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 prediction for multi-phase deteriorating process based on Wiener process
Guobo Liao, Hongpeng Yin, Chén Mĭn, et al.
Reliability Engineering & System Safety (2020) Vol. 207, pp. 107361-107361
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies
Adam Thelen, Xiaoge Zhang, Olga Fink, et al.
Structural and Multidisciplinary Optimization (2022) Vol. 65, Iss. 12
Open Access | Times Cited: 182

Remaining Useful Life Prediction of Lithium-ion Batteries Based on Wiener Process Under Time-Varying Temperature Condition
Xiaodong Xu, Shengjin Tang, Chuanqiang Yu, et al.
Reliability Engineering & System Safety (2021) Vol. 214, pp. 107675-107675
Closed Access | Times Cited: 131

Joint decision-making of parallel machine scheduling restricted in job-machine release time and preventive maintenance with remaining useful life constraints
Xinxin He, Zhijian Wang, Yanfeng Li, et al.
Reliability Engineering & System Safety (2022) Vol. 222, pp. 108429-108429
Closed Access | Times Cited: 68

A multi-phase Wiener process-based degradation model with imperfect maintenance activities
Jie Ma, Li Cai, Guobo Liao, et al.
Reliability Engineering & System Safety (2023) Vol. 232, pp. 109075-109075
Closed Access | Times Cited: 45

A Critical Review of Online Battery Remaining Useful Lifetime Prediction Methods
Shunli Wang, Siyu Jin, Dan Deng, et al.
Frontiers in Mechanical Engineering (2021) Vol. 7
Open Access | Times Cited: 70

An adaptive and generalized Wiener process model with a recursive filtering algorithm for remaining useful life estimation
Wennian Yu, Yimin Shao, Jin Xu, et al.
Reliability Engineering & System Safety (2021) Vol. 217, pp. 108099-108099
Closed Access | Times Cited: 64

Automatic multi-differential deep learning and its application to machine remaining useful life prediction
Sheng Xiang, Yi Qin, Fuqiang Liu, et al.
Reliability Engineering & System Safety (2022) Vol. 223, pp. 108531-108531
Closed Access | Times Cited: 41

A wiener-based remaining useful life prediction method with multiple degradation patterns
Yuxiong Li, Xianzhen Huang, Tianhong Gao, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102066-102066
Closed Access | Times Cited: 24

Degradation path approximation for remaining useful life estimation
Linchuan Fan, Wen‐Yi Lin, Xiaolong Chen, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102422-102422
Closed Access | Times Cited: 8

A novel based-performance degradation Wiener process model for real-time reliability evaluation of lithium-ion battery
Yun Zhu, Si‐Wei Liu, Kexiang Wei, et al.
Journal of Energy Storage (2022) Vol. 50, pp. 104313-104313
Closed Access | Times Cited: 28

Modeling deterioration and predicting remaining useful life using stochastic differential equations
Leandro Iannacone, Paolo Gardoni
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110251-110251
Open Access | Times Cited: 7

Modified Information Criterion for Testing Changes in the Inverse Gaussian Degradation Process
Jiahua Qiao, Xia Cai, Meiqi Zhang
Mathematics (2025) Vol. 13, Iss. 4, pp. 663-663
Open Access

New Method for Remaining Useful Life Prediction Based on Recurrence Multi‐Information Time‐Frequency Transformer Networks
Shuai Lv, Shujie Liu, Hongkun Li
Quality and Reliability Engineering International (2025)
Closed Access

Data-driven dynamic predictive maintenance for a manufacturing system with quality deterioration and online sensors
Biao Lu, Zhen Chen, Xufeng Zhao
Reliability Engineering & System Safety (2021) Vol. 212, pp. 107628-107628
Closed Access | Times Cited: 38

Accelerated Stress Factors Based Nonlinear Wiener Process Model for Lithium-Ion Battery Prognostics
Jin-Zhen Kong, Dong Wang, Tongtong Yan, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 11, pp. 11665-11674
Closed Access | Times Cited: 36

A condition-based prognostic approach for age- and state-dependent partially observable nonlinear degrading system
Zhenan Pang, Tianmei Li, Hong Pei, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108854-108854
Closed Access | Times Cited: 24

Remaining useful life estimation based on a nonlinear Wiener process model with CSN random effects
Dezhong Wu, Minping Jia, Yudong Cao, et al.
Measurement (2022) Vol. 205, pp. 112232-112232
Closed Access | Times Cited: 22

Remaining useful life prediction using nonlinear multi-phase Wiener process and variational Bayesian approach
Wen‐Yi Lin, Yi Chai, Linchuan Fan, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109800-109800
Closed Access | Times Cited: 15

Lifetime prediction and maintenance assessment of Lithium-ion batteries based on combined information of discharge voltage curves and capacity fade
Rui Wang, Mengmeng Zhu, Xiangwu Zhang
Journal of Energy Storage (2024) Vol. 81, pp. 110376-110376
Closed Access | Times Cited: 4

Remaining useful life prediction based on multi-stage Wiener process and Bayesian information criterion
Shuangchuan Wang, Mingjun Liu, Zengshou Dong
Computers & Industrial Engineering (2024) Vol. 196, pp. 110496-110496
Closed Access | Times Cited: 4

Remaining useful life prediction method based on two-phase adaptive drift Wiener process
Zhijian Wang, Pengwei Jiang, Zhongxin Chen, et al.
Reliability Engineering & System Safety (2025), pp. 110908-110908
Closed Access

Remaining Useful Life Prediction Method for Stochastic Degrading Devices Considering Predictive Maintenance
Qing Dong, Hong Pei, Changhua Hu, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1218-1218
Open Access

Remaining Useful Life Prediction of Lead-Acid Battery Using Multi-phase Wiener Process-based Degradation Model
Jun Yang, Yueming Hong, Wenlin Wang, et al.
Process Safety and Environmental Protection (2025), pp. 106974-106974
Closed Access

Unbiased parameters estimation and mis-specification analysis of Wiener process-based degradation model with random effects
Shengjin Tang, Fengfei Wang, Xiaoyan Sun, et al.
Applied Mathematical Modelling (2022) Vol. 109, pp. 134-160
Open Access | Times Cited: 20

Remaining useful life prediction of mechanical system based on performance evaluation and geometric fractional Lévy stable motion with adaptive nonlinear drift
Qiang Li, Zhenhui Ma, Hongkun Li, et al.
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109679-109679
Closed Access | Times Cited: 19

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