Y. Ono

1.1k total citations
6 papers, 117 citations indexed

About

Y. Ono is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Y. Ono has authored 6 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Molecular Biology and 2 papers in Control and Systems Engineering. Recurrent topics in Y. Ono's work include AI in cancer detection (2 papers), Gene expression and cancer classification (2 papers) and Advanced Control Systems Optimization (1 paper). Y. Ono is often cited by papers focused on AI in cancer detection (2 papers), Gene expression and cancer classification (2 papers) and Advanced Control Systems Optimization (1 paper). Y. Ono collaborates with scholars based in Japan, Switzerland and United States. Y. Ono's co-authors include Pascal Fua, Eduard Trulls, Kwang Moo Yi, William Potter, Yoshihiro Mitani, Noriko Nagata, Hiromasa Kaneko, Y. Shiraki, S. Natori and Michiya Yamamoto and has published in prestigious journals such as Results in Chemistry and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Y. Ono

5 papers receiving 109 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Ono Japan 4 93 62 24 9 7 6 117
Anh-Dzung Doan Australia 6 67 0.7× 51 0.8× 33 1.4× 7 0.8× 6 0.9× 16 118
Mårten Wadenbäck Sweden 6 121 1.3× 78 1.3× 17 0.7× 14 1.6× 3 0.4× 12 167
Johan Edstedt Sweden 5 100 1.1× 58 0.9× 18 0.8× 10 1.1× 3 0.4× 7 144
Patrick Poirson United States 3 97 1.0× 43 0.7× 46 1.9× 4 0.4× 3 0.4× 3 125
Yash Bhalgat United Kingdom 4 100 1.1× 18 0.3× 72 3.0× 3 0.3× 7 1.0× 8 139
Toshikazu Wada Japan 7 168 1.8× 14 0.2× 35 1.5× 11 1.2× 2 0.3× 48 193
Sudeep Pillai United States 5 64 0.7× 47 0.8× 11 0.5× 9 1.0× 1 0.1× 8 90
Shenyuan Gao Hong Kong 2 99 1.1× 32 0.5× 21 0.9× 2 0.2× 3 0.4× 3 135
L. Yan China 6 42 0.5× 60 1.0× 16 0.7× 3 0.4× 12 112
Fuwen Tan United States 7 173 1.9× 19 0.3× 47 2.0× 18 2.0× 2 0.3× 11 201

Countries citing papers authored by Y. Ono

Since Specialization
Citations

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

Fields of papers citing papers by Y. Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Ono

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

All Works

6 of 6 papers shown
2.
Ono, Y. & Yoshihiro Mitani. (2022). Evaluation of feature extraction methods with ensemble learning for breast cancer classification. 194–195. 6 indexed citations
3.
Ono, Y. & Yoshihiro Mitani. (2021). Effect of the random forests with recursive feature elimination for breast cancer classification. 95–96. 6 indexed citations
4.
Ono, Y., et al.. (2019). Emotion Estimation Using Body Expression Types Based on LMA and Sensitivity Analysis. 348–353. 1 indexed citations
5.
Ono, Y., Eduard Trulls, Pascal Fua, & Kwang Moo Yi. (2018). LF-Net: Learning Local Features from Images. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 31. 6234–6244. 87 indexed citations
6.
Ono, Y., et al.. (2004). A mobile robot for corridor navigation. 379–384. 17 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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