Angela Fan

18 papers and 2.2k indexed citations i.

About

Angela Fan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Angela Fan has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Angela Fan’s work include Topic Modeling (15 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (6 papers). Angela Fan is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (6 papers). Angela Fan collaborates with scholars based in Israel, France and United States. Angela Fan's co-authors include Michael Auli, David Grangier, Alexei Baevski, Sergey Edunov, Sam Gross, Nathan Ng, Myle Ott, Yann Dauphin, Emily Dinan and Jason Weston and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Zurich Open Repository and Archive (University of Zurich) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of Angela Fan i

Fields of papers citing papers by Angela Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Angela Fan

Since Specialization
Citations

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