World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
10655
World Ranking
4129
National Ranking
122

Xuyun Zhang 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 Xuyun Zhang 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: 223 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Xuyun Zhang 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 Xuyun Zhang 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Xuyun Zhang is affiliated with Macquarie University in Australia and has contributed extensively to the field of computer science, with a focus on several key subfields.

The main areas of Zhang's research cover:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Zhang's work addresses various topics including:

  • Privacy-Preserving Technologies in Data
  • Recommender Systems and Techniques
  • IoT and Edge/Fog Computing
  • Network Security and Intrusion Detection
  • Caching and Content Delivery
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning

Among recent publications, notable papers include:

  • "Membership Inference Attacks on Machine Learning: A Survey" (2022), published in ACM Computing Surveys
  • "Privacy-Aware Data Fusion and Prediction With Spatial-Temporal Context for Smart City Industrial Environment" (2020), published in IEEE Transactions on Industrial Informatics
  • "FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT" (2021), published in IEEE Transactions on Industrial Informatics
  • "A Correlation Graph based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development" (2022), published in IEEE Transactions on Knowledge and Data Engineering
  • "An attention-based category-aware GRU model for the next POI recommendation" (2021), published in International Journal of Intelligent Systems

Zhang frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Services Computing
  • IEEE Transactions on Industrial Informatics
  • ACM Transactions on Multimedia Computing Communications and Applications

Zhang collaborates often with several coauthors, including:

  • Lianyong Qi
  • Xiaolong Xu
  • Wanchun Dou
  • Amin Beheshti
  • Zoran Salčić

Best Publications

  • Membership Inference Attacks on Machine Learning: A Survey

    Hongsheng Hu;Zoran Salcic;Gillian Dobbie;Xuyun Zhang

  • A Game-Theoretical Approach for User Allocation in Edge Computing Environment

    Qiang He;Guangming Cui;Xuyun Zhang;Feifei Chen

  • A Scalable Two-Phase Top-Down Specialization Approach for Data Anonymization Using MapReduce on Cloud

    Xuyun Zhang;Laurence T. Yang;Chang Liu;Jinjun Chen

  • A computation offloading method over big data for IoT-enabled cloud-edge computing

    Xiaolong Xu;Xiaolong Xu;Qingxiang Liu;Yun Luo;Kai Peng

  • BeCome: Blockchain-Enabled Computation Offloading for IoT in Mobile Edge Computing

    Xiaolong Xu;Xuyun Zhang;Honghao Gao;Yuan Xue

  • Authorized Public Auditing of Dynamic Big Data Storage on Cloud with Efficient Verifiable Fine-Grained Updates

    Chang Liu;Jinjun Chen;Laurence T. Yang;Xuyun Zhang

  • MuR-DPA: Top-Down Levelled Multi-Replica Merkle Hash Tree Based Secure Public Auditing for Dynamic Big Data Storage on Cloud

    Chang Liu;Rajiv Ranjan;Chi Yang;Xuyun Zhang

  • Privacy-Aware Data Fusion and Prediction With Spatial-Temporal Context for Smart City Industrial Environment

    Lianyong Qi;Chunhua Hu;Xuyun Zhang;Mohammad R. Khosravi

  • An edge computing-enabled computation offloading method with privacy preservation for internet of connected vehicles

    Xiaolong Xu;Xiaolong Xu;Yuan Xue;Lianyong Qi;Yuan Yuan

  • A Correlation Graph Based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development

    Unknown

  • External integrity verification for outsourced big data in cloud and IoT

    Chang Liu;Chi Yang;Xuyun Zhang;Jinjun Chen

  • KASR: A Keyword-Aware Service Recommendation Method on MapReduce for Big Data Applications

    Shunmei Meng;Wanchun Dou;Xuyun Zhang;Jinjun Chen

  • A Privacy Leakage Upper Bound Constraint-Based Approach for Cost-Effective Privacy Preserving of Intermediate Data Sets in Cloud

    Xuyun Zhang;Chang Liu;Surya Nepal;Suraj Pandey

  • A Distributed Locality-Sensitive Hashing-Based Approach for Cloud Service Recommendation From Multi-Source Data

    Lianyong Qi;Xuyun Zhang;Wanchun Dou;Qiang Ni

  • A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems

    Lianyong Qi;Yi Chen;Yuan Yuan;Shucun Fu

  • A two-stage locality-sensitive hashing based approach for privacy-preserving mobile service recommendation in cross-platform edge environment

    Lianyong Qi;Lianyong Qi;Xuyun Zhang;Wanchun Dou;Chunhua Hu

  • HireSome-II: Towards Privacy-Aware Cross-Cloud Service Composition for Big Data Applications

    Wanchun Dou;Xuyun Zhang;Jianxun Liu;Jinjun Chen

  • Fast Memory Efficient Local Outlier Detection in Data Streams

    Mahsa Salehi;Christopher Leckie;James C. Bezdek;Tharshan Vaithianathan

  • Finding All You Need: Web APIs Recommendation in Web of Things Through Keywords Search

    Lianyong Qi;Qiang He;Feifei Chen;Wanchun Dou

  • EnReal : An Energy-Aware Resource Allocation Method for Scientific Workflow Executions in Cloud Environment

    Xiaolong Xu;Wanchun Dou;Xuyun Zhang;Jinjun Chen

  • A hybrid approach for scalable sub-tree anonymization over big data using MapReduce on cloud

    Xuyun Zhang;Chang Liu;Surya Nepal;Chi Yang

Frequent Co-Authors

Lianyong Qi
Lianyong Qi Qufu Normal University
Wanchun Dou
Wanchun Dou Nanjing University
Xiaolong Xu
Xiaolong Xu Nanjing University of Information Science and Technology
Jinjun Chen
Jinjun Chen Swinburne University of Technology
Qiang He
Qiang He Swinburne University of Technology
Surya Nepal
Surya Nepal Commonwealth Scientific and Industrial Research Organisation
Yun Yang
Yun Yang Swinburne University of Technology
Christopher Leckie
Christopher Leckie University of Melbourne
Shaohua Wan
Shaohua Wan University of Electronic Science and Technology of China
Gautam Srivastava
Gautam Srivastava Brandon University

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