Simon Y. Foo

2.1k citations

84 papers · 1.6k · 1 hit paper · h-index 20

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

Artificial Intelligence 30
- Neural Networks and Applications 15
- Evolutionary Algorithms and Applications 5
Electrical and Electronic Engineering 38
- solar cell performance optimization 8
- Chalcogenide Semiconductor Thin Films 4
- Advanced Measurement and Detection Methods 4

Co-authors: Jobeda Jamal Khanam (6 shared papers)Wenrui Huang (1 shared paper)Anke Meyer‐Baese (15 shared papers)Yoshiyasu Takefuji (4 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 (2 papers)Computer Communications (1 paper)Computer (1 paper)Nanomaterials (1 paper)
Partner nations: United States Germany Australia

In The Last Decade

Simon Y. Foo

81 papers receiving 1.5k citations

Simon Y. Foo's Hit Papers

align trajectories log scale

A comparison of machine learning algorithms for diabetes prediction 2021 · 323 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2021 ICT Express

Peers

Countries citing papers authored by Simon Y. Foo

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Simon Y. Foo Line = papers co-authored together Simon Y. Foo links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	A comparison of machine learning algorithms for diabetes prediction ICT Express ·Jobeda Jamal Khanam, Simon Y. Foo Hit paper breakdown →	2021	323
2	Neural network modeling of salinity variation in Apalachicola River Water Research ·Wenrui Huang, Simon Y. Foo	2002	163
3	Forecasting of Electric Load Using a Hybrid LSTM-Neural Prophet Model Energies ·Md Jamal Ahmed Shohan, Omar Faruque, Simon Y. Foo	2022	76
4	Neural network-based EKG pattern recognition Engineering Applications of Artificial Intelligence ·Simon Y. Foo, Geoffrey W. Stuart, Bruce A. Harvey, Anke Meyer‐Baese	2002	70
5	Local exponential stability of competitive neural networks with different time scales Engineering Applications of Artificial Intelligence ·Anke Meyer‐Baese, Sergei S. Pilyugin, Axel Wismüller, Simon Y. Foo	2004	56
6	Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing Machine Learning and Knowledge Extraction ·Xuanchen Xiang, Simon Y. Foo	2021	49
7	Medical image compression using topology-preserving neural networks Engineering Applications of Artificial Intelligence ·Anke Meyer‐Baese, Karsten Jancke, Axel Wismüller, Simon Y. Foo, Thomas Martinetz	2004	47
8	Hand pose estimation for american sign language recognition Jason Isaacs, Simon Y. Foo	2004	46
9	A Stochastic Digital Implementation of a Neural Network Controller for Small Wind Turbine Systems IEEE Transactions on Power Electronics ·Huaxuan Li, Da Zhang, Simon Y. Foo	2006	40
10	A rule-based machine vision system for fire detection in aircraft dry bays and engine compartments Knowledge-Based Systems ·Simon Y. Foo	1996	32
11	Analog components for the VLSI of neural networks IEEE Circuits and Devices Magazine ·Simon Y. Foo, L.R. Anderson, Yoshiyasu Takefuji	1990	32
12	A link availability-based QoS-aware routing protocol for mobile ad hoc sensor networks Computer Communications ·Ming Yu, Aniket Malvankar, Wei Su, Simon Y. Foo	2007	31
13	A fuzzy logic approach to fire detection in aircraft dry bays and engine compartments IEEE Transactions on Industrial Electronics ·Simon Y. Foo	2000	30
14	Modeling of High-Efficiency Multi-Junction Polymer and Hybrid Solar Cells to Absorb Infrared Light Polymers ·Jobeda Jamal Khanam, Simon Y. Foo	2019	28
15	Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning Engineering Applications of Artificial Intelligence ·Thorsten Twellmann, Anke Meyer‐Baese, Oliver Lange, Simon Y. Foo, Tim W. Nattkemper	2007	27
16	Multi-stage optimization of a deep model: A case study on ground motion modeling PLoS ONE ·Amirhessam Tahmassebi, Amir H. Gandomi, Simon James Fong, Anke Meyer‐Baese, Simon Y. Foo	2018	26
17	Optimized Naive‐Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification Complexity ·Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer‐Baese	2018	26
18	Scaling properties of neural networks for job-shop scheduling Neurocomputing ·Simon Y. Foo, Yoshiyasu Takefuji, Harold H Szu	1995	24
19	Modeling of a photovoltaic array in MATLAB simulink and maximum power point tracking using neural network Jobeda Jamal Khanam, Simon Y. Foo	2018	23
20	A speed and accuracy test of backpropagation and RBF neural networks for small-signal models of active devices Engineering Applications of Artificial Intelligence ·Diego Langoni, Mark H. Weatherspoon, Simon Y. Foo, Hector A. Martinez	2006	22

About Simon Y. Foo

Simon Y. Foo is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Automotive Engineering and Computer Networks and Communications, having authored 84 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), solar cell performance optimization (8 papers), Advanced Battery Technologies Research (8 papers), Photovoltaic System Optimization Techniques (5 papers), Evolutionary Algorithms and Applications (5 papers), Face and Expression Recognition (4 papers), Chalcogenide Semiconductor Thin Films (4 papers) and Advanced Measurement and Detection Methods (4 papers). The work is most often cited by research in Health Information Management (266 citations), Artificial Intelligence (525 citations), Human-Computer Interaction (55 citations), Signal Processing (98 citations) and Computer Vision and Pattern Recognition (177 citations). Simon Y. Foo has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Jobeda Jamal Khanam, Wenrui Huang, Anke Meyer‐Baese, Yoshiyasu Takefuji, Omar Faruque, Axel Wismüller, Mark H. Weatherspoon, Indranil Bhattacharya, Geoffrey W. Stuart and Huaxuan Li. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Neurocomputing, Computer Communications, Computer and Nanomaterials.

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.

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Simon Y. Foo's Hit Papers

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