Theam Foo Ng
Impact in
- Media Technology top 5%
- Advanced Image Fusion Techniques
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- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Advanced Image Processing Techniques
Papers in
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- Evolutionary Algorithms and Applications 6
- Metaheuristic Optimization Algorithms Research 6
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- Face and Expression Recognition 3
- Medical Image Segmentation Techniques 2
- Advanced Neural Network Applications 2
- Co-authors
- Haidi Ibrahim (11 shared papers)Shir Li Wang (18 shared papers)Siok Yee Chan (3 shared papers)Minhaz Farid Ahmed (1 shared paper)Kian Lam Tan (1 shared paper)Chen Kim Lim (1 shared paper)Rostam Affendi Hamzah (2 shared papers)Siew Chin Neoh (2 shared papers)
In The Last Decade
Theam Foo Ng
38 papers receiving 463 citations
Peers
Comparison fields: 5 of 103
- Media Technology 108
- Computer Vision and Pattern Recognition 168
- Management, Monitoring, Policy and Law 52
- Education 109
- Signal Processing 31
Countries citing papers authored by Theam Foo Ng
This map shows the geographic impact of Theam Foo Ng'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 Theam Foo Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theam Foo Ng more than expected).
Fields of papers citing papers by Theam Foo Ng
This network shows the impact of papers produced by Theam Foo Ng. 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 Theam Foo Ng. The network helps show where Theam Foo Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Theam Foo Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 135 | |
| 2 | 2022 | 54 | |
| 3 | 2021 | 40 | |
| 4 | 2018 | 33 | |
| 5 | 2021 | 32 | |
| 6 | 2021 | 28 | |
| 7 | 2019 | 23 | |
| 8 | 2024 | 21 | |
| 9 | 2019 | 14 | |
| 10 | 2022 | 12 | |
| 11 | 2012 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2024 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2012 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2017 | 4 |
About Theam Foo Ng
Theam Foo Ng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Education and Management, Monitoring, Policy and Law, having authored 42 papers that have together received 488 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (6 papers), Metaheuristic Optimization Algorithms Research (6 papers), Sustainability in Higher Education (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Environmental Education and Sustainability (4 papers), Face and Expression Recognition (3 papers), Medical Image Segmentation Techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Media Technology (108 citations), Computer Vision and Pattern Recognition (168 citations), Management, Monitoring, Policy and Law (52 citations), Education (109 citations) and Signal Processing (31 citations). Theam Foo Ng has collaborated with scholars based in Malaysia, China and Australia. Frequent co-authors include Haidi Ibrahim, Shir Li Wang, Siok Yee Chan, Minhaz Farid Ahmed, Kian Lam Tan, Chen Kim Lim, Rostam Affendi Hamzah, Siew Chin Neoh, Lei Yuan and Mohd Wira Mohd Shafiei. Their work appears in journals such as The International Journal of Environmental and Science Education, Sustainability, International Journal of Sustainability in Higher Education, PeerJ Computer Science and Applied Sciences.
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.