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
-
- Advanced Clustering Algorithms Research 5
- 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)Information Sciences (1 paper)Data Mining and Knowledge Discovery (1 paper)Proteins Structure Function and Bioinformatics (1 paper)IEEE Intelligent Systems (1 paper)
- Partner nations
- SingaporeUnited Arab EmiratesUnited States
In The Last Decade
Kelvin Sim
23 papers receiving 392 citations
Peers
Comparison fields: 5 of 81
- Signal Processing 73
- Artificial Intelligence 217
- Computer Vision and Pattern Recognition 118
- Information Systems 121
- 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 | 107 | |
| 2 | Detecting click fraud in online advertising: a data mining approach | 2014 | 45 |
| 3 | 2006 | 37 | |
| 4 | 2008 | 29 | |
| 5 | 2007 | 27 | |
| 6 | 2010 | 26 | |
| 7 | 2009 | 22 | |
| 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 430 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Advanced Clustering Algorithms Research (5 papers), Face and Expression Recognition (3 papers), Context-Aware Activity Recognition Systems (3 papers), Stock Market Forecasting Methods (3 papers), Time Series Analysis and Forecasting (3 papers), Rough Sets and Fuzzy Logic (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Signal Processing (73 citations), Artificial Intelligence (217 citations), Computer Vision and Pattern Recognition (118 citations), Information Systems (121 citations) and Computational Mathematics (3 citations). Kelvin Sim has collaborated with scholars based in Singapore, United Arab Emirates and United States. Frequent co-authors include Vivekanand Gopalkrishnan, Jinyan Li, Guimei Liu, Gao Cong, Arthur Zimek, Limsoon Wong, Zeyar Aung, Suryani Lukman, Clifton Phua and Jit Biswas. Their work appears in journals such as Statistical Analysis and Data Mining The ASA Data Science Journal, Information Sciences, Data Mining and Knowledge Discovery, Proteins Structure Function and Bioinformatics and IEEE Intelligent Systems.
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.