World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
6492
World Ranking
11557
National Ranking
349

Jin Song Dong 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 Jin Song Dong 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: 245 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Jin Song Dong 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 Jin Song Dong 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Jin Song Dong is affiliated with Griffith University in Australia and specializes in Computer Science with a research focus across several subfields including Artificial Intelligence, Information Systems, Signal Processing, Software, and Computer Vision and Pattern Recognition.

The scientist's work covers multiple main topics, including:

  • Adversarial Robustness in Machine Learning
  • Advanced Malware Detection Techniques
  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Explainable Artificial Intelligence (XAI)
  • Anomaly Detection Techniques and Applications
  • Formal Methods in Verification

Jin Song Dong has published extensively, with frequent publication venues that include:

  • arXiv (Cornell University)
  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Transactions on Software Engineering
  • Proceedings of the ACM on Programming Languages
  • Proceedings of the ACM on Software Engineering

Their recent papers include:

  • "Early Clinical and CT Manifestations of Coronavirus Disease 2019 (COVID-19) Pneumonia," 2020, published in American Journal of Roentgenology
  • "Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective," 2022, published in IEEE Transactions on Dependable and Secure Computing
  • "A Framework to Predict High-Resolution Spatiotemporal PM2.5 Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China," 2020, published in Remote Sensing
  • "DGL-KE: Training Knowledge Graph Embeddings at Scale," 2020, published in arXiv (Cornell University)
  • "Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling," 2021, published in IEEE Transactions on Software Engineering

The scientist has collaborated frequently with other researchers including Zhé Hóu, Jun Sun, Yun Lin, Guangdong Bai, and Hadrien Bride.

Best Publications

  • PAT: Towards Flexible Verification under Fairness

    Jun Sun;Yang Liu;Jin Song Dong;Jun Pang

  • Semantic Space: an infrastructure for smart spaces

    X. Wang;J.S. Dong;C.Y. Chin;S.R. Hettiarachchi

  • Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues

    Pardeep Kumar;Yun Lin;Guangdong Bai;Andrew Paverd

  • Model Checking CSP Revisited: Introducing a Process Analysis Toolkit

    Jun Sun;Yang Liu;Jin Song Dong

  • Genetic algorithm: Theory, literature review, and application in image reconstruction

    Seyedali Mirjalili;Jin Song Dong;Jin Song Dong;Ali Safa Sadiq;Hossam Faris

  • Blending Object-Z and Timed CSP: an introduction to TCOZ

    Unknown

  • Integrating Specification and Programs for System Modeling and Verification

    Jun Sun;Yang Liu;Jin Song Dong;Chunqing Chen

  • Nature-Inspired Optimizers: Theories, Literature Reviews and Applications

    Seyedali Mirjalili;Jin Song Dong;Andrew Lewis

  • White-box fairness testing through adversarial sampling

    Peixin Zhang;Jingyi Wang;Jun Sun;Guoliang Dong

  • Binary Harris Hawks Optimizer for High-Dimensional, Low Sample Size Feature Selection

    Thaer Thaher;Ali Asghar Heidari;Majdi Mafarja;Jin Song Dong

  • PAT 3: An Extensible Architecture for Building Multi-domain Model Checkers

    Yang Liu;Jun Sun;Jin Song Dong

  • Modeling and verifying hierarchical real-time systems using stateful timed CSP

    Jun Sun;Yang Liu;Jin Song Dong;Yan Liu

  • Timed Automata Patterns

    Jin Song Dong;Ping Hao;Shengchao Qin;Jun Sun

  • Verification of computation orchestration via timed automata

    Jin Song Dong;Yang Liu;Jun Sun;Xian Zhang

  • Multi-Objective Optimization using Artificial Intelligence Techniques

    Seyedali Mirjalili;Jin Song Dong

  • Timed patterns: TCOZ to timed automata

    Jin Song Dong;Ping Hao;Sheng Chao Qin;Jun Sun

  • A Formal Semantics for Complete UML State Machines with Communications

    Shuang Liu;Yang Liu;Étienne André;Christine Choppy

  • Particle Swarm Optimization: Theory, Literature Review, and Application in Airfoil Design

    Seyedali Mirjalili;Jin Song Dong;Jin Song Dong;Andrew Lewis;Ali Safa Sadiq

  • Specifying and Verifying Event-Based Fairness Enhanced Systems

    Jun Sun;Yang Liu;Jin Song Dong;Hai H. Wang

  • Design synthesis from interaction and state-based specifications

    J. Sun;J.S. Dong

  • Verifying Stateful Timed CSP Using Implicit Clocks and Zone Abstraction

    Jun Sun;Yang Liu;Jin Song Dong;Xian Zhang

  • A formal framework for modeling and validating Simulink diagrams

    Chunqing Chen;Jin Song Dong;Jun Sun

  • Formal Analysis of a Proof-of-Stake Blockchain

    Wai Yan Maung Maung Thin;Naipeng Dong;Guangdong Bai;Jin Song Dong

Frequent Co-Authors

Jun Sun
Jun Sun Singapore Management University
Zhenkai Liang
Zhenkai Liang National University of Singapore
Ivan Beschastnikh
Ivan Beschastnikh University of British Columbia
Majdi M. Mafarja
Majdi M. Mafarja Birzeit University
David S. Rosenblum
David S. Rosenblum George Mason University
Gordon Fraser
Gordon Fraser University of Passau
Sebastian Elbaum
Sebastian Elbaum University of Virginia
Ali Asghar Heidari
Ali Asghar Heidari National University of Singapore
Hossam Faris
Hossam Faris University of Jordan
Seyedali Mirjalili
Seyedali Mirjalili Torrens University Australia

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