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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:

A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning
Nhat‐Duc Hoang, Thanh‐Canh Huynh, Xuan-Linh Tran, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

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: 26
Recent computer vision applications for pavement distress and condition assessment
Ayman H. El Hakea, Mohamed Waleed Fakhr
Automation in Construction (2022) Vol. 146, pp. 104664-104664
Closed Access | Times Cited: 42
MFAFNet: An innovative crack intelligent segmentation method based on multi-layer feature association fusion network
Jiaxiu Dong, Niannian Wang, Hongyuan Fang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102584-102584
Closed Access | Times Cited: 11
Machine Learning Techniques for Structural Health Monitoring of Concrete Structures: A Systematic Review
P. Padmapoorani, S. Senthilkumar, R. Mohanraj
Iranian Journal of Science and Technology Transactions of Civil Engineering (2023) Vol. 47, Iss. 4, pp. 1919-1931
Closed Access | Times Cited: 17
Pixel-Level patch detection from full-scale asphalt pavement images based on deep learning
Xuetang Xiong, Yiqiu Tan
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 14
Integration of a CNN-based model and ensemble learning for detecting post-earthquake road cracks with deep features
Hatice Çatal Reis, Veysel Turk, Soner Karacur, et al.
Structures (2024) Vol. 62, pp. 106179-106179
Closed Access | Times Cited: 4
Automation detection of asphalt pavement bleeding for imbalanced datasets using an anomaly detection approach
Mohammad Hassan Daneshvari, Barat Mojaradi, Mahmoud Ameri, et al.
Measurement (2024) Vol. 235, pp. 114987-114987
Closed Access | Times Cited: 4
Intelligent pavement condition survey: Overview of current researches and practices
Allen Zhang, Jing Shang, Baoxian Li, et al.
Journal of Road Engineering (2024) Vol. 4, Iss. 3, pp. 257-281
Open Access | Times Cited: 4
An Improved Deep Learning Framework Based on Multi-Scale Convolutional Architecture for Road Crack Detection
Idris Ya’u Idris, Badamasi Imam Ya’u, Ali Usman Abdullahi, et al.
Lecture notes in networks and systems (2025), pp. 109-121
Closed Access
A novel maintenance decision model for asphalt pavement considering crack causes based on random forest and XGBoost
Junqing Zhu, Yiqun Yin, Tao Ma, et al.
Construction and Building Materials (2025) Vol. 477, pp. 140610-140610
Closed Access
Towards Safer Cities: AI-Powered Infrastructure Fault Detection Based on YOLOv11
Raiyen Z. Rakin, Mahmudur Rahman, Kanij F. Borsa, et al.
Future Internet (2025) Vol. 17, Iss. 5, pp. 187-187
Open Access
Automated instance segmentation of asphalt pavement patches based on deep learning
Anzheng He, Allen Zhang, Xinyi Xu, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 3
GoogleNet transfer learning with improved gorilla optimized kernel extreme learning machine for accurate detection of asphalt pavement cracks
Hanlei Lin
Structural Health Monitoring (2024) Vol. 23, Iss. 5, pp. 2853-2868
Closed Access | Times Cited: 2
Artificial Bee Colony Algorithm to Optimize the Safety Distance of Workers in Construction Projects
Eric Forcael, Ibzan Carriel, Alexander Opazo-Vega, et al.
Mathematics (2024) Vol. 12, Iss. 13, pp. 2087-2087
Open Access | Times Cited: 2
Crack Image Augmentation and Segmentation Based on Convolutional Block Attention Implicit Diffusion Model

Academic Journal of Computing & Information Science (2024) Vol. 7, Iss. 7
Open Access | Times Cited: 2
Comparative Study of Lightweight Target Detection Methods for Unmanned Aerial Vehicle-Based Road Distress Survey
Feifei Xu, Yan Wan, Zhipeng Ning, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 6159-6159
Open Access | Times Cited: 2
Research on high-precision recognition model for multi-scene asphalt pavement distresses based on deep learning
Sheng Zhang, Zhenghao Bei, Tonghua Ling, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
An Efficient Method for Detecting Asphalt Pavement Cracks and Sealed Cracks Based on a Deep Data-Driven Model
Nan Yang, Yongshang Li, Ronggui Ma
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 10089-10089
Open Access | Times Cited: 10
Swarm-Inspired Computing to Solve Binary Optimization Problems: A Backward Q-Learning Binarization Scheme Selector
Marcelo Becerra, José Lemus-Romani, Felipe Cisternas-Caneo, et al.
Mathematics (2022) Vol. 10, Iss. 24, pp. 4776-4776
Open Access | Times Cited: 9
Improved Salp Swarm Algorithm for Tool Wear Prediction
Yu Wei, Weibing Wan, Xiaoming You, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 769-769
Open Access | Times Cited: 4
Image processing-based classification of pavement fatigue severity using extremely randomized trees, deep neural network, and convolutional neural network
Nhat‐Duc Hoang, Van-Duc Tran, Xuan-Linh Tran
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 4
Advancement in the automation of paved roadways performance patrolling: A review
Muhammad Saiful Islam, Ahmed Mohamed Ibrahim, Kazi Ekramul Hoque, et al.
Measurement (2024) Vol. 232, pp. 114734-114734
Closed Access | Times Cited: 1
Intelligent decision-making for binary coverage: Unveiling the potential of the multi-armed bandit selector
Marcelo Becerra, José Lemus-Romani, Broderick Crawford, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 124112-124112
Closed Access | Times Cited: 1
How to Make a State of the Art Report—Case Study—Image-Based Road Crack Detection: A Scientometric Literature Review
Luxin Fan, Saihong Tang, Mohd Khairol Anuar Mohd Ariffin, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4817-4817
Open Access | Times Cited: 1
Automated pavement detection and artificial intelligence pavement image data processing technology
Jing Shang, Allen Zhang, Zishuo Dong, et al.
Automation in Construction (2024) Vol. 168, pp. 105797-105797
Closed Access | Times Cited: 1
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