu;Deze Zeng

  • Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System

    Deze Zeng;Lin Gu;Song Guo;Zixue Cheng

  • Green Industrial Internet of Things Architecture: An Energy-Efficient Perspective

    Kun Wang;Yihui Wang;Yanfei Sun;Song Guo

  • Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System

    Lin Gu;Deze Zeng;Song Guo;Ahmed Barnawi

  • Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions

    Hongji Huang;Song Guo;Guan Gui;Zhen Yang

  • A Survey on Energy Internet: Architecture, Approach, and Emerging Technologies

    Kun Wang;Jun Yu;Yan Yu;Yirou Qian

  • Big Data Meet Green Challenges: Big Data Toward Green Applications

    Jinsong Wu;Song Guo;Jie Li;Deze Zeng

  • Blockchain Meets Edge Computing: A Distributed and Trusted Authentication System

    Shaoyong Guo;Xing Hu;Song Guo;Xuesong Qiu

  • Protection of Big Data Privacy

    Abid Mehmood;Iynkaran Natgunanathan;Yong Xiang;Guang Hua

  • Discriminating DDoS Attacks from Flash Crowds Using Flow Correlation Coefficient

    Shui Yu;Wanlei Zhou;Weijia Jia;Song Guo

  • SAMR: A Self-adaptive MapReduce Scheduling Algorithm in Heterogeneous Environment

    Quan Chen;Daqiang Zhang;Minyi Guo;Qianni Deng

  • A Comprehensive Survey of Blockchain: From Theory to IoT Applications and Beyond

    Mingli Wu;Kun Wang;Xiaoqin Cai;Song Guo

  • Can We Beat DDoS Attacks in Clouds

    Shui Yu;Yonghong Tian;Song Guo;Dapeng Oliver Wu

  • The Web of Things: A Survey (Invited Paper)

    Unknown

  • Making Big Data Open in Edges: A Resource-Efficient Blockchain-Based Approach

    Chenhan Xu;Kun Wang;Peng Li;Song Guo

  • A Survey of Incentive Mechanism Design for Federated Learning

    Yufeng Zhan;Jie Zhang;Zicong Hong;Leijie Wu

  • Efficient Algorithms for Capacitated Cloudlet Placements

    Zichuan Xu;Weifa Liang;Wenzheng Xu;Mike Jia

  • Achieving Sustainable Ultra-Dense Heterogeneous Networks for 5G

    Jianping An;Kai Yang;Jinsong Wu;Neng Ye

  • Big Data Meet Green Challenges: Greening Big Data

    Jinsong Wu;Song Guo;Jie Li;Deze Zeng

  • Multi-Hop Cooperative Computation Offloading for Industrial IoT–Edge–Cloud Computing Environments

    Zicong Hong;Wuhui Chen;Huawei Huang;Song Guo

  • Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid

    Kun Wang;Chenhan Xu;Yan Zhang;Song Guo

Frequent Co-Authors

Minyi Guo
Minyi Guo Shanghai Jiao Tong University
Kun Wang
Kun Wang University of California, Los Angeles
Huawei Huang
Huawei Huang Sun Yat-sen University
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Shui Yu
Shui Yu University of Technology Sydney
Sanglu Lu
Sanglu Lu Nanjing University
Mianxiong Dong
Mianxiong Dong Muroran Institute of Technology
Chunxiao Jiang
Chunxiao Jiang Tsinghua University
Hai Jin
Hai Jin Huazhong University of Science and Technology
Weifa Liang
Weifa Liang City University of Hong Kong

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Related Online Degrees & Career Pathways

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Finally, students interested in interdisciplinary fields might ask, what can you do with an environmental studies degree? Combining computer science with environmental expertise can lead to roles in data analytics, sustainability tech, and environmental modeling—pathways with growing impact and opportunity.

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