World's Best Scientists 2026 revealed!
Evangeline F. Y. Young

Evangeline F. Y. Young

D-Index & Metrics

Computer Science

D-Index
34
Citations
4023
World Ranking
12285
National Ranking
1515

Evangeline F. Y. Young 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 Evangeline F. Y. Young 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: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Evangeline F. Y. Young 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 Evangeline F. Y. Young 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Evangeline F. Y. Young is affiliated with the Chinese University of Hong Kong in China and has an extensive publication record in the fields of Computer Science and Engineering. Their research activity spans multiple subfields including Electrical and Electronic Engineering, Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Artificial Intelligence.

The scientist's main research topics cover a range of specialized areas such as:

  • VLSI and FPGA Design Techniques
  • VLSI and Analog Circuit Testing
  • Advancements in Photolithography Techniques
  • Integrated Circuits and Semiconductor Failure Analysis
  • Interconnection Networks and Systems
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Low-power high-performance VLSI design

Their recent notable papers include:

  • Neural-ILT 2.0: Migrating ILT to Domain-Specific and Multitask-Enabled Neural Network, 2021, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Xplace, 2022, Proceedings of the 59th ACM/IEEE Design Automation Conference
  • Adversarial Perturbation Attacks on ML-based CAD, 2020, ACM Transactions on Design Automation of Electronic Systems
  • Pin-Accessible Legalization for Mixed-Cell-Height Circuits, 2021, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • GAMER: GPU-Accelerated Maze Routing, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

The publication venues where Evangeline F. Y. Young frequently contributes include:

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • arXiv (Cornell University)
  • Proceedings of the 59th ACM/IEEE Design Automation Conference
  • ACM Transactions on Design Automation of Electronic Systems
  • Science China Information Sciences

Frequent co-authors working alongside the scientist are:

  • Jinwei Liu
  • Martin D. F. Wong
  • Bentian Jiang
  • Shiju Lin
  • Tsung-Yi Ho

Best Publications

  • Layout Hotspot Detection With Feature Tensor Generation and Deep Biased Learning

    Haoyu Yang;Jing Su;Yi Zou;Yuzhe Ma

  • GAN-OPC: Mask Optimization With Lithography-Guided Generative Adversarial Nets

    Haoyu Yang;Shuhe Li;Zihao Deng;Yuzhe Ma

  • Layout Hotspot Detection with Feature Tensor Generation and Deep Biased Learning

    Haoyu Yang;Jing Su;Yi Zou;Bei Yu

  • Twin binary sequences: a nonredundant representation for general nonslicing floorplan

    E.F.Y. Young;C.C.N. Chu;Z.C. Shen

  • An efficient layout decomposition approach for triple patterning lithography

    Jian Kuang;Evangeline F. Y. Young

  • Fast and Accurate Estimation of Quality of Results in High-Level Synthesis with Machine Learning

    Steve Dai;Yuan Zhou;Hang Zhang;Ecenur Ustun

  • Enabling online learning in lithography hotspot detection with information-theoretic feature optimization

    Hang Zhang;Bei Yu;Evangeline F. Y. Young

  • Integrated floorplanning and interconnect planning

    Hung-Ming Chen;Hai Zhou;F. Y. YOung;D. F. Wong

  • Routability-driven floorplanner with buffer block planning

    Chiu-Wing Sham;E.F.Y. Young

  • Simultaneous Handling of Symmetry, Common Centroid, and General Placement Constraints

    Qiang Ma;Linfu Xiao;Yiu-Cheong Tam;E F Y Young

  • Slicing floorplans with boundary constraints

    F.Y. Young;D.F. Wong;H.H. Yang

  • Ripple: an effective routability-driven placer by iterative cell movement

    Xu He;Tao Huang;Linfu Xiao;Haitong Tian

  • CUGR: Detailed-Routability-Driven 3D Global Routing with Probabilistic Resource Model

    Jinwei Liu;Chak-Wa Pui;Fangzhou Wang;Evangeline F. Y. Young

  • GAN-OPC: mask optimization with lithography-guided generative adversarial nets

    Haoyu Yang;Shuhe Li;Yuzhe Ma;Bei Yu

  • Analog placement with symmetry and other placement constraints

    Yiu-Cheong Tam;Evangeline F. Y. Young;Chris Chu

  • Placement constraints in floorplan design

    E.F.Y. Young;C.C.N. Chu;M.L. Ho

  • Slicing floorplans with pre-placed modules

    F. Y. Young;D. F. Wong

  • Slicing floorplans with range constraint

    F.Y. Young;D.F. Wong;H.H. Yang

  • Post-placement voltage island generation

    Royce L. S. Ching;Evangeline F. Y. Young;Kevin C. K. Leung;Chris Chu

  • Analog placement with common centroid constraints

    Qiang Ma;Evangeline F. Y. Young;K. P. Pun

  • Cell density-driven detailed placement with displacement constraint

    Wing-Kai Chow;Jian Kuang;Xu He;Wenzan Cai

  • CrossRouter: a droplet router for cross-referencing digital microfluidic biochips

    Zigang Xiao;Evangeline F. Y. Young

  • Obstacle-avoiding rectilinear Steiner tree construction

    Liang Li;Evangeline F. Y. Young

  • RippleFPGA: a routability-driven placement for large-scale heterogeneous FPGAs

    Chak-Wa Pui;Gengjie Chen;Wing-Kai Chow;Ka-Chun Lam

Frequent Co-Authors

Bei Yu
Bei Yu Chinese University of Hong Kong
Chris Chu
Chris Chu Iowa State University
Chung-Kuan Cheng
Chung-Kuan Cheng University of California, San Diego
Ron Graham
Ron Graham University of California, San Diego
Ozgur Sinanoglu
Ozgur Sinanoglu New York University Abu Dhabi
Ramesh Karri
Ramesh Karri New York University
Cheng-Kok Koh
Cheng-Kok Koh Purdue University West Lafayette
Philip H. W. Leong
Philip H. W. Leong University of Sydney
Sherief Reda
Sherief Reda Brown University
Daniel M. Kane
Daniel M. Kane University of California, San Diego

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education options in Computer Science can open doors for students with diverse backgrounds and needs. Many prospective learners search for the cheapest online colleges to keep their education affordable. This is especially important for those balancing work, family, or other commitments.

Flexibility also extends to admissions requirements. If your academic record isn't perfect, you can still pursue your passion at a college with low gpa admission requirements. These institutions offer accessible pathways for those seeking a second chance or a fresh start.

Online programs often include accelerated computer science degree options. Accelerated tracks help motivated learners finish their degree faster and enter the workforce sooner.

With a strong foundation in computer science, many graduates wonder about potential careers. While computer science offers broad opportunities, you might also be curious about opportunities in other disciplines, such as discovering what can you do with an environmental science major. Exploring related degrees and career pathways can help you find the best fit for your interests and goals.

Best Scientists Citing Evangeline F. Y. Young

Trending Scientists

Recently Published Articles