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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:

Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression
Jiaxian Chen, Dongpeng Li, Ruyi Huang, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109151-109151
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Jiaxian Chen, Ruyi Huang, Zhuyun Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110239-110239
Closed Access | Times Cited: 101
Single gated RNN with differential weighted information storage mechanism and its application to machine RUL prediction
Sheng Xiang, Penghua Li, Huang Yi, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109741-109741
Closed Access | Times Cited: 23
PAOLTransformer: Pruning-adaptive optimal lightweight Transformer model for aero-engine remaining useful life prediction
Xin Zhang, Jiankai Sun, Jiaxu Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109605-109605
Closed Access | Times Cited: 22
A multimodal dynamic parameterized bilinear factorized framework for remaining useful life prediction under variational data
Yuan Wang, Yaguo Lei, Naipeng Li, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110025-110025
Closed Access | Times Cited: 14
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
Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects
Shen Liu, Jinglong Chen, Yong Feng, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124511-124511
Closed Access | Times Cited: 8
Advances in Prognostics and Health Management for Aircraft Landing Gear—Progress, Challenges, and Future Possibilities
Izaz Raouf, Prashant Kumar, Yubin Cheon, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2024)
Closed Access | Times Cited: 8
Multi-task learning boosted predictions of the remaining useful life of aero-engines under scenarios of working-condition shift
Zhiyao Zhang, Xiaohong Chen, Enrico Zio, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109350-109350
Closed Access | Times Cited: 20
Machine learning and deep learning for safety applications: Investigating the intellectual structure and the temporal evolution
Leonardo Leoni, Ahmad BahooToroody, Mohammad Mahdi Abaei, et al.
Safety Science (2023) Vol. 170, pp. 106363-106363
Open Access | Times Cited: 19
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
A review: the application of generative adversarial network for mechanical fault diagnosis
Weiqing Liao, Ke Yang, Wenlong Fu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 062002-062002
Closed Access | Times Cited: 7
A transfer regression network-based adaptive calibration method for remaining useful life prediction considering individual discrepancies in the degradation process of machinery
Jiaxian Chen, Dongpeng Li, Ruyi Huang, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 5
Remaining useful life prediction of rolling bearings using a residual attention network with multi-scale feature extraction and temporal dependency enhancement
Lunpan Wei, Xiuyan Peng, Yunpeng Cao
Nondestructive Testing And Evaluation (2025), pp. 1-23
Closed Access
A heterogeneous space adaptive transfer learning method for multistage vibration affected stranded wire health monitoring using laser ultrasonic guided wave
Dingmin Yang, Bin Cui, Bin Zhang, et al.
Measurement (2025), pp. 116699-116699
Closed Access
Prediction of Remaining Useful Life (RUL) for an Aircraft Engine Using Various Machine Learning Algorithms
Dhruvi Shrimali, Swapnil Vegad, Keval Bhavsar, et al.
Lecture notes in mechanical engineering (2025), pp. 395-410
Closed Access
Collaborative monitoring method for cutter anomaly detection and RUL prediction based on multi-task learning
X. Y. Shao, Xiaoyin Nie, Hui Shi, et al.
Journal of Mechanical Science and Technology (2025)
Closed Access
An aero-engine remaining useful life prediction model based on feature selection and the improved TCN
Wenting Zha, Y Ye
Franklin Open (2024) Vol. 6, pp. 100083-100083
Open 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
Frontiers in machine learning strategies for dye removal in water treatment
Guanfeng Zheng, Peng Fu, Xinglin Li
Journal of Water Process Engineering (2025) Vol. 71, pp. 107251-107251
Closed Access
Health Evaluation Techniques Towards Rotating Machinery: A Systematic Literature Review and Implementation Guideline
Weixiong Jiang, Jun Wu, Yifan Yang, et al.
Reliability Engineering & System Safety (2025) Vol. 260, pp. 110924-110924
Closed Access
Log-Cumulative feature alignment for enhanced Prognosis of Aero-Engine remaining Useful life
Yang Ge, Xingxing Jiang, Benlian Xu, et al.
Expert Systems with Applications (2025), pp. 127277-127277
Closed Access
Deep time–frequency learning for interpretable weak signal enhancement of rotating machineries
Jiakai Ding, Yi Wang, Yi Qin, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106598-106598
Closed Access | Times Cited: 12
An adaptive remaining useful life prediction model for aeroengine based on multi-angle similarity
Z. C. Zhou, Mingliang Bai, Zhenhua Long, et al.
Measurement (2023) Vol. 226, pp. 114082-114082
Closed Access | Times Cited: 11
Prediction Model Optimization of Gas Turbine Remaining Useful Life Based on Transfer Learning and Simultaneous Distillation Pruning Algorithm
Yu Zheng, Liang Chen, Xiangyu Bao, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110562-110562
Closed Access | Times Cited: 3
Knowledge distillation-optimized two-stage anomaly detection for liquid rocket engine with missing multimodal data
Xinwei Zhang, Yong Feng, Jinglong Chen, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109676-109676
Closed Access | Times Cited: 7
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