Junya Honda
Impact in
-
- Error Correcting Code Techniques
- Cooperative Communication and Network Coding
- Artificial Intelligence top 5%
- Algorithms and Data Compression
- Machine Learning and Algorithms
Papers in
-
- Reinforcement Learning in Robotics 9
- Machine Learning and Algorithms 9
- Machine Learning and Data Classification 5
-
- Error Correcting Code Techniques 13
- Co-authors
- H. Yamamoto (11 shared papers)Akimichi Takemura (5 shared papers)Masashi Sugiyama (8 shared papers)Weihua Hu (2 shared papers)Masahiro Kato (1 shared paper)Akiko Takeda (2 shared papers)Rongke Liu (2 shared papers)Runxin Wang (2 shared papers)
- Journals
- Machine Learning (4 papers)IEEE Transactions on Information Theory (4 papers)Journal of Machine Learning Research (2 papers)Tetrahedron Letters (1 paper)IEEE Transactions on Magnetics (1 paper)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Junya Honda
45 papers receiving 472 citations
Peers
Comparison fields: 5 of 75
- Computer Networks and Communications 227
- Artificial Intelligence 232
- Management Science and Operations Research 79
- Sensory Systems 22
- Computational Theory and Mathematics 47
Countries citing papers authored by Junya Honda
This map shows the geographic impact of Junya Honda'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 Junya Honda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junya Honda more than expected).
Fields of papers citing papers by Junya Honda
This network shows the impact of papers produced by Junya Honda. 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 Junya Honda. The network helps show where Junya Honda may publish in the future.
Co-authors
The 25 scholars most cited alongside Junya Honda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 110 | |
| 2 | An Asymptotically Optimal Bandit Algorithm for Bounded Support Models. | 2010 | 35 |
| 3 | 2022 | 34 | |
| 4 | 2019 | 30 | |
| 5 | 2015 | 29 | |
| 6 | 2015 | 28 | |
| 7 | Learning from Positive and Unlabeled Data with a Selection Bias | 2018 | 25 |
| 8 | Nonconvex Optimization for Regression with Fairness Constraints. | 2018 | 22 |
| 9 | 2018 | 22 | |
| 10 | 2017 | 21 | |
| 11 | 2011 | 11 | |
| 12 | 2013 | 11 | |
| 13 | 2012 | 10 | |
| 14 | 2015 | 10 | |
| 15 | Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors | 2014 | 8 |
| 16 | 2012 | 6 | |
| 17 | 1995 | 6 | |
| 18 | Bandit Algorithms Based on Thompson Sampling for Bounded Reward Distributions | 2020 | 5 |
| 19 | Position-based Multiple-play Bandit Problem with Unknown Position Bias | 2017 | 5 |
| 20 | 2018 | 5 |
About Junya Honda
Junya Honda is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Management Science and Operations Research and Molecular Biology, having authored 48 papers that have together received 485 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (15 papers), Error Correcting Code Techniques (13 papers), Advanced Wireless Communication Techniques (10 papers), Reinforcement Learning in Robotics (9 papers), Machine Learning and Algorithms (9 papers), DNA and Biological Computing (5 papers), Machine Learning and Data Classification (5 papers) and Auction Theory and Applications (5 papers). The work is most often cited by research in Computer Networks and Communications (227 citations), Artificial Intelligence (232 citations), Management Science and Operations Research (79 citations), Sensory Systems (22 citations) and Computational Theory and Mathematics (47 citations). Junya Honda has collaborated with scholars based in Japan, United States and France. Frequent co-authors include H. Yamamoto, Akimichi Takemura, Masashi Sugiyama, Weihua Hu, Masahiro Kato, Akiko Takeda, Rongke Liu, Runxin Wang, Yi Hou and Nontawat Charoenphakdee. Their work appears in journals such as Machine Learning, IEEE Transactions on Information Theory, Journal of Machine Learning Research, Tetrahedron Letters and IEEE Transactions on Magnetics.
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.