Kenta Oono

543 total citations
5 papers, 48 citations indexed

About

Kenta Oono is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Kenta Oono has authored 5 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Kenta Oono's work include Advanced Graph Neural Networks (3 papers), Complex Network Analysis Techniques (2 papers) and Advanced Memory and Neural Computing (2 papers). Kenta Oono is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Complex Network Analysis Techniques (2 papers) and Advanced Memory and Neural Computing (2 papers). Kenta Oono collaborates with scholars based in Japan. Kenta Oono's co-authors include Taiji Suzuki, Masaaki Kotera, Masahiro Ikeda, Isao Ishikawa and Masashi Sugiyama and has published in prestigious journals such as PLoS ONE, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Kenta Oono

5 papers receiving 47 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kenta Oono Japan	3	30	13	10	10	7	5	48
Anton Tsitsulin United States	3	36 1.2×	11 0.8×	7 0.7×	22 2.2×	8 1.1×	8	44
Mark Heimann United States	5	40 1.3×	11 0.8×	11 1.1×	28 2.8×	7 1.0×	10	58
Bruce W. Herr United States	6	15 0.5×	16 1.2×	15 1.5×	8 0.8×	6 0.9×	10	51
Xutan Peng United Kingdom	7	91 3.0×	10 0.8×	7 0.7×	8 0.8×	6 0.9×	13	95
Ikumi Suzuki Japan	5	38 1.3×	19 1.5×	6 0.6×	3 0.3×	4 0.6×	16	55
Edward De Brouwer Belgium	5	34 1.1×	7 0.5×	2 0.2×	15 1.5×	4 0.6×	10	51
Prajjwal Bhargava United States	2	56 1.9×	14 1.1×	6 0.6×	2 0.2×	10 1.4×	3	68
Irina Matveeva United States	5	96 3.2×	12 0.9×	11 1.1×	4 0.4×	5 0.7×	11	103
John Palowitch United States	4	18 0.6×	5 0.4×	3 0.3×	8 0.8×	4 0.6×	6	33
Weiping Song China	2	26 0.9×	4 0.3×	3 0.3×	3 0.3×	7 1.0×	3	31

Countries citing papers authored by Kenta Oono

Since Specialization

Citations

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

Fields of papers citing papers by Kenta Oono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenta Oono

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Oono, Kenta, et al.. (2024). GenerRNA: A generative pre-trained language model for de novo RNA design. PLoS ONE. 19(10). e0310814–e0310814. 10 indexed citations

2.

Ishikawa, Isao, et al.. (2020). Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators. Neural Information Processing Systems. 33. 3362–3373. 1 indexed citations

3.

Oono, Kenta & Taiji Suzuki. (2020). Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks. Neural Information Processing Systems. 33. 18917–18930. 1 indexed citations

4.

Oono, Kenta & Taiji Suzuki. (2020). Graph Neural Networks Exponentially Lose Expressive Power for Node Classification. International Conference on Learning Representations. 32 indexed citations

5.

Oono, Kenta & Taiji Suzuki. (2019). On Asymptotic Behaviors of Graph CNNs from Dynamical Systems Perspective. arXiv (Cornell University). 4 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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