World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
5686
World Ranking
7410
National Ranking
1340

Tsung-Yi Ho 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 Tsung-Yi Ho 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: 322 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Tsung-Yi Ho 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 Tsung-Yi Ho 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: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Tsung-Yi Ho is affiliated with the Chinese University of Hong Kong in China and has made contributions primarily in the fields of engineering and computer science. Their scholarly work spans multiple subfields including electrical and electronic engineering, biomedical engineering, artificial intelligence, computer vision and pattern recognition, and hardware and architecture.

Ho's research topics cover a diverse array of subjects. Key areas include electrowetting and microfluidic technologies, microfluidic and capillary electrophoresis applications, innovative microfluidic and catalytic techniques innovation, adversarial robustness in machine learning, microfluidic and bio-sensing technologies, VLSI and FPGA design techniques, and modular robots and swarm intelligence.

Frequent collaborators in Ho's research efforts include Pin-Yu Chen, Bei Yu, Xing Huang, Yiyu Shi, and Ulf Schlichtmann. These co-authors have contributed to multiple publications reflecting ongoing research partnerships.

The scientist has published extensively in respected venues. The top publication outlets include arXiv (Cornell University), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Design Automation of Electronic Systems, Proceedings of the AAAI Conference on Artificial Intelligence, and Proceedings of the 59th ACM/IEEE Design Automation Conference.

Significant recent papers authored or co-authored by Ho include:

  • "Robust Adversarial Objects against Deep Learning Models" (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • "Drug screening on digital microfluidics for cancer precision medicine" (2024, Nature Communications)
  • "Functionality matters in netlist representation learning" (2022, Proceedings of the 59th ACM/IEEE Design Automation Conference)
  • "Predicting the fluid behavior of random microfluidic mixers using convolutional neural networks" (2020, Lab on a Chip)
  • "Computer-aided Design Techniques for Flow-based Microfluidic Lab-on-a-chip Systems" (2021, ACM Computing Surveys)

Best Publications

  • Error Recovery in Cyberphysical Digital Microfluidic Biochips

    Yan Luo;K. Chakrabarty;Tsung-Yi Ho

  • CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples.

    Honggang Yu;Kaichen Yang;Teng Zhang;Yun-Yun Tsai

  • Robust Adversarial Objects against Deep Learning Models

    Tzungyu Tsai;Kaichen Yang;Tsung-Yi Ho;Yier Jin

  • A fast routability- and performance-driven droplet routing algorithm for digital microfluidic biochips

    Tsung-Wei Huang;Tsung-Yi Ho

  • Digital microfluidic biochips: a vision for functional diversity and more than Moore

    Tsung-Yi Ho;Jun Zeng;Krishnendu Chakrabarty

  • A Reagent-Saving Mixing Algorithm for Preparing Multiple-Target Biochemical Samples Using Digital Microfluidics

    Yi-Ling Hsieh;Tsung-Yi Ho;K. Chakrabarty

  • Testing of Flow-Based Microfluidic Biochips: Fault Modeling, Test Generation, and Experimental Demonstration

    Kai Hu;Feiqiao Yu;Tsung-Yi Ho;Krishnendu Chakrabarty

  • Digital microfluidic biochips: recent research and emerging challenges

    Tsung-Yi Ho;Krishnendu Chakrabarty;Paul Pop

  • Exact One-pass Synthesis of Digital Microfluidic Biochips

    Oliver Keszocze;Robert Wille;Tsung-Yi Ho;Rolf Drechsler

  • A Fast Crosstalk- and Performance-Driven Multilevel Routing System

    Tsung-Yi Ho;Yao-Wen Chang;Sao-Jie Chen;D. T. Lee

  • A cyberphysical synthesis approach for error recovery in digital microfluidic biochips

    Yan Luo;Krishnendu Chakrabarty;Tsung-Yi Ho

  • High-level synthesis for micro-electrode-dot-array digital microfluidic biochips

    Zipeng Li;Kelvin Yi-Tse Lai;Po-Hsien Yu;Tsung-Yi Ho

  • A Reliability-Oriented Placement Algorithm for Reconfigurable Digital Microfluidic Biochips Using 3-D Deferred Decision Making Technique

    Ying-Han Chen;Chung-Lun Hsu;Li-Chen Tsai;Tsung-Wei Huang

  • Control synthesis for the flow-based microfluidic large-scale integration biochips

    W. H. Minhass;P. Pop;J. Madsen;Tsung-Yi Ho

  • A top-down synthesis methodology for flow-based microfluidic biochips considering valve-switching minimization

    Kai-Han Tseng;Sheng-Chi You;Jhe-Yu Liou;Tsung-Yi Ho

  • A Contamination Aware Droplet Routing Algorithm for the Synthesis of Digital Microfluidic Biochips

    Tsung-Wei Huang;Chun-Hsien Lin;Tsung-Yi Ho

  • Crosstalk- and performance-driven multilevel full-chip routing

    Tsung-Yi Ho;Yao-Wen Chang;Sao-Jie Chen;Der-Tsai Lee

  • Leveraging Strategic Detection Techniques for Smart Home Pricing Cyberattacks

    Yang Liu;Shiyan Hu;Tsung-Yi Ho

  • Multilevel routing with antenna avoidance

    Tsung-Yi Ho;Yao-Wen Chang;Sao-Jie Chen

  • Reliability-oriented broadcast electrode-addressing for pin-constrained digital microfluidic biochips

    Tsung-Wei Huang;Tsung-Yi Ho;Krishnendu Chakrabarty

  • Droplet Size-Aware High-Level Synthesis for Micro-Electrode-Dot-Array Digital Microfluidic Biochips

    Zipeng Li;Kelvin Yi-Tse Lai;Po-Hsien Yu;Krishnendu Chakrabarty

  • Close-to-optimal placement and routing for continuous-flow microfluidic biochips

    Andreas Grimmer;Qin Wang;Hailong Yao;Tsung-Yi Ho

Frequent Co-Authors

Krishnendu Chakrabarty
Krishnendu Chakrabarty Arizona State University
Ulf Schlichtmann
Ulf Schlichtmann Technical University of Munich
Chen-Yi Lee
Chen-Yi Lee National Yang Ming Chiao Tung University
Yao-Wen Chang
Yao-Wen Chang National Taiwan University
Paul Pop
Paul Pop Technical University of Denmark
Yiyu Shi
Yiyu Shi University of Notre Dame
Robert Wille
Robert Wille Technical University of Munich
Wenzhong Guo
Wenzhong Guo Fuzhou University
Yier Jin
Yier Jin University of Florida
Der-Tsai Lee
Der-Tsai Lee Academia Sinica

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