Li Fei-Fei

299 papers and 81.3k indexed citations i.

About

Li Fei-Fei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Li Fei-Fei has authored 299 papers receiving a total of 81.3k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Computer Vision and Pattern Recognition, 121 papers in Artificial Intelligence and 42 papers in Signal Processing. Recurrent topics in Li Fei-Fei’s work include Advanced Image and Video Retrieval Techniques (57 papers), Multimodal Machine Learning Applications (48 papers) and Human Pose and Action Recognition (42 papers). Li Fei-Fei is often cited by papers focused on Advanced Image and Video Retrieval Techniques (57 papers), Multimodal Machine Learning Applications (48 papers) and Human Pose and Action Recognition (42 papers). Li Fei-Fei collaborates with scholars based in United States, China and Hong Kong. Li Fei-Fei's co-authors include Jia Deng, Li-Jia Li, Richard Socher, Kai Li, Wei Dong, Andrej Karpathy, Michael S. Bernstein, Jonathan Krause, Olga Russakovsky and Hao Su and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Li Fei-Fei i

Fields of papers citing papers by Li Fei-Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li Fei-Fei. 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 Li Fei-Fei. The network helps show where Li Fei-Fei may publish in the future.

Countries citing papers authored by Li Fei-Fei

Since Specialization
Citations

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