Yuki Matsuda

212 total papers · 1.5k total citations
115 papers, 1.1k citations indexed

About

Yuki Matsuda is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Human-Computer Interaction. According to data from OpenAlex, Yuki Matsuda has authored 115 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 23 papers in Electrical and Electronic Engineering and 16 papers in Human-Computer Interaction. Recurrent topics in Yuki Matsuda's work include Human Mobility and Location-Based Analysis (11 papers), Emotion and Mood Recognition (8 papers) and Video Surveillance and Tracking Methods (7 papers). Yuki Matsuda is often cited by papers focused on Human Mobility and Location-Based Analysis (11 papers), Emotion and Mood Recognition (8 papers) and Video Surveillance and Tracking Methods (7 papers). Yuki Matsuda collaborates with scholars based in Japan, Germany and United States. Yuki Matsuda's co-authors include William A. Goddard, Wei Deng, Jamil Tahir‐Kheli, Keiichi Yasumoto, Yutaka Arakawa, Yugo Nakamura, Hirohiko Suwa, Wolfgang Minker, Akihiro Maruta and Manato Fujimoto and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry B and Journal of Power Sources.

In The Last Decade

Yuki Matsuda

97 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuki Matsuda 487 379 183 135 81 115 1.1k
Bing Hu 260 0.5× 216 0.6× 122 0.7× 103 0.8× 80 1.0× 50 1.2k
Jiangang Lü 177 0.4× 506 1.3× 560 3.1× 409 3.0× 124 1.5× 126 1.5k
Yuxin Peng 241 0.5× 447 1.2× 148 0.8× 549 4.1× 82 1.0× 67 1.4k
Yanlin Li 195 0.4× 582 1.5× 38 0.2× 89 0.7× 38 0.5× 95 1.1k
Congcong Ma 329 0.7× 322 0.8× 63 0.3× 257 1.9× 81 1.0× 60 1.1k
Yoshinori Takeuchi 207 0.4× 388 1.0× 158 0.9× 79 0.6× 79 1.0× 158 1.1k
S. Hackwood 136 0.3× 666 1.8× 134 0.7× 324 2.4× 140 1.7× 51 1.2k
Seung‐Won Oh 191 0.4× 298 0.8× 478 2.6× 204 1.5× 272 3.4× 136 1.4k
Minghua Jiang 196 0.4× 244 0.6× 96 0.5× 117 0.9× 26 0.3× 129 945
Young Sang Choi 535 1.1× 182 0.5× 26 0.1× 148 1.1× 34 0.4× 44 1.1k

Countries citing papers authored by Yuki Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Yuki Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuki Matsuda

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

All Works

Loading papers...

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

Rankless by CCL
2026