Fang Yu

2.1k total citations
69 papers, 1.1k citations indexed

About

Fang Yu is a scholar working on Mechanical Engineering, Artificial Intelligence and Information Systems. According to data from OpenAlex, Fang Yu has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 14 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Fang Yu's work include Aluminum Alloys Composites Properties (13 papers), Aluminum Alloy Microstructure Properties (10 papers) and Formal Methods in Verification (10 papers). Fang Yu is often cited by papers focused on Aluminum Alloys Composites Properties (13 papers), Aluminum Alloy Microstructure Properties (10 papers) and Formal Methods in Verification (10 papers). Fang Yu collaborates with scholars based in United States, China and Taiwan. Fang Yu's co-authors include Yao‐Wen Huang, Sy‐Yen Kuo, Chung-Hung Tsai, Der-Tsai Lee, Tevfik Bultan, Michael C. Hamilton, Wayne Johnson, Muath Alkhalaf, Zhangming Zhou and Kun Fang and has published in prestigious journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Software Engineering and Journal of Alloys and Compounds.

In The Last Decade

Fang Yu

62 papers receiving 986 citations

Peers

Fang Yu
Comparison fields: 5 of 71
  • Information Systems 546
  • Artificial Intelligence 484
  • Signal Processing 251
  • Software 214
  • Electrical and Electronic Engineering 209
Replace Yongxin Feng with:
Yongxin Feng China
Kai H. Chang United States
Jianhui Jiang China
Gen Zhang China
Yanchun Wang China
Jesús Maudes Spain
Zhihui Li China
Yujun Chen China
Yongxin Feng China View profile →
Citations per field, relative to Fang Yu
Fang Yu · 1×
Citations per year, relative to Fang Yu
Fang Yu · 1×

Countries citing papers authored by Fang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Yu. A scholar is included among the top collaborators of Fang 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 Fang Yu. Fang Yu 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
# Work Indexed citations
1 0
2 3
3 5
4 3
5 2
6 3
7 7
8 1
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11 10
12 6
13 5
14 2
15 17
16 5
17
A study on the hydrological characters in the five river - catchments in Jiangxi Province.
3
18 10
19 0
20
EXTREME RAINFALL FREQUENCY ANALYSIS FOR LOUISIANA
3

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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