Kazuhiko Ozeki

1.8k citations
75 papers · 1.4k indexed · 1 hit paper · h-index 20

Kazuhiko Ozeki

63 papers receiving 1.3k citations

Hit Papers

An adaptive filtering algorithm using an orthogonal proje...6291984202619982012200400600

Peers

Kazuhiko Ozeki
Comparison fields: 5 of 98
  • Signal Processing 602
  • Orthodontics 170
  • Computational Mechanics 653
  • Oral Surgery 139
  • Biomedical Engineering 477
Replace Jiaqi Guo with:
Jiaqi Guo China
Youdong Zhang China
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Masayoshi Mizutani Japan
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Citations per field
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Citations per year

Countries citing papers authored by Kazuhiko Ozeki

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhiko Ozeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kazuhiko Ozeki, 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 Kazuhiko Ozeki Line = papers co-authored together Kazuhiko Ozeki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 201621
3 201529
4 20155
5 201226
6 20107
7 20082
8 200619
9 200516
10 20051
11
Automatic Adjustment of Subband Likelihood Recombination Weights for Improving Noise-Robustness of a Multi-SNR Multi-Band Speaker Identification System
20040
12 20030
13
Inhibition of Ni release from NiTi alloy by hydroxyapatite, alumina, and titanium sputtered coatings.
200320
14
Bone bonding strength of sputtered hydroxyapatite films subjected to a low temperature hydrothermal treatment.
200321
15
Automatic Bunsetsu Segmentation of Japanese Sentences Using a Classification Tree
19981
16
Performance evaluation of language models for broadcast news speech recognition
19970
17
The Mutual Information as a Scoring Function for Speech Recognition
19952
18 19912
19
An adaptive filtering algorithm using an orthogonal projection to an affine subspace and its properties
198431
20 19801

About Kazuhiko Ozeki

Kazuhiko Ozeki is a scholar working on Orthodontics, Oral Surgery and Signal Processing, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (26 papers), Dental materials and restorations (16 papers), Diamond and Carbon-based Materials Research (12 papers), Dental Implant Techniques and Outcomes (12 papers), Metal and Thin Film Mechanics (11 papers), Speech Recognition and Synthesis (7 papers), Natural Language Processing Techniques (7 papers) and Orthopaedic implants and arthroplasty (7 papers). The work is most often cited by research in Signal Processing (602 citations), Orthodontics (170 citations) and Computational Mechanics (653 citations). Kazuhiko Ozeki has collaborated with scholars based in Japan and Saudi Arabia. Frequent co-authors include Yasuhiro Fukui, Hideyuki Aoki, Toshimitsu Masuzawa, Hideyuki Aoki, Toshio Yuhta, Kenji Hirakuri, Hideki Aoki, Yasuharu Ohgoe, Ikuya Nishimura and Masao Yoshinari. Their work appears in journals such as Journal of Materials Science, Applied Surface Science and Information Sciences.

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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