Yonghua Song

23.1k citations
529 papers · 17.1k indexed · 2 hit papers · h-index 69
Topics
Smart Grid Energy Management (125 papers)Optimal Power Flow Distribution (119 papers)Power System Optimization and Stability (104 papers)
Journals
SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsPLoS ONE
Partner nations
ChinaMacaoUnited Kingdom

In The Last Decade

Yonghua Song

498 papers receiving 16.4k citations

Hit Papers

Artificial intelligence in sustainable...201520262018202220212015200400600

Peers

Yonghua Song
Comparison fields: 5 of 150
  • Electrical and Electronic Engineering 14.5k
  • Control and Systems Engineering 5.6k
  • Automotive Engineering 3.1k
  • Energy Engineering and Power Technology 1.6k
  • Renewable Energy, Sustainability and the Environment 1.3k
Replace Hongbin Sun with:
Hongbin Sun China
Daniel S. Kirschen United States
Pierluigi Siano Italy
Peng Wang China
Yan Xu China
Miadreza Shafie‐khah Portugal
Qiuwei Wu China
Matti Lehtonen Finland
Göran Andersson Switzerland
Lei Wu United States
Yonghua Song relative to Hongbin Sun China Hongbin Sun's profile →
Citations per field
00.5×1.5×2.3×
Hongbin Sun · 1×
Citations per year

Countries citing papers authored by Yonghua Song

Since Specialization
Citations

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

Fields of papers citing papers by Yonghua Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghua Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yonghua Song. A scholar is included among the top collaborators of Yonghua 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 Yonghua Song. Yonghua 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 2
2 0
3 0
4 16
5 10
6 8
7 3
8 8
9 2
10 11
11 8
12 17
13 18
14 17
15 10
16 6
17 11
18 4
19 10
20 6

About Yonghua Song

Yonghua Song is a scholar working on Energy Engineering and Power Technology, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 529 papers that have together received 17.1k indexed citations. Recurring topics across this work include Smart Grid Energy Management (125 papers), Optimal Power Flow Distribution (119 papers) and Power System Optimization and Stability (104 papers). The work is most often cited by research in Energy Engineering and Power Technology (1.6k citations), Automotive Engineering (3.1k citations) and Electrical and Electronic Engineering (14.5k citations). Yonghua Song has collaborated with scholars based in China, Macao and United Kingdom. Frequent co-authors include Zechun Hu, Jin Lin, Hongcai Zhang, Can Wan, Zhiwei Xu, Yi Ding, Jianhui Wang, Hongxun Hui, Huajie Ding and M.R. Irving. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

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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