World's Best Scientists 2026 revealed!
Elizabeth Chang

Elizabeth Chang

Award Badge
Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
17346
World Ranking
3568
National Ranking
106

Elizabeth Chang 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 Elizabeth Chang 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: 723 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Elizabeth Chang 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 Elizabeth Chang 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2015 - IEEE Fellow For contributions to industrial informatics and cyber physical systems

Overview

Elizabeth Chang is affiliated with Griffith University in Australia. Their research primarily focuses on computer science, with significant contributions to information systems, computer networks and communications, molecular biology, artificial intelligence, and management science and operations research.

The scientist's work covers a range of topics including network security and intrusion detection, supply chain resilience and risk management, multi-criteria decision making, advanced malware detection techniques, risk and safety analysis, software engineering research, and semantic web and ontologies.

Frequent co-authors in their research include Paul Reynolds, Dan Stevens, Peter A. Lewin, T. S. Bigelow, and Jessica Liu Strohmann.

Elizabeth Chang has published extensively in several venues. Notable publication venues featuring their work are IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, bioRxiv (Cold Spring Harbor Laboratory), ACM Computing Surveys, Scientometrics, and the INCOSE International Symposium.

Recent papers include:

  • Provenance-based Intrusion Detection Systems: A Survey, 2022, ACM Computing Surveys
  • Achieving security scalability and flexibility using Fog-Based Context-Aware Access Control, 2020, Future Generation Computer Systems
  • Venetoclax and pegcrisantaspase for complex karyotype acute myeloid leukemia, 2020, Leukemia
  • A survey on the suitability of risk identification techniques in the current networked environment, 2021, Journal of Network and Computer Applications
  • Enhancing the analysis of online product reviews to support product improvement: integrating text mining with quality function deployment, 2022, Journal of Enterprise Information Management

Elizabeth Chang has also contributed to book publications, with titles such as "Intelligent Information Processing X" published by Springer Science+Business Media in 2020 and "Britain's Chinese Eye" published by Stanford University Press eBooks in 2020.

Among professional recognitions, Elizabeth Chang was named an IEEE Fellow in 2015 for contributions to industrial informatics and cyber physical systems.

Best Publications

  • Cloud Computing: Issues and Challenges

    Tharam Dillon;Chen Wu;Elizabeth Chang

  • A survey of digital image watermarking techniques

    V.M. Potdar;S. Han;E. Chang

  • Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm

    Kit Yan Chan;T. S. Dillon;J. Singh;E. Chang

  • Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence

    Elizabeth Chang;Farookh Hussain;Tharam Dillon

  • Conceptual SLA framework for cloud computing

    Mohammed Alhamad;Tharam Dillon;Elizabeth Chang

  • Wireless Sensor Networks: A Survey

    Vidyasagar Potdar;Atif Sharif;Elizabeth Chang

  • ZBWM: The Z-number extension of Best Worst Method and its application for supplier development

    Hamed Aboutorab;Morteza Saberi;Mehdi Rajabi Asadabadi;Omar Khadeer Hussain

  • Cloud service selection

    Le Sun;Hai Dong;Farookh Khadeer Hussain;Omar Khadeer Hussain

  • Digital Ecosystems: Principles and Semantics

    H. Boley;E. Chang

  • SLA-Based Trust Model for Cloud Computing

    Mohammed Alhamad;Tharam Dillon;Elizabeth Chang

  • Are MCDM methods useful? A critical review of Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP)

    Mehdi Rajabi Asadabadi;Elizabeth Chang;Morteza Saberi

  • DIGITAL ECOSYSTEMS A NEXT GENERATION OF THE COLLABORATIVE ENVIRONMENT

    Elizabeth Chang;Martin West

  • Prosumer Communities and Relationships in Smart Grids: A Literature Review, Evolution and Future Directions

    Eunice Espe;Vidyasagar Potdar;Elizabeth Chang

  • Fuzzy trust evaluation and credibility development in multi-agent systems

    Stefan Schmidt;Robert Steele;Tharam S. Dillon;Elizabeth Chang

  • Introduction to Multi-Agent Systems

    Maja Hadzic;Pornpit Wongthongtham;Tharam Dillon;Elizabeth Chang

  • The pudding of trust [intelligent systems]

    B. Bhargava;L. Lilien;A. Rosenthal;M. Winslett

  • An MCDM method for cloud service selection using a Markov chain and the best-worst method

    Falak Nawaz;Mehdi Rajabi Asadabadi;Naeem Khalid Janjua;Omar Khadeer Hussain

  • Development of a Software Engineering Ontology for Multisite Software Development

    P. Wongthongtham;E. Chang;T. Dillon;I. Sommerville

  • Grey level modification steganography for secret communication

    V.M. Potdar;E. Chang

  • A semantic network-based design methodology for XML documents

    Ling Feng;Elizabeth Chang;Tharam Dillon

Frequent Co-Authors

Tharam S. Dillon
Tharam S. Dillon La Trobe University
Farookh Khadeer Hussain
Farookh Khadeer Hussain University of Technology Sydney
Omar Khadeer Hussain
Omar Khadeer Hussain University of New South Wales
Wenny Rahayu
Wenny Rahayu La Trobe University
Robert Meersman
Robert Meersman Graz University of Technology
Ernesto Damiani
Ernesto Damiani Khalifa University
Ali Azadeh
Ali Azadeh University of Tehran
Dianhui Wang
Dianhui Wang La Trobe University
Ian Sommerville
Ian Sommerville University of St Andrews
Kit Yan Chan
Kit Yan Chan Curtin University

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