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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:

Road Crack Detection using Support Vector Machine (SVM) and OTSU Algorithm
Yuslena Sari, Puguh Budi Prakoso, Andreyan Rezky Baskara
(2019), pp. 349-354
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Image-Based Crack Detection Methods: A Review
Hafiz Suliman Munawar, Ahmed W. A. Hammad, Assed Haddad, et al.
Infrastructures (2021) Vol. 6, Iss. 8, pp. 115-115
Open Access | Times Cited: 198
A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives
Vahidreza Gharehbaghi, Ehsan Noroozinejad Farsangi, Mohammad Noori, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 4, pp. 2209-2235
Closed Access | Times Cited: 133
Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results
Tatsuro Yamane, Pang-jo CHUN, Ji Dang, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 17, pp. 2391-2407
Open Access | Times Cited: 34
ECSNet: An Accelerated Real-Time Image Segmentation CNN Architecture for Pavement Crack Detection
Tianjie Zhang, Donglei Wang, Yang Lu
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 12, pp. 15105-15112
Closed Access | Times Cited: 31
Image Processing Techniques for Concrete Crack Detection: A Scientometrics Literature Review
Md. Al-Masrur Khan, Seong‐Hoon Kee, Al‐Sakib Khan Pathan, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2400-2400
Open Access | Times Cited: 28
Assessment of Cracking Development in Concrete Precast Crane Beams Using Optical and Deep Learning Methods
Marek Słoński
Materials (2025) Vol. 18, Iss. 4, pp. 731-731
Open Access | Times Cited: 1
Artificial Neural Network-Based Automated Crack Detection and Analysis for the Inspection of Concrete Structures
Jung Jin Kim, Ah‐Ram Kim, Seong-Won Lee
Applied Sciences (2020) Vol. 10, Iss. 22, pp. 8105-8105
Open Access | Times Cited: 61
Pavement Defect Detection With Deep Learning: A Comprehensive Survey
Lili Fan, Dandan Wang, Junhao Wang, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 3, pp. 4292-4311
Closed Access | Times Cited: 19
UAV vision detection method for crane surface cracks based on Faster R-CNN and image segmentation
Q. Zhou, Shuqing Ding, Guangwei Qing, et al.
Journal of Civil Structural Health Monitoring (2022) Vol. 12, Iss. 4, pp. 845-855
Closed Access | Times Cited: 19
TV-Net: A Structure-Level Feature Fusion Network Based on Tensor Voting for Road Crack Segmentation
Wenwen Zheng, Xiaoyan Jiang, Zhijun Fang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 6, pp. 5743-5754
Closed Access | Times Cited: 4
Transfer learned deep feature based crack detection using support vector machine: a comparative study
K. S. Bhalaji Kharthik, Edeh Michael Onyema, Saurav Mallik, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Comprehensive Analysis of Machine Learning Techniques for Crack Detection
L. M. Arpitha, R. Anil Kumar, Zoya Fathima, et al.
Sustainable civil infrastructures (2025), pp. 169-192
Closed Access
Detection of Water Surface Using Canny and Otsu Threshold Methods with Machine Learning Algorithms on Google Earth Engine: A Case Study of Lake Van
Pınar KARAKUŞ
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2903-2903
Open Access
On the hybridization of pre-trained deep learning and differential evolution algorithms for semantic crack detection and recognition in ensemble of infrastructures
Eslam Mohammed Abdelkader
Smart and Sustainable Built Environment (2021) Vol. 11, Iss. 3, pp. 740-764
Closed Access | Times Cited: 25
Two-step deep learning approach for pavement crack damage detection and segmentation
Yongqing Jiang, Dandan Pang, Chengdong Li, et al.
International Journal of Pavement Engineering (2022) Vol. 24, Iss. 2
Closed Access | Times Cited: 16
Real-Time Road Damage Detection and Infrastructure Evaluation Leveraging Unmanned Aerial Vehicles and Tiny Machine Learning
Muhammad Waseem Khan, Mohammad S. Obaidat, Khalid Mahmood, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 21347-21358
Closed Access | Times Cited: 3
Towards Robotic Marble Resin Application: Crack Detection on Marble Using Deep Learning
Εleni Vrochidou, George Sidiropoulos, Athanasios G. Ouzounis, et al.
Electronics (2022) Vol. 11, Iss. 20, pp. 3289-3289
Open Access | Times Cited: 14
Semantic Segmentation of Surface Cracks in Urban Comprehensive Pipe Galleries Based on Global Attention
Yuan Zhou, Zhiyu Yang, Xiaofeng Bai, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 1005-1005
Open Access | Times Cited: 2
Condition Monitoring of Additively Manufactured Injection Mould Tooling: A Review of Demands, Opportunities and Potential Strategies
Albert Weinert, T. David, Christopher O’Hara, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2313-2313
Open Access | Times Cited: 6
Machine learning-based pavement crack detection, classification, and characterization: a review
Arselan Ashraf, Ali Sophian, Amir Akramin Shafie, et al.
Bulletin of Electrical Engineering and Informatics (2023) Vol. 12, Iss. 6, pp. 3601-3619
Open Access | Times Cited: 6
Application of neural network method for road crack detection
Yuslena Sari, Puguh Budi Prakoso, Andreyan Rizky Baskara
TELKOMNIKA (Telecommunication Computing Electronics and Control) (2020) Vol. 18, Iss. 4, pp. 1962-1962
Open Access | Times Cited: 17
Automatic Recognition of Road Damage Based on Lightweight Attentional Convolutional Neural Network
Liang Han, Seong‐Cheol Lee, Suyoung Seo
Sensors (2022) Vol. 22, Iss. 24, pp. 9599-9599
Open Access | Times Cited: 10
Road Safety: Road Degradation Survey Through Images by UAV
Vincenzo Barrile, Ernesto Bernardo, Antonino Fotia, et al.
WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT (2020) Vol. 16, pp. 649-659
Open Access | Times Cited: 14
Comprehensive Evaluation of Asphalt Pavement Performance in Hot and Humid Areas Based on Self-Organizing Map and Random Forest Algorithms
Qiao Sun, Ideris Zakaria
Academic Journal of Computing & Information Science (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Classifying flexible pavement defects using hybrid machine learning approach
Jaykumar Soni, Rajesh Gujar
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 34, Iss. 2, pp. 1072-1072
Open Access | Times Cited: 1
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