Ikuo Yoshihara

575 total citations
67 papers, 221 citations indexed

About

Ikuo Yoshihara is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Ikuo Yoshihara has authored 67 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 18 papers in Electrical and Electronic Engineering and 8 papers in Molecular Biology. Recurrent topics in Ikuo Yoshihara's work include Neural Networks and Applications (17 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Evolutionary Algorithms and Applications (12 papers). Ikuo Yoshihara is often cited by papers focused on Neural Networks and Applications (17 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Evolutionary Algorithms and Applications (12 papers). Ikuo Yoshihara collaborates with scholars based in Japan and United States. Ikuo Yoshihara's co-authors include Masahiro Yasunaga, Moritoshi Yasunaga, Hung D. Nguyen, K. Sugawara, Masaki Sano, Jung Ho Kim, Norihiro Aibe, Tadayoshi Aoyama, Taro Nakamura and Kôji Abe and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, IEEE Transactions on Magnetics and Artificial Life.

In The Last Decade

Ikuo Yoshihara

55 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ikuo Yoshihara Japan	8	84	66	46	30	26	67	221
Yin-Te Tsai Taiwan	8	92 1.1×	34 0.5×	65 1.4×	39 1.3×	18 0.7×	27	229
David Jaz Myers United Kingdom	8	91 1.1×	47 0.7×	26 0.6×	22 0.7×	7 0.3×	23	251
Takashi Horiyama Japan	8	34 0.4×	41 0.6×	15 0.3×	49 1.6×	8 0.3×	43	167
Pauline C. Haddow Norway	11	298 3.5×	76 1.2×	99 2.2×	96 3.2×	11 0.4×	48	409
Junjie Li China	8	162 1.9×	42 0.6×	23 0.5×	16 0.5×	7 0.3×	28	241
H. Fatih Uğurdağ Türkiye	10	39 0.5×	137 2.1×	8 0.2×	39 1.3×	46 1.8×	55	291
David Harlan Wood United States	7	112 1.3×	11 0.2×	50 1.1×	44 1.5×	13 0.5×	20	204
A.M. Tyrrell United Kingdom	10	119 1.4×	28 0.4×	89 1.9×	38 1.3×	4 0.2×	27	251
Jitendra Kumar Das India	10	40 0.5×	107 1.6×	81 1.8×	12 0.4×	5 0.2×	52	297
Karsten Weicker Germany	6	111 1.3×	90 1.4×	8 0.2×	97 3.2×	12 0.5×	17	241

Countries citing papers authored by Ikuo Yoshihara

Since Specialization

Citations

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

Fields of papers citing papers by Ikuo Yoshihara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikuo Yoshihara

This figure shows the co-authorship network connecting the top 25 collaborators of Ikuo Yoshihara. A scholar is included among the top collaborators of Ikuo Yoshihara 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 Ikuo Yoshihara. Ikuo Yoshihara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yasunaga, Moritoshi, et al.. (2011). Signal-integrity improvement based on the segmental-transmission-line. 5216. 251–254. 7 indexed citations

Yoshihara, Ikuo, et al.. (2009). An automatic model building for screening functional foods with GP. 2009 ICCAS-SICE. 3679–3684. 1 indexed citations

Yamaguchi, Yoshiki, et al.. (2005). Bio-Inspired Camera System with FPGA. IEICE Technical Report; IEICE Tech. Rep.. 105(288). 49–54. 2 indexed citations

Yoshihara, Ikuo, et al.. (2004). Multi-Modal Neural Networks for Symbolic Sequence Pattern Classification. IEICE Transactions on Information and Systems. 87(7). 1943–1952. 1 indexed citations

Yasunaga, Masahiro, Ikuo Yoshihara, & Jung Ho Kim. (2004). The design of segmental-transmission-line for high-speed digital signals using genetic algorithms. 3. 1748–1755. 10 indexed citations

Yoshihara, Ikuo, et al.. (2003). GP-Based Method for Extracting Exons from DNA Sequence. 32(32). 289–294.

Aibe, Norihiro, et al.. (2003). A probabilistic neural network hardware system using a learning-parameter parallel architecture. 2270–2275. 8 indexed citations

Nguyen, Hung D., et al.. (2003). A parallel hybrid genetic algorithm for multiple protein sequence alignment. 1. 309–314. 15 indexed citations

Yasunaga, Masahiro, Taro Nakamura, & Ikuo Yoshihara. (2003). Sonar spectrum recognition chip designed by evolutionary algorithm. 5. 3182–3187. 3 indexed citations

10.

Yoshihara, Ikuo, et al.. (2002). Comparison with Defect Compensation Methods for Feed-forward Neural Networks. 31(31). 293–300. 1 indexed citations

11.

Yasunaga, Masahiro, et al.. (2002). Kernel-based pattern recognition hardware: its design methodology using evolved truth tables. 1478. 253–262.

12.

Yoshihara, Ikuo, et al.. (2002). GP-based modeling method for time series prediction with parameter optimization and node alternation. 2. 1475–1481. 6 indexed citations

13.

Yoshihara, Ikuo, et al.. (2000). A fast model-building method for time series using genetic programming. Genetic and Evolutionary Computation Conference. 537–537.

14.

Yoshihara, Ikuo, et al.. (1999). Prediction of Time Histories of Seismic Ground Motion Using Genetic Programming. 제어로봇시스템학회 국내학술대회 논문집. 5. 226–229. 1 indexed citations

15.

Yoshihara, Ikuo, et al.. (1999). A CONSTRUCTION METHOD OF MULTIPLE CONTROL SYSTEMS USING PARTIAL KNOWLEDGE UPON SYSTEM DYNAMICS. 제어로봇시스템학회 국내학술대회 논문집. 5. 73–78.

16.

Aoyama, Tomoo, et al.. (1999). Functional memories constructed of neural network. 제어로봇시스템학회 국내학술대회 논문집. 5. 210–213. 1 indexed citations

17.

Aoyama, Tomoo, et al.. (1999). Forecasting and precision on using multi-layer neural network. 5(81). 218–221. 1 indexed citations

18.

Sugawara, K., et al.. (1999). A scaling law between the number of multirobots and their task performance. Artificial Life and Robotics. 3(2). 122–126. 5 indexed citations

19.

Yoshihara, Ikuo, Tomoyuki Nakagawa, & Moritoshi Yasunaga. (1998). A multi-modal neural network using Chebyschev polynomials. 제어로봇시스템학회 국내학술대회 논문집. 2. 250–253. 1 indexed citations

20.

Yoshihara, Ikuo, et al.. (1997). A PROPOSAL OF SWITCHING CONTROL SYSTEM BASED ON SPECULATIVE CONTROL AND ITS APPLICATION TO ANTISKID BRAKING SYSTEM. 제어로봇시스템학회 국내학술대회 논문집. 1. 585–588. 1 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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