Kaoru Hirota

4.9k total citations · 1 hit paper
162 papers, 3.4k citations indexed

About

Kaoru Hirota is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kaoru Hirota has authored 162 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Artificial Intelligence, 37 papers in Computational Theory and Mathematics and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kaoru Hirota's work include Fuzzy Logic and Control Systems (47 papers), Quantum Computing Algorithms and Architecture (28 papers) and Quantum Information and Cryptography (24 papers). Kaoru Hirota is often cited by papers focused on Fuzzy Logic and Control Systems (47 papers), Quantum Computing Algorithms and Architecture (28 papers) and Quantum Information and Cryptography (24 papers). Kaoru Hirota collaborates with scholars based in Japan, China and Canada. Kaoru Hirota's co-authors include Fangyan Dong, Phuc Q. Le, Witold Pedrycz, Abdullah M. Iliyasu, Fei Yan, A Bargiela, Bo Sun, Luefeng Chen, Min Wu and Kazuhiro Ozawa and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Pattern Recognition.

In The Last Decade

Kaoru Hirota

144 papers receiving 3.1k citations

Hit Papers

A flexible representation of quantum images for polynomia... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaoru Hirota Japan 26 2.5k 989 682 308 294 162 3.4k
Kaoru Hirota Japan 28 2.0k 0.8× 793 0.8× 824 1.2× 29 0.1× 630 2.1× 262 3.8k
Hideyuki Takagi Japan 23 1.5k 0.6× 403 0.4× 1.1k 1.6× 57 0.2× 106 0.4× 131 3.1k
Bernhard Nebel Germany 34 3.6k 1.5× 485 0.5× 982 1.4× 13 0.0× 82 0.3× 165 5.0k
George Markowsky United States 21 498 0.2× 497 0.5× 328 0.5× 10 0.0× 146 0.5× 96 2.3k
Richard E. Korf United States 35 3.7k 1.5× 473 0.5× 1.4k 2.0× 10 0.0× 315 1.1× 119 5.2k
Miklós Maróti United States 25 725 0.3× 514 0.5× 418 0.6× 45 0.1× 92 0.3× 71 4.9k
M. Hanmandlu India 33 1.2k 0.5× 203 0.2× 2.2k 3.2× 96 0.3× 351 1.2× 263 3.9k
Mark D. Hill United States 70 1.9k 0.8× 305 0.3× 369 0.5× 98 0.3× 263 0.9× 267 18.8k
Tom Schaul United States 26 3.3k 1.3× 471 0.5× 877 1.3× 17 0.1× 358 1.2× 54 4.9k
Rob A. Rutenbar United States 42 1.1k 0.4× 1.3k 1.3× 260 0.4× 45 0.1× 180 0.6× 215 7.0k

Countries citing papers authored by Kaoru Hirota

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Hirota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaoru Hirota

This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Hirota. A scholar is included among the top collaborators of Kaoru Hirota 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 Kaoru Hirota. Kaoru Hirota 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.
Dong, Fangyan, et al.. (2024). Dynamic job shop scheduling performance evaluation based on green intelligent manufacturing and thermal efficiency improvement. Thermal Science and Engineering Progress. 53. 102785–102785. 1 indexed citations
2.
Li, Min, Luefeng Chen, Min Wu, Kaoru Hirota, & Witold Pedrycz. (2024). Broad-deep network-based fuzzy emotional inference model with personal information for intention understanding in human–robot interaction. Annual Reviews in Control. 57. 100951–100951. 1 indexed citations
3.
Chen, Luefeng, Xiao Liu, Min Wu, et al.. (2024). A LESO Based Backstepping Controller Considering Coal Seam Hardness for Rotary Speed in Coal Mine Tunnel Drilling Process. Journal of Systems Science and Complexity. 37(5). 1789–1808.
4.
Yan, Fei, et al.. (2022). Framework for identifying and visualising emotional atmosphere in online learning environments in the COVID-19 Era. Applied Intelligence. 52(8). 9406–9422. 8 indexed citations
5.
Yan, Fei, Abdullah M. Iliyasu, & Kaoru Hirota. (2021). Emotion space modelling for social robots. Engineering Applications of Artificial Intelligence. 100. 104178–104178. 36 indexed citations
6.
Yan, Fei, Abdullah M. Iliyasu, & Kaoru Hirota. (2021). Conceptual Framework for Quantum Affective Computing and Its Use in Fusion of Multi-Robot Emotions. Electronics. 10(2). 100–100. 8 indexed citations
7.
Yan, Fei, et al.. (2020). Circuit-Based Modular Implementation of Quantum Ghost Imaging. IEEE Access. 8. 23054–23068. 6 indexed citations
8.
Fatichah, Chastine, et al.. (2014). Dental Numbering for Periapical Radiograph Based on Multiple Fuzzy Attribute Approach. Journal of Advanced Computational Intelligence and Intelligent Informatics. 18(3). 253–261. 4 indexed citations
9.
Dong, Fei, et al.. (2013). Communication atmosphere in humans and robots interaction based on the concept of fuzzy atmosfield generated by emotional states of humans and robots. Journal of Automation Mobile Robotics & Intelligent Systems. 8 indexed citations
10.
Yan, Fei, et al.. (2012). Quantum Image Searching Based on Probability Distributions. 2(3). 55–60. 22 indexed citations
11.
Hirota, Kaoru, et al.. (2011). Integrated Decision-Making System for Robot Soccer. Journal of Advanced Computational Intelligence and Intelligent Informatics. 15(2). 156–163. 18 indexed citations
12.
Ngo, Long Thanh, et al.. (2006). Designing Type-2 Fuzzy Behaviors of Autonomous Robot Using Interval Type-2 Fuzzy Logic System. 2006. 983–988. 2 indexed citations
13.
Hattori, Shunichi, et al.. (2006). Web Intelligence Approach for Human Robot Communication under TV Watching Environment. 2006. 426–429. 5 indexed citations
14.
Chen, Kewei, et al.. (2003). Automatic Parameter Tuning for Simulated Annealing based on Threading Technique and its Application to Traveling Salesman Problem. 한국지능시스템학회 국제학술대회 발표논문집. 439–442. 2 indexed citations
15.
Hatakeyama, Yutaka, Hajime Nobuhara, Kazuhiko Kawamoto, & Kaoru Hirota. (2003). Correction Vectors for Dynamic Color Images under Multiple Luminance Conditions. Tokyo Tech Research Repository (Tokyo Institute of Technology). 567–570. 4 indexed citations
16.
Kawamoto, Keiji, et al.. (2003). Efficient and User-Friendly Image Retrieval System Based on Query by Visual Keys. 한국지능시스템학회 국제학술대회 발표논문집. 451–454. 1 indexed citations
17.
Hirota, Kaoru, et al.. (1994). A real time fuzzy dynamic image understanding system on general roads. 106–111 vol.1. 4 indexed citations
18.
Ikoma, Norikazu, Kazuhiro Ozawa, Kaoru Hirota, & Witold Pedrycz. (1994). Fuzzy sequential circuit based on weight-added fuzzy flip-flop. 291–296 vol.1. 2 indexed citations
19.
Kóczy, László T. & Kaoru Hirota. (1992). A fast algorithm for fuzzy inference by compact rules. John Wiley & Sons, Inc. eBooks. 297–317. 4 indexed citations
20.
Hirota, Kaoru. (1988). Fuzzy theory and its application.. Journal of the Japan Society for Precision Engineering. 54(12). 2266–2269. 26 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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