World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
11010
World Ranking
4353
National Ranking
579

Minglu 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 Minglu 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: 490 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Minglu 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 Minglu 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Minglu Li is affiliated with Zhejiang Normal University in China and has focused their research primarily in the field of Computer Science. Their work spans several subfields including Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing, Information Systems, and Aerospace Engineering.

Key topics explored by Minglu Li encompass:

  • Caching and Content Delivery
  • Peer-to-Peer Network Technologies
  • IoT and Edge/Fog Computing
  • Data Management and Algorithms
  • Human Mobility and Location-Based Analysis
  • Network Security and Intrusion Detection
  • IoT Networks and Protocols

The scientist has published research in a variety of venues, with multiple papers appearing in:

  • IEEE Transactions on Mobile Computing
  • IEEE Internet of Things Journal
  • SSRN Electronic Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • The Science of The Total Environment

Some representative recent publications from Minglu Li include:

  • LeaD: Large-Scale Edge Cache Deployment Based on Spatio-Temporal WiFi Traffic Statistics (2020, IEEE Transactions on Mobile Computing)
  • Intelligent Jamming Defense Using DNN Stackelberg Game in Sensor Edge Cloud (2021, IEEE Internet of Things Journal)
  • CampEdge: Distributed Computation Offloading Strategy Under Large-Scale AP-Based Edge Computing System for IoT Applications (2020, IEEE Internet of Things Journal)
  • Detecting Taxi Trajectory Anomaly Based on Spatio-Temporal Relations (2021, IEEE Transactions on Intelligent Transportation Systems)
  • Insights into carbon isotope fractionation on trichloroethene degradation in base activated persulfate process: The role of multiple reactive oxygen species (2021, The Science of The Total Environment)

Frequent collaborators contributing to the body of work alongside Minglu Li include:

  • Guangtao Xue
  • Shiyou Qian
  • Jian Cao
  • Zhonglong Zheng
  • Tianchen Ding

Best Publications

  • Passive diagnosis for wireless sensor networks

    Kebin Liu;Mo Li;Yunhao Liu;Minglu Li

  • Recognizing Exponential Inter-Contact Time in VANETs

    Hongzi Zhu;Luoyi Fu;Guangtao Xue;Yanmin Zhu

  • Performance Evaluation of Vehicle-Based Mobile Sensor Networks for Traffic Monitoring

    Xu Li;Wei Shu;Minglu Li;Hong-Yu Huang

  • Target-Oriented Scheduling in Directional Sensor Networks

    Yanli Cai;Wei Lou;Minglu Li;Xiang-Yang Li

  • Towards mobility-based clustering

    Siyuan Liu;Yunhuai Liu;Lionel M. Ni;Jianping Fan

  • Toward Secure Multikeyword Top-k Retrieval over Encrypted Cloud Data

    Jiadi Yu;Peng Lu;Yanmin Zhu;Guangtao Xue

  • POST: Exploiting Dynamic Sociality for Mobile Advertising in Vehicular Networks

    Jun Qin;Hongzi Zhu;Yanmin Zhu;Li Lu

  • A Compressive Sensing Approach to Urban Traffic Estimation with Probe Vehicles

    Yanmin Zhu;Zhi Li;Hongzi Zhu;Minglu Li

  • Performance Evaluation of SUVnet With Real-Time Traffic Data

    Hong-Yu Huang;Pei-En Luo;Minglu Li;Da Li

  • An overview of using directional antennas in wireless networks

    Hong-Ning Dai;Hong-Ning Dai;Kam-Wing Ng;Minglu Li;Min-You Wu

  • Energy-efficient connected coverage of discrete targets in wireless sensor networks

    Mingming Lu;Jie Wu;Mihaela Cardei;Minglu Li

  • Scan-Based Movement-Assisted Sensor Deployment Methods in Wireless Sensor Networks

    Shuhui Yang;Minglu Li;Jie Wu

  • SenSpeed: Sensing Driving Conditions to Estimate Vehicle Speed in Urban Environments

    Jiadi Yu;Hongzi Zhu;Haofu Han;Yingying Jennifer Chen

  • Energy Efficient Target-Oriented Scheduling in Directional Sensor Networks

    Yanli Cai;Wei Lou;Minglu Li;Xiang-Yang Li

  • A Distance-Based Directional Broadcast Protocol for Urban Vehicular Ad Hoc Network

    Da Li;Hongyu Huang;Xu Li;Minglu Li

  • SenSpeed: Sensing driving conditions to estimate vehicle speed in urban environments

    Haofu Han;Jiadi Yu;Hongzi Zhu;Yingying Chen

  • Characterizing Urban Vehicle-to-Vehicle Communications for Reliable Safety Applications

    Feng Lyu;Hongzi Zhu;Nan Cheng;Haibo Zhou

  • Reliable Anchor-Based Sensor Localization in Irregular Areas

    Bin Xiao;Lin Chen;Qingjun Xiao;Minglu Li

  • Fine-Grained Abnormal Driving Behaviors Detection and Identification with Smartphones

    Jiadi Yu;Zhongyang Chen;Yanmin Zhu;Yingying Jennifer Chen

  • D 3 : Abnormal driving behaviors detection and identification using smartphone sensors

    Zhongyang Chen;Jiadi Yu;Yanmin Zhu;Yingying Chen

  • Compressive Sensing Approach to Urban Traffic Sensing

    Zhi Li;Yanmin Zhu;Hongzi Zhu;Minglu Li

Frequent Co-Authors

Yanmin Zhu
Yanmin Zhu Shanghai Jiao Tong University
Jiadi Yu
Jiadi Yu Shanghai Jiao Tong University
Min-You Wu
Min-You Wu Shanghai Jiao Tong University
Hongzi Zhu
Hongzi Zhu Shanghai Jiao Tong University
Yingying Chen
Yingying Chen Rutgers, The State University of New Jersey
Minyi Guo
Minyi Guo Shanghai Jiao Tong University
Lionel M. Ni
Lionel M. Ni Hong Kong University of Science and Technology (Guangzhou)
Xuemin Shen
Xuemin Shen University of Waterloo
Linghe Kong
Linghe Kong Shanghai Jiao Tong University
Nan Cheng
Nan Cheng Xidian University

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