World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6497
World Ranking
8902
National Ranking
273

Changming Sun 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 Changming Sun 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Changming Sun 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 Changming Sun 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Changming Sun is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia, contributing extensively to the fields of computer science and engineering. Their research primarily focuses on computer vision and pattern recognition, with additional work in artificial intelligence, aerospace engineering, media technology, and molecular biology.

Sun's work covers a range of topics within advanced image and video retrieval techniques, neural network applications, robotics and sensor-based localization, AI in cancer detection, domain adaptation and few-shot learning, as well as advanced vision and image processing techniques.

Frequent publication venues for Sun include:

  • arXiv (Cornell University)
  • Pattern Recognition
  • Expert Systems with Applications
  • SSRN Electronic Journal
  • IEEE Transactions on Image Processing

Among the coauthors frequently collaborating with Sun are:

  • Weichuan Zhang
  • Ran Su
  • Leyi Wei
  • Arcot Sowmya
  • Qiangguo Jin

Selected recent publications provide insight into Sun's research directions and areas of expertise:

  • RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans, 2020, Frontiers in Bioengineering and Biotechnology
  • Recent advances on image edge detection: A comprehensive review, 2022, Neurocomputing
  • Cascade knowledge diffusion network for skin lesion diagnosis and segmentation, 2020, Applied Soft Computing
  • Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images, 2021, Expert Systems with Applications
  • Free-form tumor synthesis in computed tomography images via richer generative adversarial network, 2021, Knowledge-Based Systems

These works demonstrate a notable engagement with medical imaging, neural networks, and domain adaptation models applied to practical diagnostic problems. The research also intersects with advanced learning methodologies in medical contexts, such as cancer detection and COVID-19 infection segmentation.

Best Publications

  • RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans

    Qiangguo Jin;Zhaopeng Meng;Changming Sun;Leyi Wei

  • Crowdsourcing the creation of image segmentation algorithms for connectomics

    Ignacio Arganda-Carreras;Srinivas C. Turaga;Daniel R. Berger;Dan Cireşan

  • Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques

    Changming Sun

  • 3D symmetry detection using the extended Gaussian image

    Changming Sun;J. Sherrah

  • Splitting touching cells based on concave points and ellipse fitting

    Xiangzhi Bai;Changming Sun;Fugen Zhou

  • An End-to-End TextSpotter with Explicit Alignment and Attention

    Tong He;Zhi Tian;Weilin Huang;Chunhua Shen

  • Knowledge Adaptation for Efficient Semantic Segmentation

    Tong He;Chunhua Shen;Zhi Tian;Dong Gong

  • Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge

    Sylvia Rueda;Sana Fathima;Caroline L. Knight;Mohammad Yaqub

  • Knowledge-based method for segmentation and analysis of lung boundaries in chest X-ray images

    Matthew S. Brown;Laurence S. Wilson;Bruce D. Doust;Robert W. Gill

  • A Fast Stereo Matching Method

    Changming Sun

  • Fast linear feature detection using multiple directional non-maximum suppression.

    C. Sun;P. Vallotton

  • Skew and slant correction for document images using gradient direction

    Changming Sun;Deyi Si

  • Circular shortest path in images

    Changming Sun;Stefano Pallottino

  • Cascade knowledge diffusion network for skin lesion diagnosis and segmentation

    Qiangguo Jin;Qiangguo Jin;Hui Cui;Changming Sun;Zhaopeng Meng;Zhaopeng Meng

  • Symmetry detection using gradient information

    Changming Sun

  • Automated analysis of neurite branching in cultured cortical neurons using HCA-Vision.

    Pascal Vallotton;Ryan Lagerstrom;Changming Sun;Michael Buckley

  • RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans

    Qiangguo Jin;Qiangguo Jin;Zhaopeng Meng;Zhaopeng Meng;Changming Sun;Hui Cui

  • Fast Reflectional Symmetry Detection Using Orientation Histograms

    C. Sun;D. Si

  • Fast optical flow using 3D shortest path techniques

    Changming Sun

  • Iterative infrared ship target segmentation based on multiple features

    Zhaoying Liu;Zhaoying Liu;Fugen Zhou;Xiaowu Chen;Xiangzhi Bai

  • Digital Image Computing: Techniques and Applications

    Changming Sun;Hugues Talbot;Sebastien Ourselin;Tony Adriaansen

Frequent Co-Authors

Tuan D. Pham
Tuan D. Pham Queen Mary University of London
Ran Su
Ran Su Tianjin University
Michael Blumenstein
Michael Blumenstein University of Technology Sydney
Chunhua Shen
Chunhua Shen Zhejiang University
Robert T. Furbank
Robert T. Furbank Australian National University
Michael Buckley
Michael Buckley University of Manchester
Leyi Wei
Leyi Wei Shandong University
David E. James
David E. James University of Sydney
Xiaobo Zhou
Xiaobo Zhou The University of Texas Health Science Center at Houston
Michael Fenech
Michael Fenech University of South Australia

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