World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7446
World Ranking
11069
National Ranking
149

Zhenkai Liang publications per year

2002: 2 publications 2003: 1 publications 2004: 0 publications 2005: 4 publications 2006: 1 publications 2007: 4 publications 2008: 6 publications 2009: 3 publications 2010: 4 publications 2011: 3 publications 2012: 8 publications 2013: 9 publications 2014: 9 publications 2015: 5 publications 2016: 9 publications 2017: 11 publications 2018: 9 publications 2019: 9 publications 2020: 4 publications 2021: 6 publications 2022: 5 publications 2023: 3 publications 2024: 12 publications 2025: 21 publications 2026: 2 publications
2002 2026

150 publications in total across all disciplines

Zhenkai Liang 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 Zhenkai Liang 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: 135 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.

Zhenkai Liang 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 Zhenkai Liang 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

Zhenkai Liang is affiliated with the National University of Singapore in Singapore and works primarily in the field of Computer Science, with a focus on multiple specialized subfields. Their research spans Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing, and Software. The scientist has contributed extensively to topics such as Advanced Malware Detection Techniques, Network Security and Intrusion Detection, Security and Verification in Computing, Cybercrime and Law Enforcement Studies, Information and Cyber Security, Terrorism, Counterterrorism, and Political Violence, as well as Software Testing and Debugging Techniques.

Their recent publications reflect a focus on cybersecurity, threat analysis, and system vulnerabilities. Notable papers include:

  • SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records, 2022, 2022 IEEE Symposium on Security and Privacy (SP)
  • I Know Your Social Network Accounts: A Novel Attack Architecture for Device-Identity Association, 2022, IEEE Transactions on Dependable and Secure Computing
  • PalanTír, 2022, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • Semantic-Fuzzing-Based Empirical Analysis of Voice Assistant Systems of Asian Symbol Languages, 2021, IEEE Internet of Things Journal
  • AttacKG: Constructing Technique Knowledge Graph from Cyber Threat Intelligence Reports, 2021, arXiv (Cornell University)

Frequent co-authors with whom Liang has collaborated include Jiahao Liu, Yuancheng Jiang, Roland H. C. Yap, Chuqi Zhang, and Bonan Ruan, highlighting a collaborative research network.

The primary venues for Liang's work include:

  • arXiv (Cornell University)
  • 2022 IEEE Symposium on Security and Privacy (SP)
  • Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • IEEE Transactions on Dependable and Secure Computing
  • Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security

Best Publications

  • BitBlaze: A New Approach to Computer Security via Binary Analysis

    Dawn Song;David Brumley;Heng Yin;Juan Caballero

  • Jump-oriented programming: a new class of code-reuse attack

    Tyler Bletsch;Xuxian Jiang;Vince W. Freeh;Zhenkai Liang

  • Polyglot: automatic extraction of protocol message format using dynamic binary analysis

    Juan Caballero;Heng Yin;Zhenkai Liang;Dawn Song

  • Data-Oriented Programming: On the Expressiveness of Non-control Data Attacks

    Hong Hu;Shweta Shinde;Sendroiu Adrian;Zheng Leong Chua

  • Automatically Identifying Trigger-based Behavior in Malware

    David Brumley;Cody Hartwig;Zhenkai Liang;James Newsome

  • Fast and automated generation of attack signatures: a basis for building self-protecting servers

    Zhenkai Liang;R. Sekar

  • HookFinder: Identifying and Understanding Malware Hooking Behaviors

    Heng Yin;Zhenkai Liang;Dawn Song

  • Automatic generation of data-oriented exploits

    Hong Hu;Zheng Leong Chua;Sendroiu Adrian;Prateek Saxena

  • Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment

    Ziqi Yang;Jiyi Zhang;Ee-Chien Chang;Zhenkai Liang

  • Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment

    Ziqi Yang;Jiyi Zhang;Ee-Chien Chang;Zhenkai Liang

  • Towards automatic discovery of deviations in binary implementations with applications to error detection and fingerprint generation

    David Brumley;Juan Caballero;Zhenkai Liang;James Newsome

  • SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records

    Unknown

  • Isolated program execution: an application transparent approach for executing untrusted programs

    Z. Liang;V.N. Venkatakrishnan;R. Sekar

  • Monet: A User-Oriented Behavior-Based Malware Variants Detection System for Android

    Mingshen Sun;Xiaolei Li;John C. S. Lui;Richard T. B. Ma

  • DARWIN: An approach to debugging evolving programs

    Dawei Qi;Abhik Roychoudhury;Zhenkai Liang;Kapil Vaswani

  • Neural Nets Can Learn Function Type Signatures From Binaries

    Zheng Leong Chua;Shiqi Shen;Prateek Saxena;Zhenkai Liang

  • Phishing-Alarm: Robust and Efficient Phishing Detection via Page Component Similarity

    Jian Mao;Wenqian Tian;Pei Li;Tao Wei

  • AirBag: Boosting Smartphone Resistance to Malware Infection.

    Chiachih Wu;Yajin Zhou;Kunal Patel;Zhenkai Liang

  • BitScope: Automatically Dissecting Malicious Binaries

    David Brumley;Cody Hartwig;Min Gyung Kang;Zhenkai Liang

  • One-Way Isolation: An Effective Approach for Realizing Safe Execution Environments.

    Weiqing Sun;Zhenkai Liang;V. N. Venkatakrishnan;R. Sekar

  • Darwin: an approach for debugging evolving programs

    Dawei Qi;Abhik Roychoudhury;Zhenkai Liang;Kapil Vaswani

  • Automatic generation of buffer overflow attack signatures: an approach based on program behavior models

    Zhenkai Liang;R. Sekar

Frequent Co-Authors

Prateek Saxena
Prateek Saxena National University of Singapore
Dawn Song
Dawn Song University of California, Berkeley
R. C. Sekar
R. C. Sekar Stony Brook University
Heng Yin
Heng Yin University of California, Riverside
Xuxian Jiang
Xuxian Jiang PeckShield
V. N. Venkatakrishnan
V. N. Venkatakrishnan University of Illinois at Chicago
Juan Caballero
Juan Caballero Madrid Institute for Advanced Studies
David Brumley
David Brumley Carnegie Mellon University
Abhik Roychoudhury
Abhik Roychoudhury National University of Singapore
Jin Song Dong
Jin Song Dong Griffith University

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