World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5627
World Ranking
10778
National Ranking
326

Chang-Tsun Li 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 Chang-Tsun Li 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: 240 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Chang-Tsun Li 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 Chang-Tsun Li 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Chang-Tsun Li is affiliated with Deakin University in Australia and has a strong background in computer science, with a particular focus on computer vision and pattern recognition, artificial intelligence, signal processing, information systems, and law. Their research spans a number of interdisciplinary areas that intersect technology and societal aspects.

Their recent publications demonstrate involvement in advanced topics related to image processing, tracking, and security. Notable papers include:

  • "Improving Face-Based Age Estimation With Attention-Based Dynamic Patch Fusion," 2022, IEEE Transactions on Image Processing
  • "On the detection-to-track association for online multi-object tracking," 2021, Pattern Recognition Letters
  • "Self-Supervised Leaf Segmentation under Complex Lighting Conditions," 2022, Pattern Recognition
  • "Defining Security Requirements With the Common Criteria: Applications, Adoptions, and Challenges," 2022, IEEE Access
  • "Robust and Fair Undersea Target Detection with Automated Underwater Vehicles for Biodiversity Data Collection," 2022, Remote Sensing

Chang-Tsun Li has collaborated frequently with several researchers, including Yongjian Hu, Víctor Sánchez, Richard Jiang, Manisha Manisha, and A. K. Karunakar. These collaborations contribute to a broad range of studies within the fields of computer vision and security.

Key publication venues where their work appears most commonly include:

  • arXiv (Cornell University)
  • IEEE Access
  • Pattern Recognition
  • SSRN Electronic Journal
  • Pattern Recognition Letters

The scholar has also contributed to book publications through Springer International Publishing, notably:

  • Big Data Privacy and Security in Smart Cities, 2022
  • Deep Biometrics, 2020

Their research covers a broad spectrum of topics such as digital media forensic detection, generative adversarial networks and image synthesis, advanced steganography and watermarking techniques, anomaly detection techniques and applications, face recognition and analysis, law in society and culture, and biometric identification and security.

Best Publications

  • Source Camera Identification Using Enhanced Sensor Pattern Noise

    Chang-Tsun Li

  • Trademark image retrieval using synthetic features for describing global shape and interior structure

    Chia-Hung Wei;Yue Li;Wing-Yin Chau;Chang-Tsun Li

  • Multi-task mid-level feature alignment network for unsupervised cross-dataset person re-identification

    Shan Lin;Haoliang Li;Chang Tsun Li;Alex Chichung Kot

  • Weighted Level Set Evolution Based on Local Edge Features for Medical Image Segmentation

    Alaa Khadidos;Victor Sanchez;Chang-Tsun Li

  • Video Anomaly Detection With Compact Feature Sets for Online Performance

    Roberto Leyva;Victor Sanchez;Chang-Tsun Li

  • Color-Decoupled Photo Response Non-Uniformity for Digital Image Forensics

    Chang-Tsun Li;Yue Li

  • On Reducing the Effect of Covariate Factors in Gait Recognition: A Classifier Ensemble Method

    Yu Guan;Chang-Tsun Li;Fabio Roli

  • A Contrast-Sensitive Reversible Visible Image Watermarking Technique

    Ying Yang;Xingming Sun;Hengfu Yang;Chang-Tsun Li

  • Digital fragile watermarking scheme for authentication of JPEG images

    C.-T. Li

  • Semi-fragile watermarking scheme for authentication of JPEG images

    Chi Kin Ho;Chang-Tsun Li

  • Multi-Domain Adversarial Feature Generalization for Person Re-Identification

    Shan Lin;Chang-Tsun Li;Alex C. Kot

  • A class of discrete multiresolution random fields and its application to image segmentation

    R. Wilson;Chang-Tsun Li

  • Preprocessing Reference Sensor Pattern Noise via Spectrum Equalization

    Xufeng Lin;Chang-Tsun Li

  • Matrix Factorization With Rating Completion: An Enhanced SVD Model for Collaborative Filtering Recommender Systems

    Xin Guan;Chang-Tsun Li;Yu Guan

  • Image authentication and integrity verification via content-based watermarks and a public key cryptosystem

    Chang-Tsun Li;Der-Chyuan Lou;Tsung-Hsu Chen

  • A robust speed-invariant gait recognition system for walker and runner identification

    Yu Guan;Chang-Tsun Li

  • A Content-Based Approach to Medical Image Database Retrieval.

    Chia-Hung Wei;Chang-Tsun Li;Roland Wilson

  • Unsupervised classification of digital images using enhanced sensor pattern noise

    Chang-Tsun Li

  • One-dimensional neighborhood forming strategy for fragile watermarking

    Chang Tsun Li;Fong Man Yang

  • Removable visible image watermarking algorithm in the discrete cosine transform domain

    Ying Yang;Xingming Sun;Hengfu Yang;Chang Tsun Li

  • A general framework for content-based medical image retrieval with its application to mammograms

    Chia Hung Wei;Chang Tsun Li;Roland Wilson

Frequent Co-Authors

Ahmed Bouridane
Ahmed Bouridane University of Sharjah
Anderson Rocha
Anderson Rocha State University of Campinas
Alex C. Kot
Alex C. Kot Nanyang Technological University
Xingming Sun
Xingming Sun Nanjing University of Information Science and Technology
Alan Wee-Chung Liew
Alan Wee-Chung Liew Griffith University
Asoke K. Nandi
Asoke K. Nandi Brunel University London
Massimo Tistarelli
Massimo Tistarelli University of Sassari
Stefan Katzenbeisser
Stefan Katzenbeisser University of Passau
Fabio Roli
Fabio Roli University of Genoa
Jana Dittmann
Jana Dittmann Otto-von-Guericke University Magdeburg

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