World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
5622
World Ranking
5958
National Ranking
1146

Qingdong Li publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Qingdong Li sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 296 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Qingdong Li D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Qingdong Li sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 44 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Qingdong Li is a researcher affiliated with Beihang University in China, specializing in fields related to engineering and computer science. Their work spans a number of interconnected subfields, notably aerospace engineering, computer networks and communications, control and systems engineering, artificial intelligence, and public health, environmental and occupational health.

Their research extensively covers topics such as distributed control for multi-agent systems, guidance and control systems, military defense systems analysis, adaptive control of nonlinear systems, target tracking and data fusion in sensor networks, neural networks stability and synchronization, as well as mathematical and theoretical epidemiology and ecology models.

Recent publications by Qingdong Li include the following:

  • Adaptive Practical Optimal Time-Varying Formation Tracking Control for Disturbed High-Order Multi-Agent Systems, 2022, IEEE Transactions on Circuits and Systems I Regular Papers
  • Distributed sliding mode control for time-varying formation tracking of multi-UAV system with a dynamic leader, 2021, Aerospace Science and Technology
  • Cooperative guidance strategy for multiple hypersonic gliding vehicles system, 2020, Chinese Journal of Aeronautics
  • Event-Triggered formation control for time-delayed discrete-Time multi-Agent system applied to multi-UAV formation flying, 2023, Journal of the Franklin Institute
  • Time-Varying Group Formation-Containment Tracking Control for General Linear Multiagent Systems With Unknown Inputs, 2021, IEEE Transactions on Cybernetics

Their work frequently appears in several publication venues, including:

  • Journal of the Franklin Institute
  • Aerospace Science and Technology
  • IEEE Transactions on Aerospace and Electronic Systems
  • Neurocomputing
  • International Journal of Robust and Nonlinear Control

Qingdong Li collaborates regularly with several coauthors, with notable frequent collaborators being:

  • Zhang Ren
  • Xiwang Dong
  • Jianglong Yu
  • Yongzhao Hua
  • Liang Han

The body of their research comprises over 137 publications related to engineering topics and 91 publications involved in computer science. Their subfield focus reflects significant engagement across aerospace engineering and control systems, with over 80 publications in aerospace engineering and 28 in control and systems engineering.

Best Publications

  • Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery

    Jinya Su;Cunjia Liu;Matthew Coombes;Xiaoping Hu

  • Distributed Time-Varying Output Formation Tracking for Heterogeneous Linear Multiagent Systems With a Nonautonomous Leader of Unknown Input

    Yongzhao Hua;Xiwang Dong;Guoqiang Hu;Qingdong Li

  • Adaptive Practical Optimal Time-Varying Formation Tracking Control for Disturbed High-Order Multi-Agent Systems

    Unknown

  • Distributed Time-Varying Formation Robust Tracking for General Linear Multiagent Systems With Parameter Uncertainties and External Disturbances

    Yongzhao Hua;Xiwang Dong;Qingdong Li;Zheng Ren

  • Time-Varying Formation Tracking for UAV Swarm Systems With Switching Directed Topologies

    Xiwang Dong;Yangfan Li;Chuang Lu;Guoqiang Hu

  • Practical Time-Varying Formation Tracking for Second-Order Nonlinear Multiagent Systems With Multiple Leaders Using Adaptive Neural Networks

    Jianglong Yu;Xiwang Dong;Qingdong Li;Zhang Ren

  • Distributed sliding mode control for time-varying formation tracking of multi-UAV system with a dynamic leader

    Jianhua Wang;Liang Han;Xiwang Dong;Qingdong Li

  • Formation-containment control for high-order linear time-invariant multi-agent systems with time delays ☆

    Xiwang Dong;Qingdong Li;Zhang Ren;Yisheng Zhong

  • Event-Triggered formation control for time-delayed discrete-Time multi-Agent system applied to multi-UAV formation flying

    Unknown

  • Cooperative guidance strategy for multiple hypersonic gliding vehicles system

    Jianglong Yu;Xiwang Dong;Qingdong Li;Zhang Ren

  • Time-varying output formation tracking of heterogeneous linear multi-agent systems with multiple leaders and switching topologies

    Yongzhao Hua;Xiwang Dong;Xiwang Dong;Junbo Wang;Qingdong Li

  • Adaptive fault-tolerant time-varying formation tracking for multi-agent systems under actuator failure and input saturation.

    Fei Liu;Yongzhao Hua;Xiwang Dong;Qingdong Li

  • Finite-Time Time-Varying Formation Tracking for High-Order Multiagent Systems With Mismatched Disturbances

    Yongzhao Hua;Xiwang Dong;Liang Han;Qingdong Li

  • Distributed Fault-Tolerant Time-Varying Formation Control for Second-Order Multi-Agent Systems With Actuator Failures and Directed Topologies

    Yongzhao Hua;Xiwang Dong;Qingdong Li;Zhang Ren

  • Formation-containment control for second-order multi-agent systems with time-varying delays ☆

    Liang Han;Xiwang Dong;Qingdong Li;Zhang Ren

  • Event-triggered time-varying formation control for general linear multi-agent systems

    Xiaoduo Li;Xiwang Dong;Qingdong Li;Zhang Ren

  • Fully Adaptive Practical Time-Varying Output Formation Tracking for High-Order Nonlinear Stochastic Multiagent System With Multiple Leaders

    Jianglong Yu;Xiwang Dong;Qingdong Li;Jinhu Lu

  • Impact Time Consensus Cooperative Guidance Against the Maneuvering Target: Theory and Experiment

    Unknown

  • Formation-containment tracking for general linear multi-agent systems with a tracking-leader of unknown control input

    Yongzhao Hua;Xiwang Dong;Liang Han;Qingdong Li

  • Robust ${H_\infty}$ Guaranteed Cost Time-Varying Formation Tracking for High-Order Multiagent Systems With Time-Varying Delays

    Jianglong Yu;Xiwang Dong;Qingdong Li;Zhang Ren

  • Distributed fault-tolerant time-varying formation control for high-order linear multi-agent systems with actuator failures.

    Yongzhao Hua;Xiwang Dong;Qingdong Li;Zhang Ren

  • Distributed Time-Varying Formation Tracking Analysis and Design for Second-Order Multi-Agent Systems

    Xiwang Dong;Jie Xiang;Liang Han;Qingdong Li

  • Distributed Time-Varying Formation Control for Linear Swarm Systems With Switching Topologies Using an Adaptive Output-Feedback Approach

    Rui Wang;Xiwang Dong;Qingdong Li;Zhang Ren

  • Distributed Time-Varying Output Formation Control for General Linear Multiagent Systems With Directed Topology

    Rui Wang;Xiwang Dong;Qingdong Li;Zhang Ren

  • Time‐varying group formation analysis and design for general linear multi‐agent systems with directed topologies

    Xiwang Dong;Qingdong Li;Qilun Zhao;Zhang Ren

Frequent Co-Authors

Xiwang Dong
Xiwang Dong Beihang University
Guoqiang Hu
Guoqiang Hu Nanyang Technological University
Yisheng Zhong
Yisheng Zhong Tsinghua University
Gangbing Song
Gangbing Song University of Houston
Jinhu Lu
Jinhu Lu Beihang University
Xiaoping Hu
Xiaoping Hu University of California, Riverside
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Wen-Hua Chen
Wen-Hua Chen Loughborough University
Dennis S. Bernstein
Dennis S. Bernstein University of Michigan–Ann Arbor
Xiangming Xu
Xiangming Xu East Malling Research (United Kingdom)

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