Selina Chu

2.0k citations
16 papers · 881 · 1 hit paper · h-index 9

Impact in

Papers in

Selina Chu

16 papers receiving 824 citations

Selina Chu's Hit Papers

Environmental Sound Recognition With Time–Frequency Audio Features 2009 · 458 citations
4580+5+11Years since publication100200300400

Peers

Selina Chu
Comparison fields: 5 of 88
  • Signal Processing 715
  • Developmental Biology 136
  • Computer Vision and Pattern Recognition 234
  • Artificial Intelligence 219
  • Speech and Hearing 20
Replace Naoya Takahashi with:
Naoya Takahashi Japan
Huy Dat Tran Singapore
Jürgen T. Geiger Germany
Kurosh Madani France
Michael Gygli Switzerland
Sid‐Ahmed Selouani Canada
S. Chandrakala India
Zhanjiang Song China
Joan Claudi Socoró Spain
Frédéric Bimbot France
Selina Chu relative to Naoya Takahashi Japan Naoya Takahashi's profile →
Citations per field
00.5×5.2×
Naoya Takahashi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Selina Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Selina Chu Line = papers co-authored together Selina Chu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Environmental Sound Recognition With Time–Frequency Audio Features
Hit paper breakdown →
2009458
2 2002177
3 2006106
4 200862
5 201516
6
Content Analysis for Acoustic Environment Classification in Mobile Robots.
200612
7 20189
8
Unstructured audio classification for environment recognition
20088
9 20178
10 20097
11 20106
12
Composite-DBN for recognition of environmental contexts
20124
13 20014
14 20062
15
Adaptive AUV in-situ sensing system
20171
16 20051

About Selina Chu

Selina Chu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Oceanography and Ocean Engineering, having authored 16 papers that have together received 881 indexed citations. Recurring topics across this work include Music and Audio Processing (8 papers), Speech and Audio Processing (6 papers), Time Series Analysis and Forecasting (4 papers), Underwater Vehicles and Communication Systems (3 papers), Marine and coastal ecosystems (2 papers), Speech Recognition and Synthesis (2 papers), Oceanographic and Atmospheric Processes (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Signal Processing (715 citations), Developmental Biology (136 citations), Computer Vision and Pattern Recognition (234 citations), Artificial Intelligence (219 citations) and Speech and Hearing (20 citations). Selina Chu has collaborated with scholars based in United States. Frequent co-authors include C.‐C. Jay Kuo, Shrikanth Narayanan, Michael J. Pazzani, Eamonn Keogh, David M. Hart, Maja Matarić, Shrikanth Narayanan, Andrew F. Thompson, M.M. Flexas and Yi Chao. Their work appears in journals such as Oceanography, Journal of Atmospheric and Oceanic Technology, IEEE Transactions on Audio Speech and Language Processing, Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing and Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

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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