Shin‐ichi Maeda
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- Image and Signal Denoising Methods 8
- Artificial Intelligence top 1%
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- Algal biology and biofuel production 10
- Oceanography top 5%
- Signal Processing top 5%
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- Photosynthetic Processes and Mechanisms 22
- Protist diversity and phylogeny 6
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- Plant nutrient uptake and metabolism 12
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- Microbial Community Ecology and Physiology 10
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- Amino Acid Enzymes and Metabolism 8
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- Sparse and Compressive Sensing Techniques 6
- Co-authors
- Shin IshiiMasanori KoyamaTakeru MiyatoTatsuo OmataG. Dean PriceMurray R. BadgerNobuyuki TakataniYukari Takahashi
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceRenewable Energy, Sustainability and the Environment
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (4 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Shin‐ichi Maeda
73 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 964
- Artificial Intelligence 1.3k
- Renewable Energy, Sustainability and the Environment 635
- Oceanography 250
- Signal Processing 167
Countries citing papers authored by Shin‐ichi Maeda
This map shows the geographic impact of Shin‐ichi Maeda'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 Shin‐ichi Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin‐ichi Maeda more than expected).
Fields of papers citing papers by Shin‐ichi Maeda
This network shows the impact of papers produced by Shin‐ichi Maeda. 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 Shin‐ichi Maeda. The network helps show where Shin‐ichi Maeda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shin‐ichi Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Robustness to Adversarial Perturbations in Learning from Incomplete Data | 2019 | 5 |
| 2 | Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks. | 2019 | 8 |
| 3 | Clipped Action Policy Gradient | 2018 | 1 |
| 4 | Synthetic Gradient Methods with Virtual Forward-Backward Networks | 2017 | 0 |
| 5 | 2017 | 2 | |
| 6 | Distributional Smoothing with Virtual Adversarial Training | 2016 | 97 |
| 7 | Distributional Smoothing by Virtual Adversarial Examples | 2015 | 2 |
| 8 | Layered Monte-Carlo planning method for incomplete information games and its application to Puyo-Puyo | 2014 | 1 |
| 9 | Fusion of Multiple Cues from Color and Depth Domains using Occlusion Aware Bayesian Tracker | 2014 | 5 |
| 10 | 2014 | 1 | |
| 11 | 2014 | 54 | |
| 12 | Control of the falling cat motion by using path-integral reinforcement learning | 2013 | 1 |
| 13 | Generalized TD Learning | 2011 | 16 |
| 14 | Generalization of TD-learning from a Semiparametric Statistical Viewpoint | 2010 | 1 |
| 15 | 2010 | 7 | |
| 16 | 2008 | 1 | |
| 17 | 2007 | 14 | |
| 18 | 2007 | 16 | |
| 19 | 2006 | 26 | |
| 20 | Molecular analysis of the structure-function relationship of the nitrate/nitrite transporter in Synechococcus sp. PCC 7942 | 1999 | 2 |
About Shin‐ichi Maeda
Shin‐ichi Maeda is a scholar working on Structural Biology, Biochemistry and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 3.4k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (22 papers), Plant nutrient uptake and metabolism (12 papers), Algal biology and biofuel production (10 papers), Microbial Community Ecology and Physiology (10 papers), Amino Acid Enzymes and Metabolism (8 papers), Image and Signal Denoising Methods (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Protist diversity and phylogeny (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (964 citations), Artificial Intelligence (1.3k citations) and Renewable Energy, Sustainability and the Environment (635 citations). Shin‐ichi Maeda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Shin Ishii, Masanori Koyama, Takeru Miyato, Tatsuo Omata, G. Dean Price, Murray R. Badger, Nobuyuki Takatani, Yukari Takahashi, Kan Tanaka and Ryohei Tanigawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.