World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5007
World Ranking
12627
National Ranking
5114

S. Felix Wu 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 S. Felix Wu 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: 137 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

S. Felix Wu 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 S. Felix Wu 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

S. Felix Wu is affiliated with the University of California, Davis in the United States. Their research spans primarily the fields of Engineering and Computer Science, with a significant focus on Aerospace Engineering and Control and Systems Engineering.

The scientist's work has been published extensively in several noted venues. Frequent publication venues include:

  • Aerospace Science and Technology
  • International Journal of Aerospace Engineering
  • Acta Astronautica
  • SSRN Electronic Journal
  • arXiv (Cornell University)

Wu's research topics cover a range of specialized subjects within aerospace and systems control, including:

  • Space Satellite Systems and Control
  • Structural Analysis and Optimization
  • Dynamics and Control of Mechanical Systems
  • Adaptive Control of Nonlinear Systems
  • Planetary Science and Exploration
  • Solar and Space Plasma Dynamics
  • Astro and Planetary Science

Among their recent scholarly output are the following papers:

  • "Fake Node Attacks on Graph Convolutional Networks," 2022, Journal of Computational and Cognitive Engineering
  • "Active vibration suppression for large space structure assembly: A distributed adaptive model predictive control approach," 2020, Journal of Vibration and Control
  • "Multibody dynamics and robust attitude control of a MW-level solar power satellite," 2021, Aerospace Science and Technology
  • "Distributed cooperative control for vibration suppression of a flexible satellite," 2022, Aerospace Science and Technology
  • "Vibration control for large space truss structure assembly using a distributed adaptive neural network approach," 2023, Acta Astronautica

S. Felix Wu works collaboratively with multiple coauthors. Frequent collaborators include:

  • Zhigang Wu
  • Zhiyu Ni
  • Weimeng Chu
  • Weiya Zhou
  • Zhe Ye

Best Publications

  • On design and evaluation of "intention-driven" ICMP traceback

    A. Mankin;D. Massey;Chien-Lung Wu;S.F. Wu

  • An analysis of BGP multiple origin AS (MOAS) conflicts

    Xiaoliang Zhao;Dan Pei;Lan Wang;Dan Massey

  • On deriving unknown vulnerabilities from zero-day polymorphic and metamorphic worm exploits

    Jedidiah R. Crandall;Zhendong Su;S. Felix Wu;Frederic T. Chong

  • Observation and analysis of BGP behavior under stress

    Lan Wang;Xiaoliang Zhao;Dan Pei;Randy Bush

  • Inter-Packet Delay Based Correlation for Tracing Encrypted Connections through Stepping Stones

    Xinyuan Wang;Douglas S. Reeves;Shyhtsun Felix Wu

  • Sleepy watermark tracing: an active network-based intrusion response framework

    X. Wang;Douglas S. Reeves;Douglas S. Reeves;Shyhtsun Felix Wu;Jim Yuill

  • Improving BGP convergence through consistency assertions

    Dan Pei;Xiaoliang Zhao;Lan Wang;D. Massey

  • Detection of invalid routing announcement in the Internet

    Xiaoliang Zhao;Dan Pei;Lan Wang;D. Massey

  • IPSec/VPN Security Policy: Correctness, Conflict Detection, and Resolution

    Unknown

  • Cyber defense technology networking and evaluation

    R. Bajcsy;T. Benzel;M. Bishop;B. Braden

  • Combining visual and automated data mining for near-real-time anomaly detection and analysis in BGP

    Soon Tee Teoh;Ke Zhang;Shih-Ming Tseng;Kwan-Liu Ma

  • Statistical anomaly detection for link-state routing protocols

    Diheng Qu;B.M. Vetter;Feiyi Wang;R. Narayan

  • Temporal search: detecting hidden malware timebombs with virtual machines

    Jedidiah R. Crandall;Gary Wassermann;Daniela A. S. de Oliveira;Zhendong Su

  • Minos: Architectural support for protecting control data

    Jedidiah R. Crandall;S. Felix Wu;Frederic T. Chong

  • Detecting flaws and intruders with visual data analysis

    Soon Tee Teoh;Kwan-Liu Ma;S.F. Wu;T.J. Jankun-Kelly

  • ExecRecorder: VM-based full-system replay for attack analysis and system recovery

    Daniela A. S. de Oliveira;Jedidiah R. Crandall;Gary Wassermann;S. Felix Wu

  • DECIDUOUS: decentralized source identification for network-based intrusions

    H.Y. Chang;R. Narayan;S.F. Wu;B.M. Vetter

  • Experiences using minos as a tool for capturing and analyzing novel worms for unknown vulnerabilities

    Jedidiah R. Crandall;S. Felix Wu;Frederic T. Chong

  • On detection of anomalous routing dynamics in BGP

    Ke Zhang;Amy Yen;Xiaoliang Zhao;Dan Massey

  • Noise Injection for Search Privacy Protection

    Shaozhi Ye;Felix Wu;Raju Pandey;Hao Chen

  • A visual exploration process for the analysis of Internet routing data

    Soon Tee Teoh;Kwan-Liu Ma;S.F. Wu

  • Preventing denial of service attacks on quality of service

    E. Fulp;Zhi Fu;D.S. Reeves;S.F. Wu

  • A study of packet delivery performance during routing convergence

    D. Pei;L. Wang;D. Massey;S.F. Wu

Frequent Co-Authors

George A. Barnett
George A. Barnett University of California, Davis
Patrick McDaniel
Patrick McDaniel University of Wisconsin–Madison
Cho-Jui Hsieh
Cho-Jui Hsieh University of California, Los Angeles
Iulian Neamtiu
Iulian Neamtiu New Jersey Institute of Technology
Gail-Joon Ahn
Gail-Joon Ahn Arizona State University

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