World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
10458
World Ranking
2867
National Ranking
574

Qinglai Guo 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 Qinglai Guo 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: 351 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Qinglai Guo 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 Qinglai Guo 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Qinglai Guo is affiliated with Tsinghua University in China and specializes in the field of Engineering with a focus on Electrical and Electronic Engineering. Their research spans several subfields including Control and Systems Engineering, Automotive Engineering, Computer Networks and Communications, and Safety, Risk, Reliability and Quality.

The scientist's body of work prominently addresses topics related to Smart Grid Energy Management, Integrated Energy Systems Optimization, Optimal Power Flow Distribution, Electric Vehicles and Infrastructure, Power System Optimization and Stability, Microgrid Control and Optimization, and Electric Power System Optimization.

Among recent papers authored by Qinglai Guo are the following publications:

  • "Resilience of renewable power systems under climate risks," 2024, Nature Reviews Electrical Engineering
  • "On the resilience of modern power systems: A comprehensive review from the cyber-physical perspective," 2021, Renewable and Sustainable Energy Reviews
  • "Statistical Machine Learning Model for Stochastic Optimal Planning of Distribution Networks Considering a Dynamic Correlation and Dimension Reduction," 2020, IEEE Transactions on Smart Grid
  • "A conditional value-at-risk based planning model for integrated energy system with energy storage and renewables," 2021, Applied Energy
  • "A Coordinated Reconfiguration Strategy for Multi-Stage Resilience Enhancement in Integrated Power Distribution and Heating Networks," 2022, IEEE Transactions on Smart Grid

The scientist has collaborated frequently with several coauthors throughout their career. Notable frequent coauthors include Hongbin Sun, Xinwei Shen, Luo Xu, Yanzhen Zhou, and Bin Wang.

Qinglai Guo's research is published extensively in key venues related to power systems and energy. Notable publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Power Systems
  • IEEE Transactions on Smart Grid
  • Applied Energy
  • 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)

Best Publications

  • Review of Challenges and Research Opportunities for Voltage Control in Smart Grids

    Hongbin Sun;Qinglai Guo;Junjian Qi;Venkataramana Ajjarapu

  • Interactions of district electricity and heating systems considering time-scale characteristics based on quasi-steady multi-energy flow

    Zhaoguang Pan;Qinglai Guo;Hongbin Sun

  • Master–Slave-Splitting Based Distributed Global Power Flow Method for Integrated Transmission and Distribution Analysis

    Hongbin Sun;Qinglai Guo;Boming Zhang;Ye Guo

  • Cyber-Physical Modeling and Cyber-Contingency Assessment of Hierarchical Control Systems

    Shujun Xin;Qinglai Guo;Hongbin Sun;Boming Zhang

  • Feasible region method based integrated heat and electricity dispatch considering building thermal inertia

    Zhaoguang Pan;Qinglai Guo;Hongbin Sun

  • A Distributionally Robust Optimization Model for Unit Commitment Based on Kullback–Leibler Divergence

    Yuwei Chen;Qinglai Guo;Hongbin Sun;Zhengshuo Li

  • Rapid-Charging Navigation of Electric Vehicles Based on Real-Time Power Systems and Traffic Data

    Qinglai Guo;Shujun Xin;Hongbin Sun;Zhengshuo Li

  • Coordinated economic dispatch of coupled transmission and distribution systems using heterogeneous decomposition

    Zhengshuo Li;Qinglai Guo;Hongbin Sun;Jianhui Wang

  • Coordinated Transmission and Distribution AC Optimal Power Flow

    Zhengshuo Li;Qinglai Guo;Hongbin Sun;Jianhui Wang

  • A generalized quasi-dynamic model for electric-heat coupling integrated energy system with distributed energy resources

    Unknown

  • An interval gas flow analysis in natural gas and electricity coupled networks considering the uncertainty of wind power

    Zheng Qiao;Qinglai Guo;Hongbin Sun;Zhaoguang Pan

  • An adaptive zone division based automatic voltage control system with applications in China

    Hongbin Sun;Qinglai Guo;Boming Zhang;Wenchuan Wu

  • Sufficient Conditions for Exact Relaxation of Complementarity Constraints for Storage-Concerned Economic Dispatch

    Zhengshuo Li;Qinglai Guo;Hongbin Sun;Jianhui Wang

  • Two-stage robust planning-operation co-optimization of energy hub considering precise energy storage economic model

    Cong Chen;Hongbin Sun;Xinwei Shen;Ye Guo

  • On the resilience of modern power systems: A comprehensive review from the cyber-physical perspective

    Luo Xu;Qinglai Guo;Yujie Sheng;S.M. Muyeen

  • A novel data-driven approach for transient stability prediction of power systems considering the operational variability

    Yanzhen Zhou;Qinglai Guo;Hongbin Sun;Zhihong Yu

  • Dynamic Economic Dispatch Using Lagrangian Relaxation With Multiplier Updates Based on a Quasi-Newton Method

    Zhigang Li;Wenchuan Wu;Boming Zhang;Hongbin Sun

  • Statistical Machine Learning Model for Stochastic Optimal Planning of Distribution Networks Considering a Dynamic Correlation and Dimension Reduction

    Xueqian Fu;Qinglai Guo;Hongbin Sun

  • Reducing Generation Uncertainty by Integrating CSP With Wind Power: An Adaptive Robust Optimization-Based Analysis

    Runze Chen;Hongbin Sun;Qinglai Guo;Zhigang Li

  • A conditional value-at-risk based planning model for integrated energy system with energy storage and renewables

    Ang Xuan;Xinwei Shen;Qinglai Guo;Hongbin Sun

  • Distributed Model Predictive Control of a Wind Farm for Optimal Active Power ControlPart II: Implementation With Clustering-Based Piece-Wise Affine Wind Turbine Model

    Haoran Zhao;Qiuwei Wu;Qinglai Guo;Hongbin Sun

  • Integrated Energy Management System: Concept, Design, and Demonstration in China

    Hongbin Sun;Qinglai Guo;Boming Zhang;Wenchuan Wu

  • Distributed Model Predictive Control of a Wind Farm for Optimal Active Power ControlPart I: Clustering-Based Wind Turbine Model Linearization

    Haoran Zhao;Qiuwei Wu;Qinglai Guo;Hongbin Sun

  • Coordinated Voltage Control of a Wind Farm Based on Model Predictive Control

    Haoran Zhao;Qiuwei Wu;Qinglai Guo;Hongbin Sun

Frequent Co-Authors

Hongbin Sun
Hongbin Sun Tsinghua University
Boming Zhang
Boming Zhang Tsinghua University
Wenchuan Wu
Wenchuan Wu Tsinghua University
Jianhui Wang
Jianhui Wang Southern Methodist University
Tao Ding
Tao Ding Xi'an Jiaotong University
Qiuwei Wu
Qiuwei Wu Technical University of Denmark
Bin Wang
Bin Wang University of Hawaii at Manoa
Rui Bo
Rui Bo Missouri University of Science and Technology
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Fangxing Li
Fangxing Li University of Tennessee at Knoxville

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