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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:

Efficient temporal flow Transformer accompanied with multi-head probsparse self-attention mechanism for remaining useful life prognostics
Yuanhong Chang, Fudong Li, Jinglong Chen, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108701-108701
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

An integrated multi-head dual sparse self-attention network for remaining useful life prediction
Jiusi Zhang, Xiang Li, Jilun Tian, et al.
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109096-109096
Closed Access | Times Cited: 119
A new convolutional dual-channel Transformer network with time window concatenation for remaining useful life prediction of rolling bearings
Li Jiang, Tianao Zhang, Lei Wei, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101966-101966
Closed Access | Times Cited: 54
A parallel GRU with dual-stage attention mechanism model integrating uncertainty quantification for probabilistic RUL prediction of wind turbine bearings
Lixiao Cao, Hongyu Zhang, Zong Meng, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109197-109197
Closed Access | Times Cited: 52
Temporal multi-resolution hypergraph attention network for remaining useful life prediction of rolling bearings
Jinxin Wu, Deqiang He, Jiayi Li, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110143-110143
Closed Access | Times Cited: 29
Deep transfer learning-based hierarchical adaptive remaining useful life prediction of bearings considering the correlation of multistage degradation
Han-Bing Zhang, De-Jun Cheng, Kaili Zhou, et al.
Knowledge-Based Systems (2023) Vol. 266, pp. 110391-110391
Closed Access | Times Cited: 22
A regularized constrained two-stream convolution augmented Transformer for aircraft engine remaining useful life prediction
Jiangyan Zhu, Jun Ma, Jiande Wu
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108161-108161
Closed Access | Times Cited: 12
Meta-learning with deep flow kernel network for few shot cross-domain remaining useful life prediction
Jing Yang, Xiaomin Wang
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109928-109928
Closed Access | Times Cited: 10
An intelligent hybrid deep learning model for rolling bearing remaining useful life prediction
Linfeng Deng, Wei Li, Xinhui Yan
Nondestructive Testing And Evaluation (2024), pp. 1-28
Closed Access | Times Cited: 8
A novel transformer-based DL model enhanced by position-sensitive attention and gated hierarchical LSTM for aero-engine RUL prediction
Xinping Chen
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Transfer life prediction of gears by cross-domain health indicator construction and multi-hierarchical long-term memory augmented network
Dingliang Chen, Yi Qin, Quan Qian, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108916-108916
Closed Access | Times Cited: 27
A novel transfer gear life prediction method by the cross-condition health indicator and nested hierarchical binary-valued network
Dingliang Chen, Wei Cai, Hangjun Yu, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109390-109390
Closed Access | Times Cited: 18
Local Enhancing Transformer With Temporal Convolutional Attention Mechanism for Bearings Remaining Useful Life Prediction
Huachao Peng, Bin Jiang, Zehui Mao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 18
Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review
Somayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, et al.
IEEE Access (2023) Vol. 11, pp. 41741-41769
Open Access | Times Cited: 16
A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction
Yongbo Cheng, Junheng Qv, Ke Feng, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110188-110188
Closed Access | Times Cited: 6
A short-term power load forecasting system based on data decomposition, deep learning and weighted linear error correction with feedback mechanism
Zhaochen Dong, Zhirui Tian, Shuang Lv
Applied Soft Computing (2024) Vol. 162, pp. 111863-111863
Closed Access | Times Cited: 6
A weighted time embedding transformer network for remaining useful life prediction of rolling bearing
Mingyuan Zhang, Chen He, Chengxuan Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110399-110399
Closed Access | Times Cited: 5
A novel cross-scenario transferable RUL prediction network with multisource domain meta transfer learning for wind turbine bearings
Lixiao Cao, Xue‐Ping Wang, Hongyu Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-9
Closed Access
Remaining Useful Life Prediction Method for Bearings Based on Pruned Exact Linear Time State Segmentation and Time–Frequency Diagram
Wei Xu, Jingjing Fan, Huahua Wang, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1950-1950
Open Access
Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions
Yuan Li, Jingwei Li, Huanjie Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109748-109748
Closed Access | Times Cited: 15
Advanced transformer model for simultaneous leakage aperture recognition and localization in gas pipelines
Pengyu Li, Xiufang Wang, Chunlei Jiang, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109685-109685
Closed Access | Times Cited: 14
Triplet adversarial Learning-driven graph architecture search network augmented with Probsparse-attention mechanism for fault diagnosis under Few-shot & Domain-shift
Yuanhong Chang, Jinglong Chen, Weiguang Zheng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110462-110462
Closed Access | Times Cited: 13
Transformer-based novel framework for remaining useful life prediction of lubricant in operational rolling bearings
Sung-Hyun Kim, Yun-Ho Seo, Junhong Park
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110377-110377
Closed Access | Times Cited: 4
Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure
Yuling Zhan, Ziqian Kong, Ziqi Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110383-110383
Closed Access | Times Cited: 4
A novel multi-task fault detection model embedded with spatio-temporal feature fusion for wind turbine pitch and drive train systems
Lixiao Cao, Zhiqiang Li, Jimeng Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103194-103194
Closed Access
A pruning-aware dynamic slimmable network using meta-gradients for high-speed train bogie bearing fault diagnosis
Jingsong Xie, S. Cao, Tongyang Pan, et al.
ISA Transactions (2025)
Closed Access
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