Selina Chu

31 total papers · 2.0k total citations
16 papers, 874 citations indexed

About

Selina Chu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Selina Chu has authored 16 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Selina Chu's work include Music and Audio Processing (8 papers), Speech and Audio Processing (6 papers) and Time Series Analysis and Forecasting (4 papers). Selina Chu is often cited by papers focused on Music and Audio Processing (8 papers), Speech and Audio Processing (6 papers) and Time Series Analysis and Forecasting (4 papers). Selina Chu collaborates with scholars based in United States. Selina Chu's co-authors include C.‐C. Jay Kuo, Shrikanth Narayanan, Michael J. Pazzani, Eamonn Keogh, David M. Hart, Maja Matarić, Shrikanth Narayanan, John D. Farrara, Steve Chien and Andrew F. Thompson and has published in prestigious journals such as Journal of Atmospheric and Oceanic Technology, IEEE Transactions on Audio Speech and Language Processing and Oceanography.

In The Last Decade

Selina Chu

16 papers receiving 816 citations

Hit Papers

Environmental Sound Recog... 2009 2026 2014 2020 2009 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Selina Chu 716 235 218 136 59 16 874
Emre Çakır 619 0.9× 268 1.1× 196 0.9× 100 0.7× 61 1.0× 11 725
Dimitrios Giannoulis 872 1.2× 444 1.9× 212 1.0× 105 0.8× 119 2.0× 18 991
Turab Iqbal 615 0.9× 320 1.4× 272 1.2× 61 0.4× 53 0.9× 11 819
Bo Li 555 0.8× 143 0.6× 613 2.8× 29 0.2× 55 0.9× 29 1.0k
Zhipeng Xie 203 0.3× 293 1.2× 241 1.1× 33 0.2× 20 0.3× 37 724
Jürgen T. Geiger 537 0.8× 279 1.2× 438 2.0× 33 0.2× 42 0.7× 35 892
J. Wilpon 744 1.0× 177 0.8× 796 3.7× 14 0.1× 23 0.4× 31 962
Yuxuan Wang 468 0.7× 224 1.0× 308 1.4× 20 0.1× 135 2.3× 32 748
Bilson Campana 763 1.1× 183 0.8× 494 2.3× 19 0.1× 41 0.7× 15 1.1k
Michael Gygli 315 0.4× 596 2.5× 131 0.6× 21 0.2× 42 0.7× 14 756

Countries citing papers authored by Selina Chu

Since Specialization
Citations

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

Fields of papers citing papers by Selina Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Selina Chu

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