Chao Long

6.8k total citations · 7 hit papers
104 papers, 5.2k citations indexed

About

Chao Long is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Chao Long has authored 104 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Electrical and Electronic Engineering, 43 papers in Control and Systems Engineering and 9 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Chao Long's work include Microgrid Control and Optimization (37 papers), Smart Grid Energy Management (36 papers) and Optimal Power Flow Distribution (15 papers). Chao Long is often cited by papers focused on Microgrid Control and Optimization (37 papers), Smart Grid Energy Management (36 papers) and Optimal Power Flow Distribution (15 papers). Chao Long collaborates with scholars based in China, United Kingdom and United States. Chao Long's co-authors include Jianzhong Wu, Yue Zhou, Meng Cheng, Chenghua Zhang, Nick Jenkins, Hoay Beng Gooi, Amrit Paudel, Kalpesh Chaudhari, Lee Thomas and Luis F. Ochoa and has published in prestigious journals such as Biomaterials, IEEE Transactions on Industrial Electronics and ACS Applied Materials & Interfaces.

In The Last Decade

Chao Long

93 papers receiving 5.1k citations

Hit Papers

Peer-to-Peer energy trading in a Microgrid 2017 2026 2020 2023 2018 2018 2018 2017 2018 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Peer-to-Peer energy trading in a Microgrid
    2018 696 citations Chenghua Zhang, Jianzhong Wu et al. Applied Energy profile →
  2. Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model
    2018 558 citations Chao Long et al. profile →
  3. Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid
    2018 405 citations Chao Long, Jianzhong Wu et al. Applied Energy profile →
  4. Review of Existing Peer-to-Peer Energy Trading Projects
    2017 359 citations Chenghua Zhang, Jianzhong Wu et al. Energy Procedia profile →
  5. Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework
    2018 320 citations Yue Zhou, Jianzhong Wu et al. Applied Energy profile →
  6. Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach
    2022 185 citations Yang Li, Yuanzheng Li et al. Applied Energy profile →
  7. Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response
    2023 168 citations Yang Li, Mohammad Shahidehpour et al. Applied Energy profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chao Long China 28 4.6k 2.6k 747 574 271 104 5.2k
Yue Zhou China 34 4.2k 0.9× 2.3k 0.9× 559 0.7× 681 1.2× 262 1.0× 164 5.2k
Eleonora Riva Sanseverino Italy 35 4.2k 0.9× 2.4k 0.9× 523 0.7× 825 1.4× 359 1.3× 326 5.5k
Gaetano Zizzo Italy 32 3.0k 0.7× 1.8k 0.7× 414 0.6× 564 1.0× 141 0.5× 282 4.1k
Thomas Morstyn United Kingdom 33 5.0k 1.1× 3.1k 1.2× 430 0.6× 367 0.6× 139 0.5× 90 5.6k
Wayes Tushar Australia 30 3.5k 0.8× 1.9k 0.7× 358 0.5× 429 0.7× 121 0.4× 89 4.2k
Nian Liu China 40 5.7k 1.3× 3.4k 1.3× 347 0.5× 482 0.8× 371 1.4× 265 6.8k
Tarek AlSkaif Netherlands 27 2.1k 0.5× 788 0.3× 285 0.4× 451 0.8× 361 1.3× 77 2.6k
Qixin Chen China 38 5.8k 1.3× 1.9k 0.7× 196 0.3× 620 1.1× 755 2.8× 186 6.9k
Dongdong Zhang China 31 2.2k 0.5× 646 0.2× 196 0.3× 662 1.2× 364 1.3× 126 4.2k
Pedro Faria Portugal 31 3.7k 0.8× 1.9k 0.7× 98 0.1× 644 1.1× 174 0.6× 264 4.4k

Countries citing papers authored by Chao Long

Since Specialization
Citations

This map shows the geographic impact of Chao Long'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 Chao Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Long more than expected).

Fields of papers citing papers by Chao Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao Long. 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 Chao Long. The network helps show where Chao Long may publish in the future.

Co-authorship network of co-authors of Chao Long

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Long. A scholar is included among the top collaborators of Chao Long 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 Chao Long. Chao Long 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
1.
Li, Chaochao, et al.. (2025). Climate risk, informal lending default, and financial risk spillovers: A dual perspective of physical and transition risks. Research in International Business and Finance. 82. 103249–103249. 1 indexed citations
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Chen, Zhicong, Shengwen Zhong, Lijun Wu, et al.. (2025). Development of a self-powered wireless I-V tracer for online inspection and modelling of individual photovoltaic modules. Solar Energy. 303. 114097–114097.
7.
Long, Chao, et al.. (2025). Defect recognition of printed circuit board assemblies via enhanced Swin-Condinst network. Measurement. 253. 117879–117879.
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Xu, Shuhua, et al.. (2024). Geometric artifacts correction of equiangular fan-beam industrial CT system. NDT & E International. 147. 103197–103197. 1 indexed citations
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Althaher, Sereen Z., Sahban W. Alnaser, Chao Long, & Yue Zhou. (2024). Introducing storage operators for coordinating residential batteries in distribution networks under time-of-use tariffs and adaptive power limits. Applied Energy. 371. 123714–123714. 2 indexed citations
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Li, Yang, et al.. (2022). Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach. Applied Energy. 329. 120291–120291. 185 indexed citations breakdown →
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Qi, Qi, Chao Long, Jianzhong Wu, & James Yu. (2018). Impacts of a medium voltage direct current link on the performance of electrical distribution networks. Applied Energy. 230. 175–188. 21 indexed citations
15.
Long, Chao, Jianzhong Wu, Chenghua Zhang, et al.. (2017). Peer-to-peer energy trading in a community microgrid. ORCA Online Research @Cardiff (Cardiff University). 1–5. 246 indexed citations
16.
Zhang, Chenghua, Jianzhong Wu, Chao Long, & Meng Cheng. (2017). Review of Existing Peer-to-Peer Energy Trading Projects. Energy Procedia. 105. 2563–2568. 359 indexed citations breakdown →
17.
Li, Guoqing, Chao Long, & Hongtao Chen. (2016). Installation position selection of DC power flow controller considering the line-loss of DC grid. 44(16). 49. 1 indexed citations
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Long, Chao, et al.. (2014). Quantitative Estimation of Chemical Weathering versus Total Denudation Ratio within Tributaries of Yangtze River Basin Based on Size Dependent Chemical Composition Ratio of River Sediment. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
20.
Long, Chao, Mohamed Emad Farrag, D.M. Hepburn, & Chengke Zhou. (2014). Point Estimate Method for Voltage Unbalance Evaluation in Residential Distribution Networks with High Penetration of Small Wind Turbines. Energies. 7(11). 7717–7731. 6 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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