Kun Yu

3.5k citations
84 papers · 2.5k · 4 hit papers · h-index 26

Impact in

Papers in

Kun Yu

79 papers receiving 2.5k citations

Kun Yu's Hit Papers

Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning 2023 · 101 citations
1010+2+4Years since publication50100150200250

Peers

Kun Yu
Comparison fields: 5 of 109
  • Control and Systems Engineering 1.6k
  • Mechanical Engineering 1.1k
  • Mechanics of Materials 563
  • Computer Vision and Pattern Recognition 262
  • Industrial and Manufacturing Engineering 127
Replace Yadong Xu with:
Yadong Xu China
Weiguo Huang China
Shuilong He China
Xu Li China
Pengfei Liang China
Liuyang Song China
Jian Ma China
Zong Meng China
Kun Yu relative to Yadong Xu China Yadong Xu's profile →
Citations per field
00.5×10×14×
Yadong Xu · 1×
Citations per year

Countries citing papers authored by Kun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing
Hit paper breakdown →
2023256
2
A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning
Hit paper breakdown →
2020249
3 2019139
4 2020124
5
Universal source-free domain adaptation method for cross-domain fault diagnosis of machines
Hit paper breakdown →
2023111
6 2022104
7
Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning
Hit paper breakdown →
2023101
8 201894
9 202085
10 201978
11 202372
12 201772
13 201869
14 202267
15 202064
16 201962
17 201956
18 202254
19 201951
20 202337

About Kun Yu

Kun Yu is a scholar working on Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Mechanics of Materials, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (34 papers), Gear and Bearing Dynamics Analysis (19 papers), Fault Detection and Control Systems (9 papers), Engineering Diagnostics and Reliability (7 papers), Power Systems and Renewable Energy (6 papers), Non-Destructive Testing Techniques (5 papers), Structural Health Monitoring Techniques (5 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Control and Systems Engineering (1.6k citations), Mechanical Engineering (1.1k citations), Mechanics of Materials (563 citations), Computer Vision and Pattern Recognition (262 citations) and Industrial and Manufacturing Engineering (127 citations). Kun Yu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Hui Ma, Tian Ran Lin, Yongchao Zhang, Ke Feng, Zhaohui Ren, Zheng Liu, Xiang Li, Jin Zeng, Xu Li and Zihao Lei. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Mechanical Systems and Signal Processing, IEEE/ASME Transactions on Mechatronics, Structural Health Monitoring and Measurement.

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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