Mayuko Nishio

677 total citations
62 papers, 490 citations indexed

About

Mayuko Nishio is a scholar working on Civil and Structural Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Mayuko Nishio has authored 62 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Civil and Structural Engineering, 11 papers in Environmental Engineering and 10 papers in Computational Mechanics. Recurrent topics in Mayuko Nishio's work include Structural Health Monitoring Techniques (29 papers), Infrastructure Maintenance and Monitoring (20 papers) and Wind and Air Flow Studies (10 papers). Mayuko Nishio is often cited by papers focused on Structural Health Monitoring Techniques (29 papers), Infrastructure Maintenance and Monitoring (20 papers) and Wind and Air Flow Studies (10 papers). Mayuko Nishio collaborates with scholars based in Japan, Vietnam and Bangladesh. Mayuko Nishio's co-authors include Hiroshi Katsuchi, Hitoshi Yamada, Tadahito Mizutani, N. Takeda, Yozo Fujino, Tomonori Nagayama, Zhen Sun, Pang‐jo Chun, S. Kaguei and Nobuo Takeda and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Sensors and Chemical Engineering Science.

In The Last Decade

Mayuko Nishio

56 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayuko Nishio Japan 13 264 103 93 72 64 62 490
Jingzhou Xin China 16 466 1.8× 60 0.6× 94 1.0× 120 1.7× 68 1.1× 50 708
Jiawei Chen China 10 276 1.0× 93 0.9× 180 1.9× 82 1.1× 82 1.3× 22 509
Zidong Xu China 14 335 1.3× 144 1.4× 182 2.0× 63 0.9× 76 1.2× 46 591
Ning Zhao China 13 111 0.4× 113 1.1× 69 0.7× 126 1.8× 54 0.8× 63 486
Shuoyu Liu China 9 156 0.6× 51 0.5× 95 1.0× 44 0.6× 67 1.0× 17 360
Kang Zhou China 17 476 1.8× 40 0.4× 269 2.9× 73 1.0× 44 0.7× 46 698
Dongliang Huang China 14 230 0.9× 78 0.8× 33 0.4× 41 0.6× 38 0.6× 43 560
Yupeng Song China 11 129 0.5× 107 1.0× 137 1.5× 44 0.6× 80 1.3× 24 367
Dong Hyawn Kim South Korea 13 396 1.5× 129 1.3× 180 1.9× 93 1.3× 99 1.5× 60 679
Jiazeng Shan China 18 692 2.6× 36 0.3× 91 1.0× 120 1.7× 34 0.5× 55 840

Countries citing papers authored by Mayuko Nishio

Since Specialization
Citations

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

Fields of papers citing papers by Mayuko Nishio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayuko Nishio

This figure shows the co-authorship network connecting the top 25 collaborators of Mayuko Nishio. A scholar is included among the top collaborators of Mayuko Nishio 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 Mayuko Nishio. Mayuko Nishio 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.
Nishio, Mayuko, et al.. (2025). Optical Flow‐Based Structural Anomaly Detection in Seismic Events From Video Data Combined With Computational Cost Reduction Through Deep Learning. Structural Control and Health Monitoring. 2025(1). 1 indexed citations
2.
Nishio, Mayuko, et al.. (2024). Mainshock–aftershock seismic fragility assessment of civil structures: A state‐of‐the‐art review. 3(4). 548–573. 1 indexed citations
3.
Nishio, Mayuko, et al.. (2024). Anomaly detection in structural dynamic systems via nonlinearity occurrence analysis using video data. Mechanical Systems and Signal Processing. 216. 111506–111506. 1 indexed citations
4.
Nishio, Mayuko, et al.. (2024). Enhancing prediction of landslide dam stability through AI models: A comparative study with traditional approaches. Geomorphology. 454. 109120–109120. 11 indexed citations
5.
Rashid, Muhammad, et al.. (2023). CNN-based segmentation frameworks for structural component and earthquake damage determinations using UAV images. Earthquake Engineering and Engineering Vibration. 22(2). 359–369. 6 indexed citations
6.
Nishio, Mayuko, et al.. (2023). Transfer learning Gaussian process regression surrogate model with explainability for structural reliability analysis under variation in uncertainties. Computers & Structures. 281. 107014–107014. 26 indexed citations
7.
Nishio, Mayuko, et al.. (2023). TL-GPRSM: A python software for constructing transfer learning Gaussian process regression surrogate model with explainability. Software Impacts. 16. 100515–100515. 1 indexed citations
8.
Nagatani, Keiji, Masato Abé, Koichi Osuka, et al.. (2021). Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach. Advanced Robotics. 35(11). 715–722. 27 indexed citations
9.
Nagayama, Tomonori, et al.. (2020). BWIM FOR ORDINARY ROAD TRAFFIC ON A CONTINUOUS STEEL BOX GIRDER BRIDGE USING WIRELESS ACCELEROMETERS. Journal of Japan Society of Civil Engineers Ser A1 (Structural Engineering & Earthquake Engineering (SE/EE)). 76(2). 356–375. 3 indexed citations
10.
Suzuki, Tatsuya & Mayuko Nishio. (2019). APPLICATION OF DEEP LEARNING TO DAMAGE LEVEL DETERMINATION OF STRUCTURAL MEMBERS IN THE BRIDGE INSPECTION. Journal of Japan Society of Civil Engineers Ser F3 (Civil Engineering Informatics). 75(1). 48–59. 2 indexed citations
11.
Nishio, Mayuko, et al.. (2018). SPARSE SURROGATE MODELING FOR STRUCTURAL RELIABILITY ANALYSIS OF EXISTING BRIDGES. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 74(2). I_125–I_136. 2 indexed citations
12.
Nishio, Mayuko, et al.. (2017). Quality Evaluation of Fiber-Optic Strain Data Acquired in Long-Term Bridge Monitoring. Sensors and Materials. 141–141. 5 indexed citations
13.
Nishio, Mayuko. (2017). How to Make Numerical Models of Existing Structures─For Implementation of V&V─. Concrete Journal. 55(1). 106–110.
14.
Nishio, Mayuko, et al.. (2016). RELIABILITY ASSESSMENT OF AN EXISTING STEEL GIRDER BRIDGE USING POSTERIOR DISTRIBUTIONS OF MODEL PARAMETERS. Journal of Japan Society of Civil Engineers Ser A1 (Structural Engineering & Earthquake Engineering (SE/EE)). 72(3). 380–392. 4 indexed citations
15.
Nishio, Mayuko & Jun Hitomi. (2015). SEQUENTIAL ESTIMATION OF POSTERIOR DISTRIBUTIONS OF MODEL PARAMETERS OF BRIDGE BEARNG UNDER CORROSION PROCESS. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 71(2). I_99–I_108. 1 indexed citations
16.
Nishio, Mayuko & Yozo Fujino. (2013). Bayesian Inference Based Uncertainty Quantification and Calibration of Numerical Models of Existing Structures. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 69(2). I_711–I_718. 1 indexed citations
17.
Katsuchi, Hiroshi, et al.. (2013). Numerical simulation for effects of wind turbulence on flow field around rectangular cylinder. 605–615. 5 indexed citations
18.
Nishio, Mayuko, et al.. (2011). Uncertainty Quantification and Validation of Finite Element Models of Bridge Structures. Structural Health Monitoring.
19.
Nishio, Mayuko, Tadahito Mizutani, & Nobuo Takeda. (2008). Shape Reconstruction of Composite Structures Using High-Resolution Distributed Strain Data from Brillouin Scattering Based Optical Fiber Sensing System. JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES. 56(658). 522–529. 3 indexed citations
20.
Nishio, Mayuko, Hiroaki Tanaka, M. C. Natori, Naoko Kishimoto, & Yozo Fujino. (2007). Decentralized Approach of Cable Network Structures for Their Vibration Control. JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES. 55(644). 411–417. 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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