World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
9114
World Ranking
5657
National Ranking
2576

Kuan Zhang 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 Kuan Zhang 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: 164 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Kuan Zhang 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 Kuan Zhang 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Kuan Zhang is affiliated with the University of Nebraska-Lincoln in the United States and has an extensive research profile primarily within computer science and engineering fields. Their work encompasses both foundational theories and applied research, with a significant focus on topics related to data security, network communications, and intelligent systems.

The main fields of study for Kuan Zhang include:

  • Computer Science
  • Engineering

The subfields of study they have contributed to are:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Information Systems
  • Control and Systems Engineering

Their research spans several key topics, such as:

  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Blockchain Technology Applications and Security
  • IoT and Edge/Fog Computing
  • Mobile Crowdsensing and Crowdsourcing
  • Internet Traffic Analysis and Secure E-voting
  • Caching and Content Delivery

Kuan Zhang has published in a variety of prominent venues, including:

  • IEEE Internet of Things Journal
  • arXiv (Cornell University)
  • IEEE Network
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Dependable and Secure Computing

Among their recent published papers are:

  • "Microbial-induced carbonate precipitation (MICP) technology: a review on the fundamentals and engineering applications" (2023, Environmental Earth Sciences)
  • "Tough Hydrogel Bioadhesives for Sutureless Wound Sealing, Hemostasis and Biointerfaces" (2021, Advanced Functional Materials)
  • "Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges" (2020, IEEE Communications Surveys & Tutorials)

Kuan Zhang frequently collaborates with other researchers, including:

  • Kai Fan
  • Hui Li
  • Yintang Yang
  • Chong Yu
  • Kan Zheng

Best Publications

  • Security and Privacy in Smart City Applications: Challenges and Solutions

    Kuan Zhang;Jianbing Ni;Kan Yang;Xiaohui Liang

  • Securing Fog Computing for Internet of Things Applications: Challenges and Solutions

    Jianbing Ni;Kuan Zhang;Xiaodong Lin;Xuemin Sherman Shen

  • Sybil Attacks and Their Defenses in the Internet of Things

    Kuan Zhang;Xiaohui Liang;Rongxing Lu;Xuemin Shen

  • Big data-driven optimization for mobile networks toward 5G

    Kan Zheng;Zhe Yang;Kuan Zhang;Periklis Chatzimisios

  • Cloud assisted HetNets toward 5G wireless networks

    Ning Zhang;Nan Cheng;Amila Tharaperiya Gamage;Kuan Zhang

  • Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

    Lei Lei;Yue Tan;Kan Zheng;Shiwen Liu

  • Lifetime and Energy Hole Evolution Analysis in Data-Gathering Wireless Sensor Networks

    Ju Ren;Yaoxue Zhang;Kuan Zhang;Anfeng Liu

  • Security and privacy in mobile crowdsourcing networks: challenges and opportunities

    Kan Yang;Kuan Zhang;Ju Ren;Xuemin Shen

  • Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing

    Jianbing Ni;Kuan Zhang;Qi Xia;Xiaodong Lin

  • Exploiting mobile crowdsourcing for pervasive cloud services: challenges and solutions

    Ju Ren;Yaoxue Zhang;Kuan Zhang;Xuemin Shen

  • Security and privacy for mobile healthcare networks: from a quality of protection perspective

    Kuan Zhang;Kan Yang;Xiaohui Liang;Zhou Su

  • Epidemic Information Dissemination in Mobile Social Networks With Opportunistic Links

    Qichao Xu;Zhou Su;Kuan Zhang;Pinyi Ren

  • Providing Task Allocation and Secure Deduplication for Mobile Crowdsensing via Fog Computing

    Jianbing Ni;Kuan Zhang;Yong Yu;Xiaodong Lin

  • Blockchain-Based Data Security for Artificial Intelligence Applications in 6G Networks

    Weiwei Li;Zhou Su;Ruidong Li;Kuan Zhang

  • SIRC: A Secure Incentive Scheme for Reliable Cooperative Downloading in Highway VANETs

    Chengzhe Lai;Kuan Zhang;Nan Cheng;Hui Li

  • Adaptive and Channel-Aware Detection of Selective Forwarding Attacks in Wireless Sensor Networks

    Ju Ren;Yaoxue Zhang;Kuan Zhang;Xuemin Shen

  • PHDA: A priority based health data aggregation with privacy preservation for cloud assisted WBANs

    Kuan Zhang;Xiaohui Liang;Mrinmoy Baura;Rongxing Lu

  • A Secure and Verifiable Data Sharing Scheme Based on Blockchain in Vehicular Social Networks

    Kai Fan;Qiang Pan;Kuan Zhang;Yuhan Bai

  • Federated Learning With Fair Incentives and Robust Aggregation for UAV-Aided Crowdsensing

    Unknown

  • An AUV-Assisted Data Gathering Scheme Based on Clustering and Matrix Completion for Smart Ocean

    Mingfeng Huang;Kuan Zhang;Zhiwen Zeng;Tian Wang

  • QTSAC: An Energy-Efficient MAC Protocol for Delay Minimization in Wireless Sensor Networks

    Yuxin Liu;Kaoru Ota;Kuan Zhang;Ming Ma

  • Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

    Lei Lei;Yue Tan;Kan Zheng;Shiwen Liu

Frequent Co-Authors

Xuemin Shen
Xuemin Shen University of Waterloo
Zhou Su
Zhou Su Xi'an Jiaotong University
Jianbing Ni
Jianbing Ni Queen's University
Xiaohui Liang
Xiaohui Liang University of Massachusetts Boston
Kan Zheng
Kan Zheng Beijing University of Posts and Telecommunications
Rongxing Lu
Rongxing Lu Queen's University
Xiaodong Lin
Xiaodong Lin University of Guelph
Ju Ren
Ju Ren Tsinghua University
Ning Zhang
Ning Zhang University of Windsor
Yi Qian
Yi Qian University of Nebraska–Lincoln

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