World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6410
World Ranking
11144
National Ranking
4623

Wu-chang Feng 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 Wu-chang Feng 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: 81 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Wu-chang Feng 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 Wu-chang Feng 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Wu-chang Feng is affiliated with Portland State University in the United States and has contributed primarily to the field of Computer Science, with a focus across several subfields including Information Systems, Computer Networks and Communications, and Artificial Intelligence.

Their research addresses a range of topics, notably:

  • Information and Cyber Security
  • Cloud Data Security Solutions
  • Software System Performance and Reliability
  • Security and Verification in Computing
  • Advanced Data Storage Technologies
  • Distributed Systems and Fault Tolerance
  • Information Systems Education and Curriculum Development

Wu-chang Feng has published in venues like arXiv (Cornell University), contributing at least two documented papers. The recent papers include:

  • "Thunder CTF: Learning Cloud Security on a Dime," published in 2021 in arXiv (Cornell University)
  • "A Generative Security Application Engineering Curriculum," published in 2025 in arXiv (Cornell University)

Frequent collaborators in their research include Nicholas Springer, Daniel Connelly, and David Baker-Robinson. These coauthors have contributed to at least one publication each alongside Wu-chang Feng.

The scope of Wu-chang Feng's work incorporates both practical and educational aspects of cybersecurity and computer science, exemplified by the blend of topics such as cloud security, distributed systems, and curriculum development for security application engineering.

Best Publications

  • A self-configuring RED gateway

    W.-C. Feng;D.D. Kandlur;D. Saha;K.G. Shin

  • The BLUE active queue management algorithms

    Wu-chang Feng;Kang G. Shin;Dilip D. Kandlur;Debanjan Saha

  • Stochastic fair blue: a queue management algorithm for enforcing fairness

    Wu-Chang Feng;D.D. Kandlur;D. Saha;K.G. Shin

  • Panoptes: scalable low-power video sensor networking technologies

    Wu-Chi Feng;Ed Kaiser;Wu Chang Feng;Mikael Le Baillif

  • Reconstructing system state for intrusion analysis

    Ashvin Goel;Kamran Farhadi;Kenneth Po;Wu-chang Feng

  • A traffic characterization of popular on-line games

    Wu-chang Feng;Francis Chang;Wu-chi Feng;Jonathan Walpole

  • Provisioning on-line games: a traffic analysis of a busy counter-strike server

    Francis Chang;Wu-chang Feng;Wu-chi Feng;Jonathan Walpole

  • Performance evaluation of smoothing algorithms for transmitting prerecorded variable-bit-rate video

    W.-C. Feng;J. Rexford

  • Towards trustworthy participatory sensing

    Akshay Dua;Nirupama Bulusu;Wu-Chang Feng;Wen Hu

  • Approximate caches for packet classification

    F. Chang;Wu-chang Feng;Kang Li

  • Adaptive packet marking for maintaining end-to-end throughput in a differentiated-services internet

    Wu-Chang Feng;D.D. Kandlur;D. Saha;K.G. Shin

  • Design and implementation of network puzzles

    W. Feng;E. Kaiser;A. Luu

  • A long-term study of a popular MMORPG

    Wu-chang Feng;David Brandt;Debanjan Saha

  • Adaptive packet marking for providing differentiated services in the Internet

    Wu-chang Feng;D.D. Kandlur;D. Saha;K.G. Shin

  • Systems and methods for protecting against denial of service attacks

    Wu-Chang Feng;Ed Kaiser

  • Measurement-based characterization of a collection of on-line games

    Chris Chambers;Wu-chang Feng;Sambit Sahu;Debanjan Saha

  • Understanding and improving TCP performance over networks with minimum rate guarantees

    Wu-chang Feng;Dilip D. Kandlur;Debanjan Saha;Kang G. Shin

  • Panoptes: scalable low-power video sensor networking technologies

    Wu-chi Feng;Brian Code;Ed Kaiser;Mike Shea

  • Forensix: a robust, high-performance reconstruction system

    A. Goel;W.-C. Feng;D. Maier;J. Walpole

  • Understanding TCP dynamics in an integrated services Internet

    Wu-Chang Feng;D.D. Kandlur;D. Saha;K.G. Shin

  • Measurement-based Characterization of a Collection of On-line Games (Awarded Best Student Paper!).

    Chris Chambers;Wu-chang Feng;Sambit Sahu;Debanjan Saha

Frequent Co-Authors

Wu-chi Feng
Wu-chi Feng Portland State University
Kang G. Shin
Kang G. Shin University of Michigan–Ann Arbor
Debanjan Saha
Debanjan Saha DataRobot
Jonathan Walpole
Jonathan Walpole Portland State University
Gregory L. Geoffroy
Gregory L. Geoffroy Iowa State University
Sambit Sahu
Sambit Sahu IBM (United States)
Jennifer Rexford
Jennifer Rexford Princeton University
Farnam Jahanian
Farnam Jahanian Carnegie Mellon University
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Wen Hu
Wen Hu University of New South Wales

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