Bill Chiu

3.3k citations
12 papers · 2.1k indexed · 1 hit paper · h-index 9
Topics
Human Motion and Animation (6 papers)Time Series Analysis and Forecasting (5 papers)Human Pose and Action Recognition (4 papers)
Partner nations
United StatesTaiwan

In The Last Decade

Bill Chiu

12 papers receiving 2.0k citations

Hit Papers

A symbolic representation of time series, with implicatio...200320262010201820032505007501000

Peers

Bill Chiu
Comparison fields: 5 of 124
  • Signal Processing 1.4k
  • Artificial Intelligence 1.0k
  • Computer Vision and Pattern Recognition 542
  • Control and Systems Engineering 301
  • Economics and Econometrics 297
Replace Peter Scheuermann with:
Peter Scheuermann United States
Suh-Yin Lee Taiwan
Thanawin Rakthanmanon United States
Kaushik Chakrabarti United States
Edwin M. Knorr Canada
Xiaopeng Xi China
Haifeng Chen United States
Yuan Qi China
A.W.-C. Fu Hong Kong
Chin‐Chia Michael Yeh United States
Bill Chiu relative to Peter Scheuermann United States Peter Scheuermann's profile →
Citations per field
00.5×5.2×
Peter Scheuermann · 1×
Citations per year

Countries citing papers authored by Bill Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Bill Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bill Chiu

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 19
2 5
3 109
4 7
5 147
6 29
7 18
8 2
9 38
10
A symbolic representation of time series, with implications for streaming algorithmsbreakdown →
1110
11 371
12 265

About Bill Chiu

Bill Chiu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 12 papers that have together received 2.1k indexed citations. Recurring topics across this work include Human Motion and Animation (6 papers), Time Series Analysis and Forecasting (5 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Signal Processing (1.4k citations), Artificial Intelligence (1.0k citations) and Computer Vision and Pattern Recognition (542 citations). Bill Chiu has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Eamonn Keogh, Stefano Lonardi, Jessica Lin, Victor Zordan, Dragomir Yankov, Hen‐Hong Chang, Kang‐Ping Lin and Po‐Yu Huang. Their work appears in journals such as ACM Transactions on Graphics, Complementary Therapies in Medicine and Graphical Models.

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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