Yasushi Yagi

10.1k total citations · 2 hit papers
325 papers, 6.2k citations indexed

About

Yasushi Yagi is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Yasushi Yagi has authored 325 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 262 papers in Computer Vision and Pattern Recognition, 121 papers in Biomedical Engineering and 58 papers in Aerospace Engineering. Recurrent topics in Yasushi Yagi's work include Gait Recognition and Analysis (114 papers), Human Pose and Action Recognition (96 papers) and Advanced Vision and Imaging (88 papers). Yasushi Yagi is often cited by papers focused on Gait Recognition and Analysis (114 papers), Human Pose and Action Recognition (96 papers) and Advanced Vision and Imaging (88 papers). Yasushi Yagi collaborates with scholars based in Japan, China and Egypt. Yasushi Yagi's co-authors include Yasushi Makihara, Daigo Muramatsu, M. Yachida, Tomio Echigo, Yasuhiro Mukaigawa, Chi Xu, Hajime Nagahara, Noriko Takemura, Xiang Li and Haruyuki Iwama and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Yasushi Yagi

311 papers receiving 5.9k citations

Hit Papers

GEINet: View-invariant ga... 2016 2026 2019 2022 2016 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasushi Yagi Japan 36 4.9k 3.7k 1.2k 750 689 325 6.2k
Toby Sharp United Kingdom 16 4.5k 0.9× 996 0.3× 1.8k 1.5× 408 0.5× 775 1.1× 21 5.7k
Mykhaylo Andriluka Germany 27 5.9k 1.2× 920 0.3× 1.1k 0.9× 388 0.5× 1.6k 2.3× 31 6.5k
Tieniu Tan China 23 3.4k 0.7× 1.6k 0.4× 531 0.5× 107 0.1× 726 1.1× 72 4.4k
Peter Gehler Germany 26 4.6k 0.9× 657 0.2× 727 0.6× 275 0.4× 1.5k 2.2× 44 5.7k
Tomas Simon United States 22 4.1k 0.8× 824 0.2× 890 0.8× 202 0.3× 601 0.9× 36 5.5k
Manuel J. Marín‐Jiménez Spain 21 2.5k 0.5× 728 0.2× 561 0.5× 853 1.1× 405 0.6× 65 3.5k
Yasushi Makihara Japan 33 3.2k 0.6× 3.4k 0.9× 970 0.8× 49 0.1× 629 0.9× 139 3.9k
Philip Ogunbona Australia 29 2.2k 0.5× 689 0.2× 534 0.5× 111 0.1× 1.1k 1.6× 125 3.2k
Yangsheng Xu Hong Kong 37 1.3k 0.3× 1.1k 0.3× 232 0.2× 1.6k 2.2× 592 0.9× 262 5.0k
Leonid Sigal United States 37 4.6k 0.9× 641 0.2× 667 0.6× 180 0.2× 1.3k 2.0× 118 5.4k

Countries citing papers authored by Yasushi Yagi

Since Specialization
Citations

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

Fields of papers citing papers by Yasushi Yagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasushi Yagi

This figure shows the co-authorship network connecting the top 25 collaborators of Yasushi Yagi. A scholar is included among the top collaborators of Yasushi Yagi 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 Yasushi Yagi. Yasushi Yagi 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.
Higashino, Teruo, Hidetoshi Kotera, & Yasushi Yagi. (2023). MEXT Society 5.0 Realization Research Support Project. Communications of the ACM. 66(7). 94–95.
2.
Goto, Takahiro, Yasuhiro Sugimoto, Yasushi Yagi, et al.. (2023). Characteristics verification of pneumatic artificial muscles for compressive loading. Advanced Robotics. 37(14). 887–899. 2 indexed citations
3.
Makihara, Yasushi, et al.. (2023). Batch Hard Contrastive Loss and Its Application to Cross-View Gait Recognition. IEEE Access. 11. 31177–31187. 1 indexed citations
4.
Makihara, Yasushi, Daigo Muramatsu, Jianfu Zhang, et al.. (2021). Learn to Walk Across Ages: Motion Augmented Multi-Age Group Gait Video Translation. IEEE Access. 9. 40550–40559. 4 indexed citations
5.
Xu, Chi, Yasushi Makihara, Noriko Takemura, et al.. (2021). Uncertainty-Aware Gait-Based Age Estimation and its Applications. IEEE Transactions on Biometrics Behavior and Identity Science. 3(4). 479–494. 9 indexed citations
6.
Takemura, Noriko, Yasushi Makihara, Daigo Muramatsu, Tomio Echigo, & Yasushi Yagi. (2018). Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition. SHILAP Revista de lepidopterología. 10(1). 298 indexed citations breakdown →
7.
Yamazoe, Hirotake, et al.. (2016). Easy Depth Sensor Calibration. 6 indexed citations
8.
Ikeda, Taro, Ikuhisa Mitsugami, & Yasushi Yagi. (2015). Depth-based Gait Authentication for Practical Sensor Settings. 7(0). 94–98. 2 indexed citations
9.
Yagi, Yasushi, et al.. (2011). Development of Human-Tracking Robot by Using QR Code Recognition. IEEJ Transactions on Industry Applications. 131(2). 151–158. 6 indexed citations
10.
Yagi, Yasushi, et al.. (2011). Development of a human-tracking robot using QR code recognition. 1–6. 10 indexed citations
11.
Echigo, Tomio, Ryusuke Sagawa, Yasuhiro Mukaigawa, et al.. (2006). Shrinkage Detection of Small Intestine from a Capsule Endoscope. IEICE Technical Report; IEICE Tech. Rep.. 105(580). 9–12. 1 indexed citations
12.
Sagawa, Ryusuke, et al.. (2005). Wide Dynamic Range by Filtering with Transmissive Liquid Crystal. Transactions of the Society of Instrument and Control Engineers. 41(12). 1026–1035. 1 indexed citations
13.
Tsuji, Saburo, Yasushi Yagi, & Minoru Asada. (2005). Dynamic scene analysis for a mobile robot in a man-made environment. 2. 850–855. 3 indexed citations
14.
Yagi, Yasushi, et al.. (2002). Estimation of free space for the mobile robot using omnidirectional image sensor COPIS. 1329–1334. 1 indexed citations
15.
Yagi, Yasushi, Hiroyuki Nagai, Kazumasa Yamazawa, & Masahiko Yachida. (2001). Reactive Visual Navigation Based on Omnidirectional Sensing-Path Following and Collision Avoidance. Transactions of the Institute of Systems Control and Information Engineers. 14(4). 209–217. 1 indexed citations
16.
Yagi, Yasushi. (1999). Omnidirectional Sensing and Its Applications. IEICE Transactions on Information and Systems. 82(3). 568–579. 119 indexed citations
17.
Yagi, Yasushi, et al.. (1998). Construction of Standard Software for Face Recognition and Synthesis.. 97. 129–136. 5 indexed citations
18.
Yagi, Yasushi, et al.. (1993). Guidance of a Mobile Robot with Environmental Map Using Omnidirectional Image Sensor COPIS. IEICE Transactions on Information and Systems. 486–493. 5 indexed citations
19.
Yagi, Yasushi, et al.. (1993). Guidance of a Mobile Robot with Environmental Map Using Omnidirectional Image Sensor COPIS (Special Issue on Image Processing and Understanding). IEICE Transactions on Information and Systems. 76(4). 486–493. 4 indexed citations
20.
Utsumi, Akira, Yasushi Yagi, & Masahiko Yachida. (1992). Estimating Surface and Spatial Structure from Wire-Frame Model Using Geometrical & Heuristical Relation.. Machine Vision and Applications. 25–28. 3 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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