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Elizabeth Chang

Elizabeth Chang

Griffith University
Australia

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Computer Science
Australia
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 58 3568 3467 106 105 723 17346

Elizabeth Chang publications per year

The chart shows the history of publications by Elizabeth Chang between 1971 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Elizabeth Chang published across 55 years, from 1971 to 2025, averaging 14.6 papers a year. Output peaked at 103 publications in 2005. 22 of the 804 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 1971 to 2025. Vertical axis: number of publications, 0 to 103. Peak 103 publications in 2005. 1971: 1 publication 1972: 0 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 3 publications 1995: 1 publication 1996: 2 publications 1997: 2 publications 1998: 4 publications 1999: 5 publications 2000: 3 publications 2001: 6 publications 2002: 10 publications 2003: 18 publications 2004: 37 publications 2005: 103 publications 2006: 93 publications 2007: 97 publications 2008: 65 publications 2009: 50 publications 2010: 25 publications 2011: 27 publications 2012: 18 publications 2013: 26 publications 2014: 12 publications 2015: 24 publications 2016: 13 publications 2017: 36 publications 2018: 37 publications 2019: 15 publications 2020: 14 publications 2021: 7 publications 2022: 9 publications 2023: 18 publications 2024: 11 publications 2025: 11 publications
1971 2025

804 publications in total across all disciplines

View publications per year as a table
Elizabeth Chang: publications per year, 1971 to 2025
Year Publications
1971 1
1972 0
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 1
1994 3
1995 1
1996 2
1997 2
1998 4
1999 5
2000 3
2001 6
2002 10
2003 18
2004 37
2005 103
2006 93
2007 97
2008 65
2009 50
2010 25
2011 27
2012 18
2013 26
2014 12
2015 24
2016 13
2017 36
2018 37
2019 15
2020 14
2021 7
2022 9
2023 18
2024 11
2025 11
Total 804
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 722–731 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19 723
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 58–59 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400 58
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

External Links

Personal website of Elizabeth Chang Google Scholar page

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Best Scientists Citing Elizabeth Chang

Tharam S. Dillon

Tharam S. Dillon

La Trobe University

Publications: 81

Farookh Khadeer Hussain

Farookh Khadeer Hussain

University of Technology Sydney

Publications: 54

Wenny Rahayu

Wenny Rahayu

La Trobe University

Publications: 46

Omar Khadeer Hussain

Omar Khadeer Hussain

University of New South Wales

Publications: 44

David Taniar

David Taniar

Monash University

Publications: 36

Makoto Takizawa

Makoto Takizawa

Hosei University

Publications: 18

Tomoya Enokido

Tomoya Enokido

Rissho University

Publications: 16

Cheng-Chi Lee

Cheng-Chi Lee

Fu Jen Catholic University

Publications: 14

Robert J. C. Steele

Robert J. C. Steele

University of Dundee

Publications: 14

Zongmin Ma

Zongmin Ma

Nanjing University of Aeronautics and Astronautics

Publications: 13

Huchang Liao

Huchang Liao

Sichuan University

Publications: 12

Francisco José García-Peñalvo

Francisco José García-Peñalvo

University of Salamanca

Publications: 12

Stefan W. Glunz

Stefan W. Glunz

Fraunhofer Institute for Solar Energy Systems

Publications: 11

Ajeet Rohatgi

Ajeet Rohatgi

Georgia Institute of Technology

Publications: 11

Ian Horrocks

Ian Horrocks

University of Oxford

Publications: 11

Bing Liu

Bing Liu

University of Illinois at Chicago

Publications: 11

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