Jun’ichi Takeuchi

2.0k total citations
65 papers, 1.3k citations indexed

About

Jun’ichi Takeuchi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Jun’ichi Takeuchi has authored 65 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 27 papers in Computer Networks and Communications and 12 papers in Signal Processing. Recurrent topics in Jun’ichi Takeuchi's work include Network Security and Intrusion Detection (16 papers), Anomaly Detection Techniques and Applications (12 papers) and Algorithms and Data Compression (12 papers). Jun’ichi Takeuchi is often cited by papers focused on Network Security and Intrusion Detection (16 papers), Anomaly Detection Techniques and Applications (12 papers) and Algorithms and Data Compression (12 papers). Jun’ichi Takeuchi collaborates with scholars based in Japan, United States and Australia. Jun’ichi Takeuchi's co-authors include Kenji Yamanishi, Graham Williams, Peter Milne, Takayuki Nakata, Andrew R. Barron, Takeshi Takahashi, Naoki Abe, Шун-ичи Амари, Daisuke Inoue and Manfred K. Warmuth and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Jun’ichi Takeuchi

59 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun’ichi Takeuchi Japan 13 855 430 386 105 99 65 1.3k
XuanLong Nguyen United States 20 823 1.0× 449 1.0× 151 0.4× 108 1.0× 177 1.8× 50 1.5k
Athanasios Kehagias Greece 23 649 0.8× 165 0.4× 219 0.6× 130 1.2× 45 0.5× 72 1.3k
Yan Zhu United States 17 647 0.8× 288 0.7× 698 1.8× 83 0.8× 26 0.3× 45 1.3k
Sarah Erfani Australia 17 1.3k 1.6× 478 1.1× 302 0.8× 159 1.5× 19 0.2× 77 1.8k
Jeff M. Phillips United States 19 505 0.6× 289 0.7× 342 0.9× 54 0.5× 21 0.2× 71 1.3k
Teemu Roos Finland 17 444 0.5× 428 1.0× 417 1.1× 40 0.4× 51 0.5× 64 1.6k
Dominic Grenier Canada 12 621 0.7× 128 0.3× 101 0.3× 120 1.1× 99 1.0× 54 1.3k
Levent Ertöz United States 7 920 1.1× 676 1.6× 409 1.1× 65 0.6× 25 0.3× 10 1.3k

Countries citing papers authored by Jun’ichi Takeuchi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jun’ichi Takeuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun’ichi Takeuchi. A scholar is included among the top collaborators of Jun’ichi Takeuchi 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 Jun’ichi Takeuchi. Jun’ichi Takeuchi 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
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Nakao, Koji, Katsunari Yoshioka, Takayuki Sasaki, et al.. (2023). Mitigate: Toward Comprehensive Research and Development for Analyzing and Combating IoT Malware. IEICE Transactions on Information and Systems. E106.D(9). 1302–1315. 2 indexed citations
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Takahashi, Takeshi, et al.. (2023). Scalable and Fast Algorithm for Constructing Phylogenetic Trees With Application to IoT Malware Clustering. IEEE Access. 11. 8240–8253. 1 indexed citations
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Takeuchi, Jun’ichi, et al.. (2022). On Fisher Information Matrix for Simple Neural Networks with Softplus Activation. 2022 IEEE International Symposium on Information Theory (ISIT). 3001–3006. 2 indexed citations
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Takeuchi, Jun’ichi, et al.. (2022). Dark-TRACER: Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns. IEEE Access. 10. 13038–13058. 13 indexed citations
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Johnson, Michael, et al.. (2021). High-temperature ex-vessel corium spreading. Part 1: experimental investigations on ceramic and sacrificial concrete substrates. Journal of Nuclear Science and Technology. 59(4). 446–458. 9 indexed citations
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Takeuchi, Jun’ichi & Hiroshi Nagaoka. (2017). Information geometry of the family of Markov kernels defined by a context tree. e83 a. 429–433. 1 indexed citations
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Takeuchi, Jun’ichi, et al.. (2016). Barron and cover's theory in supervised learning and its application to lasso. International Conference on Machine Learning. 1958–1966.
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Takeuchi, Jun’ichi, et al.. (2014). Safe semi-supervised learning based on weighted likelihood. Neural Networks. 53. 146–164. 18 indexed citations
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Takeuchi, Jun’ichi, et al.. (2011). Acceleration of boosting discrimination and its application to face detection. IEICE technical report. Speech. 111(194). 111–117. 1 indexed citations
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Takeuchi, Jun’ichi, et al.. (2008). Development of Ceramic Coatings for Electrostatic Adsorption Force using Atmospheric Plasma Spraying. 34(6). 287–292. 1 indexed citations
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Takeuchi, Jun’ichi & Kenji Yamanishi. (2006). A unifying framework for detecting outliers and change points from time series. IEEE Transactions on Knowledge and Data Engineering. 18(4). 482–492. 159 indexed citations
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Barron, Andrew R. & Jun’ichi Takeuchi. (2002). Mixture models achieving optimal coding regret. 16–16. 3 indexed citations
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Takeuchi, Jun’ichi & Tsutomu Kawabata. (2002). Approximation of Bayes code for Markov sources. it93 121. 391–391. 2 indexed citations
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Takeuchi, Jun’ichi, Naoki Abe, & Шун-ичи Амари. (2000). The Lob–Pass Problem. Journal of Computer and System Sciences. 61(3). 523–557. 1 indexed citations
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Itoh, Yoshiyasu, Masahiro Saitoh, Yoshio Harada, & Jun’ichi Takeuchi. (1995). Mechanical Properties of Aluminized MCrAlY Alloy Coatings.. Journal of the Society of Materials Science Japan. 44(506). 1361–1366. 5 indexed citations
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Abe, Naoki, Manfred K. Warmuth, & Jun’ichi Takeuchi. (1991). Polynomial learnability of probabilistic concepts with respect to the Kullback-Leibler divergence. Conference on Learning Theory. 277–289. 25 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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