Kelvin Sim
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Signal Processing top 10%
- Co-authors
- Vivekanand GopalkrishnanJinyan LiGuimei LiuGao CongArthur ZimekLimsoon WongZeyar AungSuryani Lukman
- Topics
- Data Mining Algorithms and Applications (6 papers)Advanced Clustering Algorithms Research (5 papers)Stock Market Forecasting Methods (3 papers)
- Journals
- Information SciencesProteins Structure Function and BioinformaticsIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- SingaporeUnited Arab EmiratesUnited States
In The Last Decade
Kelvin Sim
23 papers receiving 392 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 217
- Information Systems 121
- Computer Vision and Pattern Recognition 118
- Molecular Biology 93
- Signal Processing 73
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-authorship network of co-authors of Kelvin Sim
This figure shows the co-authorship network connecting the top 25 collaborators of Kelvin Sim. A scholar is included among the top collaborators of Kelvin Sim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kelvin Sim. Kelvin Sim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | Detecting click fraud in online advertising: a data mining approach | 45 |
| 7 | 3 | |
| 8 | 15 | |
| 9 | 107 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 14 | |
| 16 | 20 | |
| 17 | 10 | |
| 18 | 22 | |
| 19 | 29 | |
| 20 | 9 |
About Kelvin Sim
Kelvin Sim is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, 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) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Signal Processing (73 citations), Artificial Intelligence (217 citations) and Computer Vision and Pattern Recognition (118 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, Jit Biswas and Clifton Phua. Their work appears in journals such as Information Sciences, Proteins Structure Function and Bioinformatics and IEEE Transactions on Knowledge and Data Engineering.
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.