World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
7318
World Ranking
7257
National Ranking
1325

Qing-Song Wu 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 Qing-Song Wu 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: 138 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Qing-Song Wu 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 Qing-Song Wu 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

Qing-Song Wu is affiliated with the University of Science and Technology of China. Their research spans several fields, primarily focusing on engineering, materials science, and dentistry. The scientist has contributed to subfields including oral surgery, materials chemistry, electrical and electronic engineering, control and systems engineering, and aerospace engineering.

Their published work covers a range of topics, notably:

  • High voltage insulation and dielectric phenomena
  • Dental radiography and imaging
  • Endodontics and root canal treatments
  • Dental implant techniques and outcomes
  • Power transformer diagnostics and insulation
  • Thermal analysis in power transmission
  • Turbomachinery performance and optimization

Qing-Song Wu's recent published papers include:

  • "Improved thermoelectric performance in PbSe-AgSbSe2 by manipulating the spin-orbit coupling effects" (2020) in Nano Energy
  • "A Path-Planning Method to Significantly Reduce Local Oscillation of Manipulators Based on Velocity Potential Field" (2023) in Sensors
  • "Autonomous Robot-Assisted Endodontic Microsurgery on First Molar in Complex Anatomical Scenarios: A Case Series" (2025) in Journal of Endodontics
  • "Influence of Typical Defects on Insulation and Gas Production Characteristics of Oil-Impregnated Paper Bushing" (2024) in IEEE Transactions on Dielectrics and Electrical Insulation
  • "Influence Analysis on Defects in Bushing Core at Grid Side of Converter Transformer" (2021) in 2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)

Frequent coauthors who have collaborated with Qing-Song Wu include:

  • Zongren Peng (3 collaborations)
  • Li-Shan Huang (2 collaborations)
  • Minting Wan (2 collaborations)
  • Xiaoxing Li (2 collaborations)
  • Siyu Li (2 collaborations)

The scientist has published multiple papers in several venues, notably:

  • 2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) with 2 papers
  • Nano Energy
  • Sensors
  • Journal of Endodontics
  • IEEE Transactions on Dielectrics and Electrical Insulation

Best Publications

  • Full velocity difference model for a car-following theory.

    Rui Jiang;Qingsong Wu;Zuojin Zhu

  • A new continuum model for traffic flow and numerical tests

    Rui Jiang;Qing-Song Wu;Zuo-Jin Zhu

  • Traffic experiment reveals the nature of car-following.

    Rui Jiang;Mao-Bin Hu;H. M. Zhang;Zi-You Gao

  • Cellular automaton model considering the velocity effect of a car on the successive car.

    Xiaobai Li;Qingsong Wu;Rui Jiang

  • On some experimental features of car-following behavior and how to model them

    Rui Jiang;Rui Jiang;Mao-Bin Hu;H.M. Zhang;H.M. Zhang;Zi-You Gao

  • Global dynamic routing for scale-free networks

    Xiang Ling;Mao-Bin Hu;Rui Jiang;Qing-Song Wu

  • Cellular automata models for synchronized traffic flow

    Rui Jiang;Qing-Song Wu

  • Method to enhance traffic capacity for scale-free networks.

    Zhe Liu;Mao-Bin Hu;Rui Jiang;Wen-Xu Wang

  • Cellular-automaton model with velocity adaptation in the framework of Kerner's three-phase traffic theory.

    Kun Gao;Rui Jiang;Shou-Xin Hu;Bing-Hong Wang

  • Honk Effect in the Two-Lane Cellular Automaton Model for Traffic Flow

    Bin Jia;Rui Jiang;Qing-Song Wu;Mao-bin Hu

  • Cellular automata model simulating traffic interactions between on-ramp and main road.

    Rui Jiang;Qing-Song Wu;Bing-Hong Wang

  • Traffic flow characteristics in a mixed traffic system consisting of ACC vehicles and manual vehicles: A hybrid modelling approach

    Yao-Ming Yuan;Rui Jiang;Mao-Bin Hu;Qing-Song Wu

  • First order phase transition from free flow to synchronized flow in a cellular automata model

    R. Jiang;Q.-S. Wu

  • Phase transition and hysteresis in scale-free network traffic.

    Mao-Bin Hu;Wen-Xu Wang;Rui Jiang;Qing-Song Wu

  • Spatial–temporal patterns at an isolated on-ramp in a new cellular automata model based on three-phase traffic theory

    Rui Jiang;Qing-Song Wu

  • Traffic behavior near an off ramp in the cellular automaton traffic model.

    Bin Jia;Bin Jia;Rui Jiang;Qing-Song Wu

  • Discontinuous transition from free flow to synchronized flow induced by short-range interaction between vehicles in a three-phase traffic flow model

    Kun Gao;Rui Jiang;Bing-Hong Wang;Qing-Song Wu

  • A new dynamics model for traffic flow

    Rui Jiang;Qingsong Wu;Zuojin Zhu

  • Stochastic multi-value cellular automata models for bicycle flow

    Rui Jiang;Bin Jia;Qing-Song Wu

  • Urban traffic from the perspective of dual graph

    Mao-Bin Hu;Mao-Bin Hu;R. Jiang;Yong-Hong Wu;W. Wang

  • Pedestrian behaviors in a lattice gas model with large maximum velocity

    Rui Jiang;Qing-Song Wu

Frequent Co-Authors

Rui Jiang
Rui Jiang Beijing Jiaotong University
Mao-Bin Hu
Mao-Bin Hu University of Science and Technology of China
Yonghong Wu
Yonghong Wu Curtin University
Bing-Hong Wang
Bing-Hong Wang University of Science and Technology of China
Katsuhiro Nishinari
Katsuhiro Nishinari University of Tokyo
Hongxing Yang
Hongxing Yang Hong Kong Polytechnic University
Weiguo Song
Weiguo Song University of Science and Technology of China
Xueqi Cheng
Xueqi Cheng Chinese Academy of Sciences
Anatoly B. Kolomeisky
Anatoly B. Kolomeisky Rice University
Dirk Helbing
Dirk Helbing ETH Zurich

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