Songhao Yang

739 citations
71 papers · 446 · h-index 13

Impact in

Papers in

Songhao Yang

62 papers receiving 429 citations

Peers

Songhao Yang
Comparison fields: 5 of 91
  • Energy Engineering and Power Technology 41
  • Control and Systems Engineering 131
  • Cancer Research 55
  • Electrical and Electronic Engineering 184
  • Rheumatology 42
Replace Liguo Wu with:
Liguo Wu China
Rick Watson Canada
M. Varghese United States
Ce Wang China
Junying Cao China
Guanqing Wang China
Cong Ding China
P Mercier France
Tsung‐Po Chen Taiwan
Andrea Ferrante United States
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Citations per year

Countries citing papers authored by Songhao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Songhao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Songhao Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Songhao Yang Line = papers co-authored together Songhao Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201850
2 201745
3 202225
4 201724
5 202019
6 202318
7 201718
8 198117
9 202114
10 202314
11 202214
12 202212
13 202212
14 201912
15 202210
16 20219
17 20229
18 20228
19 20237
20 20167

About Songhao Yang

Songhao Yang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Pathology and Forensic Medicine and Artificial Intelligence, having authored 71 papers that have together received 446 indexed citations. Recurring topics across this work include Power System Optimization and Stability (27 papers), HVDC Systems and Fault Protection (20 papers), Microgrid Control and Optimization (17 papers), Power Systems and Renewable Energy (13 papers), Wind Turbine Control Systems (12 papers), Power Systems Fault Detection (10 papers), Smart Grid and Power Systems (9 papers) and High-Voltage Power Transmission Systems (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (41 citations), Control and Systems Engineering (131 citations), Cancer Research (55 citations), Electrical and Electronic Engineering (184 citations) and Rheumatology (42 citations). Songhao Yang has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Baohui Zhang, Zhiguo Hao, Xiaoling Yang, Anning Yang, Yideng Jiang, Yubo Zhang, Huiping Zhang, Yujun Li, Mei Deng and Nan Li. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Energy Conversion, International Journal of Electrical Power & Energy Systems, Journal of Cellular Biochemistry and IEEE Transactions on Power Delivery.

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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