Yu Can Fu

1.1k citations
129 papers · 915 indexed · h-index 15
Topics
Advanced machining processes and optimization (54 papers)Advanced Surface Polishing Techniques (49 papers)Advanced Machining and Optimization Techniques (21 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Yu Can Fu

122 papers receiving 898 citations

Peers

Yu Can Fu
Comparison fields: 5 of 93
  • Mechanical Engineering 472
  • Biomedical Engineering 326
  • Electrical and Electronic Engineering 233
  • Materials Chemistry 225
  • Civil and Structural Engineering 111
Replace Kaiyu Wang with:
Kaiyu Wang China
Xiaoguang Luo China
Jintao Wang China
Daniel Munteanu Romania
John L. Evans United States
Wei Huang China
Chao Tang China
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Yu Can Fu relative to Kaiyu Wang China Kaiyu Wang's profile →
Citations per field
00.5×1.5×
Kaiyu Wang · 1×
Citations per year

Countries citing papers authored by Yu Can Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Can Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Can Fu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 0
4 4
5 0
6 1
7 2
8 1
9 2
10 30
11 4
12 3
13 36
14 8
15 43
16 3
17
Mean change-point model for aero-engine component faults
5
18 2
19 2
20
Application and Development of Compound Materials with Aluminum in Deep Deoxidization for Steelmaking
1

About Yu Can Fu

Yu Can Fu is a scholar working on Mechanical Engineering, Biomedical Engineering and Civil and Structural Engineering, having authored 129 papers that have together received 915 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (54 papers), Advanced Surface Polishing Techniques (49 papers) and Advanced Machining and Optimization Techniques (21 papers). The work is most often cited by research in Mechanical Engineering (472 citations), Biomedical Engineering (326 citations) and Ceramics and Composites (32 citations). Yu Can Fu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jiu Hua Xu, Hong Hua Su, Shaoqin Liu, Ying Ge, Cathy H.C. Hsu, Xiang Li, Hongxi Gu, Weijun Cui, Bing Xiao and Nan Wang. Their work appears in journals such as Construction and Building Materials, Tourism Management and Journal of Environmental Management.

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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