Shunji Uchimura

41 total papers · 1.8k total citations
32 papers, 1.3k citations indexed

About

Shunji Uchimura is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Shunji Uchimura has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Shunji Uchimura's work include Gene expression and cancer classification (7 papers), Face and Expression Recognition (5 papers) and Neural Networks and Applications (5 papers). Shunji Uchimura is often cited by papers focused on Gene expression and cancer classification (7 papers), Face and Expression Recognition (5 papers) and Neural Networks and Applications (5 papers). Shunji Uchimura collaborates with scholars based in Japan, United States and Switzerland. Shunji Uchimura's co-authors include Yoshihiko Hamamoto, Takanobu Miyamoto, Norio Iizuka, Hisafumi Yamada‐Okabe, Takao Tamesa, Masaaki Oka, Kenji Hamada, Akira Tangoku, Naohide Mori and Hironobu Nakayama and has published in prestigious journals such as The Lancet, IEEE Transactions on Pattern Analysis and Machine Intelligence and Oncogene.

In The Last Decade

Shunji Uchimura

30 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Shunji Uchimura 575 332 269 236 191 32 1.3k
Longzhong Liu 234 0.4× 199 0.6× 160 0.6× 113 0.5× 177 0.9× 46 1.3k
Ruixia Cui 504 0.9× 82 0.2× 146 0.5× 168 0.7× 70 0.4× 26 1.2k
Haofan Wang 317 0.6× 112 0.3× 187 0.7× 97 0.4× 226 1.2× 54 1.6k
Chang‐Min Kim 356 0.6× 595 1.8× 176 0.7× 332 1.4× 217 1.1× 67 1.3k
Ronald Chan 271 0.5× 117 0.4× 200 0.7× 207 0.9× 235 1.2× 54 1.2k
Wei Song 315 0.5× 125 0.4× 214 0.8× 147 0.6× 150 0.8× 84 1.2k
Seiya Momosaki 327 0.6× 224 0.7× 169 0.6× 200 0.8× 337 1.8× 78 1.3k
Junyi Shen 216 0.4× 243 0.7× 131 0.5× 168 0.7× 159 0.8× 119 1.1k
Zhenqiu Liu 561 1.0× 73 0.2× 158 0.6× 136 0.6× 118 0.6× 48 1.1k
Yafei Zhang 554 1.0× 188 0.6× 221 0.8× 415 1.8× 248 1.3× 123 1.6k

Countries citing papers authored by Shunji Uchimura

Since Specialization
Citations

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

Fields of papers citing papers by Shunji Uchimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunji Uchimura

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

All Works

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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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2026