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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:

System-Level Performance Degradation Prediction for Power Converters Based on SSA–Elman NN and Empirical Knowledge
Ying Zeng, Tudi Huang, Tingyu Zhang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1240-1250
Closed Access | Times Cited: 21

Showing 21 citing articles:

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
Strength Analysis and Reliability Evaluation of Buried Steel Gas Pipelines Under Vehicle Load
Yuan‐Jian Yang, Shuang Lv, Yiming Chen, et al.
Quality and Reliability Engineering International (2025)
Closed Access
A dual‐channel transferable RUL prediction method integrated with Bayesian deep learning and domain adaptation for rolling bearings
Junyu Guo, Zhiyuan Wang, Yulai Yang, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2348-2366
Closed Access | Times Cited: 4
Maintenance Modeling for a Multi‐Component System Considering Dynamic Importance of Components and Imperfect Repair
Faqun Qi, Jinliang Kong, Mi Li, et al.
Quality and Reliability Engineering International (2025)
Closed Access
A novel method based on CNN-BiGRU and AM model for bearing fault diagnosis
Ziwei Xu, Yan‐Feng Li, Hong‐Zhong Huang, et al.
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 7, pp. 3361-3369
Closed Access | Times Cited: 3
A novel intelligent fault diagnosis method of rolling bearings based on capsule network with Fast Routing algorithm
Guang‐Jun Jiang, Dezhi Li, Qi Li, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2235-2255
Closed Access | Times Cited: 2
A reliability analysis and optimization method for a turbine shaft under combined high and low cycle fatigue loading
Song Bai, Ying Zeng, Tudi Huang, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2367-2380
Closed Access | Times Cited: 2
Reliability evaluation in the zero‐failure Weibull case based on double‐modified hierarchical Bayes
Bo Zheng, Zuteng Long, Yang Ning, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 6, pp. 3581-3596
Closed Access | Times Cited: 2
Probabilistic modeling of double linear damage accumulation and its application in fatigue reliability analysis
Zhaochun Peng, Liangma Shi, Jian Hu, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2196-2215
Closed Access | Times Cited: 1
A new ordering method of basic events in dynamic fault tree for sequential binary decision diagram
Tudi Huang, Ying Zeng, Yan‐Feng Li, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2904-2914
Closed Access | Times Cited: 1
Reliability evaluation of spacecraft power generation performance with competitive failure processes under irradiation
Tingyu Zhang, Ying Zeng, Xin Huang, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 6, pp. 3304-3319
Closed Access | Times Cited: 1
A neural network copula function approach for solving joint basic probability assignment in structural reliability analysis
Rui‐Shi Yang, Lijun Sun, Haibin Li, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 6, pp. 3096-3119
Closed Access | Times Cited: 1
A probabilistic fatigue life assessment method for wind turbine blade based on Bayesian GPR with the effects of pitch angle
Xiaoling Zhang, Kejia Zhang, Zhongzhe Chen
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 6, pp. 3120-3140
Closed Access | Times Cited: 1
A pyramidal residual attention model of short‐term wind power forecasting for wind farm safety
Hai‐Kun Wang, Jiahui Du, Danyang Li, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 6, pp. 3001-3017
Closed Access | Times Cited: 1
Enterprise Performance Prediction Based on FASSA Elman Neural Network
En‐Hua Wang
(2024), pp. 617-620
Closed Access
A hybrid reliability assessment method based on health index construction and reliability modeling for rolling bearing
Yuan‐Jian Yang, Chengyuan Ma, G Liu, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 8, pp. 4131-4146
Closed Access
Fatigue Characteristics Analysis of Carbon Fiber Laminates with Multiple Initial Cracks
Zheng Liu, Yuhao Zhang, Haodong Liu, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8572-8572
Open Access
Fatigue Life Prediction and Reliability Assessment of CFRP Adhesively Bonded Joints in Offshore Wind Turbine Blade Applications: A Physics‐Informed Data‐Driven Approach
Zhenjiang Shao, Zheng Liu, Yuhao Zhang, et al.
Quality and Reliability Engineering International (2024)
Closed Access
Short-Term Forecasting of Wind Farm Output Considering Dynamic Thermal Rating of the Tie-Lines
Yi Su, Mao Tan, Zhen Li, et al.
Communications in computer and information science (2024), pp. 19-31
Closed Access
Probabilistic LCF life prediction framework for turbine discs considering random load history
Song Bai, Ying Zeng, Tudi Huang, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 6, pp. 3161-3172
Closed Access
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