Zhongguan Wang

35 papers receiving 784 citations

Hit Papers

An Online Reinforcement Learning-Based Energy Management ...2024202620252024255075

Peers

Zhongguan Wang
Comparison fields: 5 of 45
  • Electrical and Electronic Engineering 714
  • Control and Systems Engineering 531
  • Energy Engineering and Power Technology 130
  • Renewable Energy, Sustainability and the Environment 65
  • Artificial Intelligence 61
Replace Bishwajit Dey with:
Bishwajit Dey India
R. Seshu Kumar India
Weiqiang Qiu China
Mehdi Mehdinejad Iran
Sleiman Mhanna Australia
Amirreza Jafari Iran
Alejandro Rolán Spain
Mohd Asim Aftab India
Bahman Bahmani-Firouzi Iran
Salah K. Elsayed Saudi Arabia
Zhongguan Wang relative to Bishwajit Dey India Bishwajit Dey's profile →
Citations per field
00.5×10.3×
Bishwajit Dey · 1×
Citations per year

Countries citing papers authored by Zhongguan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhongguan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongguan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongguan Wang. A scholar is included among the top collaborators of Zhongguan Wang 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 Zhongguan Wang. Zhongguan Wang 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
#WorkIndexed citations
1 2
2 0
3
An Online Reinforcement Learning-Based Energy Management Strategy for Microgrids With Centralized Controlbreakdown →
82
4 1
5 2
6 0
7 5
8 0
9 9
10 24
11 15
12 26
13 8
14 2
15 27
16 35
17 58
18 18
19 2
20 2

About Zhongguan Wang

Zhongguan Wang is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 41 papers that have together received 811 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (24 papers), Smart Grid Energy Management (14 papers) and Optimal Power Flow Distribution (12 papers). The work is most often cited by research in Energy Engineering and Power Technology (130 citations), Control and Systems Engineering (531 citations) and Electrical and Electronic Engineering (714 citations). Zhongguan Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wenchuan Wu, Boming Zhang, Fengzhang Luo, Leijiao Ge, Chengshan Wang, Qinglin Meng, Li Guo, Yixin Liu, Sheharyar Hussain and Xiaolong Jin. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Electronics and IEEE Transactions on Power Systems.

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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