World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
6204
World Ranking
7696
National Ranking
1015

Gang Sun 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 Gang Sun 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: 169 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Gang Sun 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 Gang Sun 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Gang Sun is affiliated with the University of Electronic Science and Technology of China. Their research contributions span various fields within computer science and engineering, with particular attention to areas such as computer networks and communications, artificial intelligence, and information systems.

The scientist has published extensively, contributing to topics that include IoT and edge/fog computing, blockchain technology applications and security, software-defined networks and 5G, privacy-preserving technologies in data, cloud computing and resource management, stochastic gradient optimization techniques, and advanced optical network technologies.

Gang Sun's recent publications include:

  • HiFuse: Hierarchical multi-scale feature fusion network for medical image classification, 2023, Biomedical Signal Processing and Control
  • Latency performance modeling and analysis for hyperledger fabric blockchain network, 2020, Information Processing & Management
  • Dynamic Network Function Provisioning to Enable Network in Box for Industrial Applications, 2020, IEEE Transactions on Industrial Informatics
  • Game Theoretic Approach for Multipriority Data Transmission in 5G Vehicular Networks, 2022, IEEE Transactions on Intelligent Transportation Systems
  • PSACCF: Prioritized Online Slice Admission Control Considering Fairness in 5G/B5G Networks, 2022, IEEE Transactions on Network Science and Engineering

The scientist frequently publishes in venues including:

  • IEEE Internet of Things Journal
  • arXiv (Cornell University)
  • IEEE Transactions on Network and Service Management
  • IEEE Transactions on Services Computing
  • IEEE Transactions on Intelligent Transportation Systems

Gang Sun collaborates regularly with several co-authors, such as Hongfang Yu, Dusit Niyato, Mohsen Guizani, Zonghang Li, and Long Luo.

Best Publications

  • Bus-Trajectory-Based Street-Centric Routing for Message Delivery in Urban Vehicular Ad Hoc Networks

    Gang Sun;Yijing Zhang;Dan Liao;Hongfang Yu

  • Service Function Chain Orchestration Across Multiple Domains: A Full Mesh Aggregation Approach

    Gang Sun;Yayu Li;Dan Liao;Victor Chang

  • Low-Latency and Resource-Efficient Service Function Chaining Orchestration in Network Function Virtualization

    Gang Sun;Zhu Xu;Hongfang Yu;Xi Chen

  • Live Migration for Multiple Correlated Virtual Machines in Cloud-Based Data Centers

    Gang Sun;Dan Liao;Dongcheng Zhao;Zichuan Xu

  • Intersection Fog-Based Distributed Routing for V2V Communication in Urban Vehicular Ad Hoc Networks

    Gang Sun;Yijing Zhang;Hongfang Yu;Xiaojiang Du

  • Latency performance modeling and analysis for hyperledger fabric blockchain network

    Xiaoqiong Xu;Gang Sun;Long Luo;Huilong Cao

  • V2V Routing in a VANET Based on the Autoregressive Integrated Moving Average Model

    Gang Sun;Liangjun Song;Hongfang Yu;Victor Chang

  • Cost-Efficient Service Function Chain Orchestration for Low-Latency Applications in NFV Networks

    Gang Sun;Gungyang Zhu;Dan Liao;Hongfang Yu

  • Efficient location privacy algorithm for Internet of Things (IoT) services and applications

    Gang Sun;Victor Chang;Muthu Ramachandran;Zhili Sun

  • Cost Efficient Design of Survivable Virtual Infrastructure to Recover from Facility Node Failures

    Hongfang Yu;Vishal Anand;Chunming Qiao;Gang Sun

  • Survivable Virtual Infrastructure Mapping in a Federated Computing and Networking System under Single Regional Failures

    Hongfang Yu;Chunming Qiao;Vishal Anand;Xin Liu

  • Dynamic Network Function Provisioning to Enable Network in Box for Industrial Applications

    Gang Sun;Zhu Xu;Hongfang Yu;Victor Chang

  • Game Theoretic Approach for Multipriority Data Transmission in 5G Vehicular Networks

    Unknown

  • PSACCF: Prioritized Online Slice Admission Control Considering Fairness in 5G/B5G Networks

    Unknown

  • A new technique for efficient live migration of multiple virtual machines

    Gang Sun;Dan Liao;Vishal Anand;Dongcheng Zhao

  • PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks

    Unknown

  • A cost efficient framework and algorithm for embedding dynamic virtual network requests

    Gang Sun;Hongfang Yu;Vishal Anand;Lemin Li

  • L2P2: A location-label based approach for privacy preserving in LBS

    Gang Sun;Dan Liao;Hui Li;Hongfang Yu

  • Energy-efficient and traffic-aware service function chaining orchestration in multi-domain networks

    Gang Sun;Yayu Li;Hongfang Yu;Athanasios V. Vasilakos

  • Blockchain-Enhanced High-Confidence Energy Sharing in Internet of Electric Vehicles

    Gang Sun;Miao Dai;Feng Zhang;Hongfang Yu

  • User-defined privacy location-sharing system in mobile online social networks

    Gang Sun;Yuxia Xie;Dan Liao;Hongfang Yu

  • Power-Efficient Provisioning for Online Virtual Network Requests in Cloud-Based Data Centers

    Gang Sun;Vishal Anand;Dan Liao;Chuan Lu

  • Blockchain Meets VANET: An Architecture for Identity and Location Privacy Protection in VANET

    Hui Li;Lishuang Pei;Dan Liao;Gang Sun

Frequent Co-Authors

Hongfang Yu
Hongfang Yu University of Electronic Science and Technology of China
Victor Chang
Victor Chang Aston University
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Xiaojiang Du
Xiaojiang Du Stevens Institute of Technology
Chunming Qiao
Chunming Qiao University at Buffalo, State University of New York
Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology
Zhili Sun
Zhili Sun University of Surrey
Sabita Maharjan
Sabita Maharjan University of Oslo
Jin Li
Jin Li Chinese Academy of Sciences
Zenglin Xu
Zenglin Xu Harbin Institute of Technology

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