Xi Ye

1.6k citations
87 papers · 969 indexed · h-index 16

Impact in

Papers in

Xi Ye

72 papers receiving 936 citations

Peers

Xi Ye
Comparison fields: 5 of 127
  • Energy Engineering and Power Technology 77
  • General Energy 10
  • Electrical and Electronic Engineering 492
  • Computer Vision and Pattern Recognition 155
  • Control and Systems Engineering 174
Replace Xinyuan Liu with:
Xinyuan Liu China
Zheng Guo China
Amit Jain India
Qing Yan China
Vladimir Čeperić Croatia
Liang Ma China
Christoph Scholz Germany
Yurong Wang China
C.T. Gaunt South Africa
Xi Ye relative to Xinyuan Liu China Xinyuan Liu's profile →
Citations per field
00.5×2.7×
Xinyuan Liu · 1×
Citations per year

Countries citing papers authored by Xi Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xi Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017161
2 201777
3 201661
4 202158
5 202241
6 201840
7 202334
8 202233
9 201930
10 202227
11 202225
12 202324
13 201822
14 201520
15 201916
16 201716
17 202315
18 202215
19 202315
20 202414

About Xi Ye

Xi Ye is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Energy Engineering and Power Technology, having authored 87 papers that have together received 969 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (13 papers), High-Voltage Power Transmission Systems (7 papers), Energy Load and Power Forecasting (7 papers), HVDC Systems and Fault Protection (7 papers), Power Systems and Renewable Energy (7 papers), Smart Grid and Power Systems (6 papers), Electric Power System Optimization (6 papers) and Topic Modeling (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (77 citations), General Energy (10 citations), Electrical and Electronic Engineering (492 citations), Computer Vision and Pattern Recognition (155 citations) and Control and Systems Engineering (174 citations). Xi Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yunfeng Wen, Wenyuan Li, Xuan Liu, Guillaume-Alexandre Bilodeau, C. Y. Chung, Zongxiang Lu, Ying Qiao, Yong Min, Greg Durrett and Mark O’Malley. Their work appears in journals such as Drug Metabolism and Disposition, Electronics, Energies, IEEE Transactions on Power Systems and Frontiers in Energy 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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