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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:

Deep neural network-based multiagent synergism method of probabilistic HCF evaluation for aircraft compressor rotor
Bowei Wang, Wenzhong Tang, Lu-Kai Song, et al.
International Journal of Fatigue (2023) Vol. 170, pp. 107510-107510
Closed Access | Times Cited: 10

Showing 10 citing articles:

An attention-based temporal convolutional network method for predicting remaining useful life of aero-engine
Qiang Zhang, Qiong Liu, Ye Qin
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107241-107241
Closed Access | Times Cited: 38
A Novel Pipeline Age Evaluation: Considering Overall Condition Index and Neural Network Based on Measured Data
Hassan Noroznia, Majid Gandomkar, Javad Nikoukar, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 252-268
Open Access | Times Cited: 16
Research on fatigue reliability assessment of engine cylinder head based on neural network
Guoxi Jing, Shubo Li, Sen Xiao, et al.
International Journal of Fatigue (2023) Vol. 175, pp. 107800-107800
Closed Access | Times Cited: 15
Prediction of Aerodynamic Forces at the Tip of the Compressor Blades Based on Multi-scale 1DCNN Combined with CBAM
Minghui Yao, Shaohua Wu, Yan Niu, et al.
Thin-Walled Structures (2024) Vol. 203, pp. 112190-112190
Closed Access | Times Cited: 4
Evaluation of diffusion and Henry's coefficients of CO2 absorption using Response Surface Methodology and Artificial Neural Network models
Danial Behvandi, Maede Arefizadeh, Ahad Ghaemi, et al.
Case Studies in Chemical and Environmental Engineering (2024) Vol. 9, pp. 100723-100723
Open Access | Times Cited: 3
AOK‐ES: Adaptive optimized Kriging combining efficient sampling for structural reliability analysis
Ying Huang, Jianguo Zhang, Bowei Wang, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 4, pp. 1502-1525
Closed Access | Times Cited: 2
Adaptive optimization deep neural network framework of reliability estimation for engineering structures
Chunyan Zhu, Zhen-Ao Li, Xiaowei Dong, et al.
Structures (2024) Vol. 64, pp. 106621-106621
Closed Access | Times Cited: 2
Probabilistic fatigue estimation framework for aeroengine bladed discs with multiple fuzziness modeling
Yaowei Wang, Lu-Kai Song, Xueqin Li, et al.
Journal of Materials Research and Technology (2023) Vol. 24, pp. 2812-2827
Open Access | Times Cited: 6
Dynamic particle swarm optimization-radial function extremum neural network method of HCF probability analysis for compressor blade
Jingshan Wei, Qun Zheng, Wei Yan, et al.
International Journal of Fatigue (2023) Vol. 176, pp. 107900-107900
Closed Access | Times Cited: 4
Optimization of Structures and Composite Materials: A Brief Review
André Costa Vieira, Marcos Antônio dos Santos Silva Filho, João Paulo Eguea, et al.
Eng—Advances in Engineering (2024) Vol. 5, Iss. 4, pp. 3192-3211
Open Access
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