World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
63
Citations
17295
World Ranking
1736
National Ranking
27

Francis E. H. Tay publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Francis E. H. Tay sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 290 publications — 74th percentile

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

The last bar groups every scientist with 804 publications or more.

Francis E. H. Tay D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Francis E. H. Tay sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 63 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Francis E. H. Tay is affiliated with the National University of Singapore in Singapore. Their research spans multiple fields of study, including Engineering, Materials Science, and Computer Science, with a focus on subfields such as Materials Chemistry, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, and Electrical and Electronic Engineering.

Their work addresses several scientific topics, including:

  • Ferroelectric and Piezoelectric Materials
  • Acoustic Wave Resonator Technologies
  • Domain Adaptation and Few-Shot Learning
  • Electronic and Structural Properties of Oxides
  • Microwave Dielectric Ceramics Synthesis
  • Industrial Vision Systems and Defect Detection
  • Multimodal Machine Learning Applications

Francis E. H. Tay's recent publications include:

  • "Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet" (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet" (2021), published on arXiv (Cornell University)
  • "First-Principle Study on Correlate Structural, Electronic and Optical Properties of Ce-Doped BaTiO3" (2023), published in Crystals
  • "Masked Autoencoders for Point Cloud Self-supervised Learning" (2022), published on arXiv (Cornell University)
  • "Learnable Central Similarity Quantization for Efficient Image and Video Retrieval" (2023), published in IEEE Transactions on Neural Networks and Learning Systems

Frequent co-authors of Francis E. H. Tay include:

  • Haojie Yue
  • Kun Guo
  • Kailing Fang
  • Kui Yao
  • Bing Xie

Their research is often published in venues such as:

  • arXiv (Cornell University)
  • Crystals
  • Ceramics International
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • Barrier Lyapunov Functions for the control of output-constrained nonlinear systems

    Keng Peng Tee;Shuzhi Sam Ge;Eng Hock Tay

  • Application of support vector machines in financial time series forecasting

    Francis E.H Tay;Lijuan Cao

  • Support vector machine with adaptive parameters in financial time series forecasting

    L.J. Cao;F.E.H. Tay

  • Modified support vector machines in financial time series forecasting

    Francis Eng Hock Tay;Lijuan Cao

  • Financial Forecasting Using Support Vector Machines

    Lijuan Cao;Francis Eng Hock Tay

  • Revisiting Knowledge Distillation via Label Smoothing Regularization

    Li Yuan;Francis Eh Tay;Guilin Li;Tao Wang

  • A wearable system for pre-impact fall detection

    M.N. Nyan;Francis E.H. Tay;E. Murugasu

  • Economic and financial prediction using rough sets model

    Francis Eng Hock Tay;Lixiang Shen

  • Fault diagnosis using Rough Sets Theory

    Lixiang Shen;Francis E. H. Tay;Liangsheng Qu;Yudi Shen

  • Characterization of masking layers for deep wet etching of glass in an improved HF/HCl solution

    Ciprian Iliescu;Ji Jing;Francis E.H. Tay;Jianmin Miao

  • Nonlinear dielectric thin films for high-power electric storage with energy density comparable with electrochemical supercapacitors

    Kui Yao;Shuting Chen;M. Rahimabady;M. S. Mirshekarloo

  • An intelligent skin based self-powered finger motion sensor integrated with triboelectric nanogenerator

    Lokesh Dhakar;Prakash Pitchappa;Francis Eng Hock Tay;Chengkuo Lee

  • Role of Silver Ions in Destabilization of Intermolecular Adhesion Forces Measured by Atomic Force Microscopy in Staphylococcus epidermidis Biofilms

    K. C. Chaw;M. Manimaran;Francis E. H. Tay

  • A modified Chi2 algorithm for discretization

    F.E.H. Tay;Lixiang Shen

  • Adaptive Control of Electrostatic Microactuators With Bidirectional Drive

    Keng Peng Tee;S.S. Ge;F. Eng Hock Tay

  • Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

    Li Yuan;Yunpeng Chen;Tao Wang;Weihao Yu

  • A new energy harvester design for high power output at low frequencies

    Lokesh Dhakar;Huicong Liu;F.E.H. Tay;Chengkuo Lee

  • Fault diagnosis based on Rough Set Theory

    Francis E.H. Tay;Lixiang Shen

  • Ferroelectric poly(vinylidene fluoride) thin films on Si substrate with the β phase promoted by hydrated magnesium nitrate

    Shuting Chen;Kui Yao;Francis Eng Hock Tay;Chung Lee Liow

  • Classification of gait patterns in the time-frequency domain

    M.N. Nyan;F.E.H. Tay;K.H.W. Seah;Y.Y. Sitoh

  • A novel micro-machining method for the fabrication of thick-film SU-8 embedded micro-channels

    Francis E H Tay;J A van Kan;F Watt;W O Choong

Frequent Co-Authors

Ciprian Iliescu
Ciprian Iliescu National institute for Research and Development in Microtechnologies INCD IMT
Kui Yao
Kui Yao Agency for Science, Technology and Research
Jianmin Miao
Jianmin Miao Shanghai Jiao Tong University
Chengkuo Lee
Chengkuo Lee National University of Singapore
Yung C. Liang
Yung C. Liang National University of Singapore
Xiaodi Su
Xiaodi Su Agency for Science, Technology and Research
Jiashi Feng
Jiashi Feng ByteDance
Xue Li
Xue Li Chinese Academy of Agricultural Sciences
Shabbir Moochhala
Shabbir Moochhala National University of Singapore
Kaiyang Zeng
Kaiyang Zeng National University of Singapore

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