Jun Saito

2.2k total citations · 2 hit papers
19 papers, 1.4k citations indexed

About

Jun Saito is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computational Mechanics. According to data from OpenAlex, Jun Saito has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Control and Systems Engineering and 6 papers in Computational Mechanics. Recurrent topics in Jun Saito's work include Human Motion and Animation (10 papers), Human Pose and Action Recognition (8 papers) and Video Analysis and Summarization (6 papers). Jun Saito is often cited by papers focused on Human Motion and Animation (10 papers), Human Pose and Action Recognition (8 papers) and Video Analysis and Summarization (6 papers). Jun Saito collaborates with scholars based in United Kingdom, United States and Japan. Jun Saito's co-authors include Taku Komura, Daniel Holden, Sebastian Starke, He Zhang, T. A. Joyce, He Zhang, Thibault Groueix, Noam Aigerman, Vladimir G. Kim and Siddhartha Chaudhuri and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and Journal of Robotics and Mechatronics.

In The Last Decade

Jun Saito

18 papers receiving 1.3k citations

Hit Papers

A deep learning framework for character motion synthesis ... 2016 2026 2019 2022 2016 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A deep learning framework for character motion synthesis and editing
    2016 393 citations Daniel Holden, Jun Saito et al. ACM Transactions on Graphics profile →
  2. Phase-functioned neural networks for character control
    2017 328 citations Daniel Holden, Taku Komura et al. ACM Transactions on Graphics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Saito United Kingdom 10 1.1k 1.0k 206 131 127 19 1.4k
Alla Safonova United States 17 1.1k 1.0× 978 1.0× 138 0.7× 120 0.9× 159 1.3× 37 1.4k
Lucas Kovar United States 13 2.0k 1.7× 2.0k 1.9× 213 1.0× 74 0.6× 125 1.0× 17 2.1k
Alvaro Collet United States 15 1.1k 1.0× 609 0.6× 244 1.2× 137 1.0× 170 1.3× 15 1.5k
Hanbyul Joo South Korea 13 1.3k 1.2× 280 0.3× 603 2.9× 158 1.2× 107 0.8× 29 1.6k
Cem Keskin United States 19 999 0.9× 403 0.4× 178 0.9× 87 0.7× 53 0.4× 36 1.4k
Srinath Sridhar United States 11 874 0.8× 245 0.2× 250 1.2× 108 0.8× 106 0.8× 35 1.2k
Tianjia Shao China 19 847 0.8× 240 0.2× 435 2.1× 44 0.3× 87 0.7× 53 1.1k
Katerina Fragkiadaki United States 11 974 0.9× 307 0.3× 73 0.4× 113 0.9× 202 1.6× 35 1.1k
Umar Iqbal United States 11 616 0.6× 264 0.3× 98 0.5× 111 0.8× 94 0.7× 20 755
Cédric Cagniart Germany 8 773 0.7× 431 0.4× 97 0.5× 110 0.8× 52 0.4× 12 1.0k

Countries citing papers authored by Jun Saito

Since Specialization
Citations

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

Fields of papers citing papers by Jun Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Saito

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

All Works

19 of 19 papers shown
1.
Wang, Weiming, Guoxin Fang, Simeon Gill, et al.. (2024). Motion-Driven Neural Optimizer for Prophylactic Braces Made by Distributed Microstructures. Research Explorer (The University of Manchester). 1–11. 1 indexed citations
2.
Saito, Jun, et al.. (2023). Neural Face Rigging for Animating and Retargeting Facial Meshes in the Wild. 1–11. 9 indexed citations
3.
Aigerman, Noam, et al.. (2022). Neural jacobian fields. ACM Transactions on Graphics. 41(4). 1–17. 22 indexed citations
4.
Zhou, Yang, Shuicheng Yan, Dingzeyu Li, et al.. (2022). Audio-driven Neural Gesture Reenactment with Video Motion Graphs. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3408–3418. 14 indexed citations
5.
Saito, Jun, et al.. (2021). INFLUENCE OF INFORMATION DURING PHASED EVACUATION FROM A HIGH-RISE BUILDING ON MENTAL STATE OF THE PERSON IN THE BUILDING. AIJ Journal of Technology and Design. 27(66). 847–852. 2 indexed citations
6.
Saito, Jun, et al.. (2019). Minimally Supervised Learning of Affective Events Using Discourse Relations. 5757–5764. 4 indexed citations
7.
Starke, Sebastian, He Zhang, Taku Komura, & Jun Saito. (2019). Neural state machine for character-scene interactions. ACM Transactions on Graphics. 38(6). 1–14. 178 indexed citations
8.
Zhang, He, Sebastian Starke, Taku Komura, & Jun Saito. (2018). Mode-adaptive neural networks for quadruped motion control. ACM Transactions on Graphics. 37(4). 1–11. 165 indexed citations
9.
Saito, Jun, et al.. (2017). Efficient and robust skin slide simulation. 1–6. 5 indexed citations
10.
Holden, Daniel, Taku Komura, & Jun Saito. (2017). Phase-functioned neural networks for character control. ACM Transactions on Graphics. 36(4). 1–13. 328 indexed citations breakdown →
11.
Holden, Daniel, Jun Saito, & Taku Komura. (2016). Neural network ambient occlusion. Edinburgh Research Explorer. 1–4. 10 indexed citations
12.
Holden, Daniel, Jun Saito, & Taku Komura. (2016). Learning Inverse Rig Mappings by Nonlinear Regression. IEEE Transactions on Visualization and Computer Graphics. 23(3). 1167–1178. 8 indexed citations
13.
Holden, Daniel, Jun Saito, & Taku Komura. (2016). A deep learning framework for character motion synthesis and editing. ACM Transactions on Graphics. 35(4). 1–11. 393 indexed citations breakdown →
14.
Holden, Daniel, Jun Saito, & Taku Komura. (2015). Learning an inverse rig mapping for character animation. Edinburgh Research Explorer. 165–173. 21 indexed citations
15.
Holden, Daniel, Jun Saito, Taku Komura, & T. A. Joyce. (2015). Learning motion manifolds with convolutional autoencoders. Edinburgh Research Explorer. 1–4. 176 indexed citations
16.
Saito, Jun. (2013). Smooth contact-aware facial blendshapes transfer. 7–12. 10 indexed citations
17.
Saito, Jun, et al.. (2005). Comparison of element arrangements of a spherical conformal array. 25. 125–128. 3 indexed citations
18.
Hirota, Koichi, Jun Saito, & Michitaka Hirose. (1997). Application of Surface Display into Shape Forming Task. Journal of Robotics and Mechatronics. 9(3). 185–192. 2 indexed citations
19.
Hirota, Koichi, Jun Saito, & Michitaka Hirose. (1995). Application of Surface Display into Shape Forming Task.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C. 61(586). 2434–2439. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Alla Safonova Breakdown of academic impact, for papers by Lucas Kovar Breakdown of academic impact, for papers by Alvaro Collet Breakdown of academic impact, for papers by Hanbyul Joo Breakdown of academic impact, for papers by Cem Keskin Breakdown of academic impact, for papers by Srinath Sridhar Breakdown of academic impact, for papers by Tianjia Shao Breakdown of academic impact, for papers by Katerina Fragkiadaki Breakdown of academic impact, for papers by Umar Iqbal Breakdown of academic impact, for papers by Cédric Cagniart
Rankless by CCL
2026