Y. Le Cun

25 papers and 2.2k indexed citations i.

About

Y. Le Cun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Y. Le Cun has authored 25 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, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Y. Le Cun’s work include Neural Networks and Applications (8 papers), Handwritten Text Recognition Techniques (4 papers) and Blind Source Separation Techniques (3 papers). Y. Le Cun is often cited by papers focused on Neural Networks and Applications (8 papers), Handwritten Text Recognition Techniques (4 papers) and Blind Source Separation Techniques (3 papers). Y. Le Cun collaborates with scholars based in United States, Israel and Burundi. Y. Le Cun's co-authors include Y-Lan Boureau, Marc’Aurelio Ranzato, Vladimir Vapnik, Esther Levin, Harris Drucker, Karol Gregor, L. D. Jackel, J. S. Denker, Bernhard E. Boser and Eric Cosatto and has published in prestigious journals such as Physical Review Letters, IEEE Communications Magazine and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Y. Le Cun i

Fields of papers citing papers by Y. Le Cun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. Le Cun. 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 Y. Le Cun. The network helps show where Y. Le Cun may publish in the future.

Countries citing papers authored by Y. Le Cun

Since Specialization
Citations

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