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Yongcan Cao

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
14530
World Ranking
7149
National Ranking
1940

Yongcan Cao 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 Yongcan Cao 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: 141 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Yongcan Cao 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 Yongcan Cao 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: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Yongcan Cao is affiliated with The University of Texas at San Antonio in the United States. Their research spans multiple areas within computer science and engineering, particularly focusing on aerospace and robotics.

The primary fields of study for Yongcan Cao include:

  • Computer Science
  • Engineering

Their work extends to several subfields, such as:

  • Aerospace Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Control and Systems Engineering

The main research topics covered in Cao's publications consist of:

  • Robotic Path Planning Algorithms
  • Guidance and Control Systems
  • Distributed Control Multi-Agent Systems
  • Reinforcement Learning in Robotics
  • Spacecraft Dynamics and Control
  • Robot Manipulation and Learning
  • Evolutionary Algorithms and Applications

Yongcan Cao has authored several recent papers, including:

  • "Human-Guided Robot Behavior Learning: A GAN-Assisted Preference-Based Reinforcement Learning Approach" (2021), published in IEEE Robotics and Automation Letters
  • "Relational Maneuvering of Leader-Follower Unmanned Aerial Vehicles for Flexible Formation" (2024), published in IEEE Transactions on Cybernetics
  • "3-D Nonlinear Guidance Law for Target Circumnavigation" (2022), published in IEEE Control Systems Letters
  • "Three-Dimensional Autonomous Guidance for Enclosing a Stationary Target Within Arbitrary Smooth Geometrical Shapes" (2023), published in IEEE Transactions on Aerospace and Electronic Systems
  • "Nonlinear Guidance Law for Target Enclosing with Arbitrary Smooth Shapes" (2022), published in Journal of Guidance Control and Dynamics

The venues where Cao frequently publishes are:

  • arXiv (Cornell University)
  • AIAA SCITECH 2023 Forum
  • Journal of Guidance Control and Dynamics
  • AIAA Scitech 2020 Forum
  • IEEE Robotics and Automation Letters

Frequent co-authors who collaborate with Yongcan Cao include:

  • Abhinav Sinha
  • Praveen Kumar Ranjan
  • Tao Feng
  • MingKang Wu
  • Johnathan Votion

Best Publications

  • An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination

    Yongcan Cao;Wenwu Yu;Wei Ren;Guanrong Chen

  • Distributed Coordination of Multi-agent Networks

    Wei Ren;Yongcan Cao

  • Distributed Coordination of Multi-agent Networks: Emergent Problems, Models, and Issues

    Wei Ren;Yongcan Cao

  • Autopilots for small unmanned aerial vehicles: A survey

    HaiYang Chao;YongCan Cao;YangQuan Chen

  • Distributed containment control with multiple stationary or dynamic leaders in fixed and switching directed networks

    Yongcan Cao;Wei Ren;Magnus Egerstedt

  • Distributed Coordinated Tracking With Reduced Interaction via a Variable Structure Approach

    Yongcan Cao;Wei Ren

  • Distributed Containment Control for Multiple Autonomous Vehicles With Double-Integrator Dynamics: Algorithms and Experiments

    Yongcan Cao;D Stuart;Wei Ren;Ziyang Meng

  • Leaderless and Leader-Following Consensus With Communication and Input Delays Under a Directed Network Topology

    Ziyang Meng;Wei Ren;Yongcan Cao;Zheng You

  • Decentralized finite-time sliding mode estimators and their applications in decentralized finite-time formation tracking

    Yongcan Cao;Wei Ren;Ziyang Meng

  • Optimal Linear-Consensus Algorithms: An LQR Perspective

    Yongcan Cao;Wei Ren

  • Decentralized event-triggered consensus with general linear dynamics

    Eloy Garcia;Yongcan Cao;David Wellman Casbeer

  • Distributed Coordination of Networked Fractional-Order Systems

    Yongcan Cao;Yan Li;Wei Ren;YangQuan Chen

  • Distributed Average Tracking of Multiple Time-Varying Reference Signals With Bounded Derivatives

    Fei Chen;Yongcan Cao;Wei Ren

  • Multi-vehicle coordination for double-integrator dynamics under fixed undirected/directed interaction in a sampled-data setting

    Yongcan Cao;Wei Ren

  • Decentralised event-triggered cooperative control with limited communication

    Eloy García;Yongcan Cao;Han Yu;Panos J. Antsaklis

  • Containment control with multiple stationary or dynamic leaders under a directed interaction graph

    Yongcan Cao;Wei Ren

  • Autopilots for Small Fixed-Wing Unmanned Air Vehicles: A Survey

    Haiyang Chao;Yongcan Cao;YangQuan Chen

  • Brief paper: Distributed discrete-time coordinated tracking with a time-varying reference state and limited communication

    Yongcan Cao;Wei Ren;Yan Li

  • Periodic Event-Triggered Synchronization of Linear Multi-Agent Systems With Communication Delays

    Eloy Garcia;Yongcan Cao;David W. Casbeer

  • Finite-time consensus for multi-agent networks with unknown inherent nonlinear dynamics

    Yongcan Cao;Wei Ren

  • Distributed formation control for fractional-order systems: Dynamic interaction and absolute/relative damping

    Yongcan Cao;Wei Ren

Frequent Co-Authors

Wei Ren
Wei Ren University of California, Riverside
David W. Casbeer
David W. Casbeer United States Air Force Research Laboratory
Thomas Parisini
Thomas Parisini University of Trieste
Ziyang Meng
Ziyang Meng Tsinghua University
YangQuan Chen
YangQuan Chen University of California, Merced
Marios M. Polycarpou
Marios M. Polycarpou University of Cyprus
George Yin
George Yin University of Connecticut
Guanrong Chen
Guanrong Chen City University of Hong Kong
Wenwu Yu
Wenwu Yu Southeast University
Panos J. Antsaklis
Panos J. Antsaklis University of Notre Dame

External Links

Personal website of Yongcan Cao Google Scholar page

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