Daben Liu

39 total papers · 581 total citations
19 papers, 390 citations indexed

About

Daben Liu is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daben Liu has authored 19 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daben Liu's work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (8 papers). Daben Liu is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (8 papers). Daben Liu collaborates with scholars based in United States. Daben Liu's co-authors include Francis Kubala, Richard Schwartz, Long Nguyen, J. Makhoul, John Makhoul, Amit Srivastava, Xiaodan Zhuang, Dimitra Vergyri, Nicolae Duta and John C. Henderson and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and The Journal of the Acoustical Society of America.

In The Last Decade

Daben Liu

15 papers receiving 293 citations

Author Peers

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

Author Last Decade Papers Cites
Daben Liu 323 239 89 24 15 19 390
K. Ries 275 0.9× 83 0.3× 46 0.5× 25 1.0× 16 1.1× 11 356
Kari Laurila 281 0.9× 281 1.2× 50 0.6× 18 0.8× 14 0.9× 18 366
Beatrice T. Oshika 365 1.1× 252 1.1× 30 0.3× 78 3.3× 16 1.1× 20 417
Andrew Morris 294 0.9× 261 1.1× 52 0.6× 21 0.9× 27 1.8× 26 391
Chenfei Wu 278 0.9× 112 0.5× 196 2.2× 19 0.8× 15 1.0× 23 389
Janne Pylkkönen 382 1.2× 112 0.5× 26 0.3× 18 0.8× 12 0.8× 15 413
Petra Geutner 332 1.0× 114 0.5× 32 0.4× 15 0.6× 8 0.5× 20 366
Daniel Willett 365 1.1× 207 0.9× 60 0.7× 26 1.1× 6 0.4× 40 417
Lars Maaløe 276 0.9× 121 0.5× 103 1.2× 22 0.9× 8 0.5× 18 383
D.B. Paul 394 1.2× 247 1.0× 65 0.7× 16 0.7× 12 0.8× 12 431

Countries citing papers authored by Daben Liu

Since Specialization
Citations

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

Fields of papers citing papers by Daben Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daben Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Daben Liu. A scholar is included among the top collaborators of Daben Liu 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 Daben Liu. Daben Liu 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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