Hideki Noda

49 papers and 371 indexed citations i.

About

Hideki Noda is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hideki Noda has authored 49 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Hideki Noda’s work include Advanced Steganography and Watermarking Techniques (16 papers), Image and Signal Denoising Methods (11 papers) and Advanced Data Compression Techniques (11 papers). Hideki Noda is often cited by papers focused on Advanced Steganography and Watermarking Techniques (16 papers), Image and Signal Denoising Methods (11 papers) and Advanced Data Compression Techniques (11 papers). Hideki Noda collaborates with scholars based in Japan and United States. Hideki Noda's co-authors include Eiji Kawaguchi, Michiharu Niimi, M.N. Shirazi, Michihiro Hide, Hajime Shindo, Shunsuke Takahagi, Richard O. Eason, Ferdinand Peper, Kyohsuke Ohkawara and Masafumi Kogire and has published in prestigious journals such as The Journal of the Acoustical Society of America, Pattern Recognition and Energies.

In The Last Decade

Co-authorship network of co-authors of Hideki Noda i

Fields of papers citing papers by Hideki Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hideki Noda

Since Specialization
Citations

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