World's Best Scientists 2026 revealed!

Polly Huang 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 Polly Huang 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+

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

Polly Huang 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 Polly Huang 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+

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

Overview

Polly Huang is affiliated with National Taiwan University in Taiwan. Their research spans multiple fields, primarily in Computer Science and Biochemistry, Genetics and Molecular Biology. These areas of study encompass a variety of specialized subfields including Genetics, Computer Networks and Communications, Artificial Intelligence, Surgery, and Biochemistry.

Their scientific work covers a diverse range of topics, reflecting interdisciplinary expertise. Main topics of research include:

  • Genetic and Kidney Cyst Diseases
  • Internet Traffic Analysis and Secure E-voting
  • Pancreatic function and diabetes
  • Amino Acid Enzymes and Metabolism
  • Caching and Content Delivery
  • Peer-to-Peer Network Technologies
  • Biomedical Research and Pathophysiology

Polly Huang has contributed to several recent publications, including:

  • "Beneficial effects of bempedoic acid treatment in polycystic kidney disease cells and mice," 2022, Frontiers in Molecular Biosciences
  • "Twitch's CDN as an Open Population Ecosystem," 2021, Asian Internet Engineering Conference
  • "Beneficial Effects of Bempedoic Acid Treatment in Polycystic Kidney Disease Cells and Mice," 2022, bioRxiv (Cold Spring Harbor Laboratory)
  • "Towards Cost Effective Server Population Estimation: A Case Study of Twitch," 2020, Companion Proceedings of the Web Conference 2020
  • "Technical Perspective: Sensing Interaction with Everyday Objects Using Near-Field Communication in Textiles," 2023, Communications of the ACM

The venues where these works have been published reflect a balance between biomedical sciences and computer science-focused conferences and journals, including:

  • Frontiers in Molecular Biosciences
  • Asian Internet Engineering Conference
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Companion Proceedings of the Web Conference 2020
  • Communications of the ACM

Frequent collaborators include Kenneth R. Hallows, Hui Li, B. Saitta, Saman Sepehr, and Jessica Pham. Each of these coauthors has been associated with at least two joint publications with Huang, indicating ongoing research partnerships across multiple projects.

Best Publications

  • Advances in network simulation

    L. Breslau;D. Estrin;K. Fall;S. Floyd

  • Dynamics of IP traffic: a study of the role of variability and the impact of control

    Anja Feldmann;Anna C. Gilbert;Polly Huang;Walter Willinger

  • Improving Simulation for Network Research

    Sandeep Bajaj;Lee Breslau;Deborah Estrin;Kevin R. Fall

  • Quantifying Skype user satisfaction

    Kuan-Ta Chen;Chun-Ying Huang;Polly Huang;Chin-Laung Lei

  • Game traffic analysis: an MMORPG perspective

    Kuan-Ta Chen;Polly Huang;Chin-Laung Lei

  • Sensor-assisted wi-fi indoor location system for adapting to environmental dynamics

    Yi-Chao Chen;Ji-Rung Chiang;Hao-hua Chu;Polly Huang

  • A non-instrusive, wavelet-based approach to detecting network performance problems

    Polly Huang;Anja Feldmann;Walter Willinger

  • The diet-aware dining table: observing dietary behaviors over a tabletop surface

    Keng-hao Chang;Shih-yen Liu;Hao-hua Chu;Jane Yung-jen Hsu

  • How sensitive are online gamers to network quality

    Kuan-Ta Chen;Polly Huang;Chin-Laung Lei

  • Game traffic analysis: an MMORPG perspective

    Kuan-Ta Chen;Polly Huang;Chun-Ying Huang;Chin-Laung Lei

  • Identifying MMORPG bots: a traffic analysis approach

    Kuan-Ta Chen;Jhih-Wei Jiang;Polly Huang;Hao-Hua Chu

  • Spinning beacons for precise indoor localization

    Ho-lin Chang;Jr-ben Tian;Tsung-Te Lai;Hao-Hua Chu

  • TUIC: enabling tangible interaction on capacitive multi-touch displays

    Neng-Hao Yu;Li-Wei Chan;Seng Yong Lau;Sung-Sheng Tsai

  • On the Spectrum and Structure of Internet Topology Graphs

    Danica Vukadinovic;Polly Huang;Thomas Erlebach

  • A dynamic bootstrap mechanism for rendezvous-based multicast routing

    D. Estrin;M. Handley;A. Helmy;P. Huang

  • Enabling large-scale simulations: selective abstraction approach to the study of multicast protocols

    P. Huang;D. Estrin;J. Heidemann

  • Effect of Network Quality on Player Departure Behavior in Online Games

    Kuan-Ta Chen;P. Huang;Chin-Laung Lei

  • TriopusNet: automating wireless sensor network deployment and replacement in pipeline monitoring

    Ted Tsung-Te Lai;Wei-Ju Chen;Kuei-Han Li;Polly Huang

  • Accuracy Performance Analysis between War Driving and War Walking in Metropolitan Wi-Fi Localization

    Arvin Wen Tsui Tsui;Wei-Cheng Lin;Wei-Ju Chen;Polly Huang

  • Identifying MMORPG Bots: A Traffic Analysis Approach (Extended)

    Kuan-Ta Chen;Jhih-Wei Jiang;Polly Huang;Hao-Hua Chu

Frequent Co-Authors

Hao-Hua Chu
Hao-Hua Chu National Taiwan University
Kuan-Ta Chen
Kuan-Ta Chen Academia Sinica
Chin-Laung Lei
Chin-Laung Lei National Taiwan University
Homer H. Chen
Homer H. Chen National Taiwan University
John Heidemann
John Heidemann University of Southern California
Deborah Estrin
Deborah Estrin Cornell University
Ahmed Helmy
Ahmed Helmy University of North Carolina at Charlotte
Mark Handley
Mark Handley University College London
Sally Floyd
Sally Floyd International Computer Science Institute
Reza Rejaie
Reza Rejaie University of Oregon

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 degrees in computer science opens up a variety of pathways, from foundational programs to advanced specialties. For those seeking an accelerated route, there are shortest masters degree programs online that allow you to earn a graduate credential quickly—ideal for career changes or rapid advancement.

If you’re interested in programs that align with current job market needs, it’s worth considering the most in demand masters degrees. These focus on areas such as data science, cybersecurity, and software engineering, which consistently rank high for employability and starting salaries.

Not ready to commit to a four-year degree? An online associate degree in computer science offers an affordable, flexible starting point. These programs often lead to entry-level tech roles or serve as a stepping-stone toward further study.

For budget-conscious students, there are also many options among the cheapest online college programs. These allow you to pursue a respected degree without overwhelming financial strain, making quality computer science education accessible to more learners.

Best Scientists Citing Polly Huang

Trending Scientists