Song Han

849 citations
69 papers · 599 indexed · h-index 12
Topics
Power System Optimization and Stability (15 papers)Power Systems Fault Detection (10 papers)High-Voltage Power Transmission Systems (9 papers)
Journals
SHILAP Revista de lepidopterologíaBioresource TechnologyApplied Energy
Partner nations
ChinaSwedenAustralia

In The Last Decade

Song Han

60 papers receiving 567 citations

Peers

Song Han
Comparison fields: 5 of 79
  • Electrical and Electronic Engineering 241
  • Mechanical Engineering 190
  • Control and Systems Engineering 135
  • Materials Chemistry 87
  • Biomedical Engineering 82
Replace Xiaoyu Yang with:
Xiaoyu Yang China
Gustavo de Novaes Pires Leite Brazil
Jianguo Zhao China
Amin Paykani Iran
Felix Leach United Kingdom
Chao Qin China
Justo J. Roberts Brazil
Andrés Z. Mendiburu Brazil
Andrzej Rusin Poland
Song Han relative to Xiaoyu Yang China Xiaoyu Yang's profile →
Citations per field
00.5×2.8×
Xiaoyu Yang · 1×
Citations per year

Countries citing papers authored by Song Han

Since Specialization
Citations

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

Fields of papers citing papers by Song Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Han

This figure shows the co-authorship network connecting the top 25 collaborators of Song Han. A scholar is included among the top collaborators of Song Han 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 Song Han. Song Han 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 3
2 0
3 0
4 2
5 0
6 8
7 33
8 3
9 12
10 10
11 58
12 8
13 1
14 4
15
A Dynamic VAR Configuration Method Based on Improved Trajectory Sensitivity Index
5
16 2
17 17
18
Approximate Method to Analyze Low Frequency Oscillation of Power Systems
0
19
Comparison of Mathematical Models for Transient Stability between PSD-BPA and PSS/E
3
20 4

About Song Han

Song Han is a scholar working on Energy Engineering and Power Technology, Computational Mathematics and Control and Systems Engineering, having authored 69 papers that have together received 599 indexed citations. Recurring topics across this work include Power System Optimization and Stability (15 papers), Power Systems Fault Detection (10 papers) and High-Voltage Power Transmission Systems (9 papers). The work is most often cited by research in Energy Engineering and Power Technology (44 citations), Control and Systems Engineering (135 citations) and Mechanical Engineering (190 citations). Song Han has collaborated with scholars based in China, Sweden and Australia. Frequent co-authors include Na Rong, Jinyue Yan, Fredrik Starfelt, Erik Dotzauer, Eva Thorin, Qian Chen, Tinghong Gao, Quan Xie, Yutao Liu and Yongchao Liang. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Applied 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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