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:

A random forest regression with Bayesian optimization-based method for fatigue strength prediction of ferrous alloys
Junyu Guo, Xueping Zan, Lin Wang, et al.
Engineering Fracture Mechanics (2023) Vol. 293, pp. 109714-109714
Closed Access | Times Cited: 20

Showing 20 citing articles:

Machine learning-based fatigue life prediction of lamellar titanium alloys: A microstructural perspective
Y. Zhao, Yujie Xiang, Keke Tang
Engineering Fracture Mechanics (2024) Vol. 303, pp. 110106-110106
Closed Access | Times Cited: 9

Merging multi-level evidential observations for dynamic reliability assessment of hierarchical multi-state systems: A dynamic Bayesian network approach
Tudi Huang, Tangfan Xiahou, Jinhua Mi, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110225-110225
Closed Access | Times Cited: 9

Bayesian Fusion of Degradation and Failure Time Data for Reliability Assessment of Industrial Equipment Considering Individual Differences
Guo‐Zhong Fu, Xian Zhang, Wei Li, et al.
Processes (2024) Vol. 12, Iss. 2, pp. 268-268
Open Access | Times Cited: 6

CCZM‐based fatigue analysis and reliability assessment for wind turbine blade adhesive joints considering parameter uncertainties
Zheng Liu, Haodong Liu, Zhenjiang Shao, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 6, pp. 3037-3054
Closed Access | Times Cited: 5

Winter Wheat Yield Prediction Using Satellite Remote Sensing Data and Deep Learning Models
Hongkun Fu, Jian Lü, Jian Li, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 205-205
Open Access

Evolution of the Fatigue Failure Prediction Process from Experiment to Artificial Intelligence: A Review
Cornel Samoilă, Doru Ursuţiu, Iuliana Tudorache
Materials (2025) Vol. 18, Iss. 5, pp. 1153-1153
Open Access

Data-Driven Prediction of Compressive Strength for Ultra-high Performance Concrete Exposed to Elevated Temperatures
Xiaoqing Yu, Canhui Chen, Jianliang Xie, et al.
Materials Today Communications (2025), pp. 111518-111518
Closed Access

Deep Learning-Based Fatigue Strength Prediction for Ferrous Alloy
Zhikun Huang, Jingchao Yan, Jianlong Zhang, et al.
Processes (2024) Vol. 12, Iss. 10, pp. 2214-2214
Open Access | Times Cited: 3

Data-driven composition design and property optimization of solid solution and precipitation simultaneously strengthened non-oriented silicon steel
Yameng Liu, Zhilei Wang, Yutang Wang, et al.
Materials & Design (2024) Vol. 242, pp. 113011-113011
Open Access | Times Cited: 2

Balancing computational chemistry's potential with its environmental impact
Oliver Schilter, Philippe Schwaller, Teodoro Laino
Green Chemistry (2024) Vol. 26, Iss. 15, pp. 8669-8679
Open Access | Times Cited: 2

Prediction and analysis of mechanical properties of hot-rolled strip steel based on an interpretable machine learning
Xiaojun Wang, Xu Li, Hao Yuan, et al.
Materials Today Communications (2024) Vol. 40, pp. 109997-109997
Closed Access | Times Cited: 1

A stacking ensemble model for predicting the flexural fatigue life of fiber-reinforced concrete
Wan-lin Min, Weiliang Jin, Yen-yi Hoo, et al.
International Journal of Fatigue (2024) Vol. 190, pp. 108599-108599
Closed Access | Times Cited: 1

Comparison of machine learning algorithms on a low heat rejection diesel engine running on ternary blends
Krishna Kumar Pandey, Naseem Khayum, Jakeer Hussain Shaik
Journal of Renewable and Sustainable Energy (2024) Vol. 16, Iss. 5
Closed Access | Times Cited: 1

Pricing Chinese Convertible Bonds with Learning-Based Monte Carlo Simulation Model
Jiangshan Zhu, Conghua Wen, Li Rong
Axioms (2024) Vol. 13, Iss. 4, pp. 218-218
Open Access

An intrusion detection system based on convolution neural network
Yanmeng Mo, Huige Li, Dongsheng Wang, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2152-e2152
Open Access

A machine learning-assisted study of the formation of oxygen vacancies in anatase titanium dioxide
Dan Wang, Zan Rui-guang, Xiaorong Zhu, et al.
RSC Advances (2024) Vol. 14, Iss. 45, pp. 33198-33205
Open Access

Thermodynamic calculation-assisted design of 500 MPa high performance steel by machine learning
Weiyi Gong, Jinshan He, Fan Wang, et al.
Journal of Materials Research and Technology (2024) Vol. 33, pp. 7061-7069
Open Access

Analysis of friction and wear vibration signals in Micro-Textured coated Cemented Carbide and Titanium Alloys using the STFT-CWT method
Shoumeng Wang, Xin Tong, Shucai Yang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112237-112237
Closed Access

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