Junichiro Yoshimoto

2.1k total citations
60 papers, 1.2k citations indexed

About

Junichiro Yoshimoto is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Junichiro Yoshimoto has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 17 papers in Artificial Intelligence and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Junichiro Yoshimoto's work include Neural dynamics and brain function (19 papers), Functional Brain Connectivity Studies (15 papers) and Reinforcement Learning in Robotics (12 papers). Junichiro Yoshimoto is often cited by papers focused on Neural dynamics and brain function (19 papers), Functional Brain Connectivity Studies (15 papers) and Reinforcement Learning in Robotics (12 papers). Junichiro Yoshimoto collaborates with scholars based in Japan, Philippines and United States. Junichiro Yoshimoto's co-authors include Kenji Doya, Shin Ishii, Wako Yoshida, T. Nakano, Shigeto Yamawaki, Masahiro Takamura, Yasumasa Okamoto, Eric Murillo‐Rodríguez, Chigusa Uchiumi and Tetsuya Yamamoto and has published in prestigious journals such as Nature Communications, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Junichiro Yoshimoto

54 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junichiro Yoshimoto Japan 17 453 238 201 193 166 60 1.2k
Michael Lindner United Kingdom 16 1.3k 2.9× 304 1.3× 143 0.7× 171 0.9× 137 0.8× 23 1.9k
David Papo Spain 24 1.0k 2.2× 92 0.4× 322 1.6× 168 0.9× 223 1.3× 72 2.3k
Paul Rodriguez United States 17 549 1.2× 277 1.2× 144 0.7× 183 0.9× 74 0.4× 33 1.2k
Sándor Miklós Szilágyi Hungary 16 280 0.6× 186 0.8× 146 0.7× 143 0.7× 46 0.3× 72 1.3k
Kenneth J. Pope Australia 22 1.2k 2.6× 351 1.5× 91 0.5× 75 0.4× 117 0.7× 67 1.8k
John P. John India 26 581 1.3× 121 0.5× 103 0.5× 376 1.9× 139 0.8× 100 2.2k
Pedro A. M. Mediano United Kingdom 20 769 1.7× 136 0.6× 109 0.5× 160 0.8× 99 0.6× 68 1.3k
Shahriar Gharibzadeh Iran 18 317 0.7× 144 0.6× 107 0.5× 128 0.7× 40 0.2× 145 1.1k

Countries citing papers authored by Junichiro Yoshimoto

Since Specialization
Citations

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

Fields of papers citing papers by Junichiro Yoshimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junichiro Yoshimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Junichiro Yoshimoto. A scholar is included among the top collaborators of Junichiro Yoshimoto 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 Junichiro Yoshimoto. Junichiro Yoshimoto 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.
Yoshimoto, Junichiro, et al.. (2025). Quantum state estimation of multipartite single-photon path entanglement via local measurements. Physical review. A. 111(2).
2.
Shima, Sayuri, Yasuaki Mizutani, Junichiro Yoshimoto, et al.. (2024). Uric acid and alterations of purine recycling disorders in Parkinson’s disease: a cross-sectional study. npj Parkinson s Disease. 10(1). 3 indexed citations
3.
Mizutani, Yasuaki, Sayuri Shima, Akihiro Ueda, et al.. (2023). Correlations between serotonin impairments and clinical indices in multiple system atrophy. European Journal of Neurology. 31(3). e16158–e16158. 3 indexed citations
4.
Yamashita, Okito, et al.. (2023). Learning task-agnostic and interpretable subsequence-based representation of time series and its applications in fMRI analysis. Neural Networks. 163. 327–340. 2 indexed citations
5.
Yamamoto, Tomoaki, et al.. (2023). Negative emotion recognition using multimodal physiological signals for advanced driver assistance systems. Artificial Life and Robotics. 28(2). 388–393. 6 indexed citations
6.
Nakano, T., Masahiro Takamura, Haruki Nishimura, et al.. (2021). Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training. NeuroImage. 245. 118733–118733. 3 indexed citations
7.
Matsubara, T., Noriaki Kawaguchi, T. Nakano, et al.. (2021). Remote control of neural function by X-ray-induced scintillation. Nature Communications. 12(1). 4478–4478. 56 indexed citations
8.
Yoshino, Atsuo, Yasumasa Okamoto, Go Okada, et al.. (2020). Importance of the Habenula for Avoidance Learning Including Contextual Cues in the Human Brain: A Preliminary fMRI Study. Frontiers in Human Neuroscience. 14. 165–165. 10 indexed citations
9.
Yamamoto, Tetsuya, Junichiro Yoshimoto, Eric Murillo‐Rodríguez, & Sérgio Machado. (2019). Prediction of Daily Happiness Using Supervised Learning of Multimodal Lifelog Data. SHILAP Revista de lepidopterología. 145–152. 1 indexed citations
10.
Yoshimoto, Junichiro, Yu Shimizu, Go Okada, et al.. (2018). Identification of depression subtypes and relevant brain regions using a data-driven approach. Scientific Reports. 8(1). 14082–14082. 93 indexed citations
11.
Shimizu, Yu, Junichiro Yoshimoto, Masahiro Takamura, et al.. (2017). Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression. PLoS ONE. 12(7). e0179638–e0179638. 51 indexed citations
12.
Yoshimoto, Junichiro, et al.. (2017). Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data. BMC Bioinformatics. 18(1). 108–108. 25 indexed citations
13.
Oba, Shigeyuki, et al.. (2016). Empirical Bayesian significance measure of neuronal spike response. BMC Neuroscience. 17(1). 27–27. 1 indexed citations
14.
Nagai, Taku, Junichiro Yoshimoto, Takayuki Kannon, Keisuke Kuroda, & Kozo Kaibuchi. (2016). Phosphorylation Signals in Striatal Medium Spiny Neurons. Trends in Pharmacological Sciences. 37(10). 858–871. 42 indexed citations
15.
Nakano, T., Junichiro Yoshimoto, & Kenji Doya. (2013). A model-based prediction of the calcium responses in the striatal synaptic spines depending on the timing of cortical and dopaminergic inputs and post-synaptic spikes. Frontiers in Computational Neuroscience. 7. 119–119. 11 indexed citations
16.
Otsuka, Makoto, Junichiro Yoshimoto, & Kenji Doya. (2010). Free-energy-based Reinforcement Learning in a Partially Observable Environment. The European Symposium on Artificial Neural Networks. 10 indexed citations
17.
Uchibe, Eiji, et al.. (2009). A Generalized Natural Actor-Critic Algorithm. Neural Information Processing Systems. 22. 1312–1320. 10 indexed citations
18.
Hirayama, Jun-ichiro, Junichiro Yoshimoto, & Shin Ishii. (2004). Bayesian representation learning in the cortex regulated by acetylcholine. Neural Networks. 17(10). 1391–1400. 13 indexed citations
19.
Yoshimoto, Junichiro, Shin Ishii, & Masa-aki Sato. (2003). On-Line EM Reinforcement Learning for Automatic Control of Continuous Dynamical Systems. Transactions of the Institute of Systems Control and Information Engineers. 16(5). 209–217. 2 indexed citations
20.
Ishii, Shin, Wako Yoshida, & Junichiro Yoshimoto. (2002). Control of exploitation–exploration meta-parameter in reinforcement learning. Neural Networks. 15(4-6). 665–687. 133 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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