Simon Y. Foo
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Machine Learning in Healthcare
- Imbalanced Data Classification Techniques
- AI in cancer detection
Papers in
-
- solar cell performance optimization 8
- Advancements in Battery Materials 4
- Advanced Measurement and Detection Methods 4
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- Neural Networks and Applications 16
- Evolutionary Algorithms and Applications 5
- Co-authors
- Jobeda J Khanam (6 shared papers)Wenrui Huang (1 shared paper)Anke Meyer‐Baese (15 shared papers)Yoshiyasu Takefuji (5 shared papers)Omar Faruque (1 shared paper)Axel Wismüller (2 shared papers)Mark H. Weatherspoon (6 shared papers)Indranil Bhattacharya (7 shared papers)
- Journals
- Engineering Applications of Artificial Intelligence (11 papers)Neurocomputing (3 papers)IEEE Access (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)Energies (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Simon Y. Foo
82 papers receiving 1.5k citations
Simon Y. Foo's Hit Papers
Peers
Comparison fields: 5 of 134
- Health Information Management 261
- Artificial Intelligence 519
- Human-Computer Interaction 54
- Signal Processing 98
- Computer Vision and Pattern Recognition 181
Countries citing papers authored by Simon Y. Foo
This map shows the geographic impact of Simon Y. Foo'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 Simon Y. Foo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Y. Foo more than expected).
Fields of papers citing papers by Simon Y. Foo
This network shows the impact of papers produced by Simon Y. Foo. 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 Simon Y. Foo. The network helps show where Simon Y. Foo may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Y. Foo, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A comparison of machine learning algorithms for diabetes prediction Hit paper breakdown → | 2021 | 310 |
| 2 | 2002 | 168 | |
| 3 | 2022 | 75 | |
| 4 | 2002 | 70 | |
| 5 | 2004 | 55 | |
| 6 | 2004 | 47 | |
| 7 | 2004 | 46 | |
| 8 | 2021 | 45 | |
| 9 | 2006 | 40 | |
| 10 | 1990 | 32 | |
| 11 | 2007 | 31 | |
| 12 | 1996 | 31 | |
| 13 | 2000 | 29 | |
| 14 | 2019 | 28 | |
| 15 | 2007 | 28 | |
| 16 | 2018 | 25 | |
| 17 | 2018 | 25 | |
| 18 | 1995 | 23 | |
| 19 | 2006 | 22 | |
| 20 | 2018 | 21 |
About Simon Y. Foo
Simon Y. Foo is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 85 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural Networks and Applications (16 papers), Advanced Battery Technologies Research (8 papers), solar cell performance optimization (8 papers), Evolutionary Algorithms and Applications (5 papers), Photovoltaic System Optimization Techniques (5 papers), Face and Expression Recognition (4 papers), Advancements in Battery Materials (4 papers) and Advanced Measurement and Detection Methods (4 papers). The work is most often cited by research in Health Information Management (261 citations), Artificial Intelligence (519 citations), Human-Computer Interaction (54 citations), Signal Processing (98 citations) and Computer Vision and Pattern Recognition (181 citations). Simon Y. Foo has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Jobeda J Khanam, Wenrui Huang, Anke Meyer‐Baese, Yoshiyasu Takefuji, Omar Faruque, Axel Wismüller, Mark H. Weatherspoon, Indranil Bhattacharya, Geoffrey W. Stuart and H. Li. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Neurocomputing, IEEE Access, IEEE Transactions on Instrumentation and Measurement and Energies.
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.