Fan Yu

794 total citations
48 papers, 431 citations indexed

About

Fan Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Fan Yu has authored 48 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 8 papers in Atmospheric Science. Recurrent topics in Fan Yu's work include Remote Sensing and Land Use (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Energy, Environment, Economic Growth (5 papers). Fan Yu is often cited by papers focused on Remote Sensing and Land Use (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Energy, Environment, Economic Growth (5 papers). Fan Yu collaborates with scholars based in China, United States and France. Fan Yu's co-authors include Xiaoyong Zhuge, Yanmin Qian, James Cheng, Yuan Wang, Xiao Yan, Yuzhen Huang, Zhenkun Cai, Jian Guan, Lei Xie and Yizhou Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Fan Yu

41 papers receiving 415 citations

Peers

Fan Yu
Comparison fields: 5 of 85
  • Artificial Intelligence 175
  • Computer Vision and Pattern Recognition 87
  • Signal Processing 84
  • Global and Planetary Change 64
  • Atmospheric Science 53
Replace Xuan Shi with:
Xuan Shi United States
Sibghat Ullah Bazai Pakistan
Monidipa Das India
Nouar AlDahoul Malaysia
G. Asencio–Cortés Spain
Sa-Kwang Song South Korea
Hosein Alizadeh Iran
Zijiang Zhu China
Guo Qingsheng China
Xuan Shi United States View profile →
Citations per field, relative to Fan Yu
Fan Yu · 1×
Citations per year, relative to Fan Yu
Fan Yu · 1×

Countries citing papers authored by Fan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Yu. A scholar is included among the top collaborators of Fan 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 Fan Yu. Fan 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 0
3 7
4 2
5 0
6 5
7 12
8 49
9 1
10 18
11 24
12 32
13 2
14 46
15 2
16 1
17 0
18 9
19
A method of cloud classification based on image entropy
1
20
Retrieval of the daytime pixel-level hourly rain rate using FY-2C′s dual-spectral imagery
2

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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