E.C. Tan
Impact in
- Signal Processing top 5%
- Biometric Identification and Security
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- Face and Expression Recognition
Papers in
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- Advanced Data Compression Techniques 6
- Image and Signal Denoising Methods 4
- Image Retrieval and Classification Techniques 2
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- Digital Filter Design and Implementation 9
- Speech and Audio Processing 4
- Co-authors
- Baiying Lei (6 shared papers)Abdul Wahab (1 shared paper)Tianfu Wang (4 shared papers)Ahmed Elazab (4 shared papers)Dong Ni (2 shared papers)Siping Chen (2 shared papers)Jing Qin (2 shared papers)Shengli Li (1 shared paper)
In The Last Decade
E.C. Tan
28 papers receiving 435 citations
Peers
Comparison fields: 5 of 79
- Signal Processing 114
- Computer Vision and Pattern Recognition 167
- Health Informatics 9
- Neurology 46
- Artificial Intelligence 162
Countries citing papers authored by E.C. Tan
This map shows the geographic impact of E.C. Tan'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 E.C. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.C. Tan more than expected).
Fields of papers citing papers by E.C. Tan
This network shows the impact of papers produced by E.C. Tan. 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 E.C. Tan. The network helps show where E.C. Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside E.C. Tan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 104 | |
| 2 | 2017 | 80 | |
| 3 | 2020 | 62 | |
| 4 | 2020 | 61 | |
| 5 | 2018 | 34 | |
| 6 | 2018 | 30 | |
| 7 | 2015 | 23 | |
| 8 | 2000 | 17 | |
| 9 | 1982 | 9 | |
| 10 | 1998 | 9 | |
| 11 | 2000 | 3 | |
| 12 | 2003 | 3 | |
| 13 | 1982 | 3 | |
| 14 | 1996 | 3 | |
| 15 | 2000 | 3 | |
| 16 | 1998 | 3 | |
| 17 | 2002 | 2 | |
| 18 | 1982 | 2 | |
| 19 | 2002 | 2 | |
| 20 | 1983 | 2 |
About E.C. Tan
E.C. Tan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computational Mechanics and Oceanography, having authored 32 papers that have together received 466 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (9 papers), Advanced Data Compression Techniques (6 papers), Speech and Audio Processing (4 papers), Image and Signal Denoising Methods (4 papers), Advanced Adaptive Filtering Techniques (3 papers), Cryptography and Data Security (2 papers), Underwater Acoustics Research (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Signal Processing (114 citations), Computer Vision and Pattern Recognition (167 citations), Health Informatics (9 citations), Neurology (46 citations) and Artificial Intelligence (162 citations). E.C. Tan has collaborated with scholars based in Singapore, Australia and China. Frequent co-authors include Baiying Lei, Abdul Wahab, Tianfu Wang, Ahmed Elazab, Dong Ni, Siping Chen, Jing Qin, Shengli Li, Zhen Yu and Haijun Lei. Their work appears in journals such as Electronics Letters, IEEE Journal of Biomedical and Health Informatics, International Journal of Circuit Theory and Applications, IEEE Transactions on Consumer Electronics and IEEE Access.
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.