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Computer Science
Singapore
2026

D-Index & Metrics

Computer Science

D-Index
118
Citations
82452
World Ranking
156
National Ranking
6

Chen Change Loy publications per year

2006: 1 publications 2007: 2 publications 2008: 2 publications 2009: 7 publications 2010: 3 publications 2011: 2 publications 2012: 6 publications 2013: 7 publications 2014: 14 publications 2015: 16 publications 2016: 23 publications 2017: 18 publications 2018: 26 publications 2019: 27 publications 2020: 22 publications 2021: 30 publications 2022: 71 publications 2023: 98 publications 2024: 68 publications 2025: 44 publications
2006 2025

487 publications in total across all disciplines

Chen Change Loy publication distribution in Computer Science in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2027. The highlighted bar marks where Chen Change Loy 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: 300 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Chen Change Loy D-index placement in Computer Science in 2027

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2027. The highlighted bar marks where Chen Change Loy 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: 118 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in Singapore Leader Award
  • 2025 - Research.com Computer Science in Singapore Leader Award
  • 2023 - Research.com Computer Science in Singapore Leader Award
  • 2022 - Research.com Computer Science in Singapore Leader Award

Overview

Chen Change Loy is affiliated with Nanyang Technological University in Singapore and specializes in computer science with a strong focus on computer vision and pattern recognition. Their research portfolio encompasses several subfields including artificial intelligence, computational mechanics, media technology, and computer graphics and computer-aided design.

Their work spans multiple main topics of research such as generative adversarial networks and image synthesis, advanced image processing techniques, advanced vision and imaging, advanced neural network applications, domain adaptation and few-shot learning, multimodal machine learning applications, and human pose and action recognition.

Chen Change Loy has frequently published in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence

Notable recent papers authored by or involving Chen Change Loy include:

  • Learning to Prompt for Vision-Language Models, 2022, International Journal of Computer Vision
  • Conditional Prompt Learning for Vision-Language Models, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Domain Generalization: A Survey, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • MMDetection: Open MMLab Detection Toolbox and Benchmark, 2024, arXiv (Cornell University)
  • Low-Light Image and Video Enhancement Using Deep Learning: A Survey, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

The scientist's frequent coauthors include:

  • Ziwei Liu
  • Shangchen Zhou
  • Chongyi Li
  • Wayne Wu
  • Ruicheng Feng

Chen Change Loy has contributed extensively to the computer vision and pattern recognition communities, as reflected in their prolific publication record and collaborations. Their interdisciplinary interests bridge core topics in artificial intelligence with applications in image synthesis, neural network design, and multimodal learning techniques.

Best Publications

  • Image Super-Resolution Using Deep Convolutional Networks

    Chao Dong;Chen Change Loy;Kaiming He;Xiaoou Tang

  • Learning a Deep Convolutional Network for Image Super-Resolution

    Chao Dong;Chen Change Loy;Kaiming He;Xiaoou Tang

  • ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

    Xintao Wang;Ke Yu;Shixiang Wu;Jinjin Gu

  • Accelerating the Super-Resolution Convolutional Neural Network

    Chao Dong;Chen Change Loy;Xiaoou Tang

  • Learning to Prompt for Vision-Language Models

    Unknown

  • Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

    Chunle Guo;Chongyi Li;Jichang Guo;Chen Change Loy

  • WIDER FACE: A Face Detection Benchmark

    Shuo Yang;Ping Luo;Chen Change Loy;Xiaoou Tang

  • Conditional Prompt Learning for Vision-Language Models

    Unknown

  • Facial Landmark Detection by Deep Multi-task Learning

    Zhanpeng Zhang;Ping Luo;Chen Change Loy;Xiaoou Tang

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • Hybrid Task Cascade for Instance Segmentation

    Kai Chen;Wanli Ouyang;Chen Change Loy;Dahua Lin

  • Domain Generalization: A Survey

    Unknown

  • ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

    Xintao Wang;Ke Yu;Shixiang Wu;Jinjin Gu

  • PSANet: Point-wise Spatial Attention Network for Scene Parsing

    Hengshuang Zhao;Yi Zhang;Shu Liu;Jianping Shi

  • EDVR: Video Restoration With Enhanced Deformable Convolutional Networks

    Xintao Wang;Kelvin C.K. Chan;Ke Yu;Chao Dong

  • Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform

    Xintao Wang;Ke Yu;Chao Dong;Chen Change Loy

  • Learning Deep Representation for Imbalanced Classification

    Chen Huang;Yining Li;Chen Change Loy;Xiaoou Tang

  • Learning a Unified Classifier Incrementally via Rebalancing

    Saihui Hou;Xinyu Pan;Chen Change Loy;Zilei Wang

  • A large-scale car dataset for fine-grained categorization and verification

    Linjie Yang;Ping Luo;Chen Change Loy;Xiaoou Tang

  • Compression Artifacts Reduction by a Deep Convolutional Network

    Chao Dong;Yubin Deng;Chen Change Loy;Xiaoou Tang

  • MMDetection: Open MMLab Detection Toolbox and Benchmark.

    Kai Chen;Jiaqi Wang;Jiangmiao Pang;Yuhang Cao

  • Semantic Image Segmentation via Deep Parsing Network

    Ziwei Liu;Xiaoxiao Li;Ping Luo;Chen-Change Loy

  • Feature mining for localised crowd counting

    Ke Chen;Chen Change Loy;Shaogang Gong;Tony Xiang

Frequent Co-Authors

Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Ping Luo
Ping Luo University of Hong Kong
Dahua Lin
Dahua Lin Chinese University of Hong Kong
Shaogang Gong
Shaogang Gong Queen Mary University of London
Ziwei Liu
Ziwei Liu Nanyang Technological University
Chao Dong
Chao Dong Shenzhen Institutes of Advanced Technology
Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab
Xintao Wang
Xintao Wang Chinese University of Hong Kong
Jianping Shi
Jianping Shi SenseTime

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