Simon Fong
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence top 0.2%
- Metaheuristic Optimization Algorithms Research
- Anomaly Detection Techniques and Applications
- AI in cancer detection
- Evolutionary Algorithms and Applications
Papers in
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- Metaheuristic Optimization Algorithms Research 53
- Data Stream Mining Techniques 51
- Anomaly Detection Techniques and Applications 35
- Evolutionary Algorithms and Applications 30
- Machine Learning and Data Classification 26
- Imbalanced Data Classification Techniques 21
-
- Time Series Analysis and Forecasting 34
Simon Fong
406 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Health Informatics 179
- Artificial Intelligence 2.8k
- Health Information Management 321
- Signal Processing 536
- Computer Vision and Pattern Recognition 942
Countries citing papers authored by Simon Fong
This map shows the geographic impact of Simon Fong'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 Fong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Fong more than expected).
Fields of papers citing papers by Simon Fong
This network shows the impact of papers produced by Simon Fong. 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 Fong. The network helps show where Simon Fong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Simon Fong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak | 2020 | 125 |
| 3 | 2020 | 116 | |
| 4 | 2020 | 10 | |
| 5 | 2020 | 16 | |
| 6 | 2019 | 21 | |
| 7 | A Fast Planner Detection Method in LiDAR Point Clouds Using GPU-based RANSAC. | 2018 | 2 |
| 8 | 2017 | 11 | |
| 9 | 2016 | 28 | |
| 10 | A joint optimization framework of sparse coding and discriminative clustering | 2015 | 16 |
| 11 | 2014 | 39 | |
| 12 | 2014 | 8 | |
| 13 | 2013 | 17 | |
| 14 | 2012 | 3 | |
| 15 | 2012 | 5 | |
| 16 | Social Network Collaborative Filtering Framework and Online Trust Factors: a Case Study on Facebook. | 2011 | 2 |
| 17 | An experimental comparison of decision trees in traditional data mining and data stream mining | 2010 | 4 |
| 18 | Hiding sensitive association rules using central tendency | 2010 | 9 |
| 19 | A hierarchical cluster based preprocessing methodology for Web Usage Mining | 2010 | 8 |
| 20 | Stream mining over fluctuating network traffic at variable data rates | 2010 | 2 |
About Simon Fong
Simon Fong is a scholar working on Artificial Intelligence, Signal Processing, Health Information Management, Information Systems and Health Informatics, having authored 428 papers that have together received 7.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (53 papers), Data Stream Mining Techniques (51 papers), Data Mining Algorithms and Applications (36 papers), Anomaly Detection Techniques and Applications (35 papers), Time Series Analysis and Forecasting (34 papers), Evolutionary Algorithms and Applications (30 papers), Machine Learning and Data Classification (26 papers) and Imbalanced Data Classification Techniques (21 papers). The work is most often cited by research in Health Informatics (179 citations), Artificial Intelligence (2.8k citations), Health Information Management (321 citations), Signal Processing (536 citations) and Computer Vision and Pattern Recognition (942 citations). Simon Fong has collaborated with scholars based in Macao, China and Australia. Frequent co-authors include Suash Deb, Nilanjan Dey, Raymond K. Wong, Xin‐She Yang, Jinyan Li, Jie Yang, Shigao Huang, Qi Zhao, Yan Zhuang and Rui Tang. Their work appears in journals such as Expert Systems with Applications, IT Professional, Sensors, Computerized Medical Imaging and Graphics 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.