Shoichiro Yamaguchi

630 citations
27 papers · 345 indexed · h-index 6

Shoichiro Yamaguchi

20 papers receiving 307 citations

Peers

Shoichiro Yamaguchi
Comparison fields: 5 of 71
  • Orthodontics 132
  • General Dentistry 48
  • Oral Surgery 89
  • Computer Vision and Pattern Recognition 158
  • Media Technology 61
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Citations per year

Countries citing papers authored by Shoichiro Yamaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Shoichiro Yamaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2
A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning.
20193
3
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning
20193
4
Distributional Concavity Regularization for GANs.
20182
5 201820
6
Effect of self-etching primer vs phosphoric acid etchant on bonding to bur-prepared dentin.
200254
7
Effects of different burs on dentin bond strengths of self-etching primer bonding systems.
200180
8 20000
9 20000
10
Shape reconstruction of object from an image under a point hight source illumination
19891
11 19895
12 1987149
13 19841
14 19840
15 19830
16 19833
17 19804
18 19803
19 19755
20 19680

About Shoichiro Yamaguchi

Shoichiro Yamaguchi is a scholar working on General Dentistry, Computer Graphics and Computer-Aided Design and Aging, having authored 27 papers that have together received 345 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (3 papers), Impact of Light on Environment and Health (3 papers), Computer Graphics and Visualization Techniques (3 papers), Color Science and Applications (3 papers), Advanced Vision and Imaging (3 papers), Building Energy and Comfort Optimization (2 papers), Dental Research and COVID-19 (2 papers) and Dental Erosion and Treatment (2 papers). The work is most often cited by research in Orthodontics (132 citations), General Dentistry (48 citations) and Oral Surgery (89 citations). Shoichiro Yamaguchi has collaborated with scholars based in Japan, Canada and Saudi Arabia. Frequent co-authors include Hussein Almuallim, N Harada, M Ogata, Masatoshi Nakajima, Patrícia Pereira, Junji Tagami, Koichi Ikeda, K. Noda, Muneki Ikeda and Ikue Mori. Their work appears in journals such as Japanese Journal of Applied Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence, PLoS Computational Biology, Advanced Robotics and Journal of Light & Visual Environment.

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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