Say Wei Foo

1.6k total citations · 1 hit paper
56 papers, 1.1k citations indexed

About

Say Wei Foo is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Say Wei Foo has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 30 papers in Signal Processing and 18 papers in Artificial Intelligence. Recurrent topics in Say Wei Foo's work include Speech and Audio Processing (20 papers), Medical Image Segmentation Techniques (10 papers) and Music and Audio Processing (10 papers). Say Wei Foo is often cited by papers focused on Speech and Audio Processing (20 papers), Medical Image Segmentation Techniques (10 papers) and Music and Audio Processing (10 papers). Say Wei Foo collaborates with scholars based in Singapore, United Kingdom and Netherlands. Say Wei Foo's co-authors include Liyanage C. De Silva, Tin Lay Nwe, Jierong Cheng, Yong Lian, Jing Cheng, Li Dong, Shankar Krishnan, Huan Zheng, Ya Jun Yu and Yu‐Sheng Lin and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Magnetics.

In The Last Decade

Say Wei Foo

51 papers receiving 1.0k citations

Hit Papers

Speech emotion recognition using hidden Markov models 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Say Wei Foo Singapore 11 589 588 421 382 110 56 1.1k
Tin Lay Nwe Singapore 18 717 1.2× 862 1.5× 461 1.1× 613 1.6× 116 1.1× 49 1.5k
Panagiotis Tzirakis United Kingdom 15 824 1.4× 492 0.8× 354 0.8× 479 1.3× 33 0.3× 29 1.4k
Ya Li China 21 601 1.0× 362 0.6× 350 0.8× 604 1.6× 16 0.1× 120 1.3k
Stavros Petridis United Kingdom 19 317 0.5× 783 1.3× 483 1.1× 439 1.1× 29 0.3× 66 1.3k
Wen-Sheng Chu United States 16 835 1.4× 272 0.5× 1.2k 2.8× 267 0.7× 29 0.3× 26 1.5k
Çiğdem Eroğlu Erdem Türkiye 17 295 0.5× 323 0.5× 676 1.6× 149 0.4× 14 0.1× 63 1.0k
Engin Erzin Türkiye 20 271 0.5× 892 1.5× 657 1.6× 480 1.3× 51 0.5× 112 1.5k
M. Fatih Demirci Türkiye 14 312 0.5× 326 0.6× 516 1.2× 218 0.6× 21 0.2× 55 957
Jouni Pohjalainen Finland 16 156 0.3× 597 1.0× 165 0.4× 615 1.6× 19 0.2× 44 998
Tuomo Raitio Finland 20 483 0.8× 903 1.5× 166 0.4× 1.2k 3.0× 17 0.2× 58 1.5k

Countries citing papers authored by Say Wei Foo

Since Specialization
Citations

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

Fields of papers citing papers by Say Wei Foo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Say Wei Foo. 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 Say Wei Foo. The network helps show where Say Wei Foo may publish in the future.

Co-authorship network of co-authors of Say Wei Foo

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

All Works

20 of 20 papers shown
1.
Foo, Say Wei, et al.. (2006). Automated Endocardial Boundary Detection using Dynamic Directional Gradient Vector Flow Snakes. DR-NTU (Nanyang Technological University). 62–66. 1 indexed citations
2.
Cheng, Jing, et al.. (2006). Watershed-Presegmented Snake for Boundary Detection and Tracking of Left Ventricle in Echocardiographic Images. IEEE Transactions on Information Technology in Biomedicine. 10(2). 414–416. 36 indexed citations
3.
Cheng, Jierong & Say Wei Foo. (2006). Dynamic directional gradient vector flow for snakes. IEEE Transactions on Image Processing. 15(6). 1563–1571. 91 indexed citations
4.
Cheng, Jierong, et al.. (2005). Boundary detection in echocardiographic images by directional gradient vector flow. DR-NTU (Nanyang Technological University). 163–166. 3 indexed citations
5.
Nwe, Tin Lay, Say Wei Foo, & Liyanage C. De Silva. (2004). Detection of stress and emotion in speech using traditional and FFT based log energy features. 3. 1619–1623. 39 indexed citations
6.
Foo, Say Wei. (2003). Speaker Recognition Using Adaptively Boosted Classifiers. IEICE Transactions on Information and Systems. 86(3). 474–482. 1 indexed citations
7.
Nwe, Tin Lay, Say Wei Foo, & Liyanage C. De Silva. (2003). Stress Classification Using Subband Based Features. IEICE Transactions on Information and Systems. 86(3). 565–573. 9 indexed citations
8.
Foo, Say Wei, et al.. (2003). Application of FRM filters for musical notes separation. cas 33. 731–734 Vol.1.
9.
Lim, Yong Ching, Ya Jun Yu, Huan Zheng, & Say Wei Foo. (2003). FPGA Implementation of Digital Filters Synthesized Using the FRM Technique. Circuits Systems and Signal Processing. 22(2). 18 indexed citations
10.
Nwe, Tin Lay, Say Wei Foo, & Liyanage C. De Silva. (2003). Speech emotion recognition using hidden Markov models. Speech Communication. 41(4). 603–623. 655 indexed citations breakdown →
11.
Foo, Say Wei, et al.. (2003). Transcription of polyphonic signals using fast filter bank. 3. III–241. 3 indexed citations
12.
Foo, Say Wei, et al.. (2002). A New Bit Allocation Method for Low Delay Audio Coding at Low Bit Rates. Journal of the Audio Engineering Society. 1 indexed citations
13.
Foo, Say Wei, et al.. (2002). Application of a Concatenated Coding System with Convolutional Codes and Reed-Solomon Codes for MPEG Advanced Audio Coding. Journal of the Audio Engineering Society.
14.
Foo, Say Wei & Jie Wen. (2002). A reliable and flexible architecture based on CORBA and mobile agents for e-commerce. 5. 211–216. 2 indexed citations
15.
Foo, Say Wei, et al.. (2002). Speaker recognition using adaptively boosted decision tree classifier. IEEE International Conference on Acoustics Speech and Signal Processing. 1. I–157. 7 indexed citations
16.
Foo, Say Wei, et al.. (2002). BOOSTING OF HIDDEN MARKOV MODELS AND THE APPLICATION TO VISUAL SPEECH ANALYSIS. 358–364. 1 indexed citations
17.
Foo, Say Wei, et al.. (2002). An adaptive audio watermarking system. 2. 509–513. 28 indexed citations
18.
Foo, Say Wei & Ling Shen. (2001). Separation of periodic signals using non-uniform embedding. DR-NTU (Nanyang Technological University). 1 indexed citations
19.
Bergmans, J.W.M., et al.. (2001). Characterization with embedded synchronization for read-write channels. IEEE Transactions on Magnetics. 37(4). 1953–1956. 3 indexed citations
20.
Foo, Say Wei, et al.. (1982). Design of nonrecursive quadrature mirror filters. IEE Proceedings G (Electronic Circuits and Systems). 129(3). 61–61. 3 indexed citations

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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