Kun Yu

670 citations
49 papers · 409 · 1 hit paper · h-index 10

Impact in

Papers in

Kun Yu

43 papers receiving 397 citations

Kun Yu's Hit Papers

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges 2025 · 33 citations
330Years since publication102030

Peers

Kun Yu
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 178
  • Instrumentation 28
  • Aerospace Engineering 147
  • Nuclear and High Energy Physics 69
  • Media Technology 40
Replace Haicheng Bai with:
Haicheng Bai China
Dangjun Zhao China
Sven Woop United Kingdom
Piotr Jasiobedzki Canada
Sébastien Speierer Switzerland
Stephan Hakuli Germany
Jan Wendel Germany
Martin Landmann Germany
Zhaokui Wang China
Shiyou Xu China
Kun Yu relative to Haicheng Bai China Haicheng Bai's profile →
Citations per field
00.5×10×15×20×23×
Haicheng Bai · 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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202057
2 201448
3 202136
4
Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges
Hit paper breakdown →
202533
5 201929
6 201321
7 202018
8 201917
9 201617
10 202010
11 20129
12 20219
13 20228
14 20028
15 20217
16 20107
17 20217
18 20226
19 20256
20 20216

About Kun Yu

Kun Yu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications, Control and Systems Engineering and Media Technology, having authored 49 papers that have together received 409 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Mobile Ad Hoc Networks (6 papers), Optical measurement and interference techniques (5 papers), Advanced Vision and Imaging (5 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Image Retrieval and Classification Techniques (4 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (178 citations), Instrumentation (28 citations), Aerospace Engineering (147 citations), Nuclear and High Energy Physics (69 citations) and Media Technology (40 citations). Kun Yu has collaborated with scholars based in China, Hong Kong and Switzerland. Frequent co-authors include Jie Ma, Bin Fang, Tao Ma, Pei An, Jun Zhang, Caizi Fan, Zeyu Ma, Yongchao Zhang, Qibin Wang and Bin Yi. Their work appears in journals such as Remote Sensing, Optics Express, IEEE Geoscience and Remote Sensing Letters, Journal of the Optical Society of America A and Review of Scientific Instruments.

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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