World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6107
World Ranking
8925
National Ranking
541

Yulei Wu 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 Yulei Wu 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: 201 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Yulei Wu 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 Yulei Wu 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Yulei Wu is affiliated with the University of Bristol in the United Kingdom and has a significant body of research primarily situated within the fields of Computer Science and Engineering. Their work encompasses several subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering, and Aerospace Engineering.

Their research focuses on topics such as IoT and Edge/Fog Computing, Blockchain Technology Applications and Security, Network Security and Intrusion Detection, Software-Defined Networks and 5G, Privacy-Preserving Technologies in Data, Anomaly Detection Techniques and Applications, and Internet Traffic Analysis and Secure E-voting.

Wu's recent papers include:

  • Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0 (2020, IEEE Internet of Things Journal)
  • 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)
  • Graph Neural Networks for Anomaly Detection in Industrial Internet of Things (2021, IEEE Internet of Things Journal)
  • Cloud-Edge Orchestration for the Internet of Things: Architecture and AI-Powered Data Processing (2020, IEEE Internet of Things Journal)

Wu has collaborated frequently with several other researchers, including Jingguo Ge, Hong-Ning Dai, Dimitra Simeonidou, Geyong Min, and Hao Wang.

Their work has been published most often in venues such as arXiv (Cornell University), IEEE Internet of Things Journal, IEEE Network, Computer Networks, and IEEE Transactions on Industrial Informatics.

In addition to papers, Wu has contributed to several book publications, spanning publishers such as Computer Communications and Networks, Springer Science+Business Media, and Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Notable titles include 6G Mobile Wireless Networks (2021), Security Issues in Fog Computing from 5G to 6G (2022), and Big Data Technologies and Applications (2024).

Best Publications

  • A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory

    Unknown

  • Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0

    Yulei Wu;Hong-Ning Dai;Hao Wang

  • Graph Neural Networks for Anomaly Detection in Industrial Internet of Things

    Yulei Wu;Hong-Ning Dai;Haina Tang

  • Automatic Virtual Network Embedding: A Deep Reinforcement Learning Approach With Graph Convolutional Networks

    Zhongxia Yan;Jingguo Ge;Yulei Wu;Liangxiong Li

  • Cloud-Edge Orchestration for the Internet of Things: Architecture and AI-Powered Data Processing

    Yulei Wu

  • An Effective Approach to Controller Placement in Software Defined Wide Area Networks

    Guodong Wang;Yanxiao Zhao;Jun Huang;Yulei Wu

  • A Graph Neural Network-Based Digital Twin for Network Slicing Management

    Haozhe Wang;Yulei Wu;Geyong Min;Wang Miao

  • Deploying Edge Computing Nodes for Large-Scale IoT: A Diversity Aware Approach

    Zhiwei Zhao;Geyong Min;Weifeng Gao;Yulei Wu

  • Data-driven dynamic resource scheduling for network slicing: A Deep reinforcement learning approach

    Haozhe Wang;Yulei Wu;Geyong Min;Jie Xu

  • FDC: A Secure Federated Deep Learning Mechanism for Data Collaborations in the Internet of Things

    Bo Yin;Hao Yin;Yulei Wu;Zexun Jiang

  • Performance Modelling and Analysis of Software-Defined Networking under Bursty Multimedia Traffic

    Wang Miao;Geyong Min;Yulei Wu;Haozhe Wang

  • Encrypted Traffic Classification with a Convolutional Long Short-Term Memory Neural Network

    Zhuang Zou;Jingguo Ge;Hongbo Zheng;Yulei Wu

  • Editorial: recent advances in communication networks and multimedia technologies

    Yulei Wu;Peter Mueller;Jingguo Ge;Bahman Javadi

  • Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems

    Chengqiang Huang;Geyong Min;Yulei Wu;Yiming Ying

  • Energy-Aware Dual-Path Geographic Routing to Bypass Routing Holes in Wireless Sensor Networks

    Haojun Huang;Hao Yin;Geyong Min;Junbao Zhang

  • Attention-based bidirectional GRU networks for efficient HTTPS traffic classification

    Xun Liu;Junling You;Yulei Wu;Tong Li

  • Blockchain-Based Privacy Preservation for 5G-Enabled Drone Communications

    Yulei Wu;Hong-Ning Dai;Hao Wang;Kim-Kwang Raymond Choo

  • An Efficient Collaboration and Incentive Mechanism for Internet of Vehicles (IoV) With Secured Information Exchange Based on Blockchains

    Bo Yin;Yulei Wu;Tianshi Hu;Jiaqing Dong

  • Network Function Virtualization in Dynamic Networks: A Stochastic Perspective

    Xiangle Cheng;Yulei Wu;Geyong Min;Albert Y. Zomaya

  • An Intelligent Anomaly Detection Scheme for Micro-Services Architectures With Temporal and Spatial Data Analysis

    Yuan Zuo;Yulei Wu;Geyong Min;Chengqiang Huang

  • Stochastic Performance Analysis of Network Function Virtualization in Future Internet

    Wang Miao;Geyong Min;Yulei Wu;Haojun Huang

  • SCTSC: A Semicentralized Traffic Signal Control Mode With Attribute-Based Blockchain in IoVs

    Lichen Cheng;Jiqiang Liu;Guangquan Xu;Zonghua Zhang

  • A Comprehensive Survey

    Yuxiang Ma;Yulei Wu;Jingguo Ge

Frequent Co-Authors

Geyong Min
Geyong Min University of Exeter
Ahmed Al-Dubai
Ahmed Al-Dubai Edinburgh Napier University
Hong-Ning Dai
Hong-Ning Dai Hong Kong Baptist University
Laizhong Cui
Laizhong Cui Shenzhen University
Keqiu Li
Keqiu Li Tianjin University
Zheng Yan
Zheng Yan Xidian University
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Yi Pan
Yi Pan Shenzhen Institutes of Advanced Technology
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University

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