Woo Chaw Seng
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Plant Science
- Co-authors
- Almas AbbasiAhmed MueenJiang DuBinh PhamMohammad AwedhShahaboddin ShamshirbandRaja Noor AinonAlexander Gegov
- Topics
- Advanced Steganography and Watermarking Techniques (13 papers)Image Retrieval and Classification Techniques (10 papers)AI in cancer detection (8 papers)
- Partner nations
- MalaysiaPakistanSaudi Arabia
In The Last Decade
Woo Chaw Seng
38 papers receiving 685 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 379
- Signal Processing 198
- Artificial Intelligence 151
- Information Systems 135
- Plant Science 100
Countries citing papers authored by Woo Chaw Seng
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 16 | |
| 6 | 3 | |
| 7 | Multi Block based Image Watermarking in Wavelet Domain Using Genetic Programming | 6 |
| 8 | Medical Image Segmentation using a Multi- Agent System Approach | 18 |
| 9 | 11 | |
| 10 | Robust Watermarking using Hand Gesture for Enhanced Authentication | 1 |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 12 | |
| 16 | Geometric Invariant Domain for Image Watermarking | 9 |
| 17 | Performance factors analysis of a wavelet-based watermarking method | 17 |
| 18 | Recovery of watermark using differential affine motion estimation | 4 |
| 19 | Multiple Watermark Method for Privacy Control and Tamper Detection in Medical Images. | 38 |
| 20 | 0 |
About Woo Chaw Seng
Woo Chaw Seng is a scholar working on Computer Vision and Pattern Recognition, Modeling and Simulation and Artificial Intelligence, having authored 39 papers that have together received 776 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (13 papers), Image Retrieval and Classification Techniques (10 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (379 citations), Signal Processing (198 citations) and Analytical Chemistry (83 citations). Woo Chaw Seng has collaborated with scholars based in Malaysia, Pakistan and Saudi Arabia. Frequent co-authors include Almas Abbasi, Ahmed Mueen, Jiang Du, Binh Pham, Mohammad Awedh, Shahaboddin Shamshirband, Raja Noor Ainon, Alexander Gegov, Rabha W. Ibrahim and Manjeevan Seera. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Pattern Recognition.
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.