Jun’ichi Takeuchi
Impact in
- Signal Processing top 1%
- Time Series Analysis and Forecasting
- Advanced Malware Detection Techniques
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Data Stream Mining Techniques
- Imbalanced Data Classification Techniques
- Internet Traffic Analysis and Secure E-voting
Papers in
-
- Algorithms and Data Compression 16
- Anomaly Detection Techniques and Applications 15
- Machine Learning and Algorithms 14
- Internet Traffic Analysis and Secure E-voting 11
- Bayesian Methods and Mixture Models 9
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- Network Security and Intrusion Detection 22
- Error Correcting Code Techniques 7
- Co-authors
- Kenji Yamanishi (6 shared papers)Graham J. Williams (2 shared papers)Peter Milne (2 shared papers)Takayuki Nakata (1 shared paper)Andrew R. Barron (7 shared papers)Takeshi Takahashi (19 shared papers)Naoki Abe (6 shared papers)Daisuke Inoue (6 shared papers)
- Journals
- IEEE Access (5 papers)IEEE Transactions on Information Theory (5 papers)Journal of Nuclear Science and Technology (2 papers)Machine Learning (1 paper)Neural Networks (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Jun’ichi Takeuchi
69 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Signal Processing 488
- Artificial Intelligence 1.1k
- Computer Networks and Communications 546
- Statistics and Probability 126
- Computational Mathematics 5
Countries citing papers authored by Jun’ichi Takeuchi
This map shows the geographic impact of Jun’ichi Takeuchi'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 Jun’ichi Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun’ichi Takeuchi more than expected).
Fields of papers citing papers by Jun’ichi Takeuchi
This network shows the impact of papers produced by Jun’ichi Takeuchi. 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 Jun’ichi Takeuchi. The network helps show where Jun’ichi Takeuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun’ichi Takeuchi, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 360 | |
| 2 | 2002 | 213 | |
| 3 | 2006 | 189 | |
| 4 | 2000 | 184 | |
| 5 | 2001 | 83 | |
| 6 | 2004 | 52 | |
| 7 | 1991 | 26 | |
| 8 | 2002 | 22 | |
| 9 | 2002 | 21 | |
| 10 | 2005 | 21 | |
| 11 | 2014 | 19 | |
| 12 | 2009 | 18 | |
| 13 | 2022 | 17 | |
| 14 | 2021 | 13 | |
| 15 | 2013 | 12 | |
| 16 | 2012 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2019 | 10 | |
| 20 | 2022 | 10 |
About Jun’ichi Takeuchi
Jun’ichi Takeuchi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computational Theory and Mathematics and Statistics and Probability, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (22 papers), Algorithms and Data Compression (16 papers), Anomaly Detection Techniques and Applications (15 papers), Machine Learning and Algorithms (14 papers), Internet Traffic Analysis and Secure E-voting (11 papers), Advanced Malware Detection Techniques (11 papers), Bayesian Methods and Mixture Models (9 papers) and Error Correcting Code Techniques (7 papers). The work is most often cited by research in Signal Processing (488 citations), Artificial Intelligence (1.1k citations), Computer Networks and Communications (546 citations), Statistics and Probability (126 citations) and Computational Mathematics (5 citations). Jun’ichi Takeuchi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kenji Yamanishi, Graham J. Williams, Peter Milne, Takayuki Nakata, Andrew R. Barron, Takeshi Takahashi, Naoki Abe, Daisuke Inoue, Manfred K. Warmuth and Шун-ичи Амари. Their work appears in journals such as IEEE Access, IEEE Transactions on Information Theory, Journal of Nuclear Science and Technology, Machine Learning and Neural Networks.
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.