Guanyu Song

2.6k citations
70 papers · 2.0k indexed · 1 hit paper · h-index 22
Topics
Optimal Power Flow Distribution (41 papers)Microgrid Control and Optimization (34 papers)Smart Grid Energy Management (27 papers)

In The Last Decade

Guanyu Song

65 papers receiving 2.0k citations

Hit Papers

Coordinated Control Method of Voltage and Reactive Power ...20172026202020232017100200300

Peers

Guanyu Song
Comparison fields: 5 of 49
  • Electrical and Electronic Engineering 1.9k
  • Control and Systems Engineering 1.3k
  • Energy Engineering and Power Technology 174
  • Safety, Risk, Reliability and Quality 105
  • Automotive Engineering 65
Replace Geev Mokryani with:
Geev Mokryani United Kingdom
Heresh Seyedi Iran
Jinli Zhao China
Xin Fang United States
Deping Ke China
Mahmood Joorabian Iran
Ali Azizivahed Australia
Soodabeh Soleymani Iran
Hassan Ghasemi Iran
Claudia Rahmann Chile
Guanyu Song relative to Geev Mokryani United Kingdom Geev Mokryani's profile →
Citations per field
00.5×1.5×1.9×
Geev Mokryani · 1×
Citations per year

Countries citing papers authored by Guanyu Song

Since Specialization
Citations

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

Fields of papers citing papers by Guanyu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanyu Song

This figure shows the co-authorship network connecting the top 25 collaborators of Guanyu Song. A scholar is included among the top collaborators of Guanyu Song 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 Guanyu Song. Guanyu Song 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 1
2 4
3 5
4 7
5 6
6 2
7 39
8 10
9 63
10 25
11 36
12 61
13 91
14 138
15 64
16 82
17 8
18 105
19 150
20 37

About Guanyu Song

Guanyu Song is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 70 papers that have together received 2.0k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (41 papers), Microgrid Control and Optimization (34 papers) and Smart Grid Energy Management (27 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Energy Engineering and Power Technology (174 citations) and Electrical and Electronic Engineering (1.9k citations). Guanyu Song has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Peng Li, Jianzhong Wu, Chengshan Wang, Haoran Ji, Jinli Zhao, Fei Ding, Hao Yu, Chao Long, Yue Zhou and Chaoxian Lv. Their work appears in journals such as Applied Energy, IEEE Access and Energy.

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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