Peter C. Tay

485 citations
34 papers · 307 · h-index 8

Impact in

Papers in

Peter C. Tay

32 papers receiving 281 citations

Peers

Peter C. Tay
Comparison fields: 5 of 54
  • Media Technology 99
  • Computer Vision and Pattern Recognition 228
  • Radiology, Nuclear Medicine and Imaging 63
  • Signal Processing 18
  • Biomedical Engineering 54
Replace R. C. Chauhan with:
R. C. Chauhan India
Xuli Zong United States
Youlian Zhu China
Xiao-Jiao Mao China
Ruturaj G. Gavaskar India
R. Periyasamy India
G. Bozdagi United States
Dake Zhou China
Peter C. Tay relative to R. C. Chauhan India R. C. Chauhan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter C. Tay

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Tay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter C. Tay. 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 Peter C. Tay. The network helps show where Peter C. Tay may publish in the future.

Co-authors

The 16 scholars most cited alongside Peter C. Tay, 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 Peter C. Tay Line = papers co-authored together Peter C. Tay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010101
2 200640
3 201031
4 200630
5 201012
6 20049
7 20098
8
Determination of the number of texture segments using wavelets
20017
9 20037
10 20087
11 20196
12 20046
13 20176
14 20065
15 20024
16 20103
17 20123
18 20173
19 20102
20 20032

About Peter C. Tay

Peter C. Tay is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Media Technology, Signal Processing and Computational Mechanics, having authored 34 papers that have together received 307 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (17 papers), Medical Image Segmentation Techniques (7 papers), Advanced Image Fusion Techniques (4 papers), Machine Fault Diagnosis Techniques (4 papers), Ultrasound Imaging and Elastography (3 papers), Image Retrieval and Classification Techniques (3 papers), Digital Filter Design and Implementation (3 papers) and Mathematical Analysis and Transform Methods (3 papers). The work is most often cited by research in Media Technology (99 citations), Computer Vision and Pattern Recognition (228 citations), Radiology, Nuclear Medicine and Imaging (63 citations), Signal Processing (18 citations) and Biomedical Engineering (54 citations). Peter C. Tay has collaborated with scholars based in United States. Frequent co-authors include Scott T. Acton, John A. Hossack, Joseph Havlicek, Robert Adams, James Z. Zhang, Yiming Ma, Victor DeBrunner, Yanjun Yan, H. Bora Karayaka and Hongda Shen. Their work appears in journals such as Digital Signal Processing, IEEE Transactions on Image Processing, Computerized Medical Imaging and Graphics, Journal of Signal Processing Systems and SHILAP Revista de lepidopterología.

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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