World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
86
Citations
36093
World Ranking
760
National Ranking
407

Ling Liu 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 Ling Liu 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: 777 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Ling Liu 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 Ling Liu 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: 86 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to scalable Internet data management and decentralized trust management

Overview

Ling Liu is affiliated with the Georgia Institute of Technology in the United States and has contributed extensively to the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, and Electrical and Electronic Engineering.

Their recent research includes publications in various reputable venues, reflecting a diverse range of topics. Notable recent papers include:

  • Security and Privacy for Healthcare Blockchains, 2021, IEEE Transactions on Services Computing
  • A Framework for Evaluating Gradient Leakage Attacks in Federated Learning, 2020, arXiv (Cornell University)
  • Machine learning the nuclear mass, 2021, Nuclear Science and Techniques
  • De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks, 2021, IEEE Transactions on Information Forensics and Security
  • Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding, 2022, ACM Computing Surveys

Their frequent co-authors include Wenqi Wei, Yanzhao Wu, Ka-Ho Chow, Sihao Hu, and Tiansheng Huang.

Ling Liu often publishes in venues such as arXiv (Cornell University), IEEE Transactions on Services Computing, IEEE Transactions on Information Forensics and Security, ACM Transactions on Intelligent Systems and Technology, and IEEE Access.

Their work covers several main topics, including:

  • Adversarial Robustness in Machine Learning
  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Anomaly Detection Techniques and Applications
  • Cryptography and Data Security
  • Advanced Neural Network Applications
  • Cloud Computing and Resource Management

In 2015, Ling Liu was recognized as an IEEE Fellow for contributions to scalable Internet data management and decentralized trust management.

Best Publications

  • PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities

    Li Xiong;Ling Liu

  • Encyclopedia of Database Systems

    Ling Liu;M. Tamer Zsu

  • Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms

    B. Gedik;Ling Liu

  • Location Privacy in Mobile Systems: A Personalized Anonymization Model

    B. Gedik;Ling Liu

  • Security and Privacy on Blockchain

    Rui Zhang;Rui Xue;Ling Liu

  • XWRAP: an XML-enabled wrapper construction system for Web information sources

    L. Liu;C. Pu;W. Han

  • A reputation-based trust model for peer-to-peer e-commerce communities

    Li Xiong;Ling Liu

  • Data Poisoning Attacks Against Federated Learning Systems

    Vale Tolpegin;Stacey Truex;Mehmet Emre Gursoy;Ling Liu

  • Supporting anonymous location queries in mobile environments with privacygrid

    Bhuvan Bamba;Ling Liu;Peter Pesti;Ting Wang

  • Continual queries for Internet scale event-driven information delivery

    Ling Liu;C. Pu;Wei Tang

  • Security Models and Requirements for Healthcare Application Clouds

    Rui Zhang;Ling Liu

  • A reputation-based trust model for peer-to-peer ecommerce communities.

    Li Xiong;Ling Liu

  • TrustGuard: countering vulnerabilities in reputation management for decentralized overlay networks

    Mudhakar Srivatsa;Li Xiong;Ling Liu

  • TrustMe: anonymous management of trust relationships in decentralized P2P systems

    Aameek Singh;Ling Liu

  • Privacy preserving data classification with rotation perturbation

    Keke Chen;Ling Liu

  • LDP-Fed: federated learning with local differential privacy

    Stacey Truex;Ling Liu;Ka-Ho Chow;Mehmet Emre Gursoy

  • Encyclopedia of database systems

    Unknown

  • A fully automated object extraction system for the World Wide Web

    D. Buttler;Ling Liu;C. Pu

  • MobiMix: Protecting location privacy with mix-zones over road networks

    Balaji Palanisamy;Ling Liu

  • Differentially Private Model Publishing for Deep Learning

    Lei Yu;Ling Liu;Calton Pu;Mehmet Emre Gursoy

  • Purlieus: locality-aware resource allocation for MapReduce in a cloud

    Balaji Palanisamy;Aameek Singh;Ling Liu;Bhushan Jain

  • ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks

    B. Gedik;Ling Liu;P.S. Yu

  • A reputation-based trust model for peer-to-peer ecommerce communities [Extended Abstract]

    Li Xiong;Ling Liu

Frequent Co-Authors

Calton Pu
Calton Pu Georgia Institute of Technology
Mudhakar Srivatsa
Mudhakar Srivatsa IBM (United States)
Bugra Gedik
Bugra Gedik Royal Caribbean Cruises (United States)
James Caverlee
James Caverlee Texas A&M University
Joshua D. Rabinowitz
Joshua D. Rabinowitz Princeton University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Li Xiong
Li Xiong Emory University
Hai Jin
Hai Jin Huazhong University of Science and Technology
Kun-Lung Wu
Kun-Lung Wu IBM (United States)

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