World's Best Scientists 2026 revealed!
Chongqing Kang

Chongqing Kang

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
91
Citations
26508
World Ranking
287
National Ranking
44

Chongqing Kang publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Chongqing Kang sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 446 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 392 publications — 73rd percentile

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

The last bar groups every scientist with 1,065 publications or more.

Chongqing Kang D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Chongqing Kang sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 91 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to power system operation and planning in uncertain environments

Overview

Chongqing Kang is affiliated with Tsinghua University in China, focusing primarily on engineering with a specialization in electrical and electronic engineering. Their work encompasses several subfields including control and systems engineering, computer networks and communications, safety, risk, reliability and quality, as well as energy engineering and power technology.

Their recent publications demonstrate engagement with issues related to energy systems, carbon neutrality, and power system dynamics. Notable papers include "Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic" (2020, Nature Communications), "Cost increase in the electricity supply to achieve carbon neutrality in China" (2022, Nature Communications), "Modeling Frequency Dynamics in Unit Commitment With a High Share of Renewable Energy" (2020, IEEE Transactions on Power Systems), "Author Correction: Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic" (2020, Nature Communications), and "Pathway toward carbon-neutral electrical systems in China by mid-century with negative CO2 abatement costs informed by high-resolution modeling" (2021, Joule).

Frequent co-authors in their work include Ning Zhang, Qixin Chen, Hongye Guo, Haiwang Zhong, and Ershun Du.

Publication venues where Chongqing Kang has contributed regularly include:

  • IEEE Transactions on Power Systems
  • Applied Energy
  • arXiv (Cornell University)
  • IEEE Transactions on Smart Grid
  • iEnergy

Their research covers a range of main topics including:

  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Optimal Power Flow Distribution
  • Integrated Energy Systems Optimization
  • Microgrid Control and Optimization
  • Power System Optimization and Stability
  • Smart Grid Security and Resilience

Chongqing Kang's contributions are also documented in book form, with a publication titled "Cyber-Physical Virtual Power Plants: Modeling, Operation, and Control" scheduled for release by Springer Nature in 2025.

The scientist was recognized as an IEEE Fellow in 2017 for contributions to power system operation and planning in uncertain environments.

Best Publications

  • Robust Optimization-Based Resilient Distribution Network Planning Against Natural Disasters

    Wei Yuan;Jianhui Wang;Feng Qiu;Chen Chen

  • Increasing the Flexibility of Combined Heat and Power for Wind Power Integration in China: Modeling and Implications

    Xinyu Chen;Chongqing Kang;Mark O'Malley;Qing Xia

  • Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life

    Guannan He;Qixin Chen;Chongqing Kang;Pierre Pinson

  • Review and prospect of integrated demand response in the multi-energy system

    Jianxiao Wang;Haiwang Zhong;Ziming Ma;Qing Xia

  • Probabilistic individual load forecasting using pinball loss guided LSTM

    Yi Wang;Dahua Gan;Mingyang Sun;Ning Zhang

  • Carbon Emission Flow From Generation to Demand: A Network-Based Model

    Chongqing Kang;Tianrui Zhou;Qixin Chen;Jianhui Wang

  • Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications

    Yi Wang;Qixin Chen;Chongqing Kang;Qing Xia

  • A State-Independent Linear Power Flow Model with Accurate Estimation of Voltage Magnitude

    Jingwei Yang;Ning Zhang;Chongqing Kang;Qing Xia

  • Optimal Configuration Planning of Multi-Energy Systems Considering Distributed Renewable Energy

    Wujing Huang;Ning Zhang;Jingwei Yang;Yi Wang

  • A Linearized OPF Model With Reactive Power and Voltage Magnitude: A Pathway to Improve the MW-Only DC OPF

    Zhifang Yang;Haiwang Zhong;Anjan Bose;Tongxin Zheng

  • Load profiling and its application to demand response: A review

    Yi Wang;Qixin Chen;Chongqing Kang;Mingming Zhang

  • Modeling Carbon Emission Flow in Multiple Energy Systems

    Yaohua Cheng;Ning Zhang;Yi Wang;Jingwei Yang

  • A Novel Combined Data-Driven Approach for Electricity Theft Detection

    Kedi Zheng;Qixin Chen;Yi Wang;Chongqing Kang

  • From demand response to integrated demand response: review and prospect of research and application

    Wujing Huang;Ning Zhang;Chongqing Kang;Mingxuan Li

  • The Role of Concentrating Solar Power Toward High Renewable Energy Penetrated Power Systems

    Ershun Du;Ning Zhang;Bri-Mathias Hodge;Qin Wang

  • Modeling Frequency Dynamics in Unit Commitment With a High Share of Renewable Energy

    Ziyang Zhang;Ershun Du;Fei Teng;Ning Zhang

  • Modeling Conditional Forecast Error for Wind Power in Generation Scheduling

    Ning Zhang;Chongqing Kang;Qing Xia;Ji Liang

  • Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch

    Yi Wang;Ning Zhang;Zhenyu Zhuo;Chongqing Kang

  • Power Generation Expansion Planning Model Towards Low-Carbon Economy and Its Application in China

    Qixin Chen;Chongqing Kang;Qing Xia;Jin Zhong

  • Unit Commitment With Volatile Node Injections by Using Interval Optimization

    Yang Wang;Qing Xia;Chongqing Kang

  • Cooperation of Wind Power and Battery Storage to Provide Frequency Regulation in Power Markets

    Guannan He;Qixin Chen;Chongqing Kang;Qing Xia

  • Cloud energy storage for residential and small commercial consumers: A business case study

    Jingkun Liu;Jingkun Liu;Ning Zhang;Chongqing Kang;Daniel Kirschen

  • Reducing curtailment of wind electricity in China by employing electric boilers for heat and pumped hydro for energy storage

    Ning Zhang;Xi Lu;Xi Lu;Michael B. McElroy;Chris P. Nielsen

Frequent Co-Authors

Qing Xia
Qing Xia Tsinghua University
Daniel S. Kirschen
Daniel S. Kirschen University of Washington
Le Xie
Le Xie Texas A&M University
Bri-Mathias Hodge
Bri-Mathias Hodge University of Colorado Boulder
Anjan Bose
Anjan Bose Washington State University
Goran Strbac
Goran Strbac Imperial College London
Boming Zhang
Boming Zhang Tsinghua University
Saifur Rahman
Saifur Rahman Virginia Tech
Chen-Ching Liu
Chen-Ching Liu Virginia Tech
Kai Liu
Kai Liu Tsinghua University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in expanding their opportunities beyond traditional electronics and electrical engineering roles, pursuing related online degrees can be highly beneficial. For example, obtaining a project manager bachelor degree equips graduates with essential skills to oversee technical projects, an increasingly valuable asset in engineering fields.

Many working professionals find value in accelerated online degree programs for working adults. These programs provide flexibility and allow students to balance job responsibilities while advancing their education efficiently.

For those interested in educational roles within engineering or technology, pursuing a instructional design masters online can open doors to curriculum development and training positions, complementing technical expertise with pedagogical skills.

Additionally, exploring the list of competency-based colleges can help students find programs that emphasize mastering skills over traditional coursework, ideal for those seeking practical, outcome-focused education pathways in engineering and related careers.

Best Scientists Citing Chongqing Kang

Trending Scientists

Recently Published Articles