Chin Soon Ku

About

Chin Soon Ku is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chin Soon Ku has authored 35 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 11 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chin Soon Ku’s work include Advanced Malware Detection Techniques (7 papers), User Authentication and Security Systems (6 papers) and Advanced Steganography and Watermarking Techniques (5 papers). Chin Soon Ku is often cited by papers focused on Advanced Malware Detection Techniques (7 papers), User Authentication and Security Systems (6 papers) and Advanced Steganography and Watermarking Techniques (5 papers). Chin Soon Ku collaborates with scholars based in Malaysia, Taiwan and Pakistan. Chin Soon Ku's co-authors include Lip Yee Por, Yen‐Lin Chen, Tan Fong Ang, Yang Jing, Abdullah Ayub Khan, Mohamed Gabr, Wassim Alexan, Seyed Vahid Moravvej, Jing Yang and Fahima Hajjej and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Chin Soon Ku i

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Fields of papers citing papers by Chin Soon Ku

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin Soon Ku. 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 Chin Soon Ku. The network helps show where Chin Soon Ku may publish in the future.

Countries citing papers authored by Chin Soon Ku

Since Specialization

Citations

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

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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