World's Best Scientists 2026 revealed!
Chongqing Kang

Chongqing Kang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 91 287 280 45 45 392 26508

Chongqing Kang publications per year

The chart shows the history of publications by Chongqing Kang between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chongqing Kang published across 29 years, from 1997 to 2025, averaging 16.3 papers a year. Output peaked at 64 publications in 2020. 68 of the 472 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 64. Peak 64 publications in 2020. 1997: 2 publications 1998: 1 publication 1999: 0 publications 2000: 2 publications 2001: 0 publications 2002: 2 publications 2003: 0 publications 2004: 1 publication 2005: 3 publications 2006: 0 publications 2007: 4 publications 2008: 2 publications 2009: 3 publications 2010: 9 publications 2011: 13 publications 2012: 6 publications 2013: 13 publications 2014: 12 publications 2015: 26 publications 2016: 34 publications 2017: 37 publications 2018: 35 publications 2019: 59 publications 2020: 64 publications 2021: 35 publications 2022: 22 publications 2023: 19 publications 2024: 27 publications 2025: 41 publications
1997 2025

472 publications in total across all disciplines

View publications per year as a table
Chongqing Kang: publications per year, 1997 to 2025
Year Publications
1997 2
1998 1
1999 0
2000 2
2001 0
2002 2
2003 0
2004 1
2005 3
2006 0
2007 4
2008 2
2009 3
2010 9
2011 13
2012 6
2013 13
2014 12
2015 26
2016 34
2017 37
2018 35
2019 59
2020 64
2021 35
2022 22
2023 19
2024 27
2025 41
Total 472
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Chongqing Kang publications per year - data summary

  • Chongqing Kang, a Electronics and Electrical Engineering scholar from Tsinghua University, has 472 publications recorded across 29 years, from 1997 to 2025.
  • The oldest publication on record dates to 1997 and the most recent to 2025.
  • The most productive year is 2020, with 64 publications.
  • The least productive years with any output are 1998 and 2004, with 1 publication each.
  • 4 of the 29 years in the span carry no publications at all (1999, 2001, 2003 and 2006).
  • The rate of publication averages 16.3 papers per year over the whole span, or 18.9 per year counting only the 25 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 144 publications, 31% of the career total.
  • Split into equal eras - 1997-2006: 11 publications (1.1 per year); 2007-2016: 122 publications (12.2 per year); 2017-2025: 339 publications (37.7 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 374–393 publications, is where this scientist sits. 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: 445 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187 392
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Chongqing Kang publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Chongqing Kang, a Electronics and Electrical Engineering scholar from Tsinghua University, records 392 publications - the 73rd percentile of the discipline.
  • 73% of ranked Electronics and Electrical Engineering scientists score the same or lower than Chongqing Kang, and about 27% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Chongqing Kang ranks above the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 91 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7 91
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Chongqing Kang, a Electronics and Electrical Engineering scholar from Tsinghua University, records 91 D-Index - the 96th percentile of the discipline.
  • 96% of ranked Electronics and Electrical Engineering scientists score the same or lower than Chongqing Kang, and about 4% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Chongqing Kang ranks above the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 111 D-Index or more, 96 scientists in all (1% of the field).

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
Ning Zhang
Ning Zhang Tsinghua University
Haiwang Zhong
Haiwang Zhong Tsinghua University
Daniel S. Kirschen
Daniel S. Kirschen University of Washington
Le Xie
Le Xie Texas A&M University
Yi Ding
Yi Ding Zhejiang University
Antonio J. Conejo
Antonio J. Conejo The Ohio State University
Ram Rajagopal
Ram Rajagopal Stanford University
Anjan Bose
Anjan Bose Washington State University
Bri-Mathias Hodge
Bri-Mathias Hodge University of Colorado Boulder

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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.

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