Haoying Fu

10 papers and 172 indexed citations i.

About

Haoying Fu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Materials Chemistry. According to data from OpenAlex, Haoying Fu has authored 10 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 3 papers in Materials Chemistry. Recurrent topics in Haoying Fu’s work include Image and Signal Denoising Methods (4 papers), Nuclear Materials and Properties (3 papers) and Inverse Problems in Mathematical Physics and Imaging (3 papers). Haoying Fu is often cited by papers focused on Image and Signal Denoising Methods (4 papers), Nuclear Materials and Properties (3 papers) and Inverse Problems in Mathematical Physics and Imaging (3 papers). Haoying Fu collaborates with scholars based in United States, Hong Kong and France. Haoying Fu's co-authors include Jesse L. Barlow, Michael K. Ng, Mila Nikolova, Kostadin Ivanov, Tom La Porta, Yusuke Matsui, Piotr Berman, M.J. Irwin, Wensheng Zhang and Guiling Wang and has published in prestigious journals such as SIAM Journal on Scientific Computing, Linear Algebra and its Applications and Annals of Nuclear Energy.

In The Last Decade

Co-authorship network of co-authors of Haoying Fu i

Fields of papers citing papers by Haoying Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haoying Fu

Since Specialization
Citations

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

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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2025