World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
13472
World Ranking
3437
National Ranking
98

Yong Xiang 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 Yong Xiang 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: 327 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Yong Xiang 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 Yong Xiang 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Yong Xiang is affiliated with Deakin University in Australia and has an extensive publication record in the field of Computer Science, with a particular focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, and Signal Processing.

Their research encompasses several main topics, including:

  • Privacy-Preserving Technologies in Data
  • Blockchain Technology Applications and Security
  • Cryptography and Data Security
  • Advanced Steganography and Watermarking Techniques
  • Chaos-based Image/Signal Encryption
  • IoT and Edge/Fog Computing
  • Digital Media Forensic Detection

Yong Xiang has contributed to numerous papers. Some recent publications include:

  • "Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing," 2020, IEEE Internet of Things Journal
  • "A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks," 2020, IEEE Transactions on Industrial Informatics
  • "Automatic Modulation Classification Using CNN-LSTM Based Dual-Stream Structure," 2020, IEEE Transactions on Vehicular Technology
  • "Asynchronous Federated Learning on Heterogeneous Devices: A Survey," 2023, Computer Science Review
  • "Blockchain-enabled Federated Learning: A Survey," 2022, ACM Computing Surveys

Frequent co-authors in their research include:

  • Longxiang Gao
  • Youyang Qu
  • Yushu Zhang
  • Tom H. Luan
  • Mumtaz Ali

The scientist has published extensively in various venues, with notable frequency in:

  • IEEE Transactions on Services Computing (12 publications)
  • arXiv (Cornell University) (10 publications)
  • IEEE Internet of Things Journal (9 publications)
  • IEEE Transactions on Mobile Computing (8 publications)
  • SSRN Electronic Journal (6 publications)

Yong Xiang has also contributed to book publications, including a title published by Springer International Publishing:

  • "Privacy-Preserving in Edge Computing," 2021

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

  • Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions

    Ranesh Kumar Naha;Saurabh Garg;Dimitrios Georgakopoulos;Prem Prakash Jayaraman

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

    Lin Gu;Deze Zeng;Song Guo;Ahmed Barnawi

  • Network Traffic Classification Using Correlation Information

    Jun Zhang;Yang Xiang;Yu Wang;Wanlei Zhou

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

    Kun Wang;Jun Yu;Yan Yu;Yirou Qian

  • Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing

    Youyang Qu;Longxiang Gao;Tom H. Luan;Yong Xiang

  • 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

  • A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks

    Youyang Qu;Shiva Raj Pokhrel;Sahil Garg;Longxiang Gao

  • Massive MIMO Linear Precoding: A Survey

    Nusrat Fatema;Guang Hua;Yong Xiang;Dezhong Peng

  • Software-Defined Wireless Networking Opportunities and Challenges for Internet-of-Things: A Review

    Keshav Sood;Shui Yu;Yong Xiang

  • Automatic Modulation Classification Using CNN-LSTM Based Dual-Stream Structure

    Zufan Zhang;Hao Luo;Chun Wang;Chenquan Gan

  • Internet Traffic Classification by Aggregating Correlated Naive Bayes Predictions

    Jun Zhang;Chao Chen;Yang Xiang;Wanlei Zhou

  • Achieving Secure and Efficient Dynamic Searchable Symmetric Encryption over Medical Cloud Data

    Hongwei Li;Yi Yang;Yuanshun Dai;Shui Yu

  • A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data

    Najmeh Samadiani;Guangyan Huang;Borui Cai;Wei Luo

  • Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

    Mumtaz Ali;Ramendra Prasad;Yong Xiang;Zaher Mundher Yaseen

  • A Smart-Contract-Based Access Control Framework for Cloud Smart Healthcare System

    Akanksha Saini;Qingyi Zhu;Navneet Singh;Yong Xiang

  • Robust Histogram Shape-Based Method for Image Watermarking

    Tianrui Zong;Yong Xiang;Iynkaran Natgunanathan;Song Guo

  • Blind source-separation using second-order cyclostationary statistics

    K. Abed-Meraim;Yong Xiang;J.H. Manton;Yingbo Hua

  • Time-Frequency Approach to Underdetermined Blind Source Separation

    Shengli Xie;Liu Yang;Jun-Mei Yang;Guoxu Zhou

  • Privacy-Preserving Reputation Management for Edge Computing Enhanced Mobile Crowdsensing

    Lichuan Ma;Xuefeng Liu;Qingqi Pei;Yong Xiang

  • Energy Minimization in Multi-Task Software-Defined Sensor Networks

    Deze Zeng;Peng Li;Song Guo;Toshiaki Miyazaki

Frequent Co-Authors

Shui Yu
Shui Yu University of Technology Sydney
Yushu Zhang
Yushu Zhang Nanjing University of Aeronautics and Astronautics
Wanlei Zhou
Wanlei Zhou City University of Macau
Yue Rong
Yue Rong Curtin University
Song Guo
Song Guo Hong Kong University of Science and Technology
Longxiang Gao
Longxiang Gao Deakin University
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Yingbo Hua
Yingbo Hua University of California, Riverside
Lu-Xing Yang
Lu-Xing Yang Deakin University
Tianqing Zhu
Tianqing Zhu Deakin University

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