Kok Swee Sim
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- AI in cancer detection 7
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- Electron and X-Ray Spectroscopy Techniques 12
- Co-authors
- Fung Fung Ting (6 shared papers)Shing Chiang Tan (14 shared papers)Bruno A. Latella (2 shared papers)I.M. Low (2 shared papers)Mohammed Nasser Al-Andoli (5 shared papers)J. Lane (1 shared paper)Chee Peng Lim (8 shared papers)Patrick Schmidt (1 shared paper)
In The Last Decade
Kok Swee Sim
54 papers receiving 838 citations
Peers
Comparison fields: 5 of 108
- Neurology 146
- Artificial Intelligence 407
- Radiology, Nuclear Medicine and Imaging 256
- Structural Biology 11
- Computer Vision and Pattern Recognition 156
Countries citing papers authored by Kok Swee Sim
This map shows the geographic impact of Kok Swee 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 Kok Swee Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kok Swee Sim more than expected).
Fields of papers citing papers by Kok Swee Sim
This network shows the impact of papers produced by Kok Swee 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 Kok Swee Sim. The network helps show where Kok Swee Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Kok Swee 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 324 | |
| 2 | 2006 | 98 | |
| 3 | 2017 | 87 | |
| 4 | 2010 | 36 | |
| 5 | 2022 | 33 | |
| 6 | 2006 | 28 | |
| 7 | 2004 | 27 | |
| 8 | 2021 | 22 | |
| 9 | 2017 | 18 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 15 | |
| 12 | 2017 | 14 | |
| 13 | 2023 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2005 | 10 | |
| 16 | 2014 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2007 | 6 |
About Kok Swee Sim
Kok Swee Sim is a scholar working on Artificial Intelligence, Surfaces, Coatings and Films, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 67 papers that have together received 872 indexed citations. Recurring topics across this work include Electron and X-Ray Spectroscopy Techniques (12 papers), EEG and Brain-Computer Interfaces (9 papers), AI in cancer detection (7 papers), Industrial Vision Systems and Defect Detection (6 papers), Brain Tumor Detection and Classification (6 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Advancements in Photolithography Techniques (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Neurology (146 citations), Artificial Intelligence (407 citations), Radiology, Nuclear Medicine and Imaging (256 citations), Structural Biology (11 citations) and Computer Vision and Pattern Recognition (156 citations). Kok Swee Sim has collaborated with scholars based in Malaysia, Australia and Singapore. Frequent co-authors include Fung Fung Ting, Shing Chiang Tan, Bruno A. Latella, I.M. Low, Mohammed Nasser Al-Andoli, J. Lane, Chee Peng Lim, Patrick Schmidt, Martin P. McGrath and David Lawrence. Their work appears in journals such as IEEE Access, Composites Part A Applied Science and Manufacturing, Applied Physics Letters, SpringerPlus and Electronics Letters.
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.