Fanny Yang

13 papers and 76 indexed citations i.

About

Fanny Yang is a scholar working on Artificial Intelligence, Radiation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fanny Yang has authored 13 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Radiation and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fanny Yang’s work include Advanced X-ray Imaging Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). Fanny Yang is often cited by papers focused on Advanced X-ray Imaging Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). Fanny Yang collaborates with scholars based in United States, Germany and Switzerland. Fanny Yang's co-authors include Holger Boche, Volker Pohl, Martin J. Wainwright, Yuting Wei, Kamyar Azizzadenesheli, Sivaraman Balakrishnan, Animashree Anandkumar, Anqi Liu, Aaditya Ramdas and Michael I. Jordan and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Fourier Analysis and Applications and Sampling Theory Signal Processing and Data Analysis.

In The Last Decade

Co-authorship network of co-authors of Fanny Yang i

Fields of papers citing papers by Fanny Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fanny Yang

Since Specialization
Citations

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