Woo Chaw Seng

1.1k total citations · 1 hit paper
39 papers, 776 citations indexed

About

Woo Chaw Seng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Woo Chaw Seng has authored 39 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Woo Chaw Seng's work include Advanced Steganography and Watermarking Techniques (13 papers), Image Retrieval and Classification Techniques (10 papers) and AI in cancer detection (8 papers). Woo Chaw Seng is often cited by papers focused on Advanced Steganography and Watermarking Techniques (13 papers), Image Retrieval and Classification Techniques (10 papers) and AI in cancer detection (8 papers). Woo Chaw Seng collaborates with scholars based in Malaysia, Pakistan and Saudi Arabia. Woo Chaw Seng's co-authors include Almas Abbasi, Ahmed Mueen, Jiang Du, Binh Pham, Mohammad Awedh, Shahaboddin Shamshirband, Raja Noor Ainon, Alexander Gegov, Manjeevan Seera and Palaiahnakote Shivakumara and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Woo Chaw Seng

38 papers receiving 685 citations

Hit Papers

A review of biometric technology along with trends and pr... 2014 2026 2018 2022 2014 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of biometric technology along with trends and prospects
    2014 281 citations Woo Chaw Seng, Almas Abbasi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Woo Chaw Seng Malaysia 13 379 198 151 135 100 39 776
Amitabha Chakrabarty Bangladesh 16 132 0.3× 73 0.4× 203 1.3× 117 0.9× 118 1.2× 85 760
Pravin Yannawar India 11 179 0.5× 324 1.6× 206 1.4× 69 0.5× 41 0.4× 35 575
Marco Mora Chile 15 172 0.5× 71 0.4× 192 1.3× 41 0.3× 274 2.7× 64 810
Yunqiang Chen China 6 369 1.0× 55 0.3× 247 1.6× 63 0.5× 61 0.6× 9 713
Nitin Kumar India 12 304 0.8× 210 1.1× 124 0.8× 117 0.9× 38 0.4× 64 544
M. Cevdet İnce Türkiye 9 270 0.7× 37 0.2× 392 2.6× 68 0.5× 59 0.6× 25 808
Jinrong Cui China 14 511 1.3× 124 0.6× 244 1.6× 39 0.3× 37 0.4× 48 791
Virender Kadyan India 14 176 0.5× 280 1.4× 332 2.2× 30 0.2× 106 1.1× 56 790
S. S. Bedi India 11 224 0.6× 45 0.2× 142 0.9× 72 0.5× 35 0.3× 41 578

Countries citing papers authored by Woo Chaw Seng

Since Specialization
Citations

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

Fields of papers citing papers by Woo Chaw Seng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Woo Chaw Seng

This figure shows the co-authorship network connecting the top 25 collaborators of Woo Chaw Seng. A scholar is included among the top collaborators of Woo Chaw Seng 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 Woo Chaw Seng. Woo Chaw Seng 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.
Seng, Woo Chaw, et al.. (2025). Potential-driven multi-learning particle swarm optimisation. Swarm and Evolutionary Computation. 96. 101993–101993. 2 indexed citations
2.
3.
Sabri, Aznul Qalid Md, et al.. (2024). Navigating the landscape of concept-supported XAI: Challenges, innovations, and future directions. Multimedia Tools and Applications. 83(25). 67147–67197. 6 indexed citations
4.
Seng, Woo Chaw, et al.. (2017). An improved genetic-fuzzy system for classification and data analysis. Expert Systems with Applications. 83. 49–62. 16 indexed citations
5.
Abbasi, Almas, Woo Chaw Seng, Rabha W. Ibrahim, & Saeed Islam. (2015). Invariant Domain Watermarking Using Heaviside Function of Order Alpha and Fractional Gaussian Field. PLoS ONE. 10(4). e0123427–e0123427. 3 indexed citations
6.
Abbasi, Almas, et al.. (2014). Multi Block based Image Watermarking in Wavelet Domain Using Genetic Programming. The International Arab Journal of Information Technology. 11. 582–589. 6 indexed citations
7.
Seng, Woo Chaw, et al.. (2013). Medical Image Segmentation using a Multi- Agent System Approach. The International Arab Journal of Information Technology. 10. 222–229. 18 indexed citations
8.
Mueen, Ahmed, et al.. (2013). Automatic Medical X-ray Image Classification using Annotation. Journal of Digital Imaging. 27(1). 77–89. 11 indexed citations
9.
Seng, Woo Chaw, et al.. (2011). Robust Watermarking using Hand Gesture for Enhanced Authentication. Malaysian Journal of Computer Science. 24(2). 98–110. 1 indexed citations
10.
Seng, Woo Chaw, et al.. (2011). Software agent with reinforcement learning approach for medical image segmentation. 26(2). 247–255. 12 indexed citations
11.
Seng, Woo Chaw, et al.. (2010). Handgrip Strength Evaluation Using Neuro Fuzzy Approach. Malaysian Journal of Computer Science. 23(3). 166–176. 1 indexed citations
12.
Ainon, Raja Noor, et al.. (2009). Content-Based Image Retrieval for Blood Cells. 3972. 332–335. 10 indexed citations
13.
Seng, Woo Chaw, et al.. (2009). Evaluation of a Content-Based Retrieval System for Blood Cell Images with Automated Methods. Journal of Medical Systems. 35(4). 571–578. 10 indexed citations
14.
Seng, Woo Chaw, et al.. (2009). A Content-Based Retrieval System for Blood Cells Images. 6. 412–415. 6 indexed citations
15.
Seng, Woo Chaw, Jiang Du, & Binh Pham. (2009). Semi Fragile Watermark With Self Authentication And Self Recovery. Malaysian Journal of Computer Science. 22(1). 64–84. 14 indexed citations
16.
Seng, Woo Chaw, Jiang Du, & Binh Pham. (2006). Geometric Invariant Domain for Image Watermarking. Lecture notes in computer science. 294–307. 9 indexed citations
17.
Seng, Woo Chaw, Jiang Du, & Binh Pham. (2005). Performance factors analysis of a wavelet-based watermarking method. QUT ePrints (Queensland University of Technology). 89–97. 17 indexed citations
18.
Du, Jiang, Woo Chaw Seng, & Binh Pham. (2005). Recovery of watermark using differential affine motion estimation. QUT ePrints (Queensland University of Technology). 81–88. 4 indexed citations
19.
Seng, Woo Chaw, Jiang Du, & Binh Pham. (2005). Multiple Watermark Method for Privacy Control and Tamper Detection in Medical Images.. QUT ePrints (Queensland University of Technology). 38 indexed citations
20.
Seng, Woo Chaw, Jiang Du, & Binh T. Pham. (2005). Geometrically robust digital image watermarking using scale normalization and flowline curvature. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5681. 528–528.

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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