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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:

Image Processing-Based Detection of Pipe Corrosion Using Texture Analysis and Metaheuristic-Optimized Machine Learning Approach
Nhat‐Duc Hoang, Van-Duc Tran
Computational Intelligence and Neuroscience (2019) Vol. 2019, pp. 1-13
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
Md Mahadi Hasan Imran, Shahrizan Jamaludin, Ahmad Faisal Mohamad Ayob
Ocean Engineering (2024) Vol. 295, pp. 116796-116796
Closed Access | Times Cited: 18
Machine learning for material characterization with an application for predicting mechanical properties
Anke Stoll, Peter Benner
GAMM-Mitteilungen (2021) Vol. 44, Iss. 1
Open Access | Times Cited: 73
Deep learning model for predicting tunnel damages and track serviceability under seismic environment
Abdullah Ansari, K. Seshagiri Rao, A. K. Jain, et al.
Modeling Earth Systems and Environment (2022) Vol. 9, Iss. 1, pp. 1349-1368
Open Access | Times Cited: 56
Prediction of Air Pollution Index in Kuala Lumpur using fuzzy time series and statistical models
Jian Wei Koo, Shin Wee Wong, Ganeshsree Selvachandran, et al.
Air Quality Atmosphere & Health (2019) Vol. 13, Iss. 1, pp. 77-88
Closed Access | Times Cited: 70
Image Processing-Based Pitting Corrosion Detection Using Metaheuristic Optimized Multilevel Image Thresholding and Machine-Learning Approaches
Nhat‐Duc Hoang
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-19
Open Access | Times Cited: 60
Sensors in advancing the capabilities of corrosion detection: A review
M. Sai Bhargava Reddy, Deepalekshmi Ponnamma, Kishor Kumar Sadasivuni, et al.
Sensors and Actuators A Physical (2021) Vol. 332, pp. 113086-113086
Closed Access | Times Cited: 50
A novel metaheuristic-based approach for prediction of corrosion characteristics in offshore pipelines
Mahdi shabani, Michel Kadoch, Seyedali Mirjalili
Engineering Failure Analysis (2025) Vol. 170, pp. 109231-109231
Closed Access
Predictive maintenance management of gear systems in the era of computer vision
Jane Kelly Barbosa de Almeida, Rodrigo Sampaio Lopes, Marcele Elisa Fontana
International Journal of Quality & Reliability Management (2025)
Closed Access
A Combined Deep Learning and Morphology Approach for DFS Identification and Parameter Extraction
Maolin Ye, Qing Wang, Changmin Zhang, et al.
Computers & Geosciences (2025), pp. 105856-105856
Closed Access
Dealing with the Class Imbalance Problem in the Detection of Fake Job Descriptions
Minh Thanh Vo, Anh H. Vo, Trang Nguyen, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 68, Iss. 1, pp. 521-535
Open Access | Times Cited: 38
Computer Vision‐Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic‐Based Investigation Metaheuristic
Nhat‐Duc Hoang, Thanh‐Canh Huynh, Van-Duc Tran
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 34
Defect identification for oil and gas pipeline safety based on autonomous deep learning network
Min Zhang, Yanbao Guo, Qiuju Xie, et al.
Computer Communications (2022) Vol. 195, pp. 14-26
Closed Access | Times Cited: 24
Corrosion Area Detection and Depth Prediction using Machine Learning
Eun-Young Son, Dayeon Jeong, Minjae Oh
International Journal of Naval Architecture and Ocean Engineering (2024) Vol. 16, pp. 100617-100617
Open Access | Times Cited: 4
Automatic deblurring and rating classification for metal corrosion images
Jiaxiang Wang, Pufen Zhang, Sijie Chang, et al.
Computational Materials Science (2025) Vol. 251, pp. 113725-113725
Closed Access
Evaluation of Palm Oil Corrosion Inhibition Through Image Analysis in Copper Pipes Used in Air Conditioning Systems
Marcos Paulo Simões Barbosa, Carmem Célia Francisco do Nascimento, Daniel de Matos Luna dos Santos, et al.
Journal of Bio- and Tribo-Corrosion (2025) Vol. 11, Iss. 2
Closed Access
P-DETR: A Transformer-Based Algorithm for Pipeline Structure Detection
Ibrahim Akinjobi Aromoye, Lo Hai Hiung, Patrick Sébastian
Results in Engineering (2025), pp. 104652-104652
Open Access
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: 29
A channel attention based deep neural network for automatic metallic corrosion detection
Sheng Zhang, Xinling Deng, Yumin Lu, et al.
Journal of Building Engineering (2021) Vol. 42, pp. 103046-103046
Closed Access | Times Cited: 27
A CAD system design for Alzheimer's disease diagnosis using temporally consistent clustering and hybrid deep learning models
Pemmu. Raghavaiah, S. Varadarajan
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103571-103571
Closed Access | Times Cited: 16
Exploring copper corrosion inhibition in value added neem biodiesel: Evaluation by traditional and machine learning approaches
S. Iyyappan, Vinod Kumar K P, P Ponram, et al.
Industrial Crops and Products (2024) Vol. 219, pp. 119073-119073
Closed Access | Times Cited: 3
Leveraging Machine Learning for Pipeline Condition Assessment
Hongfang Lü, Zhao‐Dong Xu, Xulei Zang, et al.
Journal of Pipeline Systems Engineering and Practice (2023) Vol. 14, Iss. 3
Closed Access | Times Cited: 8
Early predicting tribocorrosion rate of dental implant titanium materials using random forest machine learning models
Remya Ampadi Ramachandran, Valentim Adelino Ricardo Barão, Didem Ozevin, et al.
Tribology International (2023) Vol. 187, pp. 108735-108735
Open Access | Times Cited: 7
Unsupervised environmental operating condition compensation strategies in a guided ultrasonic wave monitoring system: evaluation and comparison
Yon Kong Chen, Norhisham Bakhary, Khairul Hazman Padil, et al.
Journal of Civil Structural Health Monitoring (2024) Vol. 14, Iss. 4, pp. 861-884
Closed Access | Times Cited: 2
Comparative Analysis of Improved YOLO v5 Models for Corrosion Detection in Coastal Environments
Qifeng Yu, Yudong Han, Xinjia Gao, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 10, pp. 1754-1754
Open Access | Times Cited: 2
A critical analysis of machine learning in ship, offshore, and oil & gas corrosion research, part I: Corrosion detection and classification
Muhammad Imran, Mohammad Ilyas Khan, Shahrizan Jamaludin, et al.
Ocean Engineering (2024) Vol. 313, pp. 119600-119600
Closed Access | Times Cited: 2
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