Hideki Noda

1.1k citations
81 papers · 656 · h-index 13

Impact in

    • Advanced Steganography and Watermarking Techniques
    • Chaos-based Image/Signal Encryption
    • Digital Media Forensic Detection
    • Advanced Data Compression Techniques
    • Image and Signal Denoising Methods
    • Image Retrieval and Classification Techniques
    • Cancer and Skin Lesions

Papers in

    • Advanced Steganography and Watermarking Techniques 31
    • Advanced Data Compression Techniques 20
    • Image and Signal Denoising Methods 18
    • Chaos-based Image/Signal Encryption 12
    • Digital Media Forensic Detection 11
    • Medical Image Segmentation Techniques 7
    • Neural Networks and Applications 9
    • Speech Recognition and Synthesis 8

Hideki Noda

70 papers receiving 575 citations

Peers

Hideki Noda
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 496
  • Dermatology 78
  • Media Technology 67
  • Signal Processing 34
  • Artificial Intelligence 59
Replace Karamjeet Singh with:
Karamjeet Singh India
Zhineng Chen China
Jiawen Yang China
Philippe-Henri Gosselin France
Eung-Joo Lee South Korea
Harry Pratt United Kingdom
Connah Kendrick United Kingdom
Saqib Qamar China
Célia A. Zorzo Barcelos Brazil
Xiaoben Jiang China
Hideki Noda relative to Karamjeet Singh India Karamjeet Singh's profile →
Citations per field
00.5×7.1×
Karamjeet Singh · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Hideki Noda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hideki Noda Line = papers co-authored together Hideki Noda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200977
2 200570
3 200267
4 200250
5 200250
6 200528
7 200319
8 200719
9 200216
10 200714
11 201012
12 200112
13 200612
14 200510
15 199910
16 20009
17
Topological Ordered Color Table for BPCS Steganography Using Indexed Color Images
20018
18 20108
19 20048
20 19967

About Hideki Noda

Hideki Noda is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Surgery, having authored 81 papers that have together received 656 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (31 papers), Advanced Data Compression Techniques (20 papers), Image and Signal Denoising Methods (18 papers), Chaos-based Image/Signal Encryption (12 papers), Digital Media Forensic Detection (11 papers), Neural Networks and Applications (9 papers), Speech Recognition and Synthesis (8 papers) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (496 citations), Dermatology (78 citations), Media Technology (67 citations), Signal Processing (34 citations) and Artificial Intelligence (59 citations). Hideki Noda has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Eiji Kawaguchi, Michiharu Niimi, M.N. Shirazi, Richard O. Eason, Hajime Shindo, Shunsuke Takahagi, Michihiro Hide, Ferdinand Peper, Takayuki Ishida and Kyohsuke Ohkawara. Their work appears in journals such as Pattern Recognition, The Journal of Dermatology, Pattern Recognition Letters, European Journal of Combinatorics and IEEE Signal Processing Letters.

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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