Teoh Teik Toe
Impact in
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- Magnesium Alloys: Properties and Applications
Papers in
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- Advanced Neural Network Applications 8
- Digital Imaging for Blood Diseases 6
- Face and Expression Recognition 5
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- COVID-19 diagnosis using AI 14
- Co-authors
- Rong Zheng (1 shared paper)Shanghai Wei (1 shared paper)Fanglei Tong (1 shared paper)Wei Gao (1 shared paper)Geoffrey I. N. Waterhouse (1 shared paper)Xize Chen (1 shared paper)Siu‐Yeung Cho (6 shared papers)Pai Chet Ng (1 shared paper)
- Journals
- Applied Sciences (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Journal of The Electrochemical Society (1 paper)HKIE Transactions (1 paper)Intelligent Decision Technologies (1 paper)
In The Last Decade
Teoh Teik Toe
58 papers receiving 239 citations
Peers
Comparison fields: 5 of 91
- Biomaterials 38
- Health Information Management 13
- Neurology 23
- Signal Processing 26
- Health Informatics 3
Countries citing papers authored by Teoh Teik Toe
This map shows the geographic impact of Teoh Teik Toe'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 Teoh Teik Toe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teoh Teik Toe more than expected).
Fields of papers citing papers by Teoh Teik Toe
This network shows the impact of papers produced by Teoh Teik Toe. 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 Teoh Teik Toe. The network helps show where Teoh Teik Toe may publish in the future.
Co-authors
The 25 scholars most cited alongside Teoh Teik Toe, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 42 | |
| 2 | 2018 | 28 | |
| 3 | 2022 | 15 | |
| 4 | 2019 | 14 | |
| 5 | 2022 | 10 | |
| 6 | 2017 | 10 | |
| 7 | 2017 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2018 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2009 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2012 | 4 | |
| 17 | 2012 | 4 | |
| 18 | Emotional Advisor to help children with autism in social communication | 2012 | 3 |
| 19 | 2022 | 3 | |
| 20 | 2022 | 3 |
About Teoh Teik Toe
Teoh Teik Toe is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Neurology and Computer Networks and Communications, having authored 70 papers that have together received 250 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (17 papers), COVID-19 diagnosis using AI (14 papers), AI in cancer detection (9 papers), Advanced Neural Network Applications (8 papers), Digital Imaging for Blood Diseases (6 papers), Face and Expression Recognition (5 papers), Network Security and Intrusion Detection (5 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in Biomaterials (38 citations), Health Information Management (13 citations), Neurology (23 citations), Signal Processing (26 citations) and Health Informatics (3 citations). Teoh Teik Toe has collaborated with scholars based in Singapore, China and Australia. Frequent co-authors include Rong Zheng, Shanghai Wei, Fanglei Tong, Wei Gao, Geoffrey I. N. Waterhouse, Xize Chen, Siu‐Yeung Cho, Pai Chet Ng, Yuval Elovici and Tanupriya Choudhury. Their work appears in journals such as Applied Sciences, Computer Methods and Programs in Biomedicine, Journal of The Electrochemical Society, HKIE Transactions and Intelligent Decision Technologies.
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.