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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:

Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data
Peng Ding, Minping Jia, Yifei Ding, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101691-101691
Closed Access | Times Cited: 16

Showing 16 citing articles:

A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction
Yi Qin, Jiahong Yang, Jianghong Zhou, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101973-101973
Closed Access | Times Cited: 52
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis
Yutong Dong, Hongkai Jiang, Mingzhe Mu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102573-102573
Closed Access | Times Cited: 22
Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions
Peng Ding, Jun Xia, Xiaoli Zhao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102360-102360
Closed Access | Times Cited: 14
Towards unified aleatory and epistemic uncertainty quantification for machinery health prognostic through sequential heteroscedastic Gaussian process regression
Tao Liang, Fuli Wang, Shu Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102719-102719
Closed Access | Times Cited: 5
Benchmark transformation neural network for health indicator construction under time-varying speed and its application in machinery prognostics
Jiahong Yang, Jianghong Zhou, Yi Chai, et al.
Reliability Engineering & System Safety (2025) Vol. 257, pp. 110823-110823
Closed Access
A survey on few-shot learning for remaining useful life prediction
Renpeng Mo, Han Zhou, Hongpeng Yin, et al.
Reliability Engineering & System Safety (2025), pp. 110850-110850
Closed Access
The human-centric framework integrating knowledge distillation architecture with fine-tuning mechanism for equipment health monitoring
Jr-Fong Dang, Tzu‐Li Chen, Hung‐Yi Huang
Advanced Engineering Informatics (2025) Vol. 65, pp. 103167-103167
Closed Access
Physics-informed few-shot learning for wind pressure prediction of low-rise buildings
Yanmo Weng, Stephanie German Paal
Advanced Engineering Informatics (2023) Vol. 56, pp. 102000-102000
Closed Access | Times Cited: 12
New Health Indicator Construction and Fault Detection Network for Rolling Bearings via Convolutional Auto-Encoder and Contrast Learning
Dongdong Wu, Da Chen, Gang Yu
Machines (2024) Vol. 12, Iss. 6, pp. 362-362
Open Access | Times Cited: 3
Machinery degradation trend prediction considering temporal distribution discrepancy between degradation stages
Shudong Ou, Ming Zhao, Hao Wu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107872-107872
Closed Access | Times Cited: 2
Remaining Useful Life Prediction of Milling Tool Based on Pyramid CNN
Ning Hu, Zhenguo Liu, Shixin Jiang, et al.
Shock and Vibration (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 3
Sequence-Spectrogram Fusion Network for Machinery Diagnosis Through Few-Shot Time-Series Classification
Hao Zhang, Teng Li, Jing Ai, et al.
(2024)
Closed Access
Phyformer: A degradation physics-informed self-data driven approach to machinery prognostics
Yiwei Wang, Meili Li, Lianyu Zheng, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102772-102772
Closed Access
Sequence–spectrogram fusion network for wind turbine diagnosis through few-shot time-series classification
Hao Zhang, Teng Li, Jing Ai, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 102976-102976
Closed Access
Remaining useful life prediction of slewing bearings using attention mechanism enabled multivariable gated recurrent unit network
Yiyu Shao, Qinrong Qian, Hua Wang
Transactions of the Institute of Measurement and Control (2024)
Closed Access
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