Chan Fook Mun

487 citations
6 papers · 268 indexed · h-index 5
Topics
Cryptography and Data Security (5 papers)Cryptographic Implementations and Security (3 papers)Privacy-Preserving Technologies in Data (3 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Information Forensics and Security
Partner nations
SingaporeUnited States

In The Last Decade

Chan Fook Mun

6 papers receiving 261 citations

Peers

Chan Fook Mun
Comparison fields: 5 of 26
  • Artificial Intelligence 236
  • Information Systems 78
  • Computational Theory and Mathematics 49
  • Computer Vision and Pattern Recognition 41
  • Computer Networks and Communications 33
Replace Benjamin Hong Meng Tan with:
Benjamin Hong Meng Tan Singapore
Yarkın Doröz United States
Fabian Boemer United States
Samee Zahur United States
Paulo Martins Portugal
Jieun Eom South Korea
Jack Doerner United States
Damien Vergnaud France
Sangpyo Kim South Korea
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Chan Fook Mun relative to Benjamin Hong Meng Tan Singapore Benjamin Hong Meng Tan's profile →
Citations per field
00.5×1.6×
Benjamin Hong Meng Tan · 1×
Citations per year

Countries citing papers authored by Chan Fook Mun

Since Specialization
Citations

This map shows the geographic impact of Chan Fook Mun'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 Chan Fook Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan Fook Mun more than expected).

Fields of papers citing papers by Chan Fook Mun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan Fook Mun. 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 Chan Fook Mun. The network helps show where Chan Fook Mun may publish in the future.

Co-authorship network of co-authors of Chan Fook Mun

This figure shows the co-authorship network connecting the top 25 collaborators of Chan Fook Mun. A scholar is included among the top collaborators of Chan Fook Mun 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 Chan Fook Mun. Chan Fook Mun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 34
2 57
3 100
4
CareNets: Efficient Homomorphic CNN for High Resolution Images
3
5 21
6 53

About Chan Fook Mun

Chan Fook Mun is a scholar working on Artificial Intelligence, Neurology and Information Systems, having authored 6 papers that have together received 268 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Cryptographic Implementations and Security (3 papers) and Privacy-Preserving Technologies in Data (3 papers). The work is most often cited by research in Artificial Intelligence (236 citations), Health Informatics (7 citations) and Information Systems (78 citations). Chan Fook Mun has collaborated with scholars based in Singapore and United States. Frequent co-authors include Khin Mi Mi Aung, Ahmad Al Badawi, Bharadwaj Veeravalli, Vijay Chandrasekhar, Benjamin Hong Meng Tan, Chao Jin, Nan Xiao, Jie Lin, Kim Laine and James M. Brown. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Information Forensics and Security.

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.

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