Siang Meng Sim
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Hardware and Architecture top 10%
- Signal Processing
- Co-authors
- Thomas PeyrinJérémy JeanYu SasakiYosuke TodoSubhadeep BanikSumit PandeyStefan KölblJian Guo
- Topics
- Cryptographic Implementations and Security (11 papers)Coding theory and cryptography (10 papers)Chaos-based Image/Signal Encryption (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaIACR Transactions on Cryptographic Hardware and Embedded SystemsIACR Transactions on Symmetric Cryptology
In The Last Decade
Siang Meng Sim
12 papers receiving 215 citations
Peers
Comparison fields: 5 of 21
- Artificial Intelligence 210
- Computer Vision and Pattern Recognition 108
- Electrical and Electronic Engineering 45
- Hardware and Architecture 31
- Signal Processing 20
Countries citing papers authored by Siang Meng Sim
This map shows the geographic impact of Siang Meng 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 Siang Meng Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siang Meng Sim more than expected).
Fields of papers citing papers by Siang Meng Sim
This network shows the impact of papers produced by Siang Meng 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 Siang Meng Sim. The network helps show where Siang Meng Sim may publish in the future.
Co-authorship network of co-authors of Siang Meng Sim
This figure shows the co-authorship network connecting the top 25 collaborators of Siang Meng Sim. A scholar is included among the top collaborators of Siang Meng 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 Siang Meng Sim. Siang Meng 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 | 1 | |
| 2 | 10 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | GIFT: A Small Present Towards Reaching the Limit of Lightweight Encryption | 67 |
| 9 | 3 | |
| 10 | 54 | |
| 11 | 32 | |
| 12 | 23 |
About Siang Meng Sim
Siang Meng Sim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 12 papers that have together received 224 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (11 papers), Coding theory and cryptography (10 papers) and Chaos-based Image/Signal Encryption (10 papers). The work is most often cited by research in Artificial Intelligence (210 citations), Computer Vision and Pattern Recognition (108 citations) and Hardware and Architecture (31 citations). Siang Meng Sim has collaborated with scholars based in Singapore, France and Japan. Frequent co-authors include Thomas Peyrin, Jérémy Jean, Yu Sasaki, Yosuke Todo, Subhadeep Banik, Sumit Pandey, Stefan Kölbl, Jian Guo, Kexin Qiao and Ivica Nikolić. Their work appears in journals such as SHILAP Revista de lepidopterología, IACR Transactions on Cryptographic Hardware and Embedded Systems and IACR Transactions on Symmetric Cryptology.
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.