Xueyang Fu

188 total papers · 11.1k total citations
112 papers, 7.4k citations indexed

About

Xueyang Fu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Xueyang Fu has authored 112 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Computer Vision and Pattern Recognition, 37 papers in Media Technology and 8 papers in Artificial Intelligence. Recurrent topics in Xueyang Fu's work include Image Enhancement Techniques (55 papers), Advanced Image Processing Techniques (43 papers) and Image and Signal Denoising Methods (39 papers). Xueyang Fu is often cited by papers focused on Image Enhancement Techniques (55 papers), Advanced Image Processing Techniques (43 papers) and Image and Signal Denoising Methods (39 papers). Xueyang Fu collaborates with scholars based in China, Canada and United States. Xueyang Fu's co-authors include Xinghao Ding, Yue Huang, John Paisley, Delu Zeng, Yinghao Liao, Xiao–Ping Zhang, Jia‐Bin Huang, Zheng-Jun Zha, Xiangyong Cao and Yuwen Hu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Xueyang Fu

104 papers receiving 7.2k citations

Hit Papers

Removing Rain from Single... 2014 2026 2018 2022 2017 2016 2017 2017 2016 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xueyang Fu 6.6k 3.6k 461 254 203 112 7.4k
Wenhan Yang 6.3k 1.0× 2.2k 0.6× 275 0.6× 221 0.9× 339 1.7× 194 7.2k
Ke Gu 7.3k 1.1× 3.7k 1.0× 275 0.6× 682 2.7× 291 1.4× 168 8.4k
Chongyi Li 8.8k 1.3× 3.8k 1.0× 353 0.8× 390 1.5× 313 1.5× 126 9.9k
Wenqi Ren 6.8k 1.0× 3.2k 0.9× 321 0.7× 129 0.5× 401 2.0× 160 7.6k
Yu Li 4.8k 0.7× 1.8k 0.5× 345 0.7× 203 0.8× 653 3.2× 144 6.3k
Yuming Fang 6.8k 1.0× 2.6k 0.7× 278 0.6× 328 1.3× 505 2.5× 269 7.5k
Rajiv Soundararajan 5.7k 0.9× 2.5k 0.7× 236 0.5× 313 1.2× 120 0.6× 49 6.3k
Jinshan Pan 5.6k 0.9× 3.0k 0.8× 197 0.4× 99 0.4× 146 0.7× 98 6.0k
Srinivasa G. Narasimhan 7.1k 1.1× 3.3k 0.9× 628 1.4× 468 1.8× 182 0.9× 139 8.5k
Anush K. Moorthy 7.4k 1.1× 3.8k 1.0× 283 0.6× 593 2.3× 161 0.8× 38 8.0k

Countries citing papers authored by Xueyang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xueyang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueyang Fu

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

All Works

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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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