World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
8741
World Ranking
8716
National Ranking
75

Chu-Song 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 Chu-Song 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: 205 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Chu-Song 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 Chu-Song 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: 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

Chu-Song Chen is affiliated with National Taiwan University in Taiwan and has produced research spanning computer science and medicine. Their work encompasses diverse fields, with a notable concentration in computer vision, artificial intelligence, and surgical applications.

Among recent publications, several papers stand out for their range of topics and venues:

  • Domain Invariant Vision Transformer Learning for Face Anti-spoofing, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • SemanticHash: Hash Coding Via Semantics-Guided Label Prototype Learning, 2021, IEEE Transactions on Artificial Intelligence
  • Learning Binary Hash Codes Based on Adaptable Label Representations, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Cauda equina syndrome caused by the application of DuraSealTM in a microlaminectomy surgery: A case report, 2022, World Journal of Clinical Cases
  • Artistic Style Novel View Synthesis Based on A Single Image, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Frequent collaborators in Chu-Song Chen's work include Jun-Cheng Chen, Kuei-Lin Yeh, Chiou-Shann Fuh, Yao-Chih Lee, and Min-Chun Hu. These partnerships indicate sustained research relationships reflected in multiple co-authored publications.

The scientist's frequent publication venues reveal a strong presence in both conference proceedings and journals:

  • arXiv (Cornell University)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • IEEE Transactions on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems
  • World Journal of Clinical Cases

Chu-Song Chen's research areas emphasize interdisciplinary approaches. Main fields of study include:

  • Computer Science
  • Medicine

Within these broader domains, specific subfields of study are:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Surgery
  • Signal Processing
  • Pulmonary and Respiratory Medicine

Key topics addressed in their work cover a range of advanced techniques and applications:

  • Advanced Vision and Imaging
  • Adversarial Robustness in Machine Learning
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Natural Language Processing Techniques
  • Speech Recognition and Synthesis

Best Publications

  • Deep learning of binary hash codes for fast image retrieval

    Kevin Lin;Huei-Fang Yang;Jen-Hao Hsiao;Chu-Song Chen

  • RANSAC-based DARCES: a new approach to fast automatic registration of partially overlapping range images

    Chu-Song Chen;Yi-Ping Hung;Jen-Bo Cheng

  • Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval

    Bor-Chun Chen;Chu-Song Chen;Winston H. Hsu

  • Multiple Kernel Fuzzy Clustering

    Hsin-Chien Huang;Yung-Yu Chuang;Chu-Song Chen

  • Ordinal hyperplanes ranker with cost sensitivities for age estimation

    Kuang-Yu Chang;Chu-Song Chen;Yi-Ping Hung

  • Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks

    Kevin Lin;Jiwen Lu;Chu-Song Chen;Jie Zhou

  • Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks

    Huei-Fang Yang;Kevin Lin;Chu-Song Chen

  • Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset

    Bor-Chun Chen;Chu-Song Chen;Winston H. Hsu

  • Affinity aggregation for spectral clustering

    Hsin-Chien Huang;Yung-Yu Chuang;Chu-Song Chen

  • Moving cast shadow detection using physics-based features

    Jia-Bin Huang;Chu-Song Chen

  • Range data acquisition using color structured lighting and stereo vision

    Chu-Song Chen;Yi-Ping Hung;Chiann-Chu Chiang;Ja-Ling Wu

  • Efficient hierarchical method for background subtraction

    Yu-Ting Chen;Chu-Song Chen;Chun-Rong Huang;Yi-Ping Hung

  • Fast Human Detection Using a Novel Boosted Cascading Structure With Meta Stages

    Yu-Ting Chen;Chu-Song Chen

  • A Ranking Approach for Human Ages Estimation Based on Face Images

    Kuang-Yu Chang;Chu-Song Chen;Yi-Ping Hung

  • Fast algorithm for robust template matching with M-estimators

    Jiun-Hung Chen;Chu-Song Chen;Yong-Sheng Chen

  • A Learning Framework for Age Rank Estimation Based on Face Images With Scattering Transform

    Kuang-Yu Chang;Chu-Song Chen

  • A fast automatic method for registration of partially-overlapping range images

    Chu-Song Chen;Yi-Ping Hung;Jen-Bo Cheng

  • Fighting Phishing with Discriminative Keypoint Features

    Kuan-Ta Chen;Jau-Yuan Chen;Chun-Rong Huang;Chu-Song Chen

  • Contrast context histogram-An efficient discriminating local descriptor for object recognition and image matching

    Chun-Rong Huang;Chu-Song Chen;Pau-Choo Chung

  • Compacting, Picking and Growing for Unforgetting Continual Learning

    Steven C. Y. Hung;Cheng-Hao Tu;Cheng-En Wu;Chien-Hung Chen

Frequent Co-Authors

Yi-Ping Hung
Yi-Ping Hung National Taiwan University
Ja-Ling Wu
Ja-Ling Wu National Taiwan University
Ming-Syan Chen
Ming-Syan Chen National Taiwan University
Pau-Choo Chung
Pau-Choo Chung National Cheng Kung University
Yung-Yu Chuang
Yung-Yu Chuang National Taiwan University
Yen-Yu Lin
Yen-Yu Lin National Yang Ming Chiao Tung University
Jia-Bin Huang
Jia-Bin Huang University of Maryland, College Park
Yu-Chiang Frank Wang
Yu-Chiang Frank Wang National Taiwan University
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Hsin-Min Wang
Hsin-Min Wang Academia Sinica

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