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 of rolling bearing under limited data based on adaptive time-series feature window and multi-step ahead strategy
Weili Kong, Hai Li
Applied Soft Computing (2022) Vol. 129, pp. 109630-109630
Closed Access | Times Cited: 23

Showing 23 citing articles:

A Novel Robust Dual Unscented Particle Filter Method for Remaining Useful Life Prediction of Rolling Bearings
Lingli Cui, Wenjie Li, Dongdong Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 16

The LPST-Net: A new deep interval health monitoring and prediction framework for bearing-rotor systems under complex operating conditions
Tongguang Yang, Guanchen Li, Kaitai Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102558-102558
Closed Access | Times Cited: 16

Multi-source information joint transfer diagnosis for rolling bearing with unknown faults via wavelet transform and an improved domain adaptation network
Pengfei Liang, Jiaye Tian, Suiyan Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109788-109788
Closed Access | Times Cited: 31

Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions
Jichao Zhuang, Yudong Cao, Minping Jia, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120276-120276
Closed Access | Times Cited: 25

A novel framework based on two-stage multi-view feature optimization and improved support vector data description for aeroengine bearing early fault detection
Zhaoguo Hou, Huawei Wang, Yubin Yue, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110027-110027
Closed Access | Times Cited: 13

A novel machinery RUL prediction method based on exponential model and cross-domain health indicator considering first-to-end prediction time
Xuewu Pei, Xinyu Li, Liang Gao
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111122-111122
Closed Access | Times Cited: 10

Personalized federated learning for remaining useful life prediction under scenarios of fragmented out-of-distribution data
Jiechen Sun, Funa Zhou, Hu Xiong, et al.
Reliability Engineering & System Safety (2025), pp. 111094-111094
Closed Access

A Robust Health Prognostics Technique for Failure Diagnosis and the Remaining Useful Lifetime Predictions of Bearings in Electric Motors
L. Magadán, Francisco J. Suárez, Juan C. Granda, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2220-2220
Open Access | Times Cited: 12

Residual Life Prediction of Rolling Bearings Based on a CEEMDAN Algorithm Fused with CNN–Attention-Based Bidirectional LSTM Modeling
Xinggang Zhang, Jianzhong Yang, Ximing J. Yang
Processes (2023) Vol. 12, Iss. 1, pp. 8-8
Open Access | Times Cited: 11

A novel algorithm for tool wear monitoring utilizing model and Knowledge-Guided Multi-Expert weighted adversarial deep transfer learning
Zhilie Gao, Ni Chen, Liang Li
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112456-112456
Closed Access

A New Strategy for Bearing Health Assessment with a Dynamic Interval Prediction Model
Lingli Jiang, Heshan Sheng, Tongguang Yang, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7696-7696
Open Access | Times Cited: 7

Advancements in Bearing Remaining Useful Life Prediction Methods: A Comprehensive Review
Liuyang Song, Tianjiao Lin, Jin Ye, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092003-092003
Closed Access | Times Cited: 2

An innovative Multisource Lightweight Adaptive Replayed Online Deep Transfer Learning algorithm for tool wear monitoring
Zhilie Gao, Ni Chen, Yinfei Yang, et al.
Journal of Manufacturing Processes (2024) Vol. 124, pp. 261-281
Closed Access | Times Cited: 2

A sliding sequence importance resample filtering method for rolling bearings remaining useful life prediction based on two Wiener-process models
Youshuo Song, Shaoqiang Xu, Xi Lu
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015019-015019
Closed Access | Times Cited: 5

Remaining Useful Life Prediction via a Data-Driven Deep Learning Fusion Model-CALAP
M. Wu, Qing Ye, Jianxin Mu, et al.
IEEE Access (2023) Vol. 11, pp. 112085-112096
Open Access | Times Cited: 4

Enhancing Aircraft Safety through Advanced Engine Health Monitoring with Long Short-Term Memory
Suleyman Yildirim, Zeeshan A. Rana
Sensors (2024) Vol. 24, Iss. 2, pp. 518-518
Open Access | Times Cited: 1

Predictive Maintenance for Gantry Crane Shafts: Enhancing Sensor Features With Dynamic Dual-Domain Competitive Attention GRU Autoencoder
Xinhao Shao, Yanjun Ma, Daofang Chang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 11, pp. 18154-18171
Closed Access

Remaining Useful Life Prediction for Aero-Engine based on Ghost-LSTM Model
Ying Yang, Menglin Zhang, Xiaozhi Liu
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 189-194
Closed Access

Remaining useful life prediction for machinery using multimodal interactive attention spatial–temporal networks with deep ensembles
Yuanyuan Zhou, Hang Wang, Huaiwang Jin, et al.
Expert Systems with Applications (2024), pp. 125808-125808
Closed Access

A Probabilistic Bayesian Transformer for Bearings Remaining Useful Life Prediction
Huachao Peng, Bin Jiang, Zehui Mao
2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS) (2023), pp. 1-6
Closed Access

A method for establishing a bearing residual life prediction model for process enhancement equipment based on rotor imbalance response analysis
Feng Wang, Haoran Li, Zhenghui Zhang, et al.
Chinese Journal of Chemical Engineering (2023) Vol. 66, pp. 203-215
Closed Access

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