Yoko Uwate

816 total citations · 1 hit paper
119 papers, 520 citations indexed

About

Yoko Uwate is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Yoko Uwate has authored 119 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Networks and Communications, 54 papers in Artificial Intelligence and 50 papers in Statistical and Nonlinear Physics. Recurrent topics in Yoko Uwate's work include Neural Networks and Applications (48 papers), Nonlinear Dynamics and Pattern Formation (44 papers) and Neural Networks Stability and Synchronization (33 papers). Yoko Uwate is often cited by papers focused on Neural Networks and Applications (48 papers), Nonlinear Dynamics and Pattern Formation (44 papers) and Neural Networks Stability and Synchronization (33 papers). Yoko Uwate collaborates with scholars based in Japan, Switzerland and China. Yoko Uwate's co-authors include Yoshifumi Nishio, Ruedi Stoop, Philipp Benner, Chi‐Tsun Cheng, Shahid Mumtaz, Kim Fung Tsang, Chung Kit Wu, Guanrong Chen, R. Stoop and A. Kern and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Molecular Biology of the Cell.

In The Last Decade

Yoko Uwate

86 papers receiving 498 citations

Hit Papers

State-of-the-Art and Research Opportunities for Next-Gene... 2022 2026 2023 2024 2022 40 80 120

Peers

Yoko Uwate
Yuankun Xue United States
Kaijun Wu China
Frank Z. Wang United Kingdom
Oliver Obst Australia
Huang Wei China
Liviu Goraş Romania
Yuankun Xue United States
Yoko Uwate
Citations per year, relative to Yoko Uwate Yoko Uwate (= 1×) peers Yuankun Xue

Countries citing papers authored by Yoko Uwate

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Uwate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Uwate

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

All Works

20 of 20 papers shown
1.
Uwate, Yoko, et al.. (2024). Predictive Maintenance Edge Artificial Intelligence Application Study Using Recurrent Neural Networks for Early Aging Detection in Peristaltic Pumps. IEEE Transactions on Reliability. 74(3). 3730–3744. 4 indexed citations
2.
Uwate, Yoko, et al.. (2023). Dynamics of chaotic circuit networks with local bridges. Nonlinear Theory and Its Applications IEICE. 14(2). 534–546. 1 indexed citations
3.
Wu, Chung Kit, Chi‐Tsun Cheng, Yoko Uwate, et al.. (2022). State-of-the-Art and Research Opportunities for Next-Generation Consumer Electronics. IEEE Transactions on Consumer Electronics. 69(4). 937–948. 135 indexed citations breakdown →
4.
Uwate, Yoko & Yoshifumi Nishio. (2022). Clustering in Globally Coupled Chaotic Circuits with Changing Weights. 247–248.
6.
Takeuchi, Masaki, et al.. (2017). K-Means Clustering with Modifying Firefly Algorithm. 29. 576–579.
7.
Uwate, Yoko, Yoshifumi Nishio, & Ruedi Stoop. (2016). Synchronization in Dynamical Polygonal Oscillatory Networks with Switching Topology. 48. 1 indexed citations
9.
Uwate, Yoko, et al.. (2016). Multi-Layer Perceptron with Pulse Glial Chain. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E99.A(3). 742–755. 2 indexed citations
10.
Uwate, Yoko, et al.. (2015). Synchronization of Coupled Chaotic Circuits with Parameter Dispersion in Small-World Network. 47. 1 indexed citations
11.
Uwate, Yoko, et al.. (2014). Multimode Oscillations in Coupled Oscillators With High-Order Nonlinear Characteristics. IEEE Transactions on Circuits and Systems I Regular Papers. 61(9). 2653–2662. 6 indexed citations
12.
Uwate, Yoko, et al.. (2013). Investigation of Particle Swarm Optimization with Predator. IEICE Technical Report; IEICE Tech. Rep.. 113(271). 109–112. 1 indexed citations
13.
Uwate, Yoko, et al.. (2012). Clustering Phenomena in Complex Networks Coupled with a Resistors. 112(6). 41–44.
14.
Nakagawa, Masashi, Yoko Uwate, & Yoshifumi Nishio. (2010). Template Design of CNN by BP with Annealing Noise. IEICE Technical Report; IEICE Tech. Rep.. 110(166). 93–98. 1 indexed citations
15.
Uwate, Yoko, et al.. (2010). Multi-Layer Perceptron Having Neuro-Glia Network. IEICE Technical Report; IEICE Tech. Rep.. 110(122). 13–17. 1 indexed citations
16.
Matsumoto, Koichi, et al.. (2006). Synchronization Phenomena in a Ring of Coupled Wien-Bridge Oscillators. 105(547). 71–74.
17.
Uwate, Yoko, et al.. (2005). Ultra-Wideband Chaotic Radar and Clutter Reduction Methods. 9(6). 473–478. 1 indexed citations
18.
Uwate, Yoko, et al.. (2005). Research on Clutter Reduction Methods of a UWB Chaotic Radar. Molecular Biology of the Cell. 20(17). 3818–27. 1 indexed citations
19.
Uwate, Yoko, Yoshifumi Nishio, & Akio Ushida. (2004). Markov Chain Modeling of Intermittency Chaos and Its Application to Hopfield NN. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 87(4). 774–779. 8 indexed citations
20.
Uwate, Yoko, Yoshifumi Nishio, Tetsushi Ueta, Tohru Kawabe, & Tohru Ikeguchi. (2004). PERFORMANCE OF CHAOS AND BURST NOISES INJECTED TO THE HOPFIELD NN FOR QUADRATIC ASSIGNMENT PROBLEMS. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 87(4). 937–943. 16 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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