World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
17058
World Ranking
2331
National Ranking
1164

Qun 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 Qun 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: 321 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Qun 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 Qun 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.

Overview

Qun Li is a researcher affiliated with William & Mary in the United States. Their work spans primarily across the fields of Computer Science and Engineering, with significant contributions in subfields such as Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, and Information Systems.

Their research topics cover a range of areas including:

  • Privacy-Preserving Technologies in Data
  • Stochastic Gradient Optimization Techniques
  • Quantum Computing Algorithms and Architecture
  • Advanced Neural Network Applications
  • Cryptography and Data Security
  • Quantum Information and Cryptography
  • Adversarial Robustness in Machine Learning

Qun Li has published extensively in various venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Sustainability
  • Frontiers in Energy Research
  • Research Square (Research Square)

Collaboratively, Qun Li works often with a set of coauthors, notably:

  • Qi Xia
  • Zeyi Tao
  • Jindi Wu
  • Jiwei Liu
  • Sheng Zhong

Some of the recent papers authored include:

  • A survey of federated learning for edge computing: Research problems and solutions, 2021, High-Confidence Computing
  • RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields, 2020, NeuroImage
  • An empirical study of multi-scale object detection in high resolution UAV images, 2020, Neurocomputing
  • QuantumFed: A Federated Learning Framework for Collaborative Quantum Training, 2021, 2021 IEEE Global Communications Conference (GLOBECOM)
  • Assessment of urbanization impact on cultural heritage based on a risk-based cumulative impact assessment method, 2023, Heritage Science

Best Publications

  • A Survey of Fog Computing: Concepts, Applications and Issues

    Shanhe Yi;Cheng Li;Qun Li

  • Global clock synchronization in sensor networks

    Qun Li;D. Rus

  • Fog Computing: Platform and Applications

    Shanhe Yi;Zijiang Hao;Zhengrui Qin;Qun Li

  • Online power-aware routing in wireless Ad-hoc networks

    Qun Li;Javed Aslam;Daniela Rus

  • Security and Privacy Issues of Fog Computing: A Survey

    Shanhe Yi;Zhengrui Qin;Qun Li

  • Sending messages to mobile users in disconnected ad-hoc wireless networks

    Qun Li;Daniela Rus

  • Distributed algorithms for guiding navigation across a sensor network

    Qun Li;Michael De Rosa;Daniela Rus

  • IMDGuard: Securing implantable medical devices with the external wearable guardian

    Fengyuan Xu;Zhengrui Qin;Chiu C. Tan;Baosheng Wang

  • LAVEA: latency-aware video analytics on edge computing platform

    Shanhe Yi;Zijiang Hao;Qingyang Zhang;Quan Zhang

  • Outlier detection in sensor networks

    Bo Sheng;Qun Li;Weizhen Mao;Wen Jin

  • Global clock synchronization in sensor networks

    Qun Li;D. Rus

  • A survey of federated learning for edge computing: Research problems and solutions

    Qi Xia;Winson Ye;Zeyi Tao;Jindi Wu

  • Elliptic curve cryptography-based access control in sensor networks

    Haodong Wang;Bo Sheng;Qun Li

  • Secure and Serverless RFID Authentication and Search Protocols

    C.C. Tan;Bo Sheng;Qun Li

  • Challenges and Software Architecture for Fog Computing

    Zijiang Hao;Ed Novak;Shanhe Yi;Qun Li

  • Efficient implementation of public key cryptosystems on mote sensors (short paper)

    Haodong Wang;Qun Li

  • Efficient implementation of public key cryptosystems on mote sensors (short paper)

    Haodong Wang;Qun Li

  • Counting RFID Tags Efficiently and Anonymously

    Hao Han;Bo Sheng;Chiu C. Tan;Qun Li

  • Body sensor network security: an identity-based cryptography approach

    Chiu C. Tan;Haodong Wang;Sheng Zhong;Qun Li

  • How to Monitor for Missing RFID tags

    C.C. Tan;Bo Sheng;Qun Li

  • Efficient service handoff across edge servers via docker container migration

    Lele Ma;Shanhe Yi;Qun Li

  • SybilDefender: Defend against sybil attacks in large social networks

    Wei Wei;Fengyuan Xu;Chiu C. Tan;Qun Li

  • Three power-aware routing algorithms for sensor networks

    Javed A. Aslam;Qun Li;Daniela Rus

Frequent Co-Authors

Chiu C. Tan
Chiu C. Tan Temple University
Sanglu Lu
Sanglu Lu Nanjing University
Jie Wu
Jie Wu Temple University
Xiaodong Zhang
Xiaodong Zhang The Ohio State University
Haining Wang
Haining Wang Virginia Tech
Javed A. Aslam
Javed A. Aslam Northeastern University
Yongguang Zhang
Yongguang Zhang Microsoft Research Asia (China)
Sheng Zhong
Sheng Zhong Nanjing University
Weisong Shi
Weisong Shi Wayne State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science often opens up doors to numerous related fields, especially with the rise of flexible online education. Beyond computer science, students can consider options like earning a cheapest online physics degree to broaden their analytical and scientific skill sets. This path can be especially valuable for those interested in interdisciplinary tech careers or roles requiring strong quantitative skills.

Another popular choice is pursuing a data scientist degree. With data-driven innovation fueling countless industries, professionals with data science expertise are in high demand, offering rewarding salaries and dynamic career prospects.

For students leaning toward hardware and design, enrolling in online electrical engineering courses USA can serve as a strong complement to a computer science background—or as a specialized new track.

If you're looking to quickly boost your credentials, consider exploring easy certifications to get that can lead to high-paying roles in tech. These certifications provide fast, practical ways to gain workforce-ready skills and enhance your resume.

Best Scientists Citing Qun Li

Trending Scientists