C.J. Tay

5.3k citations
212 papers · 4.4k · h-index 35

Impact in

Papers in

C.J. Tay

203 papers receiving 4.2k citations

Peers

C.J. Tay
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 2.7k
  • Media Technology 835
  • Mechanical Engineering 2.0k
  • Computational Mechanics 678
  • Geology 165
Replace Chenggen Quan with:
Chenggen Quan Singapore
Jiangtao Xi Australia
Jian Bai China
Xianyu Su China
Małgorzata Kujawińska Poland
Wei Yin China
Shijie Feng China
Qinghua Guo Australia
Jiaming Qian China
C. Wykes United Kingdom
C.J. Tay relative to Chenggen Quan Singapore Chenggen Quan's profile →
Citations per field
00.5×1.5×
Chenggen Quan · 1×
Citations per year

Countries citing papers authored by C.J. Tay

Since Specialization
Citations

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

Fields of papers citing papers by C.J. Tay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C.J. 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 C.J. Tay Line = papers co-authored together C.J. Tay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011301
2 2012234
3 2012195
4 2009167
5 2012134
6 2001106
7 201495
8 201271
9 201170
10 200570
11 201567
12 201667
13 200266
14 200965
15 201161
16 201658
17 201555
18 201152
19 201550
20 200347

About C.J. Tay

C.J. Tay is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Electrical and Electronic Engineering, Computational Mechanics and Media Technology, having authored 212 papers that have together received 4.4k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (143 papers), Advanced Measurement and Metrology Techniques (86 papers), Surface Roughness and Optical Measurements (45 papers), Image Processing Techniques and Applications (43 papers), Advanced Measurement and Detection Methods (22 papers), Digital Holography and Microscopy (21 papers), Advanced MEMS and NEMS Technologies (16 papers) and Structural Health Monitoring Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Media Technology (835 citations), Mechanical Engineering (2.0k citations), Computational Mechanics (678 citations) and Geology (165 citations). C.J. Tay has collaborated with scholars based in Singapore, France and China. Frequent co-authors include Chenggen Quan, Chengkuo Lee, Huicong Liu, H.M. Shang, Takeshi Kobayashi, Wen Chen, Yu Fu, S.L. Toh, Rihong Zhu and F.S. Chau. Their work appears in journals such as Optics Communications, Optics and Lasers in Engineering, Optics & Laser Technology, Optik and Measurement Science and Technology.

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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