S. Chu

1.1k citations
7 papers · 740 indexed · 1 hit paper · h-index 3
Topics
Speech and Audio Processing (3 papers)Speech Recognition and Synthesis (3 papers)Music and Audio Processing (2 papers)
Journals
Applied SciencesAGU Fall Meeting Abstracts
Partner nations
United StatesChina

In The Last Decade

S. Chu

6 papers receiving 694 citations

Hit Papers

An online algorithm for segmenting time series20022026201020182002200400600

Peers

S. Chu
Comparison fields: 5 of 99
  • Signal Processing 428
  • Artificial Intelligence 308
  • Computer Vision and Pattern Recognition 114
  • Computer Networks and Communications 99
  • Economics and Econometrics 82
Replace Bilson Campana with:
Bilson Campana United States
Jesin Zakaria United States
Alain Ketterlin France
Liudmila Ulanova United States
Thanawin Rakthanmanon United States
Saket Sathe Switzerland
Amir Pourabdollah United Kingdom
Tung Kieu Denmark
Hoang Anh Dau United States
Xiangrui Cai China
S. Chu relative to Bilson Campana United States Bilson Campana's profile →
Citations per field
00.5×1.5×
Bilson Campana · 1×
Citations per year

Countries citing papers authored by S. Chu

Since Specialization
Citations

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

Fields of papers citing papers by S. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of S. Chu. A scholar is included among the top collaborators of S. 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 S. Chu. S. Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2
Online Detection of Mixed Layer Depth for Autonomous Underwater Vehicles
1
3 6
4 7
5 1
6
An online algorithm for segmenting time seriesbreakdown →
724
7
A Research Project to Investigate the Use of Conceptual Graphs for Processing and Representing Free Text Clinical Data to Support Intelligent Information Retrieval
1

About S. Chu

S. Chu is a scholar working on Signal Processing, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 7 papers that have together received 740 indexed citations. Recurring topics across this work include Speech and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Signal Processing (428 citations), Artificial Intelligence (308 citations) and Transportation (41 citations). S. Chu has collaborated with scholars based in United States and China. Frequent co-authors include Michael J. Pazzani, David M. Hart, Eamonn Keogh, Chiman Kwan, Jingwei Yin, Bulent Ayhan, Yunxin Zhao, Junping Yin, K. C. Ho and Mingxing Zhou. Their work appears in journals such as Applied Sciences and AGU Fall Meeting Abstracts.

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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