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OpenAlex Citation Counts

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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:

Sensitivity analysis of fractal dimensions of crack maps on concrete and masonry walls
Amir Hossein Rezaie, Antoine J.P. Mauron, Katrin Beyer
Automation in Construction (2020) Vol. 117, pp. 103258-103258
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Comparison of crack segmentation using digital image correlation measurements and deep learning
Amir Hossein Rezaie, Radhakrishna Achanta, Michele Godio, et al.
Construction and Building Materials (2020) Vol. 261, pp. 120474-120474
Open Access | Times Cited: 88
A graph‐based method for quantifying crack patterns on reinforced concrete shear walls
Pedram Bazrafshan, Thinh On, Sina Basereh, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 4, pp. 498-517
Closed Access | Times Cited: 29
Data-driven strength-based seismic damage index measurement for RC columns using crack image-derived parameters
Mobinasadat Afzali, Mohammadjavad Hamidia, Mohammad Safi
Measurement (2023) Vol. 218, pp. 113155-113155
Closed Access | Times Cited: 26
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: 25
Post-earthquake damage assessment for RC columns using crack image complexity measures
Sara Jamshidian, Mohammadjavad Hamidia
Bulletin of Earthquake Engineering (2023) Vol. 21, Iss. 13, pp. 6029-6063
Closed Access | Times Cited: 24
Crack image-based FEMA P-58-compliant fragility models for automated earthquake-induced loss estimation in non-ductile RC moment frames
Parnia Zamani, Samira Azhari, Mohammadjavad Hamidia, et al.
Structures (2024) Vol. 60, pp. 105873-105873
Closed Access | Times Cited: 13
Data-driven crack image-based seismic failure mode identification for damaged RC columns
Samira Azhari, Mohammadjavad Hamidia
Engineering Failure Analysis (2024) Vol. 160, pp. 108160-108160
Closed Access | Times Cited: 8
Vision‐based probabilistic post‐earthquake loss estimation for reinforced concrete shear walls
Samira Azhari, Mohammadjavad Hamidia, Fatemeh Rouhani
Structural Concrete (2024) Vol. 25, Iss. 3, pp. 2020-2052
Closed Access | Times Cited: 8
Investigation on the flexural toughness evaluation method and surface cracks fractal characteristics of polypropylene fiber reinforced cement-based composites
Deqi Zhu, Aiping Tang, Congli Wan, et al.
Journal of Building Engineering (2021) Vol. 43, pp. 103045-103045
Closed Access | Times Cited: 47
TOPO-Loss for continuity-preserving crack detection using deep learning
Bryan German Pantoja-Rosero, Doruk Öner, Mateusz Koziński, et al.
Construction and Building Materials (2022) Vol. 344, pp. 128264-128264
Open Access | Times Cited: 36
Post‐earthquake stiffness loss estimation for reinforced concrete columns using fractal analysis of crack patterns
Mohammadjavad Hamidia, Mobinasadat Afzali, Sara Jamshidian, et al.
Structural Concrete (2023) Vol. 24, Iss. 3, pp. 3933-3951
Closed Access | Times Cited: 20
Cracks evolution and micro mechanism of compacted clay under wet-dry cycles and wet-dry-freeze-thaw cycles
Jinfeng Li, Huie Chen, Xiang Gao, et al.
Cold Regions Science and Technology (2023) Vol. 214, pp. 103944-103944
Closed Access | Times Cited: 19
Energy-based damage assessment of RC frames with non-seismic beam-column joint detailing using crack image processing techniques
Mostafa Kaboodkhani, Hamid Bayesteh, Mohammadjavad Hamidia
Engineering Failure Analysis (2023) Vol. 155, pp. 107723-107723
Closed Access | Times Cited: 18
Peak drift ratio estimation for RC moment frames using multifractal dimensions of surface crack patterns
Mohammadjavad Hamidia, Amirhossein Ganjizadeh, Kiarash M. Dolatshahi
Engineering Structures (2022) Vol. 255, pp. 113893-113893
Closed Access | Times Cited: 24
Post‐earthquake damage evaluation of non‐ductile RC moment frames using surface crack patterns
Mohammadjavad Hamidia, Amirhossein Ganjizadeh
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 10
Closed Access | Times Cited: 23
Machine learning-aided scenario-based seismic drift measurement for RC moment frames using visual features of surface damage
Mohammadjavad Hamidia, Sina Mansourdehghan, Amir Hossein Asjodi, et al.
Measurement (2022) Vol. 205, pp. 112195-112195
Closed Access | Times Cited: 23
Machine vision‐based automated earthquake‐induced drift ratio quantification for reinforced concrete columns
Mohammadjavad Hamidia, Sara Jamshidian, Mobinasadat Afzali, et al.
The Structural Design of Tall and Special Buildings (2023) Vol. 32, Iss. 18
Closed Access | Times Cited: 13
Probabilistic Postearthquake ASCE 41-17 Compliant Performance Level Identification for Shear-Dominated RC Shear Walls via Crack Image Analysis
Samira Azhari, Mohammadjavad Hamidia
Journal of Structural Engineering (2024) Vol. 151, Iss. 1
Closed Access | Times Cited: 5
Analysis of ignition and flame geometric characteristics of lubricating oil leaking from automotive engine onto hot surfaces
Lei Bai, Changchun Liu, L Wang
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0319934-e0319934
Open Access
Machine-learning for damage assessment of rubble stone masonry piers based on crack patterns
Amir Hossein Rezaie, Michele Godio, Radhakrishna Achanta, et al.
Automation in Construction (2022) Vol. 140, pp. 104313-104313
Open Access | Times Cited: 21
Computer vision-based automated stiffness loss estimation for seismically damaged non-ductile reinforced concrete moment frames
Mohammadjavad Hamidia, Amirhossein Ganjizadeh
Bulletin of Earthquake Engineering (2022) Vol. 20, Iss. 12, pp. 6635-6658
Closed Access | Times Cited: 19
Comparative study on damage process of concrete subjected to uniaxial tensile and compression loads based on CT test and improved differential box counting method
Zhang Le, Faning Dang, Ding Weihua, et al.
Construction and Building Materials (2021) Vol. 285, pp. 122693-122693
Closed Access | Times Cited: 24
Detection and classification of pavement damages using wavelet scattering transform, fractal dimension by box-counting method and machine learning algorithms
Lizette Tello-Cifuentes, Johannio Marulanda, Peter Thomson
Road Materials and Pavement Design (2023) Vol. 25, Iss. 3, pp. 566-584
Closed Access | Times Cited: 10
An Algorithm for Crack Detection, Segmentation, and Fractal Dimension Estimation in Low-Light Environments by Fusing FFT and Convolutional Neural Network
Jiajie Cheng, Qiunan Chen, Xiaocheng Huang
Fractal and Fractional (2023) Vol. 7, Iss. 11, pp. 820-820
Open Access | Times Cited: 9
Crop and Weed Segmentation and Fractal Dimension Estimation Using Small Training Data in Heterogeneous Data Environment
Rehan Akram, Jin Seong Hong, Seung Gu Kim, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 5, pp. 285-285
Open Access | Times Cited: 3
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