World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
15068
World Ranking
2355
National Ranking
1174

Jin Li 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 Jin Li 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: 245 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Jin Li 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 Jin Li 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: 66 D-Index — 84th percentile

84% 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

  • 2012 - IEEE Fellow For contributions to multimedia delivery, compression and storage for real-time communication

Overview

Jin Li is affiliated with Microsoft in the United States and has a research focus primarily in the field of computer science with an emphasis on artificial intelligence, computer vision and pattern recognition, information systems, electrical and electronic engineering, and computer networks and communications.

Their research topics include:

  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Blockchain Technology Applications and Security
  • Adversarial Robustness in Machine Learning
  • Advanced Neural Network Applications
  • Advanced Steganography and Watermarking Techniques
  • Stochastic Gradient Optimization Techniques

Jin Li's recent publications feature works in various reputable venues, including:

  • "VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning," 2020, IEEE Transactions on Information Forensics and Security
  • "A training-integrity privacy-preserving federated learning scheme with trusted execution environment," 2020, Information Sciences
  • "An Automatic Cost Learning Framework for Image Steganography Using Deep Reinforcement Learning," 2020, IEEE Transactions on Information Forensics and Security
  • "Incorporating health co-benefits into technology pathways to achieve China's 2060 carbon neutrality goal: a modelling study," 2021, The Lancet Planetary Health
  • "Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning," 2021, IEEE Internet of Things Journal

Frequent co-authors of Jin Li include:

  • Zheli Liu
  • Tong Li
  • Xiaofeng Chen
  • Changyu Dong
  • Hongyang Yan

Jin Li has contributed extensively to publication venues such as:

  • arXiv (Cornell University) with 24 publications
  • IEEE Transactions on Dependable and Secure Computing with 14 publications
  • IEEE Transactions on Information Forensics and Security with 6 publications
  • IEEE Internet of Things Journal with 5 publications
  • IEEE Transactions on Knowledge and Data Engineering with 5 publications

The scientist has authored books published by Springer Nature and Springer Science+Business Media, including:

  • Privacy-Preserving Machine Learning, 2022
  • Security and Privacy in Social Networks and Big Data, 2020

Jin Li received the IEEE Fellow award in 2012 for contributions to multimedia delivery, compression, and storage for real-time communication.

Best Publications

  • Erasure coding in windows azure storage

    Cheng Huang;Huseyin Simitci;Yikang Xu;Aaron Ogus

  • Pyramid Codes: Flexible Schemes to Trade Space for Access Efficiency in Reliable Data Storage Systems

    Cheng Huang;Minghua Chen;Jin Li

  • Can internet video-on-demand be profitable?

    Cheng Huang;Jin Li;Keith W. Ross

  • FlashStore: high throughput persistent key-value store

    Biplob Debnath;Sudipta Sengupta;Jin Li

  • BloomFlash: Bloom Filter on Flash-Based Storage

    Biplob Debnath;Sudipta Sengupta;Jin Li;David J. Lilja

  • System and method for receiver-driven streaming in a peer-to-peer network

    Jin Li

  • ChunkStash: speeding up inline storage deduplication using flash memory

    Biplob Debnath;Sudipta Sengupta;Jin Li

  • Determining Network Delay and CDN Deployment

    Cheng Huang;Jin Li;Angela Wang;Keith Wimberly Ross

  • SkimpyStash: RAM space skimpy key-value store on flash-based storage

    Biplob Debnath;Sudipta Sengupta;Jin Li

  • Automated NAT traversal for peer-to-peer networks

    Jin Li;Li-wei He

  • Simple regenerating codes: Network coding for cloud storage

    Dimitris S. Papailiopoulos;Jianqiang Luo;Alexandros G. Dimakis;Cheng Huang

  • Versioning synchronization for mass p2p file sharing

    Jin Li

  • Understanding hybrid CDN-P2P: why limelight needs its own Red Swoosh

    Cheng Huang;Angela Wang;Jin Li;Keith W. Ross

  • Erasure coding across multiple zones and sub-zones

    Sergey Yekhanin;Huseyin Simitci;Aaron W. Ogus;Jin Li

  • Measuring and Evaluating Large-Scale CDNs

    Cheng Huang;Angela Wang;Jin Li;Keith W. Ross

  • Distributed data storage using erasure resilient coding

    Jin Li;Li-wei He;Jian Liang

  • Using index partitioning and reconciliation for data deduplication

    Jin Li;Sudipta Sengupta;Ran Kalach;Ronakkumar N. Desai

  • Erasure coding across multiple zones

    Bradley G. Calder;Parikshit Santhana Gopalan;Cheng Huang;Jin Li

  • Primary data deduplication-large scale study and system design

    Ahmed El-Shimi;Ran Kalach;Ankit Kumar;Adi Oltean

  • An embedded still image coder with rate-distortion optimization

    Jin Li;Shawmin Lei

  • Proceedings of the 2016 ACM on Multimedia Conference

    Alan Hanjalic;Cees Snoek;Marcel Worring;Dick Bulterman

Frequent Co-Authors

Cheng Huang
Cheng Huang Microsoft (United States)
Sudipta Sengupta
Sudipta Sengupta Amazon (United States)
Philip A. Chou
Philip A. Chou Google (United States)
Minghua Chen
Minghua Chen City University of Hong Kong
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California
Keith W. Ross
Keith W. Ross New York University
Cha Zhang
Cha Zhang Microsoft (United States)
Haiying Shen
Haiying Shen University of Virginia
Ya-Qin Zhang
Ya-Qin Zhang Tsinghua University
Mung Chiang
Mung Chiang Purdue University West Lafayette

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