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Qinglai Guo

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 56 2867 2742 574 573 351 10458

Qinglai Guo publications per year

The chart shows the history of publications by Qinglai Guo between 2009 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Qinglai Guo published across 18 years, from 2009 to 2026, averaging 22.7 papers a year. Output peaked at 45 publications in 2021. 17 of the 408 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2009 to 2026. Vertical axis: number of publications, 0 to 45. Peak 45 publications in 2021. 2009: 1 publication 2010: 3 publications 2011: 4 publications 2012: 12 publications 2013: 12 publications 2014: 17 publications 2015: 20 publications 2016: 24 publications 2017: 43 publications 2018: 36 publications 2019: 38 publications 2020: 38 publications 2021: 45 publications 2022: 19 publications 2023: 35 publications 2024: 44 publications 2025: 16 publications 2026: 1 publication
2009 2026

408 publications in total across all disciplines

View publications per year as a table
Qinglai Guo: publications per year, 2009 to 2026
Year Publications
2009 1
2010 3
2011 4
2012 12
2013 12
2014 17
2015 20
2016 24
2017 43
2018 36
2019 38
2020 38
2021 45
2022 19
2023 35
2024 44
2025 16
2026 1
Total 408
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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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 348–357 publications, is where this scientist sits. 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
38–47 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.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131 351
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 56 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170 56
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
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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

External Links

Personal website of Qinglai Guo

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By connecting engineering and technology with fields like business, law, human resources, and communications, students can enhance their versatility and competitiveness in an evolving job market.

Best Scientists Citing Qinglai Guo

Hongbin Sun

Hongbin Sun

Tsinghua University

Publications: 68

Qiuwei Wu

Qiuwei Wu

Technical University of Denmark

Publications: 58

Tao Ding

Tao Ding

Xi'an Jiaotong University

Publications: 28

Mohammad Shahidehpour

Mohammad Shahidehpour

Illinois Institute of Technology

Publications: 28

Wenchuan Wu

Wenchuan Wu

Tsinghua University

Publications: 28

Fangxing Li

Fangxing Li

University of Tennessee at Knoxville

Publications: 24

Wei Wei

Wei Wei

Tsinghua University

Publications: 23

Boming Zhang

Boming Zhang

Tsinghua University

Publications: 20

Venkataramana Ajjarapu

Venkataramana Ajjarapu

Iowa State University

Publications: 17

Wei Gu

Wei Gu

Philips (China)

Publications: 16

Hongjie Jia

Hongjie Jia

Tianjin University

Publications: 16

Yonghua Song

Yonghua Song

University of Macau

Publications: 15

Qun Chen

Qun Chen

Tsinghua University

Publications: 13

Zhao Yang Dong

Zhao Yang Dong

City University of Hong Kong

Publications: 13

Enrico Zio

Enrico Zio

Polytechnic University of Milan

Publications: 12

Lei Wu

Lei Wu

Stevens Institute of Technology

Publications: 11

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