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:

Showing 1-25 of 61 citing articles:

Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage
Angelo Cardellicchio, Sergio Ruggieri, Andrea Nettis, et al.
Engineering Failure Analysis (2023) Vol. 149, pp. 107237-107237
Open Access | Times Cited: 79

Inspecting Buildings Using Drones and Computer Vision: A Machine Learning Approach to Detect Cracks and Damages
Hafiz Suliman Munawar, Fahim Ullah, Amirhossein Heravi, et al.
Drones (2021) Vol. 6, Iss. 1, pp. 5-5
Open Access | Times Cited: 60

Civil Infrastructure Damage and Corrosion Detection: An Application of Machine Learning
Hafiz Suliman Munawar, Fahim Ullah, Danish Shahzad, et al.
Buildings (2022) Vol. 12, Iss. 2, pp. 156-156
Open Access | Times Cited: 57

Computer vision-based classification of concrete spall severity using metaheuristic-optimized Extreme Gradient Boosting Machine and Deep Convolutional Neural Network
Hieu Nguyen, Nhat‐Duc Hoang
Automation in Construction (2022) Vol. 140, pp. 104371-104371
Closed Access | Times Cited: 39

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: 39

Machine learning in coastal bridge hydrodynamics: A state-of-the-art review
Guoji Xu, Chengjie Ji, Yong Xu, et al.
Applied Ocean Research (2023) Vol. 134, pp. 103511-103511
Closed Access | Times Cited: 23

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: 11

Advanced multi-image segmentation-based machine learning modeling strategy for corrosion prediction and rust layer performance evaluation of weathering steel
Bingqin Wang, Liangan Liu, Xuequn Cheng, et al.
Corrosion Science (2024) Vol. 237, pp. 112334-112334
Closed Access | Times Cited: 11

Multilevel thresholding of images with improved Otsu thresholding by black widow optimization algorithm
Anfal Thaer Hussein Al-Rahlawee, Javad Rahebi
Multimedia Tools and Applications (2021) Vol. 80, Iss. 18, pp. 28217-28243
Closed Access | Times Cited: 47

Multi-Scale Lightweight Neural Network for Steel Surface Defect Detection
Yichuan Shao, Shuo Fan, Haijing Sun, et al.
Coatings (2023) Vol. 13, Iss. 7, pp. 1202-1202
Open Access | Times Cited: 20

Predicting Rainfall-Induced Soil Erosion Based on a Hybridization of Adaptive Differential Evolution and Support Vector Machine Classification
Tuan Vu Dinh, Hieu Nguyen, Xuan-Linh Tran, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-20
Open Access | Times Cited: 38

AMCD: an accurate deep learning-based metallic corrosion detector for MAV-based real-time visual inspection
Leijian Yu, Erfu Yang, Cai Luo, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 7, pp. 8087-8098
Open Access | Times Cited: 31

Automatic recognition of concrete spall using image processing and metaheuristic optimized LogitBoost classification tree
Minh-Tu Cao, Ngoc‐Mai Nguyen, Kuan-Tsung Chang, et al.
Advances in Engineering Software (2021) Vol. 159, pp. 103031-103031
Closed Access | Times Cited: 30

Research on equipment corrosion diagnosis method and prediction model driven by data
Jianfeng Yang, Ru Li, Liangchao Chen, et al.
Process Safety and Environmental Protection (2021) Vol. 158, pp. 418-431
Closed Access | Times Cited: 30

Internet of Medical Things (IoMT) and Reflective Belief Design-Based Big Data Analytics with Convolution Neural Network-Metaheuristic Optimization Procedure (CNN-MOP)
A. Sampathkumar, Miretab Tesfayohani, Shishir Kumar Shandilya, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 19

Image-Based Corrosion Detection in Ancillary Structures
Amrita Das, Eberechi Ichi, Sattar Dorafshan
Infrastructures (2023) Vol. 8, Iss. 4, pp. 66-66
Open Access | Times Cited: 12

Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns
Somain Sharma, Harish Chandra Arora, Aman Kumar, et al.
Shock and Vibration (2023) Vol. 2023, pp. 1-21
Open Access | Times Cited: 11

State-of-the-art progress on artificial intelligence and machine learning in accessing molecular coordination and adsorption of corrosion inhibitors
Taiwo W. Quadri, Ekemini D. Akpan, Saheed E. Elugoke, et al.
Applied Physics Reviews (2025) Vol. 12, Iss. 1
Closed Access

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

Improving and comparing performance of machine learning classifiers optimized by swarm intelligent algorithms for code smell detection
Shivani Jain, Anju Saha
Science of Computer Programming (2024) Vol. 237, pp. 103140-103140
Closed Access | Times Cited: 3

Enhancing structural health monitoring with AI-ML algorithms: a focus on crack detection and prediction
Ahmad Fuad Bader, Amir Shtayat, Bara’ W. Al-Mistarehi
Asian Journal of Civil Engineering (2025)
Closed Access

LBA-YOLO: A novel lightweight approach for detecting micro-cracks in building structures
Wenhao Ren, Zuowei Zhong
PLoS ONE (2025) Vol. 20, Iss. 5, pp. e0321640-e0321640
Open Access

Prospect of Using Machine Learning-Based Microwave Nondestructive Testing Technique for Corrosion Under Insulation: A Review
Tan Shin Yee, Nawaf H. M. M. Shrifan, Ahmed Jamal Abdullah Al-Gburi, et al.
IEEE Access (2022) Vol. 10, pp. 88191-88210
Open Access | Times Cited: 15

Page 1 - Next Page

Scroll to top