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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:

Remaining Useful Life Estimation of Structure Systems Under the Influence of Multiple Causes: Subsea Pipelines as a Case Study
Baoping Cai, Xiaoyan Shao, Liu Y, et al.
IEEE Transactions on Industrial Electronics (2019) Vol. 67, Iss. 7, pp. 5737-5747
Closed Access | Times Cited: 182

Showing 1-25 of 182 citing articles:

A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems
Ting Huang, Qiang Zhang, Xiaoan Tang, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 2, pp. 1289-1315
Closed Access | Times Cited: 164
A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing
Cheng‐Geng Huang, Hong‐Zhong Huang, Yan‐Feng Li, et al.
Journal of Manufacturing Systems (2021) Vol. 61, pp. 757-772
Closed Access | Times Cited: 143
A new bearing fault diagnosis method based on signal-to-image mapping and convolutional neural network
Jing Zhao, Shaopu Yang, Qiang Li, et al.
Measurement (2021) Vol. 176, pp. 109088-109088
Closed Access | Times Cited: 128
Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network
Xiaoli Zhao, Jianyong Yao, Wenxiang Deng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 9, pp. 6339-6353
Closed Access | Times Cited: 127
Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance
Baoping Cai, Yanping Zhang, Haifeng Wang, et al.
Reliability Engineering & System Safety (2021) Vol. 209, pp. 107464-107464
Open Access | Times Cited: 115
A Fusion CWSMM-Based Framework for Rotating Machinery Fault Diagnosis Under Strong Interference and Imbalanced Case
Xin Li, Jian Cheng, Haidong Shao, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 8, pp. 5180-5189
Closed Access | Times Cited: 103
Urban Transportation Planning
Sitesh Kumar Singh, Bader Eddin Alasali, Yuvraj Belbase
Advances in chemical and materials engineering book series (2025), pp. 469-504
Closed Access | Times Cited: 1
Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study
Baoping Cai, Hongyan Fan, Xiaoyan Shao, et al.
Computers & Industrial Engineering (2020) Vol. 151, pp. 106983-106983
Open Access | Times Cited: 125
Risk-based pipeline integrity management: A road map for the resilient pipelines
Faisal Khan, Rioshar Yarveisy, Rouzbeh Abbassi
Journal of Pipeline Science and Engineering (2021) Vol. 1, Iss. 1, pp. 74-87
Open Access | Times Cited: 96
Analyzing Collision, Grounding, and Sinking Accidents Occurring in the Black Sea Utilizing HFACS and Bayesian Networks
Özkan Uğurlu, Serdar Yıldız, Sean Loughney, et al.
Risk Analysis (2020) Vol. 40, Iss. 12, pp. 2610-2638
Open Access | Times Cited: 75
Fault diagnosis of multi-channel data by the CNN with the multilinear principal component analysis
Yiming Guo, Yifan Zhou, Zhisheng Zhang
Measurement (2020) Vol. 171, pp. 108513-108513
Closed Access | Times Cited: 69
Bearing degradation assessment and remaining useful life estimation based on Kullback-Leibler divergence and Gaussian processes regression
Prem Shankar Kumar, L. A. Kumaraswamidhas, S. K. Laha
Measurement (2021) Vol. 174, pp. 108948-108948
Closed Access | Times Cited: 66
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: 62
Fault Diagnosis Methodology of Redundant Closed-Loop Feedback Control Systems: Subsea Blowout Preventer System as a Case Study
Xiangdi Kong, Baoping Cai, Yonghong Liu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 53, Iss. 3, pp. 1618-1629
Closed Access | Times Cited: 59
A remaining life prediction of rolling element bearings based on a bidirectional gate recurrent unit and convolution neural network
Yajun Shang, Xinglu Tang, Zhao Guang-qian, et al.
Measurement (2022) Vol. 202, pp. 111893-111893
Closed Access | Times Cited: 53
Artificial intelligence enhanced fault prediction with industrial incomplete information
Xiaoyan Shao, Baoping Cai, Zhexian Zou, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112063-112063
Closed Access | Times Cited: 9
A multi-feature-based fault diagnosis method based on the weighted timeliness broad learning system
Wenkai Hu, Yan Wang, Yupeng Li, et al.
Process Safety and Environmental Protection (2024) Vol. 183, pp. 231-243
Closed Access | Times Cited: 8
Data-model-linked remaining useful life prediction method with small sample data: A case of subsea valve
Xiaoyan Shao, Baoping Cai, Lei Gao, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110323-110323
Closed Access | Times Cited: 7
Real-time risk analysis of road tanker containing flammable liquid based on fuzzy Bayesian network
Yuntao Li, Doudou Xu, Jian Shuai
Process Safety and Environmental Protection (2019) Vol. 134, pp. 36-46
Closed Access | Times Cited: 68
Reliability evaluation of fire alarm systems using dynamic Bayesian networks and fuzzy fault tree analysis
Mohammad Javad Jafari, Mostafa Pouyakian, Alireza Khanteymoori, et al.
Journal of Loss Prevention in the Process Industries (2020) Vol. 67, pp. 104229-104229
Closed Access | Times Cited: 68
Mission Reliability Evaluation for Fuzzy Multistate Manufacturing System Based on an Extended Stochastic Flow Network
Yihai He, Zhaoxiang Chen, Yixiao Zhao, et al.
IEEE Transactions on Reliability (2019) Vol. 69, Iss. 4, pp. 1239-1253
Closed Access | Times Cited: 64
Hybrid multimodal fusion with deep learning for rolling bearing fault diagnosis
Changchang Che, Huawei Wang, Xiaomei Ni, et al.
Measurement (2020) Vol. 173, pp. 108655-108655
Closed Access | Times Cited: 62
Gas pipeline failure evaluation method based on a Noisy-OR gate bayesian network
Xinliang Feng, Jiang Jun-cheng, Wenfeng Wang
Journal of Loss Prevention in the Process Industries (2020) Vol. 66, pp. 104175-104175
Closed Access | Times Cited: 54
Optimization of the Operation and Maintenance of renewable energy systems by Deep Reinforcement Learning
Luca Pinciroli, Piero Baraldi, Guido Ballabio, et al.
Renewable Energy (2021) Vol. 183, pp. 752-763
Open Access | Times Cited: 53
Functional risk-oriented health prognosis approach for intelligent manufacturing systems
Yihai He, Yixiao Zhao, Xiao Han, et al.
Reliability Engineering & System Safety (2020) Vol. 203, pp. 107090-107090
Closed Access | Times Cited: 52
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