Junichi Murata

3.1k total citations · 1 hit paper
169 papers, 2.2k citations indexed

About

Junichi Murata is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Junichi Murata has authored 169 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Artificial Intelligence, 56 papers in Control and Systems Engineering and 27 papers in Electrical and Electronic Engineering. Recurrent topics in Junichi Murata's work include Neural Networks and Applications (63 papers), Evolutionary Algorithms and Applications (40 papers) and Metaheuristic Optimization Algorithms Research (29 papers). Junichi Murata is often cited by papers focused on Neural Networks and Applications (63 papers), Evolutionary Algorithms and Applications (40 papers) and Metaheuristic Optimization Algorithms Research (29 papers). Junichi Murata collaborates with scholars based in Japan, Malaysia and United States. Junichi Murata's co-authors include Md Abdus Samad Kamal, Masakazu Mukai, Taketoshi Kawabe, Kotaro Hirasawa, Jinglu Hu, Fengji Luo, Zhao Yang Dong, Gaoqi Liang, Zhao Xu and Tatsuro Ouchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Controlled Release and IEEE Transactions on Power Systems.

In The Last Decade

Junichi Murata

146 papers receiving 2.1k citations

Hit Papers

Model Predictive Control of Vehicles on Urban Roads for I... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junichi Murata Japan 20 977 795 568 546 274 169 2.2k
Yilu Zhang China 23 328 0.3× 249 0.3× 322 0.6× 166 0.3× 113 0.4× 112 1.9k
Fanlin Meng United Kingdom 21 457 0.5× 128 0.2× 200 0.4× 612 1.1× 66 0.2× 81 1.5k
Xiaofeng Xie China 20 474 0.5× 96 0.1× 792 1.4× 216 0.4× 238 0.9× 70 1.7k
Yanzhi Wang United States 23 305 0.3× 249 0.3× 327 0.6× 815 1.5× 91 0.3× 82 2.0k
Ahmed Chiheb Ammari Tunisia 18 173 0.2× 377 0.5× 300 0.5× 704 1.3× 52 0.2× 67 1.9k
Philipp Moritz Germany 10 468 0.5× 217 0.3× 1.1k 1.9× 272 0.5× 25 0.1× 19 1.9k
Archie C. Chapman Australia 26 1.3k 1.3× 168 0.2× 188 0.3× 2.2k 4.1× 16 0.1× 105 3.2k
Stéphane Galland France 18 251 0.3× 259 0.3× 233 0.4× 69 0.1× 335 1.2× 107 1.1k
Ton Duc Kazakhstan 24 1.4k 1.4× 681 0.9× 200 0.4× 2.1k 3.8× 14 0.1× 97 2.9k
Yujian Ye China 23 637 0.7× 256 0.3× 132 0.2× 1.6k 2.9× 18 0.1× 118 2.1k

Countries citing papers authored by Junichi Murata

Since Specialization
Citations

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

Fields of papers citing papers by Junichi Murata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junichi Murata

This figure shows the co-authorship network connecting the top 25 collaborators of Junichi Murata. A scholar is included among the top collaborators of Junichi Murata 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 Junichi Murata. Junichi Murata 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.
Zhang, Peng, et al.. (2013). Optimal Generation Schedule in Micro-Grids Considering the Possible Damage by Uncertainties of Forecasts. Kyushu University Institutional Repository (QIR) (Kyushu University). 18(2). 75–83. 1 indexed citations
2.
Takano, Hirotaka, et al.. (2013). A study on visual abstraction for reinforcement learning problem using Learning Vector Quantization. Society of Instrument and Control Engineers of Japan. 1326–1331. 2 indexed citations
3.
Takano, Hirotaka, et al.. (2013). Re-labeling Differential Evolution for combinatorial optimization. Society of Instrument and Control Engineers of Japan. 1550–1555. 1 indexed citations
4.
Murata, Junichi, et al.. (2011). A study on use of prior information for acceleration of reinforcement learning. Society of Instrument and Control Engineers of Japan. 537–543. 3 indexed citations
5.
Takano, Hirotaka, et al.. (2011). Daily solar radiation prediction based on wavelet analysis. Society of Instrument and Control Engineers of Japan. 712–717. 26 indexed citations
6.
Kamal, Md Abdus Samad, Masakazu Mukai, Junichi Murata, & Tohru Kawabe. (2009). Development of ecological driving assist system model predictive approach in vehicle control. 2 indexed citations
7.
Murata, Junichi, et al.. (2007). Introduction and control of subgoals in reinforcement learning. 329–334. 2 indexed citations
8.
Kamal, Md Abdus Samad, et al.. (2004). Task-oriented reinforcement learning for continuing task in dynamic environment. Kyushu University Institutional Repository (QIR) (Kyushu University). 9(1). 7–12. 4 indexed citations
9.
Murata, Junichi. (2003). Where Are They Headed. 55. 135–142.
10.
Hussein, Ahmed, Jinglu Hu, Kotaro Hirasawa, & Junichi Murata. (2002). NEURAL NETWORK SPEED CONTROLLER OF A DC MOTOR SUPPLIED FROM PHOTOVOLTAIC GENERATOR VIA DC-DC BUCK-BOOST CONVERTER. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2002(0). 111–116. 2 indexed citations
11.
Hirasawa, Kotaro, et al.. (2002). Increasing robustness of genetic algorithm. Genetic and Evolutionary Computation Conference. 456–462.
12.
Hirasawa, Kotaro, et al.. (2002). A new model to realize variable size Genetic Network Programming. Genetic and Evolutionary Computation Conference. 890–890. 1 indexed citations
13.
Hirasawa, Kotaro, et al.. (2001). Genetic symbiosis algorithm for multiobjective optimization problems. Genetic and Evolutionary Computation Conference. 771–771. 4 indexed citations
14.
Hirasawa, Kotaro, et al.. (2001). Network structure oriented evolutionary model–genetic network programming–and its Comparison with genetic programming. Genetic and Evolutionary Computation Conference. 38(5). 179–179. 40 indexed citations
15.
Chen, Xiufang, Kotaro Hirasawa, Jinglu Hu, & Junichi Murata. (2000). Minimax control of nonlinear systems using Universal Learning Networks. Kyushu University Institutional Repository (QIR) (Kyushu University). 5(1). 51–56.
16.
Hirasawa, Kotaro, et al.. (1998). Feed-forward Control of Thermal Power Plants Using Neural Networks. Kyushu University Institutional Repository (QIR) (Kyushu University). 3(1). 13–21. 1 indexed citations
17.
Murata, Junichi, et al.. (1997). Microglial cells induce cytotoxic effects toward colon carcinoma cells: Measurement of tumor cytotoxicity with a ?-glutamyl transpeptidase assay. International Journal of Cancer. 70(2). 169–174. 43 indexed citations
18.
Hirasawa, Kotaro, et al.. (1996). Robust control using second order derivative of universal learning network. 2. 1184–1189. 6 indexed citations
19.
Murata, Junichi, et al.. (1995). Likelihood Search Method with Variable Division Search. 제어로봇시스템학회 국내학술대회 논문집. 1(1). 14–17.
20.
Nakamura, Hideo, Kousuke Kumamaru, Junichi Murata, et al.. (1994). A Simulator-Based Quick Identification Method of Nonlinear Systems. Transactions of the Society of Instrument and Control Engineers. 30(8). 908–916. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026