Xihui Yan

897 citations
12 papers · 688 indexed · h-index 9
Topics
Smart Grid Energy Management (5 papers)Electric Vehicles and Infrastructure (4 papers)Optimal Power Flow Distribution (3 papers)
Partner nations
ChinaCanadaFinland

In The Last Decade

Xihui Yan

11 papers receiving 653 citations

Peers

Xihui Yan
Comparison fields: 5 of 48
  • Electrical and Electronic Engineering 502
  • Control and Systems Engineering 297
  • Automotive Engineering 98
  • Artificial Intelligence 88
  • Safety, Risk, Reliability and Quality 82
Replace Sundaram B. Pandya with:
Sundaram B. Pandya India
Kaishun Xiahou China
Visvakumar Aravinthan United States
Ruisheng Diao United States
Aaron M. Cramer United States
Daogang Peng China
Parimal Acharjee India
S. K. Bath India
Amir Vasebi Canada
Leandro Ramos de Araújo Brazil
Xihui Yan relative to Sundaram B. Pandya India Sundaram B. Pandya's profile →
Citations per field
00.5×10×14.5×
Sundaram B. Pandya · 1×
Citations per year

Countries citing papers authored by Xihui Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xihui Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xihui Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xihui Yan. A scholar is included among the top collaborators of Xihui Yan 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 Xihui Yan. Xihui Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 15
2 67
3 14
4 5
5 11
6 2
7 64
8 230
9
Automatic identification algorithm of train track occupancy
0
10 159
11 99
12 22

About Xihui Yan

Xihui Yan is a scholar working on Computational Mathematics, Automotive Engineering and Electrical and Electronic Engineering, having authored 12 papers that have together received 688 indexed citations. Recurring topics across this work include Smart Grid Energy Management (5 papers), Electric Vehicles and Infrastructure (4 papers) and Optimal Power Flow Distribution (3 papers). The work is most often cited by research in Control and Systems Engineering (297 citations), Safety, Risk, Reliability and Quality (82 citations) and Electrical and Electronic Engineering (502 citations). Xihui Yan has collaborated with scholars based in China, Canada and Finland. Frequent co-authors include V.H. Quintana, Hongshan Zhao, Hui‐Hai Liu, Hui Ren, Fei Wang, João P. S. Catalào, Neven Duić, Li Yu, Miadreza Shafie‐khah and Li‐Shu Wang. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Access and Renewable 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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