Xi Ye

1.6k citations
93 papers · 1.2k · h-index 18

Impact in

Papers in

Xi Ye

81 papers receiving 1.2k citations

Peers

Xi Ye
Comparison fields: 5 of 94
  • Electrical and Electronic Engineering 498
  • Computer Vision and Pattern Recognition 187
  • Artificial Intelligence 245
  • Energy Engineering and Power Technology 19
  • Computer Science Applications 20
Replace Rajesh Sankaran with:
Rajesh Sankaran United States
Li Juan Cao China
Sean Peter Walton United Kingdom
Liang Ma China
Inés María Galván Spain
Shiguang Zhang China
Kun Zhang China
Kwanghoon Pio Kim South Korea
Yanchao Zhao China
Xi Ye relative to Rajesh Sankaran United States Rajesh Sankaran's profile →
Citations per field
00.5×2×4×6.3×
Rajesh Sankaran · 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 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017174
2 201783
3 202278
4 202167
5 201661
6 202059
7 202344
8 201840
9 202239
10 202333
11 201931
12 202229
13 202227
14 201826
15 201522
16 202421
17 202320
18 202219
19 202218
20 201917

About Xi Ye

Xi Ye is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence and Aerospace Engineering, having authored 93 papers that have together received 1.2k indexed citations. Recurring topics across this work include Electric Power System Optimization (14 papers), Power System Optimization and Stability (10 papers), Topic Modeling (6 papers), Optimal Power Flow Distribution (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Energy Load and Power Forecasting (5 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Microgrid Control and Optimization (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (498 citations), Computer Vision and Pattern Recognition (187 citations), Artificial Intelligence (245 citations), Energy Engineering and Power Technology (19 citations) and Computer Science Applications (20 citations). Xi Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yunfeng Wen, Greg Durrett, Wenyuan Li, Xuan Liu, Guillaume-Alexandre Bilodeau, Chi Yung Chung, Ying Qiao, Zongxiang Lu, Yong Min and Qiaochu Chen. Their work appears in journals such as Drug Metabolism and Disposition, Energies, Electronics, Scientific Reports 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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