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D-Index & Metrics

Computer Science

D-Index
53
Citations
15163
World Ranking
4725
National Ranking
2197

Lidong Zhou 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 Lidong Zhou 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: 130 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.

Lidong Zhou 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 Lidong Zhou 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 Fellow For contributions to trustworthy distributed computing and to systems research and education in China
  • 2019 - IEEE Fellow For contributions to trusted distributed computing

Overview

Lidong Zhou is a researcher affiliated with Microsoft in the United States. The primary area of research is situated within Biochemistry, Genetics, and Molecular Biology, with a particular focus on Molecular Biology, Biomedical Engineering, Plant Science, Materials Chemistry, and Analytical Chemistry.

The scientist's published work covers main topics such as advanced biosensing and bioanalysis techniques, biosensors and analytical detection, mycotoxins in agriculture and food, carbon and quantum dots applications, analytical chemistry methods development, electrochemical sensors and biosensors, and electrochemical analysis and applications.

Frequent publication venues include:

  • arXiv (Cornell University)
  • Food Chemistry
  • SSRN Electronic Journal
  • Microchemical Journal
  • Food Chemistry X

Lidong Zhou has collaborated extensively with several researchers, including:

  • Weijun Kong
  • Xiaofang Liao
  • Linchun Shi
  • Boyu Jia
  • Nan Long

Recent scientific publications demonstrate a focus on biosensors and pesticide detection, food safety, and code understanding through machine learning approaches. Notable recent papers include:

  • "CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation," 2021, arXiv (Cornell University)
  • "Recent progress in immunosensors for pesticides," 2020, Biosensors and Bioelectronics
  • "Molecularly imprinted polymer-based optical sensors for pesticides in foods: Recent advances and future trends," 2021, Trends in Food Science & Technology
  • "Recent advances in synthesis and modification of carbon dots for optical sensing of pesticides," 2021, Journal of Hazardous Materials
  • "Aptasensors for mycotoxins in foods: Recent advances and future trends," 2021, Comprehensive Reviews in Food Science and Food Safety

The research contributions extend across various domains associated with sensor technology, food safety, and analytical chemistry.

Awards include the IEEE Fellow distinction received in 2019 for contributions to trusted distributed computing and the ACM Fellow recognition in the same year for contributions to trustworthy distributed computing and systems research and education in China.

Best Publications

  • Securing ad hoc networks

    Lidong Zhou;Z.J. Haas

  • A multi-radio unification protocol for IEEE 802.11 wireless networks

    A. Adya;P. Bahl;J. Padhye;A. Wolman

  • Vigilante: end-to-end containment of internet worms

    Manuel Costa;Jon Crowcroft;Miguel Castro;Antony Rowstron

  • COCA: A secure distributed online certification authority

    Lidong Zhou;Fred B. Schneider;Robbert Van Renesse

  • Apollo: scalable and coordinated scheduling for cloud-scale computing

    Eric Boutin;Jaliya Ekanayake;Wei Lin;Bing Shi

  • COCA: A Secure Distributed On-line Certification Authority

    Lidong Zhou;Fred B. Schneider;Robbert Van Renesse

  • Kineograph: taking the pulse of a fast-changing and connected world

    Raymond Cheng;Ji Hong;Aapo Kyrola;Youshan Miao

  • MODIST: transparent model checking of unmodified distributed systems

    Junfeng Yang;Tisheng Chen;Ming Wu;Zhilei Xu

  • Boxwood: abstractions as the foundation for storage infrastructure

    John MacCormick;Nick Murphy;Marc Najork;Chandramohan A. Thekkath

  • Gandiva: introspective cluster scheduling for deep learning

    Wencong Xiao;Romil Bhardwaj;Ramachandran Ramjee;Muthian Sivathanu

  • TimeStream: reliable stream computation in the cloud

    Zhengping Qian;Yong He;Chunzhi Su;Zhuojie Wu

  • COCA: a secure distributed online certification authority

    Lidong Zhou;F.B. Schneider;R. Van Renesse

  • Distributed systems meet economics: pricing in the cloud

    Hongyi Wang;Qingfeng Jing;Rishan Chen;Bingsheng He

  • Chronos: a graph engine for temporal graph analysis

    Wentao Han;Youshan Miao;Kaiwei Li;Ming Wu

  • Vertical paxos and primary-backup replication

    Leslie Lamport;Dahlia Malkhi;Lidong Zhou

  • Bouncer: securing software by blocking bad input

    Manuel Costa;Miguel Castro;Lidong Zhou;Lintao Zhang

  • A first look at peer-to-peer worms: threats and defenses

    Lidong Zhou;Lintao Zhang;Frank McSherry;Nicole Immorlica

  • Transactional flash

    Vijayan Prabhakaran;Thomas L. Rodeheffer;Lidong Zhou

  • APSS: proactive secret sharing in asynchronous systems

    Lidong Zhou;Fred B. Schneider;Robbert Van Renesse

  • Performing a deletion of a node in a tree data storage structure

    Lidong Zhou;Chandramohan A. Thekkath

  • NeuGraph: Parallel Deep Neural Network Computation on Large Graphs

    Lingxiao Ma;Zhi Yang;Youshan Miao;Jilong Xue

Frequent Co-Authors

Dahlia Malkhi
Dahlia Malkhi Diem Association
Lintao Zhang
Lintao Zhang Microsoft (United States)
Chandramohan A. Thekkath
Chandramohan A. Thekkath Microsoft (United States)
Fred B. Schneider
Fred B. Schneider Cornell University
Lili Qiu
Lili Qiu The University of Texas at Austin
Jitendra Padhye
Jitendra Padhye Microsoft (United States)
Atul Adya
Atul Adya Google (United States)
Junfeng Yang
Junfeng Yang Columbia University
Leslie Lamport
Leslie Lamport Microsoft (United States)
Miguel Castro
Miguel Castro Microsoft (United States)

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