Li Deng

493 total papers · 53.6k total citations
317 papers, 30.3k citations indexed

About

Li Deng is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Li Deng has authored 317 papers receiving a total of 30.3k indexed citations (citations by other indexed papers that have themselves been cited), including 282 papers in Artificial Intelligence, 183 papers in Signal Processing and 47 papers in Computer Vision and Pattern Recognition. Recurrent topics in Li Deng's work include Speech Recognition and Synthesis (196 papers), Speech and Audio Processing (152 papers) and Music and Audio Processing (95 papers). Li Deng is often cited by papers focused on Speech Recognition and Synthesis (196 papers), Speech and Audio Processing (152 papers) and Music and Audio Processing (95 papers). Li Deng collaborates with scholars based in United States, Canada and United Kingdom. Li Deng's co-authors include Dong Yu, Xiaodong He, Abdelrahman Mohamed, Geoffrey E. Hinton, Brian Kingsbury, George E. Dahl, Andrew Senior, Alex Acero, Navdeep Jaitly and Patrick Nguyen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and IEEE Transactions on Industrial Electronics.

In The Last Decade

Li Deng

304 papers receiving 28.0k citations

Hit Papers

Deep Neural Networks for ... 2010 2026 2015 2020 2012 2014 2014 2014 2016 2.0k 4.0k 6.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Li Deng 19.3k 9.8k 7.8k 2.0k 1.9k 317 30.3k
Dong Yu 17.7k 0.9× 12.2k 1.2× 5.1k 0.7× 1.8k 0.9× 1.0k 0.5× 375 26.8k
Kevin W. Bowyer 12.8k 0.7× 7.4k 0.8× 13.1k 1.7× 2.1k 1.1× 4.4k 2.3× 385 35.6k
Quoc V. Le 17.9k 0.9× 4.1k 0.4× 13.3k 1.7× 1.7k 0.8× 2.0k 1.0× 134 31.3k
Andrew Senior 11.0k 0.6× 7.0k 0.7× 5.3k 0.7× 1.9k 0.9× 1.0k 0.5× 89 21.6k
L. R. Rabiner 16.1k 0.8× 15.7k 1.6× 10.3k 1.3× 3.9k 1.9× 1.2k 0.6× 270 38.4k
John Shawe‐Taylor 16.3k 0.8× 3.6k 0.4× 10.3k 1.3× 1.9k 1.0× 2.1k 1.1× 315 36.6k
John Platt 12.3k 0.6× 3.2k 0.3× 8.2k 1.1× 1.4k 0.7× 2.1k 1.1× 170 27.3k
Zhi‐Hua Zhou 22.6k 1.2× 4.1k 0.4× 13.2k 1.7× 2.1k 1.0× 4.8k 2.5× 397 38.3k
Aaron Courville 15.2k 0.8× 3.0k 0.3× 15.1k 1.9× 2.1k 1.1× 1.3k 0.7× 103 36.1k
Peter E. Hart 14.7k 0.8× 4.3k 0.4× 13.2k 1.7× 2.1k 1.1× 2.7k 1.4× 83 38.6k

Countries citing papers authored by Li Deng

Since Specialization
Citations

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

Fields of papers citing papers by Li Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Li Deng. A scholar is included among the top collaborators of Li Deng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li Deng. Li Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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