Xiaolei Yu

1.1k total citations · 1 hit paper
19 papers, 863 citations indexed

About

Xiaolei Yu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaolei Yu has authored 19 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 7 papers in Mechanical Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaolei Yu's work include Machine Fault Diagnosis Techniques (10 papers), Fault Detection and Control Systems (4 papers) and Non-Destructive Testing Techniques (3 papers). Xiaolei Yu is often cited by papers focused on Machine Fault Diagnosis Techniques (10 papers), Fault Detection and Control Systems (4 papers) and Non-Destructive Testing Techniques (3 papers). Xiaolei Yu collaborates with scholars based in China, United States and India. Xiaolei Yu's co-authors include Xuefeng Chen, Zhibin Zhao, Chuang Sun, Qiyang Zhang, Ruqiang Yan, Shibin Wang, Xingwu Zhang, Yilong Liu, Jiulin Wang and Jun Yang and has published in prestigious journals such as Advanced Functional Materials, Chemical Communications and RSC Advances.

In The Last Decade

Xiaolei Yu

16 papers receiving 845 citations

Hit Papers

Applications of Unsupervised Deep Transfer Learning to In... 2021 2026 2022 2024 2021 100 200 300 400

Peers

Xiaolei Yu
Comparison fields: 5 of 63
  • Control and Systems Engineering 602
  • Mechanical Engineering 289
  • Artificial Intelligence 234
  • Mechanics of Materials 139
  • Electrical and Electronic Engineering 139
Replace Jingsong Xie with:
Jingsong Xie China
Jang-Wook Hur South Korea
Zygfryd Głowacz Poland
Qin Yi China
Shimi Sudha Letha India
Wanlu Jiang China
Xufeng Huang China
Purushottam Gangsar India
Guojun Qin China
Jianyu Wang China
Jingsong Xie China View profile →
Citations per field, relative to Xiaolei Yu
Xiaolei Yu · 1×
Citations per year, relative to Xiaolei Yu
Xiaolei Yu · 1×

Countries citing papers authored by Xiaolei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolei Yu

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 6
2 18
3 26
4 1
5 7
6 39
7
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study breakdown →
402
8 5
9 147
10 89
11 6
12 0
13 0
14 1
15 1
16 4
17 38
18 22
19 51

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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