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:

Statistical analysis of metastable pitting behavior of 2024 aluminum alloy based on deep learning
Zhenchang Xu, Baoyu Cai, Luchun Yan, et al.
Corrosion Science (2024) Vol. 233, pp. 112077-112077
Closed Access | Times Cited: 11

Showing 11 citing articles:

A Deep Learning Framework for Corrosion Assessment of Steel Structures Using Inception v3 Model
Xinghong Huang, Zhenhua Duan, Shaojin Hao, et al.
Buildings (2025) Vol. 15, Iss. 4, pp. 512-512
Open Access | Times Cited: 1

Study the impact of secondary phases on the corrosion resistance and mechanical properties of aluminum alloys under simulated harsh marine environment
Bingxiao Shi, Luntao Wang, Xuequn Cheng, et al.
Surfaces and Interfaces (2025), pp. 105994-105994
Closed Access | Times Cited: 1

Elucidation of the trigger for trenching around Al (Fe, Mn) on AA5083 aluminum alloy in diluted synthetic seawater
Takumi Kosaba, Masashi Nishimoto, Izumi Muto
Corrosion Science (2024) Vol. 239, pp. 112362-112362
Closed Access | Times Cited: 4

Corrosion and fatigue behavior of a stress-aged 2195 Al-Cu-Li alloy
Zhenghong Fu, Xi Li, Ciren puchi, et al.
Engineering Failure Analysis (2025), pp. 109418-109418
Closed Access

Understanding of the occurrence of intergranular corrosion in 2024 aluminum alloy under atmospheric environment
Baoyu Cai, Zhenchang Xu, Guipeng Liu, et al.
Journal of Materials Research and Technology (2025)
Open Access

Convolutional neural network for automated quantitative analysis of non-destructively acquired three-dimensional corrosion pit morphology data
K.N. Sasidhar, Rohan Ahuja, Christine Lukas, et al.
Scripta Materialia (2025) Vol. 262, pp. 116660-116660
Closed Access

Accurate prediction of pitting corrosion in aluminum alloys via integrated multi-model methods
Zhenchang Xu, Xinliang Li, Baoyu Cai, et al.
Progress in Natural Science Materials International (2025)
Closed Access

Mapping knowledge structure and themes trends of corrosion detection of steel: A bibliometric analysis
Wei Chen, Jia Hou, Shaojin Hao, et al.
Computational Materials Science (2025) Vol. 253, pp. 113889-113889
Closed Access

Regulating grain boundary element distribution of Al-Cu alloy to improve corrosion resistance by boron addition
Le Ren, Ruisong Tan, Di Zhang, et al.
Corrosion Science (2024), pp. 112665-112665
Closed Access | Times Cited: 2

Merging Data with Modeling: An Example from Fatigue
D. Gary Harlow
Materials (2024) Vol. 17, Iss. 14, pp. 3383-3383
Open Access

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