Tee Connie
Impact in
- Signal Processing top 0.5%
- Biometric Identification and Security
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- Face recognition and analysis
- Advanced Steganography and Watermarking Techniques
- Face and Expression Recognition
Papers in
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- Human Pose and Action Recognition 17
- Advanced Steganography and Watermarking Techniques 14
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- Biometric Identification and Security 48
- Co-authors
- Andrew Beng Jin Teoh (51 shared papers)Michael Kah Ong Goh (72 shared papers)Thian Song Ong (41 shared papers)David Chek Ling Ngo (5 shared papers)David Ngo Chek Ling (3 shared papers)Zhe Jin (5 shared papers)Cheng-Yaw Low (5 shared papers)Pin Shen Teh (6 shared papers)
- Journals
- IEEE Access (4 papers)Multimedia Tools and Applications (4 papers)Pattern Analysis and Applications (3 papers)Expert Systems with Applications (2 papers)Image and Vision Computing (2 papers)
- Partner nations
- MalaysiaSouth KoreaUnited Kingdom
In The Last Decade
Tee Connie
108 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 112
- Signal Processing 1.3k
- Computer Vision and Pattern Recognition 1.2k
- Information Systems 684
- Human-Computer Interaction 150
- Safety Research 156
Countries citing papers authored by Tee Connie
This map shows the geographic impact of Tee Connie'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 Tee Connie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tee Connie more than expected).
Fields of papers citing papers by Tee Connie
This network shows the impact of papers produced by Tee Connie. 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 Tee Connie. The network helps show where Tee Connie may publish in the future.
Co-authors
The 25 scholars most cited alongside Tee Connie, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 225 | |
| 2 | 2008 | 165 | |
| 3 | 2004 | 147 | |
| 4 | 2011 | 87 | |
| 5 | Palmprint Recognition with PCA and ICA | 2003 | 79 |
| 6 | 2020 | 77 | |
| 7 | 2016 | 61 | |
| 8 | 2010 | 46 | |
| 9 | 2004 | 45 | |
| 10 | 2012 | 43 | |
| 11 | 2003 | 39 | |
| 12 | 2010 | 39 | |
| 13 | 2016 | 33 | |
| 14 | 2009 | 31 | |
| 15 | 2010 | 30 | |
| 16 | 2011 | 28 | |
| 17 | 2018 | 26 | |
| 18 | 2010 | 26 | |
| 19 | 2009 | 24 | |
| 20 | 2019 | 23 |
About Tee Connie
Tee Connie is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Biomedical Engineering and Artificial Intelligence, having authored 116 papers that have together received 1.8k indexed citations. Recurring topics across this work include Biometric Identification and Security (48 papers), Gait Recognition and Analysis (23 papers), User Authentication and Security Systems (21 papers), Human Pose and Action Recognition (17 papers), Advanced Steganography and Watermarking Techniques (14 papers), Hand Gesture Recognition Systems (13 papers), Dermatoglyphics and Human Traits (12 papers) and Vehicle License Plate Recognition (9 papers). The work is most often cited by research in Signal Processing (1.3k citations), Computer Vision and Pattern Recognition (1.2k citations), Information Systems (684 citations), Human-Computer Interaction (150 citations) and Safety Research (156 citations). Tee Connie has collaborated with scholars based in Malaysia, South Korea and United Kingdom. Frequent co-authors include Andrew Beng Jin Teoh, Michael Kah Ong Goh, Thian Song Ong, David Chek Ling Ngo, David Ngo Chek Ling, Zhe Jin, Cheng-Yaw Low, Pin Shen Teh, Kian Ming Lim and Chin Poo Lee. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Pattern Analysis and Applications, Expert Systems with Applications and Image and Vision Computing.
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.