Yu Xiao

636 citations
32 papers · 482 indexed · h-index 9
Topics
Microgrid Control and Optimization (10 papers)HVDC Systems and Fault Protection (8 papers)Power Systems and Renewable Energy (8 papers)
Journals
SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsApplied Energy
Partner nations
ChinaAustraliaSingapore

In The Last Decade

Yu Xiao

24 papers receiving 465 citations

Peers

Yu Xiao
Comparison fields: 5 of 54
  • Electrical and Electronic Engineering 214
  • Renewable Energy, Sustainability and the Environment 107
  • Control and Systems Engineering 94
  • Energy Engineering and Power Technology 77
  • Pollution 75
Replace Brendan Shaffer with:
Brendan Shaffer United States
Will Gorman United States
Gil Georges Switzerland
Hafiz Abu Bakar Siddique Germany
Yongtu Liang China
L. Andrew Bollinger Switzerland
James Dixon United Kingdom
Ayse Selin Kocaman Türkiye
Géremi Gilson Dranka Brazil
Andrés Julián Aristizábal Colombia
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Citations per field
00.5×1.5×
Brendan Shaffer · 1×
Citations per year

Countries citing papers authored by Yu Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Yu Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Xiao. A scholar is included among the top collaborators of Yu Xiao 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 Yu Xiao. Yu Xiao 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 1
3 0
4 15
5 0
6 1
7 1
8 1
9 0
10 1
11 9
12 4
13 0
14 3
15
A Prediction Model for Wind Farms Power Generation Based on Fuzzy Neural Network
1
16 4
17 2
18 68
19
Simulation of Parabolic Trough Solar Power Generating System for Typical Chinese Sites
9
20
Fault Diagnosis in Hydraulic Turbine Governor Based on BP Artificial Neural Network
0

About Yu Xiao

Yu Xiao is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Transportation, having authored 32 papers that have together received 482 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (10 papers), HVDC Systems and Fault Protection (8 papers) and Power Systems and Renewable Energy (8 papers). The work is most often cited by research in Energy Engineering and Power Technology (77 citations), Renewable Energy, Sustainability and the Environment (107 citations) and Pollution (75 citations). Yu Xiao has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Hang Qu, Jun Zhao, Diyi Chen, M. Venkateshkumar, Beibei Xu, Maoxiang Lang, Shiqi Li, Kai Wang, Sang‐Bing Tsai and Yongning Chi. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews 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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