Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Probabilistic estimation of flexural loading capacity of existing RC structures based on observational corrosion-induced crack width distribution using machine learning
Mingyang Zhang, Mitsuyoshi Akiyama, Mina Shintani, et al.
Structural Safety (2021) Vol. 91, pp. 102098-102098
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
Shanaka Kristombu Baduge, P.S.M. Thilakarathna, Jude Shalitha Perera, et al.
Automation in Construction (2022) Vol. 141, pp. 104440-104440
Open Access | Times Cited: 530
Computational experiments of metal corrosion studies: A review
Shuhao Li, Chunqing Li, Feng Wang
Materials Today Chemistry (2024) Vol. 37, pp. 101986-101986
Open Access | Times Cited: 23
Probabilistic service life assessment of corroded concrete structures: a state-of-the-art review
Mitsuyoshi Akiyama, Dan M. Frangopol, Zhejun Xu
Structure and Infrastructure Engineering (2025), pp. 1-20
Closed Access | Times Cited: 1
Beyond the chloride threshold concept for predicting corrosion of steel in concrete
Ueli Angst, O. Burkan Isgor, C.M. Hansson, et al.
Applied Physics Reviews (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 38
Application of Artificial Intelligence in Marine Corrosion Prediction and Detection
Md Mahadi Hasan Imran, Shahrizan Jamaludin, Ahmad Faisal Mohamad Ayob, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 2, pp. 256-256
Open Access | Times Cited: 38
Vision-oriented machine learning-assisted seismic energy dissipation estimation for damaged RC beam-column connections
Mohammadjavad Hamidia, Mostafa Kaboodkhani, Hamid Bayesteh
Engineering Structures (2023) Vol. 301, pp. 117345-117345
Closed Access | Times Cited: 23
Multi-objective optimisation of in-service asphalt pavement maintenance schedule considering system reliability estimated via LSTM neural networks
Jiyu Xin, Mitsuyoshi Akiyama, Dan M. Frangopol, et al.
Structure and Infrastructure Engineering (2022) Vol. 18, Iss. 7, pp. 1002-1019
Closed Access | Times Cited: 29
Current and future role of data fusion and machine learning in infrastructure health monitoring
Hao Wang, Giorgio Barone, Alister Smith
Structure and Infrastructure Engineering (2023) Vol. 20, Iss. 12, pp. 1853-1882
Open Access | Times Cited: 21
Bayesian inference of the spatial distribution of steel corrosion in reinforced concrete structures using corrosion-induced crack width
Siyi Jia, Mitsuyoshi Akiyama, Dan M. Frangopol, et al.
Structural Safety (2024) Vol. 111, pp. 102518-102518
Open Access | Times Cited: 6
Investigation of corrosion-induced cracks using corrosion products quantified by an X-ray technique and FE analysis of single- and multiple-rebar beams
Zhejun Xu, Mitsuyoshi Akiyama, Sopokhem Lim, et al.
Cement and Concrete Composites (2024) Vol. 151, pp. 105565-105565
Open Access | Times Cited: 5
Life-cycle performance prediction and interpretation for coastal and marine RC structures: An ensemble learning framework
Hongyuan Guo, You Dong, Emilio Bastidas‐Arteaga, et al.
Structural Safety (2024) Vol. 110, pp. 102496-102496
Open Access | Times Cited: 5
Effect of the interaction of corrosion pits among multiple tensile rebars on the reliability of RC structures: Experimental and numerical investigation
Supasit Srivaranun, Mitsuyoshi Akiyama, Paolo Bocchini, et al.
Structural Safety (2021) Vol. 93, pp. 102115-102115
Open Access | Times Cited: 38
A novel combined experimental-machine learning approach to estimate the probabilistic capacity of RC beams with spatially correlated rebar corrosion in transverse and longitudinal directions
Supasit Srivaranun, Mitsuyoshi Akiyama, Taiki Yamada, et al.
Engineering Structures (2023) Vol. 279, pp. 115588-115588
Closed Access | Times Cited: 15
Towards Automated Inspections of Tunnels: A Review of Optical Inspections and Autonomous Assessment of Concrete Tunnel Linings
Andreas Sjölander, Valeria Belloni, Anders Ansell, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3189-3189
Open Access | Times Cited: 13
Estimating RC Corrosion Distribution from Surface Cracks Using Mesoscale Analysis Integrated with Machine Learning
Tianyu Shao, Jie Luo, Kohei Nagai
Cement and Concrete Composites (2025), pp. 105950-105950
Closed Access
Effect of image quality associated with corrosion-induced cracks on machine learning-based load-bearing capacity assessment of RC beams
Taiki Yamada, Mitsuyoshi Akiyama, Zhejun Xu, et al.
Structure and Infrastructure Engineering (2025), pp. 1-23
Closed Access
Prediction of ultimate strength for high strength concrete (HSC) using machine learning approaches - optimized by PSO technique
P. Ruba, S. Aarthi, P. Bhuvaneshwari
Deleted Journal (2025) Vol. 28, Iss. 1
Open Access
Random field-based reliability updating framework for existing RC structures incorporating the effect of spatial steel corrosion distribution
Supasit Srivaranun, Mitsuyoshi Akiyama, Keisuke Masuda, et al.
Structure and Infrastructure Engineering (2021) Vol. 18, Iss. 7, pp. 967-982
Closed Access | Times Cited: 28
Analysis of an empirical seismic fragility prediction model of wooden roof truss buildings
Si-Qi Li
Case Studies in Construction Materials (2022) Vol. 17, pp. e01420-e01420
Closed Access | Times Cited: 21
Study on corrosion-induced cracks for the concrete with transverse cracks using an improved CDM-XFEM
Hao Jin, Shuo Yu
Construction and Building Materials (2021) Vol. 318, pp. 126173-126173
Closed Access | Times Cited: 23
Phase field modeling of concrete cracking for non-uniform corrosion of rebar
Xurui Fang, Zichao Pan, Airong Chen
Theoretical and Applied Fracture Mechanics (2022) Vol. 121, pp. 103517-103517
Closed Access | Times Cited: 18
Sustainability-informed management optimization of asphalt pavement considering risk evaluated by multiple performance indicators using deep neural networks
Jiyu Xin, Mitsuyoshi Akiyama, Dan M. Frangopol
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109448-109448
Closed Access | Times Cited: 10
Computer Vision and Image Processing Approaches for Corrosion Detection
Ahmad Ali Imran Mohd Ali, Shahrizan Jamaludin, Md Mahadi Hasan Imran, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 10, pp. 1954-1954
Open Access | Times Cited: 10
Autonomous detection of steel corrosion spatial variability in reinforced concrete using X-ray technology and deep learning-based semantic segmentation
Jiyu Xin, Mitsuyoshi Akiyama, Dan M. Frangopol
Automation in Construction (2023) Vol. 158, pp. 105252-105252
Closed Access | Times Cited: 9
Effects of spatial corrosion distribution and prestressing levels on the structural performance of deteriorated PC beams
Taotao Wu, Mitsuyoshi Akiyama, Sopokhem Lim, et al.
Construction and Building Materials (2024) Vol. 421, pp. 135650-135650
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top