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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:

A novel fault diagnosis framework for rotating machinery with hierarchical multiscale symbolic diversity entropy and robust twin hyperdisk-based tensor machine
Zuanyu Zhu, Junsheng Cheng, Ping Wang, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109037-109037
Closed Access | Times Cited: 18

Showing 18 citing articles:

AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions
Deqiang He, Jinxin Wu, Zhenzhen Jin, et al.
Reliability Engineering & System Safety (2025), pp. 110907-110907
Closed Access | Times Cited: 1
Semi-supervised multi-sensor information fusion tailored graph embedded low-rank tensor learning machine under extremely low labeled rate
Haifeng Xu, Xu Wang, Jinfeng Huang, et al.
Information Fusion (2023) Vol. 105, pp. 102222-102222
Closed Access | Times Cited: 31
Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery
Mingkuan Shi, Chuancang Ding, Rui Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109601-109601
Closed Access | Times Cited: 29
A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery
Biliang Lu, Yingjie Zhang, Zhaohua Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109618-109618
Closed Access | Times Cited: 18
Scraper conveyor gearbox fault diagnosis based on multi-source heterogeneous data fusion
Long Feng, Zeyu Ding, Yibing Yin, et al.
Measurement (2025), pp. 116797-116797
Closed Access
Fault diagnosis technique based on multi-domain features and RelifF-Bayes-KNN in rolling bearing
Bing Wang, Xiong Hu
Nonlinear Dynamics (2025)
Closed Access
A fault diagnosis method of rotating machinery based on improved multiscale attention entropy and random forests
Fei Chen, Liyao Zhang, Wen‐Shen Liu, et al.
Nonlinear Dynamics (2023) Vol. 112, Iss. 2, pp. 1191-1220
Open Access | Times Cited: 13
Fault diagnosis method based on multimodal-deep tensor projection network under variable working conditions
Li Zhi, Chenyu Liu, Wenjing Huang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112336-112336
Closed Access
Dynamics simulation-driven fault diagnosis of rolling bearings using security transfer support matrix machine
Xin Li, Shuhua Li, Dong Wei, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109882-109882
Closed Access | Times Cited: 10
LoRa-based outdoor localization and tracking using unsupervised symbolization
Khondoker Ziaul Islam, David W. Murray, Dean Diepeveen, et al.
Internet of Things (2023) Vol. 25, pp. 101016-101016
Open Access | Times Cited: 9
Causality-based adversarial attacks for robust GNN modelling with application in fault detection
Jie Liu, Zihan He, Yonghao Miao
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110464-110464
Closed Access | Times Cited: 3
How to mine the abnormal information of power transformers: An efficient tool for quantifying the fault characteristics via multi-vibration signals
Z.X. Zhao, Fei Chen, Pengfei Lan, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102561-102561
Closed Access | Times Cited: 2
Distance similarity entropy: a sensitive nonlinear feature extraction method for rolling bearing fault diagnosis
Tao Wang, Shin Yee Khoo, Zhi Chao Ong, et al.
Reliability Engineering & System Safety (2024) Vol. 255, pp. 110643-110643
Closed Access | Times Cited: 1
Refined composite hierarchical multiscale Lempel-Ziv complexity: A quantitative diagnostic method of multi-feature fusion for rotating energy devices
Zhigao Zhao, Fei Chen, Zhonghua Gui, et al.
Renewable Energy (2023) Vol. 218, pp. 119310-119310
Closed Access | Times Cited: 4
Fractional Diversity Entropy: A Vibration Signal Measure to Assist a Diffusion Model in the Fault Diagnosis of Automotive Machines
Baohua Wang, Jiacheng Zhang, Weilong Wang, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3155-3155
Open Access
Tensor Poincaré plot index: A novel nonlinear dynamic method for extracting abnormal state information of pumped storage units
Fei Chen, Ding Chen, Xiaoxi Hu, et al.
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110607-110607
Closed Access
A Condition Monitoring Method via Optimization-Based Adaptive Feature Extraction Strategy
Lingxia Mu, Jian Zhang, Nan Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-16
Closed Access | Times Cited: 1
A Fault Diagnosis Technique Based on Multi-Domain Features and Reliff-Bayes-Knn
Bing Wang, Xiong Hu
(2023)
Open Access
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