Choong Seng Boon

469 total citations
18 papers, 325 citations indexed

About

Choong Seng Boon is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Numerical Analysis. According to data from OpenAlex, Choong Seng Boon has authored 18 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 1 paper in Numerical Analysis. Recurrent topics in Choong Seng Boon's work include Video Coding and Compression Technologies (12 papers), Advanced Data Compression Techniques (10 papers) and Advanced Vision and Imaging (8 papers). Choong Seng Boon is often cited by papers focused on Video Coding and Compression Technologies (12 papers), Advanced Data Compression Techniques (10 papers) and Advanced Vision and Imaging (8 papers). Choong Seng Boon collaborates with scholars based in Japan, Italy and Germany. Choong Seng Boon's co-authors include Yoshinori Suzuki, Thiow Keng Tan, Yutaka Suzuki, Minoru Kobayashi, Minoru Etoh, Fred W. Wubs, Onur G. Guleryuz, Sandeep Kanumuri, Takayuki Hamamoto and M. Reha Civanlar and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing Image Communication and ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik.

In The Last Decade

Choong Seng Boon

16 papers receiving 311 citations

Peers

Choong Seng Boon
Comparison fields: 5 of 25
  • Computer Vision and Pattern Recognition 309
  • Signal Processing 249
  • Computational Mechanics 16
  • Media Technology 13
  • Electrical and Electronic Engineering 7
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Citations per field, relative to Choong Seng Boon
Choong Seng Boon · 1×
Citations per year, relative to Choong Seng Boon
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Countries citing papers authored by Choong Seng Boon

Since Specialization
Citations

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

Fields of papers citing papers by Choong Seng Boon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Choong Seng Boon. 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 Choong Seng Boon. The network helps show where Choong Seng Boon may publish in the future.

Co-authorship network of co-authors of Choong Seng Boon

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 3
3 7
4 3
5 1
6 32
7 58
8 126
9 2
10 13
11 7
12 50
13 1
14 1
15 7
16
An Image Coding Scheme Using Opacity Information
2
17 2
18 9

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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