Hideki Noda

1.1k total citations
81 papers, 656 citations indexed

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 81 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Hideki Noda's work include Advanced Steganography and Watermarking Techniques (31 papers), Advanced Data Compression Techniques (20 papers) and Image and Signal Denoising Methods (18 papers). Hideki Noda is often cited by papers focused on Advanced Steganography and Watermarking Techniques (31 papers), Advanced Data Compression Techniques (20 papers) and Image and Signal Denoising Methods (18 papers). Hideki Noda collaborates with scholars based in Japan, United States and France. Hideki Noda's co-authors include Eiji Kawaguchi, Michiharu Niimi, M.N. Shirazi, Richard O. Eason, Michihiro Hide, Shunsuke Takahagi, Hajime Shindo, Ferdinand Peper, Kyohsuke Ohkawara and Takayuki Ishida and has published in prestigious journals such as The Journal of the Acoustical Society of America, Pattern Recognition and Energies.

In The Last Decade

Hideki Noda

70 papers receiving 575 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hideki Noda Japan 13 496 78 67 59 48 81 656
Karamjeet Singh India 11 212 0.4× 11 0.1× 93 1.4× 144 2.4× 19 0.4× 27 466
Zhineng Chen China 10 236 0.5× 7 0.1× 39 0.6× 135 2.3× 22 0.5× 29 408
Jiawen Yang China 6 183 0.4× 16 0.2× 26 0.4× 184 3.1× 66 1.4× 12 390
Philippe-Henri Gosselin France 14 442 0.9× 6 0.1× 103 1.5× 125 2.1× 4 0.1× 36 593
Saqib Qamar China 10 160 0.3× 7 0.1× 17 0.3× 119 2.0× 24 0.5× 22 382
Alican Bozkurt United States 12 53 0.1× 16 0.2× 11 0.2× 89 1.5× 28 0.6× 24 384
Eung-Joo Lee South Korea 9 132 0.3× 9 0.1× 10 0.1× 85 1.4× 32 0.7× 50 264
Renjun Shuai China 8 140 0.3× 6 0.1× 21 0.3× 153 2.6× 36 0.8× 10 301
Jason Hagerty United States 11 76 0.2× 29 0.4× 26 0.4× 220 3.7× 94 2.0× 26 402
Sandra Morales Spain 9 452 0.9× 6 0.1× 25 0.4× 115 1.9× 10 0.2× 25 820

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-authorship network of co-authors of Hideki Noda

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Noda. A scholar is included among the top collaborators of Hideki Noda 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 Hideki Noda. Hideki Noda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yonenaga, Yoshikuni, et al.. (2015). [Clinical Response of Metastatic Colon Cancer to Chemotherapy with S-1 and Oxaliplatin - A Case Report].. PubMed. 42(6). 743–5.
2.
Niimi, Michiharu, et al.. (2014). Development of Navigation system for inside Buildings using Augumented Reality. IEICE Technical Report; IEICE Tech. Rep.. 113(480). 33–38. 1 indexed citations
3.
Noda, Hideki, et al.. (2013). Environmental Impact Evaluation of Geothermal Power Plant System by Means of Life Cycle Assessment. Journal of Life Cycle Assessment Japan. 9(3). 234–241. 2 indexed citations
4.
Noda, Hideki. (2011). Information Hiding Using Side Information. IEICE Technical Report; IEICE Tech. Rep.. 111(74). 1–6. 2 indexed citations
5.
Mise, Masahiro, et al.. (2009). [Clinicopathological features of young patients with triple negative breast cancer].. PubMed. 36(10). 1677–81. 1 indexed citations
6.
Takahagi, Shunsuke, et al.. (2009). Metastatic extramammary Paget’s disease treated with paclitaxel and trastuzumab combination chemotherapy. The Journal of Dermatology. 36(8). 457–461. 77 indexed citations
7.
Kawaguchi, Eiji, et al.. (2006). A Model of Digital Contents Access Control System Using Steganographic Information Hiding Scheme. European Journal of Combinatorics. 50–61. 5 indexed citations
8.
Niimi, Michiharu, et al.. (2004). Detecting Signatures from BPCS-Steganography Using Complexity Histogram Analysis. The Journal of The Institute of Image Information and Television Engineers. 58(2). 243–250. 1 indexed citations
9.
Niimi, Michiharu, et al.. (2003). A Framework for a Simple Sentence Paraphrase Using Concept Hieararchy in SD-Form Semantics Model.. European Journal of Combinatorics. 55–66. 5 indexed citations
10.
Niimi, Michiharu, Richard O. Eason, Hideki Noda, & Eiji Kawaguchi. (2002). A Method to Apply BPCS-Steganography to Palette-Based Images Using Luminance Quasi-Preserving Color Quantization. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(9). 2141–2148. 1 indexed citations
11.
Noda, Hideki, et al.. (2001). Topological Ordered Color Table for BPCS Steganography Using Indexed Color Images. 42(1). 110–113. 8 indexed citations
12.
Noda, Hideki, Katsuya Harada, & Eiji Kawaguchi. (1999). A Context-Dependent Sequential Decision for Speaker Verification. IEICE Transactions on Information and Systems. 82(10). 1433–1436. 2 indexed citations
13.
Zhang, Bing, et al.. (1998). A Robust Segmentation Algorithm for the MRF Texture Images and Its Implementation by a Neural Circuitry. International Conference on Neural Information Processing. 1061–1064.
14.
Harada, Katsuya, Hideki Noda, & Eiji Kawaguchi. (1997). Text-independent Speaker Verification Using Sequential Decision. 97(207). 67–72. 2 indexed citations
15.
Niimi, Michiharu, Hideki Noda, & Eiji Kawaguchi. (1997). A Data Embedding Method By a Complexity Based Region Segmentation. 97(70). 39–44. 1 indexed citations
16.
Zhang, Bing, et al.. (1997). Parameter-Free Restoration Algorithms for Two Classes of Binary MRF Images Degraded by Flip-Flap Noises. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 80(10). 2022–2031.
17.
Peper, Ferdinand & Hideki Noda. (1996). A symmetric linear neural network that learns principal components and their variances. IEEE Transactions on Neural Networks. 7(4). 1042–1047. 7 indexed citations
18.
Peper, Ferdinand & Hideki Noda. (1994). Controling the Learning Rates of Neural Networks by Their Weight Vector Lengths. International Conference on Neural Information Processing. 3(1). 767–771. 1 indexed citations
19.
Yamazaki, Tatsuya, et al.. (1993). Adaptive Restoration of Degraded Binary MRF Images Using EM Method. IEICE Transactions on Information and Systems. 76(2). 259–268. 1 indexed citations
20.
Funaki, Naomi, et al.. (1987). A case report of the cloacogenic cyst of the retrorectal space.. The Japanese Journal of Gastroenterological Surgery. 20(8). 2015–2018. 1 indexed citations

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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