World's Best Scientists 2026 revealed!
Guoqiang Sun

Guoqiang Sun

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
6115
World Ranking
6659
National Ranking
1238

Guoqiang Sun 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 Guoqiang Sun 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: 240 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Guoqiang Sun 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 Guoqiang Sun 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: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Guoqiang Sun is affiliated with Hohai University in China and has contributed extensively to the field of engineering, with a primary focus on electrical and electronic engineering. Their research encompasses subfields such as control and systems engineering, artificial intelligence, renewable energy, sustainability and the environment, and mechanical engineering.

The main topics of Guoqiang Sun's work include:

  • Smart Grid Energy Management
  • Energy Load and Power Forecasting
  • Solar Radiation and Photovoltaics
  • Integrated Energy Systems Optimization
  • Optimal Power Flow Distribution
  • Electric Power System Optimization
  • Electric Vehicles and Infrastructure

Sun has published extensively in various scientific journals and conferences. The most frequent publication venues include:

  • SSRN Electronic Journal
  • IEEE Transactions on Sustainable Energy
  • Renewable Energy
  • IEEE Transactions on Power Systems
  • International Journal of Electrical Power & Energy Systems

Some of the recent papers authored or coauthored by Guoqiang Sun are:

  • Short-term global horizontal irradiance forecasting based on a hybrid CNN-LSTM model with spatiotemporal correlations, 2020, Renewable Energy
  • Residential load forecasting based on LSTM fusing self-attention mechanism with pooling, 2021, Energy
  • A Transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecasting, 2023, Applied Energy
  • Multi-Meteorological-Factor-Based Graph Modeling for Photovoltaic Power Forecasting, 2021, IEEE Transactions on Sustainable Energy
  • Resilience-oriented planning of integrated electricity and heat systems: A stochastic distributionally robust optimization approach, 2023, Applied Energy

Guoqiang Sun collaborates frequently with several researchers. The most common coauthors are:

  • Zhinong Wei
  • Haixiang Zang
  • Sheng Chen
  • Lilin Cheng
  • Yizhou Zhou

Best Publications

  • Short-term global horizontal irradiance forecasting based on a hybrid CNN-LSTM model with spatiotemporal correlations

    Haixiang Zang;Ling Liu;Li Sun;Lilin Cheng

  • Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning

    Haixiang Zang;Lilin Cheng;Tao Ding;Kwok W. Cheung

  • Hybrid method for short-term photovoltaic power forecasting based on deep convolutional neural network

    Haixiang Zang;Lilin Cheng;Tao Ding;Kwok W. Cheung

  • Direct-Current Predictive Control Strategy for Inhibiting Commutation Failure in HVDC Converter

    Zhinong Wei;Yang Yuan;Xiao Lei;Huawei Wang

  • Residential load forecasting based on LSTM fusing self-attention mechanism with pooling

    Haixiang Zang;Ruiqi Xu;Lilin Cheng;Tao Ding

  • A robust optimization approach for integrated community energy system in energy and ancillary service markets

    Yizhou Zhou;Zhinong Wei;Guoqiang Sun;Kwok W. Cheung

  • Multi-Linear Probabilistic Energy Flow Analysis of Integrated Electrical and Natural-Gas Systems

    Sheng Chen;Zhinong Wei;Guoqiang Sun;Kwok W. Cheung

  • Optimal Power and Semi-Dynamic Traffic Flow in Urban Electrified Transportation Networks

    Si Lv;Zhinong Wei;Guoqiang Sun;Sheng Chen

  • A Transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecasting

    Unknown

  • A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks

    Guoqiang Sun;Tong Chen;Zhinong Wei;Yonghui Sun

  • Distributionally Robust Unit Commitment in Coordinated Electricity and District Heating Networks

    Yizhou Zhou;Mohammad Shahidehpour;Zhinong Wei;Zhiyi Li

  • Application of functional deep belief network for estimating daily global solar radiation: A case study in China

    Haixiang Zang;Lilin Cheng;Tao Ding;Kwok W. Cheung

  • A FAST PARTICLE SWARM OPTIMIZATION

    Zhihua Cui;Jianchao Zeng;Guoji Sun

  • Convex Hull Based Robust Security Region for Electricity-Gas Integrated Energy Systems

    Sheng Chen;Zhinong Wei;Guoqiang Sun;Wei Wei

  • Adaptive Robust Day-Ahead Dispatch for Urban Energy Systems

    Sheng Chen;Zhinong Wei;Guoqiang Sun;Kwok W. Cheung

  • Resilience-oriented planning of integrated electricity and heat systems: A stochastic distributionally robust optimization approach

    Unknown

  • Multi-period integrated natural gas and electric power system probabilistic optimal power flow incorporating power-to-gas units

    Guoqiang Sun;Shuang Chen;Zhinong Wei;Sheng Chen

  • Robust H U+221E load frequency control of multi-area power system with time delay: a sliding mode control approach

    Yonghui Sun;Yingxuan Wang;Zhinong Wei;Guoqiang Sun

  • Multi-Meteorological-Factor-Based Graph Modeling for Photovoltaic Power Forecasting

    Lilin Cheng;Haixiang Zang;Tao Ding;Zhinong Wei

  • Ensemble Recurrent Neural Network Based Probabilistic Wind Speed Forecasting Approach

    Lilin Cheng;Haixiang Zang;Tao Ding;Rong Sun

  • Distributionally Robust Co-Optimization of Energy and Reserve for Combined Distribution Networks of Power and District Heating

    Yizhou Zhou;Mohammad Shahidehpour;Zhinong Wei;Zhiyi Li

  • Short term Solar Photovoltaic Power Prediction Learning Directly from Satellite Images with Regions of Interest

    Lilin Cheng;Haixiang Zang;Zhinong Wei;Tao Ding

  • Optimal Tilt Angle and Orientation of Photovoltaic Modules Using HS Algorithm in Different Climates of China

    Mian Guo;Haixiang Zang;Shengyu Gao;Tingji Chen

  • Robust H∞ load frequency control of delayed multi-area power system with stochastic disturbances

    Yonghui Sun;Ning Li;Xuemao Zhao;Zhinong Wei

  • Identifying Optimal Energy Flow Solvability in Electricity-Gas Integrated Energy Systems

    Sheng Chen;Zhinong Wei;Guoqiang Sun;Kwok W. Cheung

Frequent Co-Authors

Zhinong Wei
Zhinong Wei Hohai University
Tao Ding
Tao Ding Xi'an Jiaotong University
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Junbo Zhao
Junbo Zhao University of Connecticut
Yan Xu
Yan Xu Nanyang Technological University
Zhiyi Li
Zhiyi Li Zhejiang University
Ferdinanda Ponci
Ferdinanda Ponci RWTH Aachen University
Jinde Cao
Jinde Cao Southeast University
Ping Ju
Ping Ju Hohai University
Rabih A. Jabr
Rabih A. Jabr American University of Beirut

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