World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
10067
World Ranking
5355
National Ranking
716

Edmund Y. Lam 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 Edmund Y. Lam 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: 417 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Edmund Y. Lam 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 Edmund Y. Lam 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: 51 D-Index — 63rd percentile

63% 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

  • 2013 - OSA Fellows For significant and sustained contributions to computational optics and imaging, in particular the development of image reconstruction algorithms for various applications.
  • 2013 - SPIE Fellow

Overview

Edmund Y. Lam is affiliated with the University of Hong Kong in China. Their research spans multiple fields, primarily focusing on computer science, engineering, and physics and astronomy. Within these fields, their work often concentrates on subfields such as computer vision and pattern recognition, media technology, atomic and molecular physics and optics, biophysics, and electrical and electronic engineering.

The scientist's main research topics cover a variety of advanced imaging and processing techniques. These include digital holography and microscopy, advanced image processing techniques, image processing techniques and applications, advanced vision and imaging, advanced X-ray imaging techniques, cell image analysis techniques, and random lasers and scattering media.

Edmund Y. Lam has authored numerous papers published in various academic venues. Some of their recent publications are:

  • On the use of deep learning for phase recovery, 2024, Light Science & Applications
  • Phase-controlled metasurface design via optimized genetic algorithm, 2020, Nanophotonics
  • Microplastic pollution monitoring with holographic classification and deep learning, 2021, Journal of Physics Photonics
  • Digital holographic imaging and classification of microplastics using deep transfer learning, 2020, Applied Optics
  • Enhancing image resolution of confocal fluorescence microscopy with deep learning, 2023, PhotoniX

Throughout their career, Edmund Y. Lam has frequently collaborated with several co-authors. Frequent collaborators include Chutian Wang, Shuo Zhu, Ge Zhou, Yanmin Zhu, and Yaping Zhao.

The scientist has published extensively in a variety of venues, often appearing in:

  • arXiv (Cornell University)
  • Optics Express
  • IEEE Access
  • Optics Letters
  • IEEE Transactions on Image Processing

Edmund Y. Lam has been recognized as a fellow by leading societies in optics and photonics. They were awarded the SPIE Fellow distinction in 2013, and also became an OSA Fellow in the same year for contributions to computational optics and imaging, particularly regarding image reconstruction algorithms applied in various domains.

Best Publications

  • A mathematical analysis of the DCT coefficient distributions for images

    E.Y. Lam;J.W. Goodman

  • Learning-based nonparametric autofocusing for digital holography

    Zhenbo Ren;Zhimin Xu;Edmund Y. Lam

  • A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video

    Michael K. Ng;Huanfeng Shen;Huanfeng Shen;Edmund Y. Lam;Liangpei Zhang

  • Combining gray world and retinex theory for automatic white balance in digital photography

    E.Y. Lam

  • Performance optimization for gridded-layout standard cells

    Jun Wang;Alfred K. K. Wong;Edmund Yin-Mun Lam

  • Mobile-Phone Antenna Design

    C. Rowell;E. Y. Lam

  • End-to-end deep learning framework for digital holographic reconstruction

    Zhenbo Ren;Zhimin Xu;Edmund Y. M. Lam

  • Automatic source camera identification using the intrinsic lens radial distortion.

    Kai San Choi;Edmund Y Lam;Kenneth K Y Wong

  • Ultrafast laser-scanning time-stretch imaging at visible wavelengths.

    Jiang-Lai Wu;Yi-Qing Xu;Jing-Jiang Xu;Xiao-Ming Wei

  • Super-resolution reconstruction in a computational compound-eye imaging system

    Wai-San Chan;Edmund Y. Lam;Michael K. Ng;Giuseppe Y. Mak

  • Rectangular contact lithography for circuit performance improvement

    Edmund Y Lam;Jun Wang;Alfred K K Wong

  • Source camera identification using footprints from lens aberration

    Kai San Choi;Edmund Y. Lam;Kenneth K. Y. Wong

  • Extending the Depth of Field in a Compound-Eye Imaging System with Super-Resolution Reconstruction

    Wai-San Chan;E.Y. Lam;M.K. Ng

  • Investigation of Computational Compound-Eye Imaging System With Super-Resolution Reconstruction

    Wai-San Chan;E.Y. Lam;M.K. Ng

  • High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

    Nan Meng;Hayden K.-H. So;Xing Sun;Edmund Y. Lam

  • Computational photography with plenoptic camera and light field capture: tutorial.

    Edmund Y Lam

  • Iterative statistical approach to blind image deconvolution

    Edmund Y. Lam;Joseph W. Goodman

  • Asymmetric-detection time-stretch optical microscopy (ATOM) for ultrafast high-contrast cellular imaging in flow

    Terence T. W. Wong;Andy K. S. Lau;Kenneth K. Y. Ho;Matthew Y. H. Tang

  • Standard cell design with resolution-enhancement-technique-driven regularly placed contacts and gates

    Jun Wang;Alfred K. K. Wong;Edmund Yin-Mun Lam

  • Deep learning for digital holography: a review.

    Tianjiao Zeng;Yanmin Zhu;Edmund Y. Lam

  • Pixelated source mask optimization for process robustness in optical lithography

    Ningning Jia;Edmund Y. Lam

  • Three-dimensional microscopy and sectional image reconstruction using optical scanning holography

    Edmund Y. Lam;Xin Zhang;Huy Vo;Ting-Chung Poon

  • Machine learning for inverse lithography: using stochastic gradient descent for robust photomask synthesis

    Ningning Jia;Edmund Y Lam

  • Reconstruction of sectional images in holography using inverse imaging

    Xin Zhang;Edmund Y. Lam;Ting-Chung Poon

Frequent Co-Authors

Kenneth K. Y. Wong
Kenneth K. Y. Wong University of Hong Kong
Kevin K. Tsia
Kevin K. Tsia University of Hong Kong
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Byoungho Lee
Byoungho Lee Seoul National University
Joseph W. Goodman
Joseph W. Goodman Stanford University
Ho Cheung Shum
Ho Cheung Shum University of Hong Kong
Jianzhuang Liu
Jianzhuang Liu Shenzhen Institutes of Advanced Technology
Bing-Zhong Wang
Bing-Zhong Wang University of Electronic Science and Technology of China
Victor X. D. Yang
Victor X. D. Yang Sunnybrook Health Science Centre
Guohai Situ
Guohai Situ Chinese Academy of Sciences

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