World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
8334
World Ranking
8262
National Ranking
81

Xiaoming Hu 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 Xiaoming Hu 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: 284 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Xiaoming Hu 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 Xiaoming Hu 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: 37 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Xiaoming Hu is affiliated with the Royal Institute of Technology in Sweden. Their research primarily spans the fields of Engineering and Computer Science, with a focus on specialized subfields including Control and Systems Engineering, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, and Neurology.

Their work covers several main topics, such as:

  • Neuroinflammation and Neurodegeneration Mechanisms
  • Distributed Control Multi-Agent Systems
  • Adaptive Control of Nonlinear Systems
  • Advanced Control Systems Optimization
  • Target Tracking and Data Fusion in Sensor Networks
  • Neural Networks Stability and Synchronization
  • Nonlinear Dynamics and Pattern Formation

The scientist has contributed frequently to various publication venues including:

  • arXiv (Cornell University)
  • UNC Libraries
  • Automatica
  • Control Theory and Technology
  • SSRN Electronic Journal

Some of their notable recent papers include:

  • "Chromosome-level genome of Camellia lanceoleosa provides a valuable resource for understanding genome evolution and self-incompatibility," 2022, The Plant Journal
  • "Fixed-time safe tracking control of uncertain high-order nonlinear pure-feedback systems via unified transformation functions," 2023, Kybernetika
  • "Modeling and Simulation of Crowd Evacuation With Signs at Subway Platform: A Case Study of Beijing Subway Stations," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Design of Smart Unstaffed Retail Shop Based on IoT and Artificial Intelligence," 2020, IEEE Access
  • "Continuous-time inverse quadratic optimal control problem," 2020, Automatica

Xiaoming Hu has collaborated frequently with co-authors such as:

  • Yibei Li
  • Jau-Shyong Hong
  • Bo Wahlberg
  • Zhuo Zou
  • Qian Li

Best Publications

  • Formation constrained multi-agent control

    M. Egerstedt;Xiaoming Hu

  • A control Lyapunov function approach to multiagent coordination

    P. Ogren;M. Egerstedt;Xiaoming Hu

  • A control Lyapunov function approach to multi-agent coordination

    P. Ogren;M. Egerstedt;X. Hu

  • Drift-free attitude estimation for accelerated rigid bodies

    Henrik Rehbinder;Xiaoming Hu

  • Control of mobile platforms using a virtual vehicle approach

    M. Egerstedt;X. Hu;A. Stotsky

  • Consensus of multi-agent linear dynamic systems†

    Jinhuan Wang;Daizhan Cheng;Xiaoming Hu

  • An Extension of LaSalle's Invariance Principle and Its Application to Multi-Agent Consensus

    Daizhan Cheng;Jinhuan Wang;Xiaoming Hu

  • Guided crowd dynamics via modified social force model

    Xiaoxia Yang;Hairong Dong;Qianling Wang;Yao Chen

  • Brief A hybrid control approach to action coordination for mobile robots

    Magnus Egerstedt;Xiaoming Hu

  • Brief paper: An optimization approach to adaptive Kalman filtering

    Maja Karasalo;Xiaoming Hu

  • Distributed attitude synchronization control of multi-agent systems with switching topologies

    Johan Thunberg;Wenjun Song;Eduardo Montijano;Yiguang Hong

  • Modeling and simulating for congestion pedestrian evacuation with panic

    Jinhuan Wang;Lei Zhang;Qiongyu Shi;Peng Yang

  • Brief paper: Sufficient conditions for connectivity maintenance and rendezvous in leader-follower networks

    Tove Gustavi;Dimos V. Dimarogonas;Magnus Egerstedt;Xiaoming Hu

  • Path planning and navigation of mobile robots in unknown environments

    T. Ersson;Xiaoming Hu

  • Observer-Based Leader-Following Formation Control Using Onboard Sensor Information

    T. Gustavi;Xiaoming Hu

  • Multi-robot tracking of a moving object using directional sensors

    M. Mazo;A. Speranzon;K.H. Johansson;Xiaoming Hu

  • Opinion consensus of modified Hegselmann-Krause models

    Yuecheng Yang;Dimos V. Dimarogonas;Xiaoming Hu

  • Consensus and formation control on S E ( 3 ) for switching topologies

    Johan Thunberg;Jorge Goncalves;Xiaoming Hu

  • Analysis and Design of Nonlinear Control Systems

    Dai-Zhan Cheng;Xiaoming Hu;Tielong Shen

  • A hybrid control approach to action coordination for mobile robots

    M. Egerstedt;X. Hu;A. Stotsky

  • Formation Constrained Multi-Agent Control

    Unknown

  • An optimization approach to adaptive Kalman filtering

    Maja Karasalo;Xiaoming Hu

Frequent Co-Authors

Daizhan Cheng
Daizhan Cheng Chinese Academy of Sciences
Magnus Egerstedt
Magnus Egerstedt University of North Carolina at Chapel Hill
Yiguang Hong
Yiguang Hong Chinese Academy of Sciences
Tielong Shen
Tielong Shen Sophia University
Dimos V. Dimarogonas
Dimos V. Dimarogonas Royal Institute of Technology
Xiaofan Wang
Xiaofan Wang Shanghai University
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Danica Kragic
Danica Kragic Royal Institute of Technology
Li-Rong Zheng
Li-Rong Zheng Fudan University
Zhuo Zou
Zhuo Zou Fudan University

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