Hiroshi Naruse

864 total citations
51 papers, 667 citations indexed

About

Hiroshi Naruse is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hiroshi Naruse has authored 51 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 10 papers in Computer Networks and Communications and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hiroshi Naruse's work include Advanced Fiber Optic Sensors (29 papers), Photonic and Optical Devices (16 papers) and Optical measurement and interference techniques (7 papers). Hiroshi Naruse is often cited by papers focused on Advanced Fiber Optic Sensors (29 papers), Photonic and Optical Devices (16 papers) and Optical measurement and interference techniques (7 papers). Hiroshi Naruse collaborates with scholars based in Japan and United States. Hiroshi Naruse's co-authors include Mitsuhiro Tateda, Mitsuru Kihara, Kazuro Kageyama, Hideaki Murayama, Kiyoshi Uzawa, Yuki Nomura, Toshio Kurashima, Raúl Espinoza-Villar, Manuel Pinto and Junichi Masuda and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of the Acoustical Society of America and Journal of Lightwave Technology.

In The Last Decade

Hiroshi Naruse

44 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Naruse Japan 12 536 233 136 63 52 51 667
Antonio Quintela Incera Spain 9 843 1.6× 203 0.9× 267 2.0× 10 0.2× 46 0.9× 51 972
Jiangfeng Wu China 16 420 0.8× 162 0.7× 124 0.9× 7 0.1× 49 0.9× 64 712
António Barrias Spain 8 792 1.5× 564 2.4× 113 0.8× 20 0.3× 63 1.2× 15 991
Samuel Vurpillot Switzerland 13 439 0.8× 324 1.4× 27 0.2× 32 0.5× 30 0.6× 43 588
Milad Salemi United States 9 268 0.5× 85 0.4× 47 0.3× 8 0.1× 33 0.6× 16 390
Lorenzo Comolli Italy 12 136 0.3× 92 0.4× 28 0.2× 28 0.4× 81 1.6× 33 358
Agnese Coscetta Italy 13 348 0.6× 183 0.8× 107 0.8× 11 0.2× 25 0.5× 39 448
Tokio Kasai Japan 11 171 0.3× 147 0.6× 43 0.3× 20 0.3× 48 0.9× 41 357
Brooks A. Childers United States 11 232 0.4× 52 0.2× 47 0.3× 29 0.5× 17 0.3× 35 367
G.V. Persiano Italy 10 199 0.4× 28 0.1× 31 0.2× 9 0.1× 21 0.4× 31 285

Countries citing papers authored by Hiroshi Naruse

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Naruse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Naruse

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Naruse. A scholar is included among the top collaborators of Hiroshi Naruse 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 Hiroshi Naruse. Hiroshi Naruse 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.
Naruse, Hiroshi, et al.. (2024). Error Characteristics of Neural Network-Assisted Brillouin-Gain-Spectrum-Based Strain Measurements. Journal of Lightwave Technology. 43(7). 3282–3291.
2.
Naruse, Hiroshi, et al.. (2022). Strain measurement based on Brillouin gain spectrum under non-uniform strain using neural network. Th4.19–Th4.19. 1 indexed citations
3.
4.
Shimizu, Shogo, et al.. (2020). Denoising of Brillouin gain spectrum via dictionary learning considering strain variation. IEICE Technical Report; IEICE Tech. Rep.. 119(368). 29–34. 1 indexed citations
5.
Fujii, Takeo, et al.. (2020). On Placement of End Devices in LPWAN Based WSN for Environmental Monitoring Applications. 1519–1522. 1 indexed citations
6.
Umebayashi, Kenta, et al.. (2018). Spectrum sensing based on weighted diversity combining using time-averaged CAF. IEICE Communications Express. 8(2). 20–25.
7.
Naruse, Hiroshi, et al.. (2016). Drum sound onset detection based on class separation using deep neural network. The Journal of the Acoustical Society of America. 140(4_Supplement). 3428–3428.
8.
Naruse, Hiroshi, et al.. (2003). Damage Detection for International America's Cup Class Yachts Using a Fiber Optic Distributed Strain Sensor. IEICE Transactions on Electronics. 86(2). 218–223. 2 indexed citations
9.
Naruse, Hiroshi, et al.. (2003). Deformation of the Brillouin Gain Spectrum Caused by Parabolic Strain Distribution and Resulting Measurement Error in BOTDR Strain Measurement System. IEICE Transactions on Electronics. 86(10). 2111–2121. 10 indexed citations
10.
Murayama, Hideaki, et al.. (2003). Application of Fiber-Optic Distributed Sensors to Health Monitoring for Full-Scale Composite Structures. Journal of Intelligent Material Systems and Structures. 14(1). 3–13. 70 indexed citations
11.
Naruse, Hiroshi, et al.. (2002). Application of Brillouin Scattering-Based Distributed Optical Fiber Strain Sensor to Actual Concrete Piles. IEICE Transactions on Electronics. 85(4). 945–951. 26 indexed citations
12.
Murayama, Hideaki, et al.. (2002). Structural Health Monitoring by Using Fiber-Optic Sensors for Large Composite Structures.. Journal of the Japan Society for Composite Materials. 28(5). 176–188. 1 indexed citations
13.
Naruse, Hiroshi, et al.. (2002). Dependence of the Brillouin gain spectrum on linear strain distribution for optical time-domain reflectometer-type strain sensors. Applied Optics. 41(34). 7212–7212. 35 indexed citations
14.
Naruse, Hiroshi, et al.. (2001). Industrial Applications of the BOTDR Optical Fiber Strain Sensor. Optical Fiber Technology. 7(1). 45–64. 174 indexed citations
15.
Naruse, Hiroshi, et al.. (2000). River Levee Change Detection Using Distributed Fiber Optic Strain Sensor. IEICE Transactions on Electronics. 83(3). 462–467. 23 indexed citations
16.
Naruse, Hiroshi, et al.. (2000). Concrete Pipe Strain Measurement Using Optical Fiber Sensor. IEICE Transactions on Electronics. 83(3). 468–474. 28 indexed citations
17.
Naruse, Hiroshi, et al.. (2000). Development of integrated damage detection system for international America's Cup class yacht structures using a fiber optic distributed sensor. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3986. 324–324. 9 indexed citations
18.
Naruse, Hiroshi & Mitsuhiro Tateda. (1999). Trade-off between the spatial and the frequency resolutions in measuring the power spectrum of the Brillouin backscattered light in an optical fiber. Applied Optics. 38(31). 6516–6516. 56 indexed citations
19.
Naruse, Hiroshi. (1999). River levee strain measurement using fiber optic distributed strain sensor. 65–65. 5 indexed citations
20.
Naruse, Hiroshi, et al.. (1987). New correction method for intensity distribution of reflected ray.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C. 53(495). 2414–2420. 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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