Ruzelita Ngadiran

30 papers and 350 indexed citations i.

About

Ruzelita Ngadiran is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ruzelita Ngadiran has authored 30 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Ruzelita Ngadiran’s work include Image and Signal Denoising Methods (5 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Biometric Identification and Security (4 papers). Ruzelita Ngadiran is often cited by papers focused on Image and Signal Denoising Methods (5 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Biometric Identification and Security (4 papers). Ruzelita Ngadiran collaborates with scholars based in Malaysia, Iraq and Türkiye. Ruzelita Ngadiran's co-authors include M. Hariharan, Kemal Polat, Ritu Sindhu, Sazali Yaacob, Abdul Hamid Adom, Phaklen Ehkan, Muhammad Imran Ahmad, Hasliza A. Rahim, Muzammil Jusoh and Mohd Jailani Mohd Nor and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Ruzelita Ngadiran i

Fields of papers citing papers by Ruzelita Ngadiran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruzelita Ngadiran. 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 Ruzelita Ngadiran. The network helps show where Ruzelita Ngadiran may publish in the future.

Countries citing papers authored by Ruzelita Ngadiran

Since Specialization
Citations

This map shows the geographic impact of Ruzelita Ngadiran'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 Ruzelita Ngadiran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruzelita Ngadiran 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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2025