Shunta Saito

1.2k total citations
18 papers, 684 citations indexed

About

Shunta Saito is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Control and Systems Engineering. According to data from OpenAlex, Shunta Saito has authored 18 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Ocean Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Shunta Saito's work include Automated Road and Building Extraction (6 papers), Human Pose and Action Recognition (6 papers) and Remote Sensing and LiDAR Applications (4 papers). Shunta Saito is often cited by papers focused on Automated Road and Building Extraction (6 papers), Human Pose and Action Recognition (6 papers) and Remote Sensing and LiDAR Applications (4 papers). Shunta Saito collaborates with scholars based in Japan and United States. Shunta Saito's co-authors include Yoshimitsu Aoki, Masaki Saito, Takayoshi Yamashita, Eiichi Matsumoto, Sosuke Kobayashi, Masanori Koyama, Toru Ogawa, Shuji Suzuki, Seiya Tokui and Takuya Akiba and has published in prestigious journals such as IEEE Access, International Journal of Computer Vision and Journal of Imaging Science and Technology.

In The Last Decade

Shunta Saito

18 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shunta Saito Japan 9 413 216 180 179 93 18 684
V. Prinet China 15 378 0.9× 106 0.5× 115 0.6× 134 0.7× 79 0.8× 50 659
Meir Barzohar Israel 9 215 0.5× 250 1.2× 206 1.1× 238 1.3× 68 0.7× 21 533
Weiliang Meng China 15 410 1.0× 65 0.3× 96 0.5× 173 1.0× 206 2.2× 84 716
H. C. Wolf United States 6 617 1.5× 177 0.8× 146 0.8× 69 0.4× 65 0.7× 12 826
Qiulei Dong China 14 302 0.7× 40 0.2× 195 1.1× 78 0.4× 105 1.1× 68 662
Hossam Isack Canada 6 581 1.4× 43 0.2× 166 0.9× 65 0.4× 127 1.4× 10 814
Edward K. Wong United States 15 713 1.7× 44 0.2× 43 0.2× 94 0.5× 77 0.8× 44 963
Youliang Yan China 11 902 2.2× 42 0.2× 70 0.4× 277 1.5× 179 1.9× 23 1.1k
David Stutz Germany 9 325 0.8× 25 0.1× 50 0.3× 136 0.8× 118 1.3× 15 600

Countries citing papers authored by Shunta Saito

Since Specialization
Citations

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

Fields of papers citing papers by Shunta Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunta Saito

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

All Works

18 of 18 papers shown
1.
Saito, Masaki, Shunta Saito, Masanori Koyama, & Sosuke Kobayashi. (2020). Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN. International Journal of Computer Vision. 128(10-11). 2586–2606. 57 indexed citations
2.
Tokui, Seiya, Takuya Akiba, Toru Ogawa, et al.. (2019). Chainer. 2002–2011. 68 indexed citations
3.
Saito, Masaki & Shunta Saito. (2018). TGANv2: Efficient Training of Large Models for Video Generation with Multiple Subsampling Layers. arXiv (Cornell University). 13 indexed citations
4.
Saito, Masaki, Eiichi Matsumoto, & Shunta Saito. (2017). Temporal Generative Adversarial Nets with Singular Value Clipping. 2849–2858. 203 indexed citations
5.
Tsutsui, Satoshi, et al.. (2017). Distantly Supervised Road Segmentation. 174–181. 8 indexed citations
6.
Saito, Shunta, et al.. (2017). Superpixel clustering with deep features for unsupervised road segmentation.. 2 indexed citations
7.
Ogawa, Toru, et al.. (2017). ChainerCV. 1217–1220. 19 indexed citations
8.
Saito, Shunta, Takayoshi Yamashita, & Yoshimitsu Aoki. (2016). Multiple Object Extraction from Aerial Imagery with Convolutional Neural Networks. Electronic Imaging. 28(10). 1–9. 148 indexed citations
9.
Sugawara, Yu, Takeshi Morita, Shunta Saito, & Takahira Yamaguchi. (2015). An intelligent application development platform for service robots. 1540. 16–20. 1 indexed citations
10.
Saito, Shunta, et al.. (2015). Seamline Determination Based on Semantic Segmentation for Aerial Image Mosaicking. IEEE Access. 3. 2847–2856. 12 indexed citations
11.
Saito, Shunta & Yoshimitsu Aoki. (2015). Building and road detection from large aerial imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9405. 94050K–94050K. 65 indexed citations
12.
Saito, Shunta, Takayoshi Yamashita, & Yoshimitsu Aoki. (2015). Multiple Object Extraction from Aerial Imagery with Convolutional Neural Networks. Journal of Imaging Science and Technology. 60(1). 10402–1. 69 indexed citations
13.
Saito, Shunta, Makiko Kouchi, Masaaki Mochimaru, & Yoshimitsu Aoki. (2014). Model-based 3D human shape estimation from silhouettes for virtual fitting. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9013. 901307–901307. 3 indexed citations
14.
Yamazaki, S., Makiko Kouchi, Masaaki Mochimaru, et al.. (2013). Homologous shape modelling of deforming human foot. Footwear Science. 5(sup1). S120–S121. 3 indexed citations
15.
Yoshida, Yūji, Shunta Saito, Yoshimitsu Aoki, Makiko Kouchi, & Masaaki Mochimaru. (2012). Shape completion and modeling of 3D foot shape while walking. 41. 1–3. 3 indexed citations
16.
Saito, Shunta, Makiko Kouchi, Masaaki Mochimaru, & Yoshimitsu Aoki. (2012). Simple system for 3D body shape estimation. 99. 203–205. 7 indexed citations
17.
Saito, Shunta, Makiko Kouchi, Masaaki Mochimaru, & Yoshimitsu Aoki. (2011). Body Trunk Shape Estimation from Silhouettes by Using Homologous Human Body Model. 130–137. 2 indexed citations
18.
Yoshida, Yūji, Shunta Saito, Yoshimitsu Aoki, Makiko Kouchi, & Masaaki Mochimaru. (2011). Shape Completion and Modeling of 3D Foot Shape While Walking Using Homologous Model Fitting. 270–276. 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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