Geong Sen Poh
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Jianting NingXinyi HuangJiguo LiYichen ZhangJi‐Jian ChinKim‐Kwang Raymond ChooProsanta GopeWei‐Chuen Yau
- Topics
- Cryptography and Data Security (14 papers)Privacy-Preserving Technologies in Data (7 papers)Internet Traffic Analysis and Secure E-voting (6 papers)
- Journals
- ACM Computing SurveysApplied Soft ComputingIEEE Transactions on Information Forensics and Security
- 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
- Computational Theory and Mathematics 73
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 of co-authors of Geong Sen Poh
This figure shows the co-authorship network connecting the top 25 collaborators of Geong Sen Poh. A scholar is included among the top collaborators of Geong Sen Poh 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 Geong Sen Poh. Geong Sen Poh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 181 | |
| 3 | 15 | |
| 4 | 18 | |
| 5 | 68 | |
| 6 | 55 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 90 | |
| 10 | 36 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 20 | |
| 15 | 1 | |
| 16 | Design and Analysis of Fair Content Tracing Protocols | 5 |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 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) and Internet Traffic Analysis and Secure E-voting (6 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.