World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5773
World Ranking
9833
National Ranking
126

Joo-Hwee Lim 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 Joo-Hwee Lim 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: 320 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Joo-Hwee Lim 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 Joo-Hwee Lim 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Joo-Hwee Lim is affiliated with the Agency for Science, Technology and Research in Singapore. Their research primarily spans the fields of Computer Science and Engineering, with a focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Industrial and Manufacturing Engineering, and Civil and Structural Engineering.

The scientist's work covers a range of topics including Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques, Human Pose and Action Recognition, Domain Adaptation and Few-Shot Learning, Video Analysis and Summarization, Image Processing and 3D Reconstruction, and Image Retrieval and Classification Techniques.

Recent publications by Joo-Hwee Lim include:

  • A novel hybrid approach for crack detection, 2020, Pattern Recognition
  • Semantically consistent text to fashion image synthesis with an enhanced attentional generative adversarial network, 2020, Pattern Recognition Letters
  • Enhancing Representation Learning With Spatial Transformation and Early Convolution for Reinforcement Learning-Based Small Object Detection, 2023, IEEE Transactions on Circuits and Systems for Video Technology
  • Learning by Imagination: A Joint Framework for Text-Based Image Manipulation and Change Captioning, 2022, IEEE Transactions on Multimedia
  • Entropy guided attention network for weakly-supervised action localization, 2022, Pattern Recognition

Frequent coauthors who have collaborated with Joo-Hwee Lim include:

  • Qianli Xu
  • Fen Fang
  • Hanwang Zhang
  • Ying Sun
  • Liyuan Li

The scientist's work has appeared prominently in venues such as arXiv (Cornell University), IEEE Transactions on Multimedia, Proceedings of the AAAI Conference on Artificial Intelligence, Pattern Recognition, and IEEE Transactions on Circuits and Systems for Video Technology.

Best Publications

  • Level-set based automatic cup-to-disc ratio determination using retinal fundus images in ARGALI

    D. W. K. Wong;J. Liu;J.H. Lim;X. Jia

  • Automatic Optic Disc Detection From Retinal Images by a Line Operator

    Shijian Lu;Joo Hwee Lim

  • A novel hybrid approach for crack detection

    Fen Fang;Liyuan Li;Ying Gu;Hongyuan Zhu

  • Home photo content modeling for personalized event-based retrieval

    Joo-Hwee Lim;Qi Tian;P. Mulhem

  • Learning Attribute Representations with Localization for Flexible Fashion Search

    Kenan E. Ak;Ashraf A. Kassim;Joo Hwee Lim;Jo Yew Tham

  • Insertion of additional content into video

    Wan Kong Wah;Xu Changsheng;Lim Joo Hwee;Yu Xinguo

  • Summarization of Egocentric Videos: A Comprehensive Survey

    Ana Garcia del Molino;Cheston Tan;Joo-Hwee Lim;Ah-Hwee Tan

  • DehazeGAN: When Image Dehazing Meets Differential Programming

    Hongyuan Zhu;Xi Peng;Vijay Chandrasekhar;Liyuan Li

  • Learning Deep Hierarchical Visual Feature Coding

    Hanlin Goh;Nicolas Thome;Matthieu Cord;Joo-Hwee Lim

  • Scene text extraction based on edges and support vector regression

    Shijian Lu;Tao Chen;Shangxuan Tian;Joo-Hwee Lim

  • Automated Layer Segmentation of Optical Coherence Tomography Images

    Shijian Lu;Carol Yim-lui Cheung;Jiang Liu;Joo Hwee Lim

  • Method and system for event detection in a video stream

    Changsheng Xu;Kongwah Wan;Yiqun Li;Qi Tian

  • Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks

    Mengmi Zhang;Keng Teck Ma;Joo Hwee Lim;Qi Zhao

  • Latent semantic fusion model for image retrieval and annotation

    Unknown

  • Automated detection of kinks from blood vessels for optic cup segmentation in retinal images

    D. W. K. Wong;J. Liu;J. H. Lim;Haizhou Li

  • A Computer-Aided Diagnosis System of Nuclear Cataract

    Huiqi Li;Joo Hwee Lim;Jiang Liu;Paul Mitchell

  • ARGALI: An Automatic Cup-to-Disc Ratio Measurement System for Glaucoma Analysis Using Level-set Image Processing

    J. Liu;D. W. K. Wong;J. H. Lim;H. Li

  • Automatic video event detection and indexing

    Joo Hwee Lim;Changsheng Xu;Kong Wah Wan;Qi Tian

  • Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition

    Sibo Song;Vijay Chandrasekhar;Bappaditya Mandal;Liyuan Li

  • Combining Faster R-CNN and Model-Driven Clustering for Elongated Object Detection

    Fen Fang;Liyuan Li;Hongyuan Zhu;Joo-Hwee Lim

  • Similarity Learning for Nearest Neighbor Classification

    A.M. Qamar;E. Gaussier;J.-P. Chevallet;Joo Hwee Lim

  • Robust and Efficient Saliency Modeling from Image Co-Occurrence Histograms

    Shijian Lu;Cheston Tan;Joo-Hwee Lim

  • Attribute Manipulation Generative Adversarial Networks for Fashion Images

    Kenan Ak;Ashraf Kassim;Joo-Hwee Lim;Jo Yew Tham

  • Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective

    Hongyuan Zhu;Xi Peng;Joey Tianyi Zhou;Songfan Yang

  • Optic cup and disk extraction from retinal fundus images for determination of cup-to-disc ratio

    J. Liu;D.W.K. Wong;J.H. Lim;X. Jia

Frequent Co-Authors

Jiang Liu
Jiang Liu Southern University of Science and Technology
Tien Yin Wong
Tien Yin Wong Tsinghua University
Shijian Lu
Shijian Lu Nanyang Technological University
Damon Wing Kee Wong
Damon Wing Kee Wong Nanyang Technological University
Sim Heng Ong
Sim Heng Ong National University of Singapore
Jiashi Feng
Jiashi Feng ByteDance
Qi Tian
Qi Tian Huawei Technologies (China)
Haizhou Li
Haizhou Li Chinese University of Hong Kong, Shenzhen
Ah-Hwee Tan
Ah-Hwee Tan Singapore Management University
Ashraf A. Kassim
Ashraf A. Kassim National University of Singapore

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