Xi Ye

1.6k citations
90 papers · 1.0k · h-index 18

Impact in

Papers in

Xi Ye

77 papers receiving 988 citations

Peers

Xi Ye
Comparison fields: 5 of 126
  • Energy Engineering and Power Technology 80
  • General Energy 10
  • Electrical and Electronic Engineering 506
  • Computer Vision and Pattern Recognition 164
  • Control and Systems Engineering 180
Replace Jun Zhao with:
Jun Zhao China
Xinyuan Liu China
Vladimir Čeperić Croatia
Amit Jain India
Zheng Guo China
Yurong Wang China
Yi Wu China
Yuting Sun China
Liang Ma China
Stefan Posch Germany
Xi Ye relative to Jun Zhao China Jun Zhao's profile →
Citations per field
00.5×2.6×
Jun Zhao · 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 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017165
2 201779
3 201662
4 202162
5 202244
6 201840
7 202337
8 202236
9 201930
10 202227
11 202226
12 202325
13 201823
14 201520
15 202418
16 202217
17 202317
18 202217
19 201916
20 201716

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 90 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (13 papers), HVDC Systems and Fault Protection (7 papers), High-Voltage Power Transmission Systems (7 papers), Energy Load and Power Forecasting (7 papers), Power Systems and Renewable Energy (7 papers), Topic Modeling (6 papers), Electric Power System Optimization (6 papers) and Smart Grid Energy Management (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (80 citations), General Energy (10 citations), Electrical and Electronic Engineering (506 citations), Computer Vision and Pattern Recognition (164 citations) and Control and Systems Engineering (180 citations). Xi Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yunfeng Wen, Xuan Liu, Wenyuan Li, Guillaume-Alexandre Bilodeau, Ying Qiao, Zongxiang Lu, C. Y. Chung, Yong Min, Greg Durrett and Ruoyu Zhao. Their work appears in journals such as Drug Metabolism and Disposition, Energies, Electronics, Frontiers in Energy Research and IEEE Transactions on Power Systems.

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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