Geong Sen Poh
- Artificial Intelligence top 5%
- Cryptography and Data Security 14
- Privacy-Preserving Technologies in Data 7
- Internet Traffic Analysis and Secure E-voting 6
- Information Systems top 2%
- Cloud Data Security Solutions 5
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- Cognitive Radio Networks and Spectrum Sensing 3
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- Advanced Steganography and Watermarking Techniques 5
- Chaos-based Image/Signal Encryption 3
- Signal Processing top 10%
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- Wireless Communication Security Techniques 3
- Co-authors
- Jianting NingXinyi HuangJiguo LiYichen ZhangJi‐Jian ChinKim‐Kwang Raymond ChooProsanta GopeWei‐Chuen Yau
- Journals
- ACM Computing Surveys (1 paper)Applied Soft Computing (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)
- Partner nations
- MalaysiaUnited KingdomSingapore
In The Last Decade
Geong Sen Poh
23 papers receiving 582 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 454
- Information Systems 309
- Computer Networks and Communications 176
- Computer Vision and Pattern Recognition 97
- Signal Processing 50
Countries citing papers authored by Geong Sen Poh
This map shows the geographic impact of Geong Sen Poh'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 Geong Sen Poh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geong Sen Poh more than expected).
Fields of papers citing papers by Geong Sen Poh
This network shows the impact of papers produced by Geong Sen Poh. 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 Geong Sen Poh. The network helps show where Geong Sen Poh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Geong Sen Poh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 13 | |
| 2 | 2020 | 181 | |
| 3 | 2020 | 15 | |
| 4 | 2019 | 18 | |
| 5 | 2019 | 68 | |
| 6 | 2019 | 55 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 8 | |
| 9 | 2017 | 90 | |
| 10 | 2015 | 36 | |
| 11 | 2014 | 0 | |
| 12 | 2013 | 1 | |
| 13 | 2013 | 3 | |
| 14 | 2013 | 20 | |
| 15 | 2012 | 1 | |
| 16 | Design and Analysis of Fair Content Tracing Protocols | 2009 | 5 |
| 17 | 2007 | 3 | |
| 18 | 2007 | 2 | |
| 19 | 2007 | 1 | |
| 20 | 2002 | 2 |
About Geong Sen Poh
Geong Sen Poh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 25 papers that have together received 603 indexed citations. Recurring topics across this work include Cryptography and Data Security (14 papers), Privacy-Preserving Technologies in Data (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Cloud Data Security Solutions (5 papers), Advanced Steganography and Watermarking Techniques (5 papers), Wireless Communication Security Techniques (3 papers), Chaos-based Image/Signal Encryption (3 papers) and Cognitive Radio Networks and Spectrum Sensing (3 papers). The work is most often cited by research in Artificial Intelligence (454 citations), Information Systems (309 citations) and Computer Networks and Communications (176 citations). Geong Sen Poh has collaborated with scholars based in Malaysia, United Kingdom and Singapore. Frequent co-authors include Jianting Ning, Xinyi Huang, Jiguo Li, Yichen Zhang, Ji‐Jian Chin, Kim‐Kwang Raymond Choo, Prosanta Gope, Wei‐Chuen Yau, Kok‐Lim Alvin Yau and Mee Hong Ling. Their work appears in journals such as ACM Computing Surveys, Applied Soft Computing 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.