Chongqing Kang

27.9k total citations · 9 hit papers
400 papers, 20.0k citations indexed

About

Chongqing Kang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Chongqing Kang has authored 400 papers receiving a total of 20.0k indexed citations (citations by other indexed papers that have themselves been cited), including 351 papers in Electrical and Electronic Engineering, 86 papers in Control and Systems Engineering and 76 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Chongqing Kang's work include Electric Power System Optimization (159 papers), Smart Grid Energy Management (117 papers) and Optimal Power Flow Distribution (109 papers). Chongqing Kang is often cited by papers focused on Electric Power System Optimization (159 papers), Smart Grid Energy Management (117 papers) and Optimal Power Flow Distribution (109 papers). Chongqing Kang collaborates with scholars based in China, United States and United Kingdom. Chongqing Kang's co-authors include Qing Xia, Ning Zhang, Qixin Chen, Yi Wang, Haiwang Zhong, Jingwei Yang, Ershun Du, Daniel S. Kirschen, Jianxiao Wang and Tao Hong and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Chongqing Kang

382 papers receiving 19.5k citations

Hit Papers

Review of Smart Meter Dat... 2014 2026 2018 2022 2018 2014 2016 2017 2015 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chongqing Kang 17.3k 5.8k 2.4k 1.6k 1.6k 400 20.0k
Goran Štrbac 19.8k 1.1× 8.6k 1.5× 2.0k 0.8× 2.1k 1.3× 2.0k 1.3× 637 22.4k
Jianhui Wang 28.5k 1.6× 14.7k 2.5× 1.8k 0.8× 1.7k 1.1× 3.3k 2.1× 484 33.6k
Zhao Yang Dong 24.4k 1.4× 13.0k 2.2× 2.4k 1.0× 1.7k 1.1× 2.0k 1.3× 711 30.7k
Ning Zhang 10.1k 0.6× 3.6k 0.6× 1.8k 0.7× 928 0.6× 871 0.6× 372 12.0k
Behnam Mohammadi‐Ivatloo 16.6k 1.0× 7.4k 1.3× 3.1k 1.3× 1.6k 1.0× 704 0.5× 493 19.4k
Pierluigi Siano 19.0k 1.1× 11.5k 2.0× 1.4k 0.6× 2.2k 1.4× 1.1k 0.7× 716 23.1k
Antonio J. Conejo 24.4k 1.4× 5.3k 0.9× 968 0.4× 1.9k 1.2× 3.3k 2.1× 351 27.0k
Qing Xia 10.5k 0.6× 3.5k 0.6× 1.4k 0.6× 993 0.6× 934 0.6× 298 12.1k
Yonghua Song 14.5k 0.8× 5.6k 1.0× 1.6k 0.6× 1.3k 0.8× 1.1k 0.7× 529 17.1k
João P. S. Catalào 24.9k 1.4× 10.2k 1.8× 2.7k 1.1× 3.2k 2.1× 881 0.6× 933 29.4k

Countries citing papers authored by Chongqing Kang

Since Specialization
Citations

This map shows the geographic impact of Chongqing Kang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chongqing Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chongqing Kang more than expected).

Fields of papers citing papers by Chongqing Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chongqing Kang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chongqing Kang. The network helps show where Chongqing Kang may publish in the future.

Co-authorship network of co-authors of Chongqing Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Chongqing Kang. A scholar is included among the top collaborators of Chongqing Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chongqing Kang. Chongqing Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Du, Ershun, et al.. (2025). Evaluating the Dispatchable Capacity of Cross-Regional Data Center Clusters Toward Power System Operation. IEEE Transactions on Smart Grid. 17(2). 1180–1193.
3.
Fang, Yuchen, Ershun Du, Haiyang Jiang, et al.. (2024). Electric energy system planning considering chronological renewable generation variability and uncertainty. Applied Energy. 373. 123961–123961. 15 indexed citations
4.
Zhang, Xi, et al.. (2024). Strategic dispatch of electric buses for resilience enhancement of urban energy systems. Applied Energy. 361. 122897–122897. 13 indexed citations
5.
Yong, Pei, Zhifang Yang, Haiyang Jiang, Ning Zhang, & Chongqing Kang. (2024). Scheduling IDC-based virtual power plants considering backup power. Electric Power Systems Research. 234. 110673–110673.
6.
Yan, Lei, et al.. (2024). A Market-Clearing-Based Sensitivity Model for Locational Marginal and Average Carbon Emission. 2(4). 579–582. 2 indexed citations
7.
Kim, Jae-Kyeong, et al.. (2023). Dynamic Performance Modeling and Analysis of Power Grids With High Levels of Stochastic and Power Electronic Interfaced Resources. Proceedings of the IEEE. 111(7). 854–872. 9 indexed citations
8.
Zhang, Ning, et al.. (2023). Low Inertia Power System Planning Considering Frequency Quality Under High Penetration of Renewable Energy. IEEE Transactions on Power Systems. 39(2). 4537–4548. 14 indexed citations
9.
Zhang, Zhenyong, Mingyang Sun, Ruilong Deng, Chongqing Kang, & Mo–Yuen Chow. (2022). Physics-Constrained Robustness Evaluation of Intelligent Security Assessment for Power Systems. IEEE Transactions on Power Systems. 38(1). 872–884. 16 indexed citations
10.
Wei, Wendong, Jiashuo Li, Bin Chen, et al.. (2021). Embodied greenhouse gas emissions from building China’s large-scale power transmission infrastructure. Nature Sustainability. 4(8). 739–747. 121 indexed citations
11.
Liu, Yuxiao, Ning Zhang, Dan Wu, et al.. (2021). Searching for Critical Power System Cascading Failures With Graph Convolutional Network. IEEE Transactions on Control of Network Systems. 8(3). 1304–1313. 44 indexed citations
12.
Huang, Wujing, Ershun Du, Tomislav Capuder, et al.. (2021). Reliability and Vulnerability Assessment of Multi-Energy Systems: An Energy Hub Based Method. IEEE Transactions on Power Systems. 36(5). 3948–3959. 61 indexed citations
13.
Feng, Cheng, Yi Wang, Qixin Chen, et al.. (2020). Smart grid encounters edge computing: opportunities and applications. Advances in Applied Energy. 1. 100006–100006. 104 indexed citations
14.
Fang, Xin, Bri‐Mathias Hodge, Ershun Du, Chongqing Kang, & Fangxing Li. (2019). Introducing Uncertainty Components in Locational Marginal Prices for Pricing Wind Power and Load Uncertainties. IEEE Transactions on Power Systems. 34(3). 2013–2024. 90 indexed citations
15.
Jiang, Liping, Caixia Wang, Pingliang Zeng, et al.. (2019). Variable-Generation Integration in China: An Update. IEEE Power and Energy Magazine. 17(6). 99–107. 3 indexed citations
16.
Cheng, Yaohua, Ning Zhang, & Chongqing Kang. (2018). Carbon emission flow: from electricity network to multiple energy systems. SHILAP Revista de lepidopterología. 11 indexed citations
17.
Yan, Mingyu, Ning Zhang, Xiaomeng Ai, et al.. (2018). Robust Two-Stage Regional-District Scheduling of Multi-carrier Energy Systems With a Large Penetration of Wind Power. IEEE Transactions on Sustainable Energy. 10(3). 1227–1239. 155 indexed citations
18.
Du, Ershun, Ning Zhang, Bri‐Mathias Hodge, et al.. (2018). Operation of a High Renewable Penetrated Power System With CSP Plants: A Look-Ahead Stochastic Unit Commitment Model. IEEE Transactions on Power Systems. 34(1). 140–151. 117 indexed citations
19.
Yang, Zhifang, Anjan Bose, Haiwang Zhong, et al.. (2017). Optimal reactive power dispatch with accurately modeled discrete control devices: A successive linear approximation approach. 1–1. 5 indexed citations
20.
Yang, Jingwei, Ning Zhang, Chongqing Kang, & Pierre Pinson. (2017). Modeling the transient security constraints of natural gas network in day-ahead power system scheduling. 1–5. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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