Daichi Wada

590 total citations
33 papers, 432 citations indexed

About

Daichi Wada is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Civil and Structural Engineering. According to data from OpenAlex, Daichi Wada has authored 33 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 8 papers in Aerospace Engineering and 7 papers in Civil and Structural Engineering. Recurrent topics in Daichi Wada's work include Advanced Fiber Optic Sensors (25 papers), Photonic and Optical Devices (17 papers) and Aerospace and Aviation Technology (7 papers). Daichi Wada is often cited by papers focused on Advanced Fiber Optic Sensors (25 papers), Photonic and Optical Devices (17 papers) and Aerospace and Aviation Technology (7 papers). Daichi Wada collaborates with scholars based in Japan, United Kingdom and United States. Daichi Wada's co-authors include Hideaki Murayama, Hirotaka Igawa, Tokio Kasai, Kazuro Kageyama, Shane P. Windsor, Isamu Ohsawa, Kiyoshi Uzawa, Toshiya Nakamura, Junichi Sugiyama and Magnus Burman and has published in prestigious journals such as Optics Express, Sensors and Sensors and Actuators B Chemical.

In The Last Decade

Daichi Wada

33 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daichi Wada Japan 13 290 128 78 61 58 33 432
Minfu Liang China 11 245 0.8× 81 0.6× 52 0.7× 53 0.9× 93 1.6× 31 414
Kunpeng Feng China 15 315 1.1× 48 0.4× 114 1.5× 64 1.0× 75 1.3× 53 509
Qinghua Wang China 11 220 0.8× 48 0.4× 13 0.2× 55 0.9× 44 0.8× 56 362
Véronique Moeyaert Belgium 12 468 1.6× 92 0.7× 92 1.2× 27 0.4× 17 0.3× 66 574
Massimo L. Filograno Spain 9 466 1.6× 93 0.7× 168 2.2× 51 0.8× 30 0.5× 20 566
C. H. J. Fox United Kingdom 11 216 0.7× 164 1.3× 167 2.1× 167 2.7× 226 3.9× 24 543
Hongchao Wu China 10 234 0.8× 31 0.2× 46 0.6× 42 0.7× 37 0.6× 41 376
Chiara Grappasonni Italy 8 49 0.2× 217 1.7× 20 0.3× 28 0.5× 34 0.6× 19 278
Fabrice Auzanneau France 14 408 1.4× 75 0.6× 43 0.6× 18 0.3× 26 0.4× 41 527
Sebastian Yuri Cavalcanti Catunda Brazil 9 180 0.6× 31 0.2× 8 0.1× 118 1.9× 87 1.5× 88 357

Countries citing papers authored by Daichi Wada

Since Specialization
Citations

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

Fields of papers citing papers by Daichi Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daichi Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Daichi Wada. A scholar is included among the top collaborators of Daichi Wada 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 Daichi Wada. Daichi Wada 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.
Fujii, Go, et al.. (2023). Anomaly detection method for spacecraft propulsion system using frequency response functions of multiplexed FBG data. Acta Astronautica. 212. 235–245. 1 indexed citations
2.
Wada, Daichi, et al.. (2023). Simultaneous Measurement of Strain and Temperature Distributions Using Optical Fibers with Different GeO2 and B2O3 Doping. Sensors. 23(3). 1156–1156. 5 indexed citations
3.
4.
Burman, Magnus, et al.. (2022). Shape sensing for CFRP and aluminum honeycomb sandwich panel using inverse finite element method with distributed fiber-optic sensors. Composite Structures. 308. 116648–116648. 14 indexed citations
5.
6.
Wada, Daichi, et al.. (2020). Smart wing load alleviation through optical fiber sensing, load identification, and deep reinforcement learning. Engineering Research Express. 2(4). 45004–45004. 3 indexed citations
7.
Wada, Daichi, et al.. (2019). Wing Load and Angle of Attack Identification by Integrating Optical Fiber Sensing and Neural Network Approach in Wind Tunnel Test. Applied Sciences. 9(7). 1461–1461. 8 indexed citations
8.
Wada, Daichi, et al.. (2018). Flight demonstration of aircraft wing monitoring using optical fiber distributed sensing system. Smart Materials and Structures. 28(5). 55007–55007. 30 indexed citations
9.
Wada, Daichi, et al.. (2018). Flight demonstration of aircraft fuselage and bulkhead monitoring using optical fiber distributed sensing system. Smart Materials and Structures. 27(2). 25014–25014. 31 indexed citations
10.
Wada, Daichi, et al.. (2018). Fiber-optic simultaneous distributed monitoring of strain and temperature for an aircraft wing during flight. Applied Optics. 57(36). 10458–10458. 7 indexed citations
11.
12.
Murayama, Hideaki, et al.. (2017). Self-Evaluation of PANDA-FBG Based Sensing System for Dynamic Distributed Strain and Temperature Measurement. Sensors. 17(10). 2319–2319. 7 indexed citations
13.
Wada, Daichi, Hirotaka Igawa, & Tokio Kasai. (2016). Vibration monitoring of a helicopter blade model using the optical fiber distributed strain sensing technique. Applied Optics. 55(25). 6953–6953. 36 indexed citations
14.
Wada, Daichi, et al.. (2015). An optical fiber sensing technique for temperature distribution measurements in microwave heating. Measurement Science and Technology. 26(8). 85105–85105. 9 indexed citations
15.
Murayama, Hideaki, et al.. (2014). Dynamic strain distribution measurement and crack detection of an adhesive-bonded single-lap joint under cyclic loading using embedded FBG. Smart Materials and Structures. 23(10). 105011–105011. 27 indexed citations
16.
Murayama, Hideaki, Daichi Wada, & Hirotaka Igawa. (2013). Structural health monitoring by using fiber-optic distributed strain sensors with high spatial resolution. Photonic Sensors. 3(4). 355–376. 68 indexed citations
17.
Wada, Daichi, et al.. (2012). Lateral Load Measurements Based on a Distributed Sensing System of Optical Frequency-Domain Reflectometry Using Long-Length Fiber Bragg Gratings. Journal of Lightwave Technology. 30(14). 2337–2344. 17 indexed citations
18.
Wada, Daichi, Hideaki Murayama, & Hirotaka Igawa. (2012). Distributed monitoring of fiber Bragg gratings under local lateral loads using optical frequency domain reflectometry. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8421. 84213X–84213X. 1 indexed citations
19.
Wada, Daichi, et al.. (2009). Strain and Temperature Multiplexed Measurement Sensor Utilizing Polarization Maintaining Fiber. IEICE Technical Report; IEICE Tech. Rep.. 109(175). 117–122. 3 indexed citations
20.
Terada, Yoshihiro, et al.. (2009). Simultaneous measurement of strain and temperature by means of polarization division multiplexing optical frequency domain reflectometry. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7503. 75036C–75036C. 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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