Chee-Way Chong
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Advanced Vision and Imaging
- Face and Expression Recognition
- Handwritten Text Recognition Techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
- Remote-Sensing Image Classification
Papers in
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- Advanced Image and Video Retrieval Techniques 9
- Image Retrieval and Classification Techniques 9
- Medical Image Segmentation Techniques 7
- Video Analysis and Summarization 1
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- Genomics and Phylogenetic Studies 1
- Co-authors
- Ramakrishnan Mukundan (6 shared papers)Rosli Besar (4 shared papers)Raveendran Paramesran (1 shared paper)Fazly Salleh Abas (1 shared paper)Lee-Yeng Ong (3 shared papers)
- Journals
- Pattern Recognition (3 papers)Pattern Analysis and Applications (1 paper)International Journal of Pattern Recognition and Artificial Intelligence (1 paper)International Journal of Image and Graphics (1 paper)Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University) (1 paper)
- Partner nations
- MalaysiaNew Zealand
In The Last Decade
Chee-Way Chong
10 papers receiving 598 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 569
- Media Technology 108
- Signal Processing 37
- Acoustics and Ultrasonics 2
- Biophysics 12
Countries citing papers authored by Chee-Way Chong
This map shows the geographic impact of Chee-Way Chong'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 Chee-Way Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee-Way Chong more than expected).
Fields of papers citing papers by Chee-Way Chong
This network shows the impact of papers produced by Chee-Way Chong. 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 Chee-Way Chong. The network helps show where Chee-Way Chong may publish in the future.
Co-authors
The 5 scholars most cited alongside Chee-Way Chong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 210 | |
| 2 | 2003 | 149 | |
| 3 | 2003 | 122 | |
| 4 | 2003 | 70 | |
| 5 | 2003 | 69 | |
| 6 | 2009 | 14 | |
| 7 | An Efficient Algorithm for Fast Computation of Zernike Moments | 2002 | 9 |
| 8 | 2006 | 4 | |
| 9 | 2007 | 3 | |
| 10 | 2006 | 3 |
About Chee-Way Chong
Chee-Way Chong is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Oceanography, Aerospace Engineering and Infectious Diseases, having authored 10 papers that have together received 653 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (9 papers), Medical Image Segmentation Techniques (7 papers), Genomics and Phylogenetic Studies (1 paper), Video Analysis and Summarization (1 paper), Inertial Sensor and Navigation (1 paper) and Geophysics and Gravity Measurements (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (569 citations), Media Technology (108 citations), Signal Processing (37 citations), Acoustics and Ultrasonics (2 citations) and Biophysics (12 citations). Chee-Way Chong has collaborated with scholars based in Malaysia and New Zealand. Frequent co-authors include Ramakrishnan Mukundan, Rosli Besar, Raveendran Paramesran, Fazly Salleh Abas and Lee-Yeng Ong. Their work appears in journals such as Pattern Recognition, Pattern Analysis and Applications, International Journal of Pattern Recognition and Artificial Intelligence, International Journal of Image and Graphics and Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University).
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.