Xingyu Yan

813 citations
32 papers · 580 · h-index 12

Impact in

Papers in

Xingyu Yan

30 papers receiving 564 citations

Peers

Xingyu Yan
Comparison fields: 5 of 37
  • Energy Engineering and Power Technology 55
  • Control and Systems Engineering 305
  • Electrical and Electronic Engineering 537
  • Renewable Energy, Sustainability and the Environment 95
  • Automotive Engineering 28
Replace Dhaker Abbes with:
Dhaker Abbes France
Priyanka Chaudhary India
Sandipan Patra Ireland
Sajjad Ali Pakistan
Katayoun Rahbar Singapore
Ali M. Jasim Iraq
Sandeep Kakran India
Zunaib Ali United Kingdom
Thomas Basso United States
Hassane El Markhi Morocco
Xingyu Yan relative to Dhaker Abbes France Dhaker Abbes's profile →
Citations per field
00.5×4.3×
Dhaker Abbes · 1×
Citations per year

Countries citing papers authored by Xingyu Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xingyu Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xingyu Yan, 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 Xingyu Yan Line = papers co-authored together Xingyu Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014171
2 202256
3 202353
4 201753
5 202332
6 201330
7 202424
8 202319
9 201818
10 201417
11 202413
12 202311
13 202511
14 201510
15 20249
16 20229
17 20226
18 20245
19 20165
20 20145

About Xingyu Yan

Xingyu Yan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Artificial Intelligence and Renewable Energy, Sustainability and the Environment, having authored 32 papers that have together received 580 indexed citations. Recurring topics across this work include Smart Grid Energy Management (18 papers), Microgrid Control and Optimization (16 papers), Electric Power System Optimization (8 papers), Integrated Energy Systems Optimization (6 papers), Electric Vehicles and Infrastructure (5 papers), Optimal Power Flow Distribution (4 papers), Advanced Battery Technologies Research (3 papers) and Multilevel Inverters and Converters (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (55 citations), Control and Systems Engineering (305 citations), Electrical and Electronic Engineering (537 citations), Renewable Energy, Sustainability and the Environment (95 citations) and Automotive Engineering (28 citations). Xingyu Yan has collaborated with scholars based in China, France and United States. Frequent co-authors include Dhaker Abbes, Bruno François, Ciwei Gao, Meng Song, Baoming Ge, Daqiang Bi, Fang Zheng Peng, Dongsen Sun, Haitham Abu‐Rub and Jianyong Ding. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, Applied Energy, Sustainable Energy Grids and Networks, Renewable Energy and Electric Power Systems Research.

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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