Kaoru Hirota

1.3k total citations
76 papers, 827 citations indexed

About

Kaoru Hirota is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Kaoru Hirota has authored 76 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 30 papers in Computer Vision and Pattern Recognition and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Kaoru Hirota's work include Emotion and Mood Recognition (10 papers), Face and Expression Recognition (9 papers) and Image Retrieval and Classification Techniques (6 papers). Kaoru Hirota is often cited by papers focused on Emotion and Mood Recognition (10 papers), Face and Expression Recognition (9 papers) and Image Retrieval and Classification Techniques (6 papers). Kaoru Hirota collaborates with scholars based in Japan, China and Egypt. Kaoru Hirota's co-authors include Hajime Nobuhara, Yaping Dai, Fei Yan, Yasufumi Takama, Chang Liu, Witold Pedrycz, Barnabás Bede, Fangyan Dong, Zhiyang Jia and Abdullah M. Iliyasu and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Kaoru Hirota

66 papers receiving 773 citations

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 16 328 272 142 79 77 76 827
Kamlesh Mistry United Kingdom 10 309 0.9× 304 1.1× 158 1.1× 37 0.5× 52 0.7× 27 733
Guanzheng Tan China 15 309 0.9× 344 1.3× 144 1.0× 177 2.2× 38 0.5× 87 952
Juan José Pantrigo Spain 17 577 1.8× 241 0.9× 38 0.3× 105 1.3× 95 1.2× 52 1.0k
Ronggui Wang China 16 246 0.8× 352 1.3× 58 0.4× 32 0.4× 154 2.0× 59 699
Luping Ji China 18 453 1.4× 332 1.2× 54 0.4× 42 0.5× 24 0.3× 57 938
S. Srinivas Kumar India 16 623 1.9× 149 0.5× 51 0.4× 37 0.5× 38 0.5× 77 919
Ilya Makarov Russia 15 377 1.1× 270 1.0× 104 0.7× 105 1.3× 15 0.2× 99 802
Cheong Hee Park South Korea 18 260 0.8× 392 1.4× 28 0.2× 69 0.9× 47 0.6× 63 876
Pratyusha Rakshit India 13 163 0.5× 435 1.6× 28 0.2× 115 1.5× 216 2.8× 69 754
Yangdong Deng China 20 240 0.7× 143 0.5× 41 0.3× 71 0.9× 51 0.7× 93 1.2k

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.
Liu, Xingwang, et al.. (2025). PAFusion: A general image fusion network with adversarial representation learning. Knowledge-Based Systems. 324. 113815–113815. 1 indexed citations
2.
Pedrycz, Witold, et al.. (2025). A multiview-slice feature fusion network for early diagnosis of Alzheimer’s disease with structural MRI images. Information Fusion. 119. 103010–103010. 4 indexed citations
3.
Hirota, Kaoru, et al.. (2025). Dynamic Multi-Population Mutation Architecture-Based Equilibrium Optimizer and Its Engineering Application. Applied Sciences. 15(4). 1795–1795. 1 indexed citations
4.
Chen, Luefeng, Jiazhuo Li, Min Li, et al.. (2025). Skeleton-Based Action Recognition Using Multibranch Adaptive Graph Convolutional Network With Pose Refinement. IEEE Transactions on Computational Social Systems. 12(6). 4689–4699.
5.
Iliyasu, Abdullah M., Mohammad Sh. Daoud, Ahmed S. Salama, John William Grimaldo Guerrero, & Kaoru Hirota. (2025). Towards an intelligent integrated methodology for accurate determination of volume percentages in three-phase flow systems. Scientific Reports. 15(1). 8407–8407.
6.
Chen, Luefeng, et al.. (2024). Lithology identification of coal-bearing strata based on data-driven dual-channel relevance networks in coal mine roadway drilling process. Information Sciences. 690. 121339–121339. 9 indexed citations
7.
Yan, Fei, et al.. (2024). Review of medical image processing using quantum-enabled algorithms. Artificial Intelligence Review. 57(11). 18 indexed citations
8.
Yan, Fei, et al.. (2023). Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms. Expert Systems with Applications. 227. 120282–120282. 46 indexed citations
9.
Li, Min, Luefeng Chen, Min Wu, & Kaoru Hirota. (2023). A broad-deep fusion network-based fuzzy emotional intention inference model for teaching validity evaluation. Information Sciences. 654. 119837–119837. 1 indexed citations
10.
11.
Dong, Fangyan, et al.. (2015). Fuzzy Set Representation of Kansei Texture and its Visualization for Online Shopping. Journal of Advanced Computational Intelligence and Intelligent Informatics. 19(2). 284–292. 3 indexed citations
12.
Kormushev, Petar, et al.. (2009). Time manipulation technique for speeding up reinforcement learning in simulations. ArXiv.org. 2 indexed citations
13.
Arai, Yoshinori, et al.. (2008). A Speaker Identification Method based on Trapezoid Fuzzy Similarity. IEICE Technical Report; IEICE Tech. Rep.. 107(548). 7–10. 1 indexed citations
14.
Yamazaki, Yoichi, et al.. (2008). Fuzzy Inference based Mentality Expression for Eye Robot in Affinity Pleasure-Arousal Space. Journal of Advanced Computational Intelligence and Intelligent Informatics. 12(3). 304–313. 19 indexed citations
15.
Hirota, Kaoru, et al.. (2008). Algorithm for Web Service Discovery Based on Information Retrieval Using WordNet and Linear Discriminant Functions. Journal of Advanced Computational Intelligence and Intelligent Informatics. 12(2). 182–189. 5 indexed citations
16.
Ngo, Long Thanh, et al.. (2006). Extending Fuzzy Directional Relationship and Applying for Mobile Robot Collision Avoidance Behavior. Journal of Advanced Computational Intelligence and Intelligent Informatics. 10(4). 444–450. 4 indexed citations
17.
Nobuhara, Hajime, et al.. (2006). Fuzzy Configuration Space for Moving Obstacle Avoidance of Autonomous Mobile Robots. Journal of Advanced Computational Intelligence and Intelligent Informatics. 10(1). 26–34. 1 indexed citations
18.
Hatakeyama, Yutaka, et al.. (2006). Designing Image Retrieval System with the Concept of Visual Keys. Journal of Advanced Computational Intelligence and Intelligent Informatics. 10(2). 136–144. 1 indexed citations
19.
Nobuhara, Hajime, et al.. (2004). Hierarchical Concept Structures Based Data Retrieval/Mining by Fuzzy Document Ordering System. Journal of Advanced Computational Intelligence and Intelligent Informatics. 8(6). 633–638.
20.
Phương, Nguyễn Hoàng, et al.. (2003). Fuzzy Modeling for Modifying Standard Prescriptions of Oriental Traditional Medicine. Journal of Advanced Computational Intelligence and Intelligent Informatics. 7(3). 339–347. 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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