Kelvin Sim
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Imbalanced Data Classification Techniques
Papers in
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- Advanced Clustering Algorithms Research 5
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- Gene expression and cancer classification 2
- Co-authors
- Vivekanand Gopalkrishnan (8 shared papers)Jinyan Li (7 shared papers)Guimei Liu (6 shared papers)Gao Cong (3 shared papers)Arthur Zimek (1 shared paper)Limsoon Wong (3 shared papers)Zeyar Aung (4 shared papers)Suryani Lukman (6 shared papers)
- Journals
- Statistical Analysis and Data Mining The ASA Data Science Journal (2 papers)Data Mining and Knowledge Discovery (1 paper)IEEE Intelligent Systems (1 paper)Information Sciences (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- SingaporeUnited StatesUnited Arab Emirates
In The Last Decade
Kelvin Sim
23 papers receiving 392 citations
Peers
Comparison fields: 5 of 79
- Signal Processing 71
- Artificial Intelligence 212
- Computer Vision and Pattern Recognition 119
- Information Systems 116
- Computational Mathematics 3
Countries citing papers authored by Kelvin Sim
This map shows the geographic impact of Kelvin Sim'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 Kelvin Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kelvin Sim more than expected).
Fields of papers citing papers by Kelvin Sim
This network shows the impact of papers produced by Kelvin Sim. 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 Kelvin Sim. The network helps show where Kelvin Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Kelvin Sim, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 105 | |
| 2 | Detecting click fraud in online advertising: a data mining approach | 2014 | 46 |
| 3 | 2006 | 36 | |
| 4 | 2008 | 29 | |
| 5 | 2007 | 27 | |
| 6 | 2010 | 26 | |
| 7 | 2009 | 23 | |
| 8 | 2010 | 20 | |
| 9 | 2012 | 15 | |
| 10 | 2010 | 14 | |
| 11 | 2009 | 10 | |
| 12 | 2011 | 10 | |
| 13 | 2010 | 10 | |
| 14 | 2007 | 9 | |
| 15 | 2015 | 8 | |
| 16 | 2011 | 8 | |
| 17 | 2010 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2017 | 6 | |
| 20 | 2015 | 5 |
About Kelvin Sim
Kelvin Sim is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 24 papers that have together received 429 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Advanced Clustering Algorithms Research (5 papers), Context-Aware Activity Recognition Systems (3 papers), Face and Expression Recognition (3 papers), Stock Market Forecasting Methods (3 papers), Rough Sets and Fuzzy Logic (3 papers), Time Series Analysis and Forecasting (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Signal Processing (71 citations), Artificial Intelligence (212 citations), Computer Vision and Pattern Recognition (119 citations), Information Systems (116 citations) and Computational Mathematics (3 citations). Kelvin Sim has collaborated with scholars based in Singapore, United States and United Arab Emirates. Frequent co-authors include Vivekanand Gopalkrishnan, Jinyan Li, Guimei Liu, Gao Cong, Arthur Zimek, Limsoon Wong, Zeyar Aung, Suryani Lukman, Jit Biswas and Clifton Phua. Their work appears in journals such as Statistical Analysis and Data Mining The ASA Data Science Journal, Data Mining and Knowledge Discovery, IEEE Intelligent Systems, Information Sciences and Proteins Structure Function and Bioinformatics.
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.