World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6368
World Ranking
10683
National Ranking
94

Shih-Chia Huang 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 Shih-Chia Huang 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: 184 publications — 40th percentile

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

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

Shih-Chia Huang 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 Shih-Chia Huang 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

Shih-Chia Huang is affiliated with the National Taipei University of Technology in Taiwan and specializes in computer science, with a primary focus on computer vision and pattern recognition. Their research encompasses various subfields including artificial intelligence, signal processing, industrial and manufacturing engineering, and computational mechanics.

Their scholarly contributions cover a range of topics such as advanced neural network applications, machine learning and data classification, anomaly detection techniques and applications, generative adversarial networks and image synthesis, image enhancement techniques, human pose and action recognition, and image processing and 3D reconstruction.

Huang's recent papers include:

  • Self-Adaptive Feature Transformation Networks for Object Detection in low luminance Images, 2022, ACM Transactions on Intelligent Systems and Technology
  • Introduction to the Minitrack on Social Robots - Robotics and Toy Computing, 2021, Proceedings of the Annual Hawaii International Conference on System Sciences
  • SFG-Net: an Efficient Image to Image Translation Approach for Synthetic Fog Generation, 2022, 2022 IEEE International Conference on Consumer Electronics - Taiwan
  • On the Effectiveness of Incremental Training of Large Language Models, 2024, arXiv (Cornell University)
  • Training Dynamics of a 1.7B LLaMa Model: A Data-Efficient Approach, 2024, arXiv (Cornell University)

Frequent coauthors collaborating with Huang include:

  • Trung-Hieu Le
  • Patrick C. K. Hung
  • Sarajane Marques Peres
  • Miles Q. Li
  • Benjamin C. M. Fung

Huang's work has been published in venues such as:

  • Proceedings of the Annual Hawaii International Conference on System Sciences
  • arXiv (Cornell University)
  • ACM Transactions on Intelligent Systems and Technology
  • 2022 IEEE International Conference on Consumer Electronics - Taiwan
  • SSRN Electronic Journal

Best Publications

  • Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution

    Shih-Chia Huang;Fan-Chieh Cheng;Yi-Sheng Chiu

  • DesnowNet: Context-Aware Deep Network for Snow Removal

    Y-Fu. Liu;D-Wei. Jaw;S-Chia. Huang;J-Neng. Hwang

  • An Advanced Motion Detection Algorithm With Video Quality Analysis for Video Surveillance Systems

    Shih-Chia Huang

  • Visibility Restoration of Single Hazy Images Captured in Real-World Weather Conditions

    Shih-Chia Huang;Bo-Hao Chen;Wei-Jheng Wang

  • DSNet: Joint Semantic Learning for Object Detection in Inclement Weather Conditions

    Shih-Chia Huang;Trung-Hieu Le;Da-Wei Jaw

  • An Efficient Visibility Enhancement Algorithm for Road Scenes Captured by Intelligent Transportation Systems

    Shih-Chia Huang;Bo-Hao Chen;Yi-Jui Cheng

  • Unobtrusive Activity Recognition of Elderly People Living Alone Using Anonymous Binary Sensors and DCNN

    Munkhjargal Gochoo;Tan-Hsu Tan;Shing-Hong Liu;Fu-Rong Jean

  • A Genetic-Algorithm-Based Approach to Solve Carpool Service Problems in Cloud Computing

    Shih-Chia Huang;Ming-Kai Jiau;Chih-Hsiang Lin

  • Image contrast enhancement for preserving mean brightness without losing image features

    Shih-Chia Huang;Chien-Hui Yeh

  • Illumination-Sensitive Background Modeling Approach for Accurate Moving Object Detection

    Fan-Chieh Cheng;Shih-Chia Huang;Shanq-Jang Ruan

  • An Advanced Single-Image Visibility Restoration Algorithm for Real-World Hazy Scenes

    Shih-Chia Huang;Jian-Hui Ye;Bo-Hao Chen

  • Efficient contrast enhancement using adaptive gamma correction and cumulative intensity distribution

    Yi-Sheng Chiu;Fan-Chieh Cheng;Shih-Chia Huang

  • Novel IoT-Based Privacy-Preserving Yoga Posture Recognition System Using Low-Resolution Infrared Sensors and Deep Learning

    Munkhjargal Gochoo;Tan-Hsu Tan;Shih-Chia Huang;Tsedevdorj Batjargal

  • Multimedia Services in Cloud-Based Vehicular Networks

    Ming-Kai Jiau;Shih-Chia Huang;Jenq-Neng Hwang;Athanasios V. Vasilakos

  • Underwater Fish Tracking for Moving Cameras Based on Deformable Multiple Kernels

    Meng-Che Chuang;Jenq-Neng Hwang;Jian-Hui Ye;Shih-Chia Huang

  • An Advanced Moving Object Detection Algorithm for Automatic Traffic Monitoring in Real-World Limited Bandwidth Networks

    Bo-Hao Chen;Shih-Chia Huang

  • Highly Accurate Moving Object Detection in Variable Bit Rate Video-Based Traffic Monitoring Systems

    Shih-Chia Huang;Bo-Hao Chen

  • DesnowGAN: An Efficient Single Image Snow Removal Framework Using Cross-Resolution Lateral Connection and GANs

    Da-Wei Jaw;Shih-Chia Huang;Sy-Yen Kuo

  • Efficient Histogram Modification Using Bilateral Bezier Curve for the Contrast Enhancement

    Fan-Chieh Cheng;Shih-Chia Huang

  • Radial Basis Function Based Neural Network for Motion Detection in Dynamic Scenes

    Shih-Chia Huang;Ben-Hsiang Do

  • Multi-Resident Activity Recognition in a Smart Home Using RGB Activity Image and DCNN

    Tan-Hsu Tan;Munkhjargal Gochoo;Shih-Chia Huang;Yi-Hung Liu

  • Scene Analysis for Object Detection in Advanced Surveillance Systems Using Laplacian Distribution Model

    Fan-Chieh Cheng;Shih-Chia Huang;Shanq-Jang Ruan

Frequent Co-Authors

Sy-Yen Kuo
Sy-Yen Kuo National Taiwan University
Patrick C. K. Hung
Patrick C. K. Hung University of Ontario Institute of Technology
Jenq-Neng Hwang
Jenq-Neng Hwang University of Washington
Benjamin C. M. Fung
Benjamin C. M. Fung McGill University
Haluk Demirkan
Haluk Demirkan University of Washington
Meikang Qiu
Meikang Qiu Augusta University
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
William W. L. Cheung
William W. L. Cheung University of British Columbia

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