World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
8769
World Ranking
12396
National Ranking
5025

Cliff C. Zou 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 Cliff C. Zou 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: 132 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Cliff C. Zou 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 Cliff C. Zou 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

Cliff C. Zou is affiliated with the University of Central Florida in the United States and has a research portfolio primarily situated in the field of Computer Science. Their work spans a broad range of subfields within this domain, including Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition, and Information Systems.

The scientist's research topics highlight a focus on Internet Traffic Analysis and Secure E-voting, Advanced Malware Detection Techniques, and Network Security and Intrusion Detection. Additional areas of investigation involve Advanced Steganography and Watermarking Techniques, Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, and Privacy-Preserving Technologies in Data.

Notable recent publications by Cliff C. Zou include:

  • "A Framework for Attribute-Based Access Control in Processing Big Data with Multiple Sensitivities" (2023), published in Applied Sciences
  • "Encrypted Network Traffic Analysis and Classification Utilizing Machine Learning" (2024), published in Sensors
  • "On Security of TrustZone-M-Based IoT Systems" (2022), published in IEEE Internet of Things Journal
  • "A Worm Detection System Based on Deep Learning" (2020), published in IEEE Access
  • "FUME: Fuzzing Message Queuing Telemetry Transport Brokers" (2022), presented at IEEE INFOCOM 2022 - IEEE Conference on Computer Communications

Their frequent co-authors include Mohammed Alkhowaiter, Mnassar Alyami, Xinwen Fu, Abdulmajeed Alghamdi, and Lan Luo, with collaboration counts ranging from four to seven papers.

Cliff C. Zou has consistently published in venues such as arXiv (Cornell University), Sensors, the 2022 IEEE Symposium on Computers and Communications (ISCC), Applied Sciences, and the IEEE Internet of Things Journal.

Best Publications

  • Code red worm propagation modeling and analysis

    Cliff Changchun Zou;Weibo Gong;Don Towsley

  • An Advanced Hybrid Peer-to-Peer Botnet

    Ping Wang;Sherri Sparks;Cliff C Zou

  • Modeling Botnet Propagation Using Time Zones.

    David Dagon;Cliff Changchun Zou;Wenke Lee

  • An advanced hybrid peer-to-peer botnet

    Ping Wang;Sherri Sparks;Cliff C. Zou

  • Monitoring and early warning for internet worms

    Cliff Changchun Zou;Lixin Gao;Weibo Gong;Don Towsley

  • Worm propagation modeling and analysis under dynamic quarantine defense

    Cliff Changchun Zou;Weibo Gong;Don Towsley

  • The monitoring and early detection of internet worms

    Cliff C. Zou;Weibo Gong;Don Towsley;Lixin Gao

  • On the performance of internet worm scanning strategies

    Cliff C. Zou;Don Towsley;Weibo Gong

  • Modeling and Simulation Study of the Propagation and Defense of Internet E-mail Worms

    C.C. Zou;D. Towsley;Weibo Gong

  • Honeypot-Aware Advanced Botnet Construction and Maintenance

    C.C. Zou;R. Cunningham

  • SMM rootkit: a new breed of OS independent malware

    Shawn Embleton;Sherri Sparks;Cliff Changchun Zou

  • Optimal roadside units placement in urban areas for vehicular networks

    Baber Aslam;Faisal Amjad;Cliff C. Zou

  • Routing Worm: A Fast, Selective Attack Worm Based on IP Address Information

    Cliff C. Zou;Don Towsley;Weibo Gong;Songlin Cai

  • Email worm modeling and defense

    C.C. Zou;D. Towsley;Weibo Gong

  • Defense against Sybil attack in vehicular ad hoc network based on roadside unit support

    Soyoung Park;Baber Aslam;Damla Turgut;Cliff C. Zou

  • Honeypot detection in advanced botnet attacks

    Ping Wang;Lei Wu;Ryan Cunningham;Cliff C. Zou

  • Automated Vulnerability Analysis: Leveraging Control Flow for Evolutionary Input Crafting

    S. Sparks;S. Embleton;R. Cunningham;C. Zou

  • Email Virus Propagation Modeling and Analysis

    Cliff C. Zou;Don Towsley;Weibo Gong

  • A Systematic Study on Peer-to-Peer Botnets

    Ping Wang;Lei Wu;Baber Aslam;Cliff C. Zou

  • SMM rootkits: a new breed of OS independent malware

    Shawn Embleton;Sherri Sparks;Cliff Zou

  • Code red worm propagation modeling and analysis

    Unknown

  • Monitoring and Early Detection for Internet Worms

    Cliff C. Zou;Weibo Gong;Don Towsley;Lixin Gao

Frequent Co-Authors

Weibo Gong
Weibo Gong University of Massachusetts Amherst
Don Towsley
Don Towsley University of Massachusetts Amherst
Mainak Chatterjee
Mainak Chatterjee University of Central Florida
Xinwen Fu
Xinwen Fu University of Massachusetts Lowell
Lixin Gao
Lixin Gao University of Massachusetts Amherst
Gary T. Leavens
Gary T. Leavens University of Central Florida
Kien A. Hua
Kien A. Hua University of Central Florida
Nick Duffield
Nick Duffield Texas A&M University
Yier Jin
Yier Jin University of Florida
Jun Wang
Jun Wang University of Central Florida

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