Atsushi Uchida

11.1k total citations · 1 hit paper
308 papers, 8.3k citations indexed

About

Atsushi Uchida is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Atsushi Uchida has authored 308 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Networks and Communications, 79 papers in Electrical and Electronic Engineering and 73 papers in Artificial Intelligence. Recurrent topics in Atsushi Uchida's work include Nonlinear Dynamics and Pattern Formation (83 papers), Neural Networks and Reservoir Computing (67 papers) and Chaos control and synchronization (63 papers). Atsushi Uchida is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (83 papers), Neural Networks and Reservoir Computing (67 papers) and Chaos control and synchronization (63 papers). Atsushi Uchida collaborates with scholars based in Japan, United States and France. Atsushi Uchida's co-authors include Kazutaka Kanno, Peter Davis, Kazuyuki Yoshimura, Shigeru Yoshimori, Yoshitaka Shinto, Katsuhiko Ono, Satoshi Sunada, Takahisa Harayama, Makoto Naruse and Rajarshi Roy and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Atsushi Uchida

292 papers receiving 7.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fast physical random bit generation with chaotic semiconductor lasers

2008 744 citations Atsushi Uchida, Shigeru Yoshimori et al. profile →

Peers

Countries citing papers authored by Atsushi Uchida

Since Specialization

Citations

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

Fields of papers citing papers by Atsushi Uchida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Uchida

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Controlling nonlinearity and memory by feedback delay time in delay-based reservoir computing 2024 ·Nonlinear Theory and Its Applications IEICE ·(unknown), Kazutaka Kanno, Atsushi Uchida	1
2	Experimental control of mode-competition dynamics in a chaotic multimode semiconductor laser for decision making 2024 ·Optics Express ·(unknown), (unknown), Kazutaka Kanno, Makoto Naruse, Atsushi Uchida	1
3	Parallel photonic accelerator for decision making using optical spatiotemporal chaos 2023 ·Optica ·(unknown), (unknown), (unknown), Kazutaka Kanno, Makoto Naruse, Atsushi Uchida	8
4	Synchronization of two chaotic microresonator frequency combs 2023 ·Optics Express ·David Moreno-Salinas, Shun Fujii, (unknown), (unknown), Atsushi Uchida, Pablo Sanchis, Takasumi Tanabe	2
5	Controlling chaotic itinerancy in laser dynamics for reinforcement learning 2022 ·Science Advances ·(unknown), (unknown), Kazutaka Kanno, Satoshi Sunada, Makoto Naruse, Atsushi Uchida	27
6	Ultrafast silicon threshold circuitry for chaotic laser time series 2022 ·AIP Advances ·(unknown), Shinsuke Hara, (unknown), Akifumi Kasamatsu, (unknown), (unknown), Atsushi Uchida, Makoto Naruse	1
7	Photonic decision making for solving competitive multi-armed bandit problem using semiconductor laser networks 2022 ·Nonlinear Theory and Its Applications IEICE ·(unknown), Kazutaka Kanno, Makoto Naruse, Atsushi Uchida	2
8	Prediction and Replication of Chaotic Dynamics Using Photonic Reservoir Computing with Semiconductor Laser 2022 ·(unknown), Kazutaka Kanno, Atsushi Uchida	1
9	Laser network decision making by lag synchronization of chaos in a ring configuration 2020 ·Optics Express ·(unknown), (unknown), Kazutaka Kanno, Makoto Naruse, Atsushi Uchida	31
10	Decision making for the multi-armed bandit problem using lag synchronization of chaos in mutually coupled semiconductor lasers 2019 ·Optics Express ·(unknown), (unknown), (unknown), Kazutaka Kanno, Satoshi Sunada, Makoto Naruse, Atsushi Uchida	24
11	Novel frontier of photonics for data processing—Photonic accelerator 2019 ·APL Photonics ·Ken-ichi Kitayama, Masaya Notomi, Makoto Naruse, Koji Inoue, Satoshi Kawakami, Atsushi Uchida	139
12	Memory Effect on Adaptive Decision Making with a Chaotic Semiconductor Laser 2018 ·Complexity ·(unknown), (unknown), Makoto Naruse, Song-Ju Kim, Atsushi Uchida	16
13	Physical implementation of oblivious transfer using optical correlated randomness 2017 ·Scientific Reports ·(unknown), (unknown), (unknown), (unknown), (unknown), Atsushi Uchida, Takeshi Koshiba, Jun Muramatsu, Kazuyuki Yoshimura, Masanobu Inubushi, Peter Davis	5
14	Ultrafast photonic reinforcement learning based on laser chaos 2017 ·Scientific Reports ·Makoto Naruse, (unknown), Atsushi Uchida, Song-Ju Kim	71
15	Generation of orthogonal codes with chaotic optical systems 2011 ·Optics Letters ·Damien Rontani, Alexandre Locquet, Marc Sciamanna, D. S. Citrin, Atsushi Uchida	7
16	Development of growth stage classification method for paddy fields by using Sparse Linear Discriminant Analysis 2011 ·Atsushi Uchida, (unknown), (unknown), Keigo Yoshida, (unknown), Chiaki Kobayashi, Osamu Kashimura, (unknown), (unknown), (unknown), (unknown)	2
17	Separation of mixed chaotic signals in microchip lasers by independent component analysis 2007 ·Atsushi Uchida, (unknown), Shigeru Yoshimori, Ken Umeno	1
18	Indoor wireless innovation: Preparing and deploying advanced indoor coverage end-to-end in Japan 2007 ·Atsushi Uchida, (unknown), (unknown), Larry Richards	2
19	Synchronization of Chaos in One-Way Coupled Colpitts Oscillators 2002 ·IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ·Atsushi Uchida, (unknown), (unknown), Shigeru Yoshimori	2
20	GABA-ergic stimulation in hypothalamic pressor area induces larger sympathetic and cardiovascular depression in spontaneously hypertensive rats 1996 ·American Journal of Hypertension ·Kazumasa Takenaka, S. Sasaki, Atsushi Uchida, H. Fujita, Kazuo Nakamura, Takafumi Ichida, Hideaki Itoh, Tomoaki Nakata, Kazuya Takeda, M. Nakagawa	31

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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