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:

Vision-based concrete crack detection using a hybrid framework considering noise effect
Yang Yu, Bijan Samali, Maria Rashidi, et al.
Journal of Building Engineering (2022) Vol. 61, pp. 105246-105246
Closed Access | Times Cited: 122

Showing 1-25 of 122 citing articles:

Classifying Cardiac Arrhythmia from ECG Signal Using 1D CNN Deep Learning Model
Adel Ali Ahmed, Waleed Ali, Talal A. A. Abdullah, et al.
Mathematics (2023) Vol. 11, Iss. 3, pp. 562-562
Open Access | Times Cited: 74

MOD-YOLO: Rethinking the YOLO architecture at the level of feature information and applying it to crack detection
Peng Su, Huizi Han, Mei Liu, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121346-121346
Closed Access | Times Cited: 53

Computer-Aided Detection and Classification of Monkeypox and Chickenpox Lesion in Human Subjects Using Deep Learning Framework
Dilber Uzun Ozsahin, Mubarak Taiwo Mustapha, Berna Uzun, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 292-292
Open Access | Times Cited: 48

Automated ultrasonic-based diagnosis of concrete compressive damage amidst temperature variations utilizing deep learning
Lei Wang, Shanchang Yi, Yang Yu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 221, pp. 111719-111719
Open Access | Times Cited: 33

Evaluation and optimisation of pre-trained CNN models for asphalt pavement crack detection and classification
Sandra Matarneh, Faris Elghaish, Farzad Pour Rahimian, et al.
Automation in Construction (2024) Vol. 160, pp. 105297-105297
Open Access | Times Cited: 25

Design of Efficient Methods for the Detection of Tomato Leaf Disease Utilizing Proposed Ensemble CNN Model
Hasan Ulutaş, Veysel Aslantaş
Electronics (2023) Vol. 12, Iss. 4, pp. 827-827
Open Access | Times Cited: 40

Deep learning for crack detection on masonry façades using limited data and transfer learning
Stamos Katsigiannis, Saleh Seyedzadeh, Andrew Agapiou, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 107105-107105
Open Access | Times Cited: 34

Revolutionizing concrete analysis: An in-depth survey of AI-powered insights with image-centric approaches on comprehensive quality control, advanced crack detection and concrete property exploration
Kaustav Sarkar, Amit Shiuly, Krishna Gopal Dhal
Construction and Building Materials (2023) Vol. 411, pp. 134212-134212
Closed Access | Times Cited: 34

Acoustic Emission and Artificial Intelligence Procedure for Crack Source Localization
Jonathan Melchiorre, A. Manuello, Marco Martino Rosso, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 693-693
Open Access | Times Cited: 32

ssFPN: Scale Sequence (S2) Feature-Based Feature Pyramid Network for Object Detection
Hye-Jin Park, Jiwoo Kang, Byung‐Gyu Kim
Sensors (2023) Vol. 23, Iss. 9, pp. 4432-4432
Open Access | Times Cited: 28

Transform and Deep Learning Algorithms for the Early Detection and Recognition of Tomato Leaf Disease
Mohammed S. Al-zahrani, Fawaz Waselallah Alsaade
Agronomy (2023) Vol. 13, Iss. 5, pp. 1184-1184
Open Access | Times Cited: 27

A deep segmentation network for crack detection with progressive and hierarchical context fusion
Lei Yang, Hanyun Huang, Shuyi Kong, et al.
Journal of Building Engineering (2023) Vol. 75, pp. 106886-106886
Closed Access | Times Cited: 25

A deep learning-based bridge damage detection and localization method
Hongshuo Sun, Song Li, Zhiwu Yu
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110277-110277
Closed Access | Times Cited: 22

Lightweight object detection network for multi‐damage recognition of concrete bridges in complex environments
Tianyong Jiang, Lingyun Li, Bijan Samali, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 23, pp. 3646-3665
Open Access | Times Cited: 13

Damage identification of wind turbine blades based on deep learning and ultrasonic testing
Xinghan Zhu, Zhenwu Guo, Qiaojun Zhou, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-26
Closed Access | Times Cited: 10

Evolution of Digital Twin Frameworks in Bridge Management: Review and Future Directions
Vahid Mousavi, Maria Rashidi, Masoud Mohammadi, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1887-1887
Open Access | Times Cited: 10

Fractal theory based identification model for surface crack of building structures
Zhiwen Su, Fobao Zhou, Jiaqiao Liang, et al.
Engineering Structures (2024) Vol. 305, pp. 117708-117708
Open Access | Times Cited: 9

Lightweight network for millimeter-level concrete crack detection with dense feature connection and dual attention
Xiao Ma, Yang Li, Zijiang Yang, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 109821-109821
Open Access | Times Cited: 9

Structural fault diagnosis of UAV based on convolutional neural network and data processing technology
Yumeng Ma, Faizal Mustapha, M. R. Ishak, et al.
Nondestructive Testing And Evaluation (2023) Vol. 39, Iss. 2, pp. 426-445
Closed Access | Times Cited: 21

Crack recognition on concrete structures based on machine crafted and hand crafted features
R. Priyadharshini, S. Arivazhagan, M. Arun
Expert Systems with Applications (2023) Vol. 228, pp. 120447-120447
Closed Access | Times Cited: 21

ResNet-integrated very early bolt looseness monitoring based on intrinsic feature extraction of percussion sounds
Rui Yuan, Yong Lv, Shijie Xu, et al.
Smart Materials and Structures (2023) Vol. 32, Iss. 3, pp. 034002-034002
Closed Access | Times Cited: 18

Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks
Yu Xie, Stefan Oniga
Sensors (2023) Vol. 23, Iss. 4, pp. 1932-1932
Open Access | Times Cited: 18

An Explainable Spatial-Temporal Graphical Convolutional Network to Score Freezing of Gait in Parkinsonian Patients
Hyeokhyen Kwon, Gari D. Clifford, Imari Genias, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1766-1766
Open Access | Times Cited: 17

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