World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7149
World Ranking
8419
National Ranking
114

Jun 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 Jun 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Jun 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 Jun 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Jun Wu is a researcher affiliated with Waseda University in Japan. Their academic work spans multiple fields, primarily focusing on computer science and engineering. The researcher's contributions encompass 211 publications in computer science and 118 in engineering.

Jun Wu's research delves into several subfields of study, including:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Materials Chemistry
  • Electrical and Electronic Engineering
  • Information Systems

The main topics addressed in their work cover:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Crystallization and Solubility Studies
  • X-ray Diffraction in Crystallography
  • Privacy-Preserving Technologies in Data
  • Caching and Content Delivery
  • Advanced Wireless Communication Technologies

Jun Wu has published articles in frequent venues such as:

  • The Cambridge Structural Database (28 publications)
  • IEEE Internet of Things Journal (15 publications)
  • IEEE Transactions on Intelligent Transportation Systems (8 publications)
  • IEEE Transactions on Industrial Informatics (8 publications)
  • IEEE Transactions on Dependable and Secure Computing (7 publications)

Some notable recent papers authored or coauthored by Jun Wu include:

  • "Application-Aware Consensus Management for Software-Defined Intelligent Blockchain in IoT," 2020, IEEE Network
  • "A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges," 2020, IEEE/CAA Journal of Automatica Sinica
  • "Blockchain-Based On-Demand Computing Resource Trading in IoV-Assisted Smart City," 2020, IEEE Transactions on Emerging Topics in Computing
  • "A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools," 2023, IEEE Communications Surveys & Tutorials
  • "Blockchain-Based Incentive Energy-Knowledge Trading in IoT: Joint Power Transfer and AI Design," 2020, IEEE Internet of Things Journal

Frequent collaborators in their research include Jianhua Li, Ali Kashif Bashir, Wu Yang, Qianqian Pan, and Gaolei Li.

Jun Wu has contributed to book publications, including a title published by the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering: "Broadband Communications, Networks, and Systems" (2023).

Best Publications

  • A Survey on Green 6G Network: Architecture and Technologies

    Tongyi Huang;Wu Yang;Jun Wu;Jin Ma

  • A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

    Xing Yang;Lei Shu;Jianing Chen;Mohamed Amine Ferrag

  • Achieving Efficient and Secure Data Acquisition for Cloud-Supported Internet of Things in Smart Grid

    Zhitao Guan;Jing Li;Longfei Wu;Yue Zhang

  • Energy Efficiency and Spectral Efficiency Tradeoff in Device-to-Device (D2D) Communications

    Zhenyu Zhou;Mianxiong Dong;Kaoru Ota;Jun Wu

  • Blockchain-Based On-Demand Computing Resource Trading in IoV-Assisted Smart City

    Xi Lin;Jun Wu;Shahid Mumtaz;Sahil Garg

  • APPA: An anonymous and privacy preserving data aggregation scheme for fog-enhanced IoT

    Zhitao Guan;Yue Zhang;Longfei Wu;Jun Wu

  • Big Data Analysis-Based Secure Cluster Management for Optimized Control Plane in Software-Defined Networks

    Jun Wu;Mianxiong Dong;Kaoru Ota;Jianhua Li

  • Making Knowledge Tradable in Edge-AI Enabled IoT: A Consortium Blockchain-Based Efficient and Incentive Approach

    Xi Lin;Jianhua Li;Jun Wu;Haoran Liang

  • FCSS: Fog-Computing-based Content-Aware Filtering for Security Services in Information-Centric Social Networks

    Jun Wu;Mianxiong Dong;Kaoru Ota;Jianhua Li

  • A Secure Mechanism for Big Data Collection in Large Scale Internet of Vehicle

    Longhua Guo;Mianxiong Dong;Kaoru Ota;Qiang Li

  • Big Data Analysis-Based Security Situational Awareness for Smart Grid

    Jun Wu;Kaoru Ota;Mianxiong Dong;Jianhua Li

  • Decentralized On-Demand Energy Supply for Blockchain in Internet of Things: A Microgrids Approach

    Jianan Li;Zhenyu Zhou;Jun Wu;Jianhua Li

  • Service Popularity-Based Smart Resources Partitioning for Fog Computing-Enabled Industrial Internet of Things

    Gaolei Li;Jun Wu;Jianhua Li;Kuan Wang

  • A Hierarchical Security Framework for Defending Against Sophisticated Attacks on Wireless Sensor Networks in Smart Cities

    Jun Wu;Kaoru Ota;Mianxiong Dong;Chunxiao Li

  • Achieving Efficient Detection Against False Data Injection Attacks in Smart Grid

    Ruzhi Xu;Rui Wang;Zhitao Guan;Longfei Wu

  • Digital Twin Consensus for Blockchain-Enabled Intelligent Transportation Systems in Smart Cities

    Unknown

  • Fog-Computing-Enabled Cognitive Network Function Virtualization for an Information-Centric Future Internet

    Jun Wu;Mianxiong Dong;Kaoru Ota;Jianhua Li

  • Application-Aware Consensus Management for Software-Defined Intelligent Blockchain in IoT

    Jun Wu;Mianxiong Dong;Kaoru Ota;Jianhua Li

  • MBID: Micro-Blockchain-Based Geographical Dynamic Intrusion Detection for V2X

    Haoran Liang;Jun Wu;Shahid Mumtaz;Jianhua Li

  • Blockchain-Based Incentive Energy-Knowledge Trading in IoT: Joint Power Transfer and AI Design

    Xi Lin;Jun Wu;Ali Kashif Bashir;Jianhua Li

  • Smart Grid Standards: Specifications, Requirements, and Technologies

    Takuro Sato;Daniel M. Kammen;Bin Duan;Martin Macuha

Frequent Co-Authors

Mianxiong Dong
Mianxiong Dong Muroran Institute of Technology
Kaoru Ota
Kaoru Ota Tohoku University
Zhenyu Zhou
Zhenyu Zhou North China Electric Power University
Ali Kashif Bashir
Ali Kashif Bashir Manchester Metropolitan University
Shahid Mumtaz
Shahid Mumtaz Nottingham Trent University
Daniel M. Kammen
Daniel M. Kammen University of California, Berkeley
Xiaojiang Du
Xiaojiang Du Stevens Institute of Technology
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Xi Zheng
Xi Zheng Macquarie University
Jie Wu
Jie Wu Temple University

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