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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
61
Citations
15254
World Ranking
3065
National Ranking
85

Tsong Yueh Chen 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 Tsong Yueh Chen 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: 362 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Tsong Yueh Chen 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 Tsong Yueh Chen 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: 61 D-Index — 79th percentile

79% 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

Overview

Tsong Yueh Chen is affiliated with Swinburne University of Technology in Australia and has contributed extensively to the field of computer science, focusing primarily on software testing and related areas. Their research encompasses a variety of subfields including software, artificial intelligence, information systems, computer networks and communications, as well as hardware and architecture.

The main topics addressed in their work include software testing and debugging techniques, software reliability and analysis research, and software engineering research. Additional topics of interest include software system performance and reliability, adversarial robustness in machine learning, VLSI and analog circuit testing, and advanced malware detection techniques.

Chen has published numerous papers across frequent venues such as Swinburne Research Bank (Swinburne University of Technology), arXiv (Cornell University), Information and Software Technology, ACM Transactions on Software Engineering and Methodology, and IEEE Transactions on Reliability.

Recent papers include:

  • Metamorphic Testing: A New Approach for Generating Next Test Cases, 2020, arXiv (Cornell University)
  • Metamorphic testing and testing with special values, 2024, Swinburne Research Bank (Swinburne University of Technology)
  • A Declarative Metamorphic Testing Framework for Autonomous Driving, 2022, IEEE Transactions on Software Engineering
  • Theoretical and Empirical Analyses of the Effectiveness of Metamorphic Relation Composition, 2020, IEEE Transactions on Software Engineering
  • On test case distributions of adaptive random testing, 2024, Swinburne Research Bank (Swinburne University of Technology)

Frequent coauthors collaborating with Chen include Huai Liu, Zhi Quan Zhou, Dave Towey, Zheng Zheng, and Pak-Lok Poon.

Best Publications

  • An orchestrated survey of methodologies for automated software test case generation

    Saswat Anand;Edmund K. Burke;Tsong Yueh Chen;John Clark

  • Adaptive random testing

    T. Y. Chen;H. Leung;I. K. Mak

  • Metamorphic Testing: A Review of Challenges and Opportunities

    Tsong Yueh Chen;Fei-Ching Kuo;Huai Liu;Pak-Lok Poon

  • Adaptive Random Testing: The ART of test case diversity

    Tsong Yueh Chen;Fei-Ching Kuo;Robert G. Merkel;T. H. Tse

  • A theoretical analysis of the risk evaluation formulas for spectrum-based fault localization

    Xiaoyuan Xie;Tsong Yueh Chen;Fei-Ching Kuo;Baowen Xu

  • Testing and validating machine learning classifiers by metamorphic testing

    Xiaoyuan Xie;Joshua W. K. Ho;Christian Murphy;Gail Kaiser

  • Metamorphic Testing: A New Approach for Generating Next Test Cases.

    Tsong Yueh Chen;S. C. Cheung;Siu-Ming Yiu

  • A new heuristic for test suite reduction

    Tsong Yueh Chen;Man Fai Lau

  • How Effectively Does Metamorphic Testing Alleviate the Oracle Problem

    Huai Liu;Fei-Ching Kuo;Dave Towey;Tsong Yueh Chen

  • Fault-based testing without the need of oracles

    Tsong Y. Chen;Tsun H. Tse;Zhiquan Zhou

  • In black and white: an integrated approach to class-level testing of object-oriented programs

    Huo Yan Chen;T. H. Tse;F. T. Chan;T. Y. Chen

  • TACCLE: a methodology for object-oriented software testing at the class and cluster levels

    Huo Yan Chen;T. H. Tse;T. Y. Chen

  • Dividing strategies for the optimization of a test suite

    Tsong Yueh Chen;Man Fai Lau

  • Proportional sampling strategy: guidelines for software testing practitioners☆

    F. T. Chan;Tsong Yueh Chen;I. K. Mak;Yuen-Tak Yu

  • Proportional sampling strategy: a compendium and some insights

    T. Y. Chen;T. H. Tse;Y. T. Yu

  • A preliminary survey on software testing practices in Australia

    S.P. Ng;T. Murnane;K. Reed;D. Grant

  • An innovative approach for testing bioinformatics programs using metamorphic testing

    Tsong Yueh Chen;Joshua Wing Kei Ho;Joshua Wing Kei Ho;Huai Liu;Xiaoyuan Xie

  • On the expected number of failures detected by subdomain testing and random testing

    T.Y. Chen;Y.T. Yu

  • On the relationship between partition and random testing

    T.Y. Chen;Y.T. Yu

  • Metamorphic Testing for Software Quality Assessment: A Study of Search Engines

    Zhi Quan Zhou;Shaowen Xiang;Tsong Yueh Chen

  • Metamorphic testing of programs on partial differential equations: a case study

    T.Y. Chen;Jianqiang Feng;T.H. Tse

Frequent Co-Authors

T. H. Tse
T. H. Tse University of Hong Kong
Baowen Xu
Baowen Xu Nanjing University
Felix T.S. Chan
Felix T.S. Chan Macau University of Science and Technology
W. Eric Wong
W. Eric Wong The University of Texas at Dallas
W. K. Chan
W. K. Chan City University of Hong Kong
Mark Harman
Mark Harman University College London
Shin Yoo
Shin Yoo Korea Advanced Institute of Science and Technology
Gail E. Kaiser
Gail E. Kaiser Columbia University
Victor R. Basili
Victor R. Basili University of Maryland, College Park
Shing-Chi Cheung
Shing-Chi Cheung Hong Kong University of Science and Technology

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