Yasutaka Narazaki

2.4k total citations · 1 hit paper
42 papers, 1.6k citations indexed

About

Yasutaka Narazaki is a scholar working on Civil and Structural Engineering, Geology and Environmental Engineering. According to data from OpenAlex, Yasutaka Narazaki has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Civil and Structural Engineering, 19 papers in Geology and 8 papers in Environmental Engineering. Recurrent topics in Yasutaka Narazaki's work include Infrastructure Maintenance and Monitoring (33 papers), Structural Health Monitoring Techniques (22 papers) and 3D Surveying and Cultural Heritage (19 papers). Yasutaka Narazaki is often cited by papers focused on Infrastructure Maintenance and Monitoring (33 papers), Structural Health Monitoring Techniques (22 papers) and 3D Surveying and Cultural Heritage (19 papers). Yasutaka Narazaki collaborates with scholars based in United States, China and South Korea. Yasutaka Narazaki's co-authors include Billie F. Spencer, Vedhus Hoskere, Tu A. Hoang, Yozo Fujino, Matthew D. Smith, Fernando Gómez, Kôji Yoshida, Akito Sakurai, Girish Chowdhary and Hyunjun Kim and has published in prestigious journals such as Sensors, Mechanical Systems and Signal Processing and Automation in Construction.

In The Last Decade

Yasutaka Narazaki

39 papers receiving 1.6k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

2019 788 citations Billie F. Spencer, Vedhus Hoskere et al. Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yasutaka Narazaki United States	17	1.3k	480	246	233	187	42	1.6k
Vedhus Hoskere United States	16	1.3k 1.0×	503 1.0×	328 1.3×	217 0.9×	185 1.0×	33	1.6k
Yichang Tsai United States	23	1.6k 1.3×	269 0.6×	362 1.5×	272 1.2×	346 1.9×	139	2.1k
Chul Min Yeum United States	15	736 0.6×	219 0.5×	118 0.5×	202 0.9×	77 0.4×	37	1.0k
Sattar Dorafshan United States	17	1.4k 1.1×	257 0.5×	72 0.3×	415 1.8×	86 0.5×	47	1.7k
Xiaohu Lu China	15	727 0.6×	217 0.5×	457 1.9×	235 1.0×	281 1.5×	38	1.4k
Fernando Moreu United States	18	787 0.6×	269 0.6×	214 0.9×	199 0.9×	67 0.4×	89	1.1k
Chuan‐Zhi Dong United States	20	1.4k 1.1×	260 0.5×	590 2.4×	217 0.9×	50 0.3×	35	1.7k
Allen Zhang China	22	2.5k 2.0×	172 0.4×	166 0.7×	624 2.7×	106 0.6×	62	2.8k
Junwon Seo United States	18	967 0.8×	269 0.6×	86 0.3×	154 0.7×	157 0.8×	84	1.3k

Countries citing papers authored by Yasutaka Narazaki

Since Specialization

Citations

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

Fields of papers citing papers by Yasutaka Narazaki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasutaka Narazaki

This figure shows the co-authorship network connecting the top 25 collaborators of Yasutaka Narazaki. A scholar is included among the top collaborators of Yasutaka Narazaki 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 Yasutaka Narazaki. Yasutaka Narazaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Narazaki, Yasutaka, et al.. (2025). Wind profile nowcasting and forecasting using machine learning. Journal of Wind Engineering and Industrial Aerodynamics. 266. 106162–106162. 1 indexed citations

Nazar, Ali Matin, Yasutaka Narazaki, & Pengcheng Jiao. (2025). Magnetic hexagonal structures based on triboelectric and piezoelectric nanogenerators. Sustainable Energy Technologies and Assessments. 81. 104438–104438.

Wang, Jingjing, et al.. (2024). Development and validation of graphics‐based digital twin framework for UAV‐aided post‐earthquake inspection of high‐rise buildings. The Structural Design of Tall and Special Buildings. 33(13). 2 indexed citations

Li, Binbin, et al.. (2024). Point cloud-based automatic finite element modeling utilizing UAV. 110–110. 1 indexed citations

Narazaki, Yasutaka, et al.. (2024). Automated damage detection for open-air and underwater navigation infrastructure using generative AI-produced training data for deep learning models. Structural Health Monitoring. 24(4). 2177–2192. 1 indexed citations

Ribeiro, Diogo, Vedhus Hoskere, Yasutaka Narazaki, et al.. (2024). Technologies and Platforms for Remote and Autonomous Bridge Inspection – Review. Structural Engineering International. 35(3). 354–376. 7 indexed citations

Wang, Xuguang, Cristoforo Demartino, Yasutaka Narazaki, Giorgio Monti, & Billie F. Spencer. (2023). Rapid seismic risk assessment of bridges using UAV aerial photogrammetry. Engineering Structures. 279. 115589–115589. 27 indexed citations

Narazaki, Yasutaka, et al.. (2023). Unsupervised Domain Adaptation Approach for Vision-Based Semantic Understanding of Bridge Inspection Scenes without Manual Annotations. Journal of Bridge Engineering. 29(2). 10 indexed citations

Levine, N., Yasutaka Narazaki, & Billie F. Spencer. (2023). Development of a building information model-guided post-earthquake building inspection framework using 3D synthetic environments. Earthquake Engineering and Engineering Vibration. 22(2). 279–307. 16 indexed citations

10.

Huo, Linsheng, et al.. (2022). Percussion-based quasi real-time void detection for concrete-filled steel tubular structures using dense learned features. Engineering Structures. 274. 115197–115197. 33 indexed citations

11.

Zhai, Guanghao, et al.. (2022). A graphics-based digital twin framework for computer vision-based post-earthquake structural inspection and evaluation using unmanned aerial vehicles. 1(1). 100003–100003. 29 indexed citations

12.

Chen, Jianye, et al.. (2022). Framework for long-term structural health monitoring by computer vision and vibration-based model updating. Case Studies in Construction Materials. 16. e01020–e01020. 12 indexed citations

13.

Hoskere, Vedhus, et al.. (2022). Fusion of thermal and RGB images for automated deep learning based crack detection in civil infrastructure. 1(1). 24 indexed citations

14.

Hoskere, Vedhus, Yasutaka Narazaki, & Billie F. Spencer. (2022). Physics-Based Graphics Models in 3D Synthetic Environments as Autonomous Vision-Based Inspection Testbeds. Sensors. 22(2). 532–532. 46 indexed citations

15.

Hoskere, Vedhus, et al.. (2021). InstaDam: Open-Source Platform for Rapid Semantic Segmentation of Structural Damage. Applied Sciences. 11(2). 520–520. 11 indexed citations

16.

Narazaki, Yasutaka, et al.. (2021). Development and Validation of a Post-Earthquake Safety Assessment System for High-Rise Buildings Using Acceleration Measurements. Mathematics. 9(15). 1758–1758. 9 indexed citations

17.

Hoskere, Vedhus, Yasutaka Narazaki, Tu A. Hoang, & Billie F. Spencer. (2020). MaDnet: multi-task semantic segmentation of multiple types of structural materials and damage in images of civil infrastructure. Journal of Civil Structural Health Monitoring. 10(5). 757–773. 92 indexed citations

18.

Narazaki, Yasutaka, et al.. (2019). Vision-based dense displacement and strain estimation of miter gates with the performance evaluation using physics-based graphics models. Smart Structures and Systems. 24(6). 709–721. 22 indexed citations

19.

Spencer, Billie F., Vedhus Hoskere, & Yasutaka Narazaki. (2019). Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring. Engineering. 5(2). 199–222. 788 indexed citations breakdown →

20.

Hoskere, Vedhus, Yasutaka Narazaki, Billie F. Spencer, & Matthew D. Smith. (2019). Deep Learning-based Damage Detection of Miter Gates Using Synthetic Imagery from Computer Graphics. 16 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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