World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
18083
World Ranking
4700
National Ranking
2183

Li Xiong 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 Li Xiong 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: 240 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Li Xiong 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 Li Xiong 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: 53 D-Index — 67th percentile

67% 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

  • 2019 - ACM Distinguished Member

Overview

Li Xiong is affiliated with Emory University in the United States and has contributed extensively to the field of Computer Science, with a particular focus on Artificial Intelligence, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering. Their published works span subfields including Computer Science Applications and Transportation.

Their research interests concentrate primarily on Privacy-Preserving Technologies in Data, Adversarial Robustness in Machine Learning, Mobile Crowdsensing and Crowdsourcing, Human Mobility and Location-Based Analysis, Advanced Neural Network Applications, Cryptography and Data Security, and broader concerns in Privacy, Security, and Data Protection.

Li Xiong's recent scholarly output includes papers such as:

  • Advances and Open Problems in Federated Learning (2020), published in Foundations and Trends® in Machine Learning
  • Fractional-order double-ring erbium-doped fiber laser chaotic system and its application on image encryption (2021), published in Optics & Laser Technology
  • Dealer (2021), published in Proceedings of the VLDB Endowment
  • Mixed gray-color images encryption algorithm based on a memristor chaotic system and 2D compression sensing (2023), published in Expert Systems with Applications
  • Generating sequential electronic health records using dual adversarial autoencoder (2020), published in Journal of the American Medical Informatics Association

They have collaborated frequently with researchers including Jian Lou, Jinfei Liu, Yang Cao, Qiuchen Zhang, and Cyrus Shahabi. These coauthorships demonstrate active engagement with peers in exploring various dimensions of computer science and related technologies.

Li Xiong's publications appear most frequently in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • SSRN Electronic Journal
  • Proceedings of the ACM on Management of Data
  • SIGSPATIAL Special

In 2019, Li Xiong received the ACM Distinguished Member award, recognizing their professional contributions within the computing community.

Best Publications

  • Advances and Open Problems in Federated Learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

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

    Li Xiong;Ling Liu

  • Advances and open problems in federated learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • REACT: real-time contact tracing and risk monitoring using privacy-enhanced mobile tracking

    Li Xiong;Cyrus Shahabi;Yanan Da;Ritesh Ahuja

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

    Li Xiong;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

  • Protecting Locations with Differential Privacy under Temporal Correlations

    Yonghui Xiao;Li Xiong

  • Publishing set-valued data via differential privacy

    Rui Chen;Noman Mohammed;Benjamin C. M. Fung;Bipin C. Desai

  • Aesthetic-based Clothing Recommendation

    Wenhui Yu;Huidi Zhang;Xiangnan He;Xu Chen

  • Differentially private data release through multidimensional partitioning

    Yonghui Xiao;Li Xiong;Chun Yuan

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

    Li Xiong;Ling Liu

  • Spatial Task Assignment for Crowd Sensing with Cloaked Locations

    Layla Pournajaf;Li Xiong;Vaidy Sunderam;Slawomir Goryczka

  • An Adaptive Approach to Real-Time Aggregate Monitoring With Differential Privacy

    Liyue Fan;Li Xiong

  • A Comprehensive Comparison of Multiparty Secure Additions with Differential Privacy

    Slawomir Goryczka;Li Xiong

  • Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations

    Yang Cao;Masatoshi Yoshikawa;Yonghui Xiao;Li Xiong

  • WebDISCO: A web service for distributed cox model learning without patient-level data sharing

    Chia-Lun Lu;Shuang Wang;Zhanglong Ji;Yuan Wu

  • Distributed Anonymization: Achieving Privacy for Both Data Subjects and Data Providers

    Pawel Jurczyk;Li Xiong

  • Participant Privacy in Mobile Crowd Sensing Task Management: A Survey of Methods and Challenges

    Layla Pournajaf;Daniel A. Garcia-Ulloa;Li Xiong;Vaidy Sunderam

  • Quantifying Differential Privacy under Temporal Correlations

    Yang Cao;Masatoshi Yoshikawa;Yonghui Xiao;Li Xiong

  • Differentially Private Distributed Online Learning

    Chencheng Li;Pan Zhou;Li Xiong;Qian Wang

  • Dynamic Differential Privacy for Location based Applications.

    Yonghui Xiao;Li Xiong

Frequent Co-Authors

Vaidy S. Sunderam
Vaidy S. Sunderam Emory University
Xiaoqian Jiang
Xiaoqian Jiang The University of Texas Health Science Center at Houston
Jian Pei
Jian Pei Duke University
Ling Liu
Ling Liu Georgia Institute of Technology
Cyrus Shahabi
Cyrus Shahabi University of Southern California
Lucila Ohno-Machado
Lucila Ohno-Machado University of California, San Diego
Benjamin C. M. Fung
Benjamin C. M. Fung McGill University
Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence
Xiangnan He
Xiangnan He University of Science and Technology of China
Shi-Yong Sun
Shi-Yong Sun Emory University

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