This map shows the geographic impact of Shingo Mabu'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 Shingo Mabu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shingo Mabu more than expected).
This network shows the impact of papers produced by Shingo Mabu. 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 Shingo Mabu. The network helps show where Shingo Mabu may publish in the future.
Co-authorship network of co-authors of Shingo Mabu
This figure shows the co-authorship network connecting the top 25 collaborators of Shingo Mabu.
A scholar is included among the top collaborators of Shingo Mabu 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 Shingo Mabu. Shingo Mabu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mabu, Shingo, et al.. (2012). Two-Stage Reinforcement Learning based on Genetic Network Programming for mobile robot. Society of Instrument and Control Engineers of Japan. 95–100.1 indexed citations
3.
Mabu, Shingo, et al.. (2011). A novel intrusion detection system based on the 2-dimensional space distribution of average matching degree. Society of Instrument and Control Engineers of Japan. 2829–2834.3 indexed citations
4.
Mabu, Shingo, et al.. (2011). Trading rules on stock markets using Genetic Network Programming-Sarsa Learning with plural subroutines. Society of Instrument and Control Engineers of Japan. 143–148.1 indexed citations
5.
Zhang, Deng, Shingo Mabu, & Kotaro Hirasawa. (2011). A robust intelligent face recognition framework using GNP-based multi-agent system. Society of Instrument and Control Engineers of Japan. 1152–1156.2 indexed citations
6.
Mabu, Shingo, et al.. (2011). Pruning high-level network using genetic algorithm for efficient hierarchical route planning in road networks. Society of Instrument and Control Engineers of Japan. 2903–2909.2 indexed citations
7.
Wang, Lutao, et al.. (2010). Generalized rule accumulation based on Genetic Network Programming considering different population size and rule length. Society of Instrument and Control Engineers of Japan. 2631–2636.
8.
Mabu, Shingo, et al.. (2010). Automatic program generation with genetic network programming using subroutines. Society of Instrument and Control Engineers of Japan. 3089–3094.2 indexed citations
Mabu, Shingo, et al.. (2010). Web mining using Genetic Relation Algorithm. Society of Instrument and Control Engineers of Japan. 1622–1627.4 indexed citations
12.
Li, Jianhua, et al.. (2010). Trading rules on stock markets using genetic network programming with subroutines. Society of Instrument and Control Engineers of Japan. 3084–3088.2 indexed citations
13.
Mabu, Shingo, et al.. (2010). Generating stock trading signals based on matching degree with extracted rules by genetic network programming. Society of Instrument and Control Engineers of Japan. 1164–1169.2 indexed citations
14.
Chen, Ci, et al.. (2009). Analysis of fuzzy class association rule mining based on Genetic Network Programming. 2009 ICCAS-SICE. 3480–3484.2 indexed citations
15.
Yu, Shanqing, et al.. (2009). Temperature parameter control of Q value-based Dynamic Programming with Boltzmann distribution. 2009 ICCAS-SICE. 1471–1476.
16.
Yang, Guangfei, Shingo Mabu, Kaoru Shimada, & Kotaro Hirasawa. (2009). A new associative classification method by integrating CMAR and an evolutionary three-layers structure. 2009 ICCAS-SICE. 2920–2925.1 indexed citations
17.
Mabu, Shingo, et al.. (2009). Class association rule mining with correlation measures using genetic network programming. 2009 ICCAS-SICE. 3850–3856.1 indexed citations
18.
Li, Xianneng, Shingo Mabu, Huiyu Zhou, Kaoru Shimada, & Kotaro Hirasawa. (2009). Genetic Network Programming with Estimation of Distribution Algorithms and its application to association rule mining for traffic prediction. 2009 ICCAS-SICE. 3457–3462.13 indexed citations
19.
Mabu, Shingo, et al.. (2009). Fuzzy association rule mining and classifier with chi-squared correlation measure using genetic network programming. 2009 ICCAS-SICE. 3863–3869.1 indexed citations
20.
Yue, Chuan, et al.. (2009). Agent bidding strategy of multiple round English Auction based on genetic network programming. 2009 ICCAS-SICE. 3857–3862.7 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.