Ichiro Takeuchi

7.4k total citations
277 papers, 5.0k citations indexed

About

Ichiro Takeuchi is a scholar working on Artificial Intelligence, Oceanography and Ecology. According to data from OpenAlex, Ichiro Takeuchi has authored 277 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 58 papers in Oceanography and 55 papers in Ecology. Recurrent topics in Ichiro Takeuchi's work include Marine Biology and Ecology Research (51 papers), Coral and Marine Ecosystems Studies (24 papers) and Genetic Associations and Epidemiology (24 papers). Ichiro Takeuchi is often cited by papers focused on Marine Biology and Ecology Research (51 papers), Coral and Marine Ecosystems Studies (24 papers) and Genetic Associations and Epidemiology (24 papers). Ichiro Takeuchi collaborates with scholars based in Japan, Vietnam and United States. Ichiro Takeuchi's co-authors include Shinsuke Tanabe, Masayuki Karasuyama, Reijiro Hirano, Shin Takahashi, Tokutaka Ikemoto, Koji Omori, Yoshiji Yamada, Nobuyuki Miyazaki, Tetsuo Fujimaki and José M. Guerra‐García and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ichiro Takeuchi

260 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ichiro Takeuchi Japan 38 1.0k 841 835 806 587 277 5.0k
Yu Wang China 42 1.2k 1.2× 755 0.9× 509 0.6× 122 0.2× 327 0.6× 444 7.6k
Dongmei Chen China 44 858 0.9× 1.8k 2.2× 664 0.8× 98 0.1× 1.7k 2.9× 345 9.4k
Ning Li China 41 384 0.4× 749 0.9× 495 0.6× 913 1.1× 715 1.2× 505 6.7k
Bai Zhang China 48 567 0.6× 1.2k 1.4× 135 0.2× 458 0.6× 1.4k 2.4× 333 7.1k
Jie Jie China 27 810 0.8× 179 0.2× 256 0.3× 147 0.2× 250 0.4× 1.2k 5.2k
Yansheng Li China 44 690 0.7× 518 0.6× 202 0.2× 51 0.1× 584 1.0× 198 7.2k
Feng China 29 711 0.7× 337 0.4× 238 0.3× 136 0.2× 445 0.8× 719 4.2k
Patrick J. Haley United States 35 417 0.4× 159 0.2× 149 0.2× 1.2k 1.5× 425 0.7× 141 4.0k
Zhilin Li China 43 356 0.4× 587 0.7× 169 0.2× 196 0.2× 729 1.2× 400 7.3k
Jian JIAN China 26 852 0.8× 183 0.2× 163 0.2× 79 0.1× 204 0.3× 1.2k 5.3k

Countries citing papers authored by Ichiro Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Ichiro Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ichiro Takeuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Ichiro Takeuchi. A scholar is included among the top collaborators of Ichiro 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 Ichiro Takeuchi. Ichiro 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
1.
Takeuchi, Ichiro. (2025). Statistical Reliability of Data‐Driven Science and Technology. IEEJ Transactions on Electrical and Electronic Engineering. 20(5). 668–675.
2.
4.
Nakayama, Masanobu, K. Nakano, Naoto Tanibata, et al.. (2022). Na superionic conductor-type LiZr2(PO4)3 as a promising solid electrolyte for use in all-solid-state Li metal batteries. Chemical Communications. 58(67). 9328–9340. 12 indexed citations
5.
Nakano, K., Naoto Tanibata, Hayami Takeda, et al.. (2022). Bayesian optimisation with transfer learning for NASICON-type solid electrolytes for all-solid-state Li-metal batteries. RSC Advances. 12(47). 30696–30703. 14 indexed citations
6.
Takeuchi, Ichiro, et al.. (2022). Root-finding approaches for computing conformal prediction set. Machine Learning. 112(1). 151–176. 6 indexed citations
7.
Yu, I., et al.. (2021). Mean-Variance Analysis in Bayesian Optimization under Uncertainty. International Conference on Artificial Intelligence and Statistics. 973–981. 1 indexed citations
8.
Nakano, K., Yusuke Noda, Naoto Tanibata, et al.. (2020). Exhaustive and informatics-aided search for fast Li-ion conductor with NASICON-type structure using material simulation and Bayesian optimization. APL Materials. 8(4). 22 indexed citations
9.
Suzuki, Shinya, Naoto Tanibata, Hayami Takeda, et al.. (2020). Efficient Experimental Search for Discovering a Fast Li-Ion Conductor from a Perovskite-Type LixLa(1–x)/3NbO3 (LLNO) Solid-State Electrolyte Using Bayesian Optimization. The Journal of Physical Chemistry C. 125(1). 152–160. 22 indexed citations
10.
Takeda, Hayami, Shinya Suzuki, K. Nakano, et al.. (2020). Bayesian-optimization-guided experimental search of NASICON-type solid electrolytes for all-solid-state Li-ion batteries. Journal of Materials Chemistry A. 8(30). 15103–15109. 50 indexed citations
11.
Tsukada, Yuhki, et al.. (2019). Multi-fidelity Bayesian Optimization with Max-value Entropy Search.. arXiv (Cornell University). 6 indexed citations
12.
Yasukochi, Yoshiki, Jun Sakuma, Ichiro Takeuchi, et al.. (2019). Evolutionary history of disease‐susceptibility loci identified in longitudinal exome‐wide association studies. Molecular Genetics & Genomic Medicine. 7(9). e925–e925.
13.
Yasukochi, Yoshiki, Jun Sakuma, Ichiro Takeuchi, et al.. (2017). Two novel susceptibility loci for type 2 diabetes mellitus identified by longitudinal exome-wide association studies in a Japanese population. Genomics. 111(1). 34–42. 6 indexed citations
14.
Hijiya, Naoki, Yoshiyuki Tsukamoto, Chisato Nakada, et al.. (2016). Genomic Loss of DUSP4 Contributes to the Progression of Intraepithelial Neoplasm of Pancreas to Invasive Carcinoma. Cancer Research. 76(9). 2612–2625. 45 indexed citations
15.
Natsume, Atsushi, Motokazu Ito, Keisuke Katsushima, et al.. (2013). Chromatin Regulator PRC2 Is a Key Regulator of Epigenetic Plasticity in Glioblastoma. Cancer Research. 73(14). 4559–4570. 79 indexed citations
16.
Kuroda, Akiko, Yoshiyuki Tsukamoto, Lam Tung Nguyen, et al.. (2011). Genomic Profiling of Submucosal-Invasive Gastric Cancer by Array-Based Comparative Genomic Hybridization. PLoS ONE. 6(7). e22313–e22313. 8 indexed citations
17.
Karasuyama, Masayuki & Ichiro Takeuchi. (2009). Multiple Incremental Decremental Learning of Support Vector Machines. Neural Information Processing Systems. 22. 907–915. 7 indexed citations
18.
Nakagawa, Masao, Sivasundaram Karnan, Hiroyuki Tagawa, et al.. (2008). Array Comparative Genomic Hybridization Analysis of PTCL-U Reveals a Distinct Subgroup with Genetic Alterations Similar to Lymphoma-Type Adult T-Cell Leukemia/Lymphoma. Clinical Cancer Research. 15(1). 30–38. 42 indexed citations
19.
Takeuchi, Ichiro, et al.. (2004). LATERAL BUCKLING BEHAVIOUR AND LATERAL BRACING OF WIDE FLANGE BEAMS CONNECTED BY KNEE BRACE DAMPERS. Journal of Structural and Construction Engineering (Transactions of AIJ). 69(585). 185–192. 3 indexed citations
20.
Takeuchi, Ichiro & Masatsune Takeda. (1992). Three species of amphipod crustaceans collected from Breid and Lutzow-Holm Bays,Antarctica, during the JARE-26 Cruise. Institutional Repository National Institute of Polar Research (National Institute of Polar Research (Japan)). 5. 65–82. 5 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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