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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:

The use of artificial intelligence combiners for modeling steel pitting risk and corrosion rate
Jui‐Sheng Chou, Ngoc-Tri Ngo, Wai K. Chong
Engineering Applications of Artificial Intelligence (2016) Vol. 65, pp. 471-483
Closed Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Applications of machine learning methods for engineering risk assessment – A review
Jeevith Hegde, Børge Rokseth
Safety Science (2019) Vol. 122, pp. 104492-104492
Open Access | Times Cited: 298
Prediction of surface chloride concentration of marine concrete using ensemble machine learning
Rong Cai, Taihao Han, Wenyu Liao, et al.
Cement and Concrete Research (2020) Vol. 136, pp. 106164-106164
Open Access | Times Cited: 210
Reviewing machine learning of corrosion prediction in a data-oriented perspective
Leonardo Bertolucci Coelho, Dawei Zhang, Yves Van Ingelgem, et al.
npj Materials Degradation (2022) Vol. 6, Iss. 1
Open Access | Times Cited: 147
Advanced intelligence frameworks for predicting maximum pitting corrosion depth in oil and gas pipelines
Mohamed El Amine Ben Seghier, Behrooze Keshtegar, Mohammed Taleb‐Berrouane, et al.
Process Safety and Environmental Protection (2021) Vol. 147, pp. 818-833
Closed Access | Times Cited: 126
A focused review on machine learning aided high-throughput methods in high entropy alloy
Ling Qiao, Yong Liu, Jingchuan Zhu
Journal of Alloys and Compounds (2021) Vol. 877, pp. 160295-160295
Closed Access | Times Cited: 107
Advances in corrosion growth modeling for oil and gas pipelines: A review
Haonan Ma, Weidong Zhang, Yao Wang, et al.
Process Safety and Environmental Protection (2022) Vol. 171, pp. 71-86
Closed Access | Times Cited: 72
Emerging AI technologies for corrosion monitoring in oil and gas industry: A comprehensive review
Ali Hussein Khalaf, Ying Xiao, Ning Xu, et al.
Engineering Failure Analysis (2023) Vol. 155, pp. 107735-107735
Closed Access | Times Cited: 49
Advancements in Surface Coatings and Inspection Technologies for Extending the Service Life of Concrete Structures in Marine Environments: A Critical Review
T. Clive Lee, Dongchan Kim, Sang‐Hwan Cho, et al.
Buildings (2025) Vol. 15, Iss. 3, pp. 304-304
Open Access | Times Cited: 4
Soft computing techniques in structural and earthquake engineering: a literature review
Roberto Falcone, Carmine Lima, Enzo Martinelli
Engineering Structures (2020) Vol. 207, pp. 110269-110269
Closed Access | Times Cited: 137
Determining quality of water in reservoir using machine learning
Jui‐Sheng Chou, Chia-Chun Ho, Ha-Son Hoang
Ecological Informatics (2018) Vol. 44, pp. 57-75
Closed Access | Times Cited: 128
Improving solar forecasting using Deep Learning and Portfolio Theory integration
Marcello Anderson F. B. Lima, Paulo César Marques de Carvalho, Luis M. Fernández‐Ramírez, et al.
Energy (2020) Vol. 195, pp. 117016-117016
Open Access | Times Cited: 90
Ensemble machine learning model for corrosion initiation time estimation of embedded steel reinforced self-compacting concrete
Babatunde Abiodun Salami, Syed Masiur Rahman, Tajudeen A. Oyehan, et al.
Measurement (2020) Vol. 165, pp. 108141-108141
Closed Access | Times Cited: 87
An improved continuum damage mechanics model for evaluating corrosion–fatigue life of high-strength steel wires in the real service environment
Chuanjie Cui, Airong Chen, Rujin Ma
International Journal of Fatigue (2020) Vol. 135, pp. 105540-105540
Closed Access | Times Cited: 84
Machine learning algorithms in the environmental corrosion evaluation of reinforced concrete structures - A review
Hanxi Jia, Guofu Qiao, Peng Han
Cement and Concrete Composites (2022) Vol. 133, pp. 104725-104725
Closed Access | Times Cited: 49
A data-driven prediction model for maximum pitting corrosion depth of subsea oil pipelines using SSA-LSTM approach
Xinhong Li, Mengmeng Guo, Renren Zhang, et al.
Ocean Engineering (2022) Vol. 261, pp. 112062-112062
Closed Access | Times Cited: 42
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: 40
Machine learning prediction of corrosion rate of steel in carbonated cementitious mortars
Haodong Ji, Hailong Ye
Cement and Concrete Composites (2023) Vol. 143, pp. 105256-105256
Closed Access | Times Cited: 30
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: 24
Machine learning-based acoustic emission technique for corrosion-induced damage monitoring in reinforced concrete structures
A. Thirumalaiselvi, Saptarshi Sasmal
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109121-109121
Closed Access | Times Cited: 11
Degradation Models and Maintenance Strategies for Reinforced Concrete Structures in Coastal Environments under Climate Change: A Review
Luis F. Rincón, Yina M. Moscoso, Ameur El Amine Hamami, et al.
Buildings (2024) Vol. 14, Iss. 3, pp. 562-562
Open Access | Times Cited: 10
Unsupervised classification of organic coating performance using electrochemical impedance data
Vincenzo Bongiorno, Emmanouela Michailidou, M. Curioni, et al.
Journal of Applied Electrochemistry (2025)
Open Access | Times Cited: 1
Equivalent surface defect model for fatigue life prediction of steel reinforcing bars with pitting corrosion
Jie Chen, Bo Diao, Jingjing He, et al.
International Journal of Fatigue (2018) Vol. 110, pp. 153-161
Closed Access | Times Cited: 71
Academic Policy Regarding Sustainability and Artificial Intelligence (AI)
Muhammad Tanveer, Shafiqul Hassan, Amiya Bhaumik
Sustainability (2020) Vol. 12, Iss. 22, pp. 9435-9435
Open Access | Times Cited: 69
Using regression models for predicting the product quality in a tubing extrusion process
Vicente García, J. Salvador Sánchez, Luis Alberto Rodríguez‐Picón, et al.
Journal of Intelligent Manufacturing (2018) Vol. 30, Iss. 6, pp. 2535-2544
Closed Access | Times Cited: 68
Measurement of reinforcement corrosion in concrete adopting ultrasonic tests and artificial neural network
Yidong Xu, Ruoyu Jin
Construction and Building Materials (2018) Vol. 177, pp. 125-133
Open Access | Times Cited: 62
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