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:

Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier
Saeed Rajabi, Mehdi Saman Azari, Stefania Santini, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117754-117754
Open Access | Times Cited: 85

Showing 26-50 of 85 citing articles:

Sensible multiscale symbol dynamic entropy for fault diagnosis of bearing
Hongchuang Tan, Suchao Xie, Hui Zhou, et al.
International Journal of Mechanical Sciences (2023) Vol. 256, pp. 108509-108509
Closed Access | Times Cited: 15

Digital twin-assisted gearbox dynamic model updating toward fault diagnosis
Jingyan Xia, Ruyi Huang, Yixiao Liao, et al.
Frontiers of Mechanical Engineering (2023) Vol. 18, Iss. 2
Closed Access | Times Cited: 13

Robust fault diagnosis of wind turbines based on MANFIS and zonotopic observers
Esvan-Jesús Pérez-Pérez, Vicenç Puig, Francisco‐Ronay López‐Estrada, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121095-121095
Closed Access | Times Cited: 12

IoT-based health monitoring and fault detection of industrial AC induction motor for efficient predictive maintenance
Muhammad Yousuf, Turki Alsuwian, Arslan Ahmed Amin, et al.
Measurement and Control (2024) Vol. 57, Iss. 8, pp. 1146-1160
Open Access | Times Cited: 4

A synchronization-induced cross-modal contrastive learning strategy for fault diagnosis of electromechanical systems under semi-supervised learning with current signal
Qinyuan Luo, Jinglong Chen, Yanyang Zi, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123801-123801
Closed Access | Times Cited: 4

Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach
Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem
Kurdistan Journal of Applied Research (2025) Vol. 10, Iss. 1, pp. 18-34
Open Access

Prognostics and health management for induction machines: a comprehensive review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 3, pp. 937-962
Closed Access | Times Cited: 11

Fuzzy-Based Variable Speed Limits System Under Connected Vehicle Environment: A Simulation-Based Case Study in the City of Naples
Angelo Coppola, Luca Di Costanzo, Luigi Pariota, et al.
IEEE Open Journal of Intelligent Transportation Systems (2023) Vol. 4, pp. 267-278
Open Access | Times Cited: 11

Advancing aircraft engine RUL predictions: an interpretable integrated approach of feature engineering and aggregated feature importance
Yazan Alomari, Mátyás Andó, Márcia Baptista
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11

Domain adaptation with label-aligned sampling (DALAS) for cross-domain fault diagnosis of rotating machinery under class imbalance
Jinwook Lee, Jin Uk Ko, Tae-Hun Kim, et al.
Expert Systems with Applications (2023) Vol. 243, pp. 122910-122910
Closed Access | Times Cited: 11

Analysis and identification of gas-liquid two-phase flow pattern based on multi-scale power spectral entropy and pseudo-image encoding
Lifeng Zhang, Sijia Zhang
Energy (2023) Vol. 282, pp. 128835-128835
Closed Access | Times Cited: 10

Bearing Fault Diagnosis Using a Hybrid Fuzzy V-Structure Fault Estimator Scheme
Farzin Piltan, Jong-Myon Kim
Sensors (2023) Vol. 23, Iss. 2, pp. 1021-1021
Open Access | Times Cited: 9

Distribution recurrence plots and measures: Effective signal analysis tools for fault diagnosis of wind turbine drivetrain system
Kaixuan Shao, Yigang He, Xiaole Hu, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101985-101985
Closed Access | Times Cited: 9

FASER: Fault-affected signal energy ratio for fault diagnosis of gearboxes under repetitive operating conditions
Kyumin Na, Yunhan Kim, Heonjun Yoon, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122078-122078
Closed Access | Times Cited: 9

Variance-capturing forward-forward autoencoder (VFFAE): A forward learning neural network for fault detection and isolation of process data
Deepak Kumar, Umang Goswami, Hariprasad Kodamana, et al.
Process Safety and Environmental Protection (2023) Vol. 178, pp. 176-194
Closed Access | Times Cited: 8

Fusion-driven fault diagnosis based on adaptive tuning feature mode decomposition and synergy graph enhanced transformer for bearings under noisy conditions
Lin Zhu, Jin Wang, Min Chen, et al.
Expert Systems with Applications (2024), pp. 125441-125441
Closed Access | Times Cited: 2

Deep expert network: A unified method toward knowledge-informed fault diagnosis via fully interpretable neuro-symbolic AI
Qi Li, Yuekai Liu, Shilin Sun, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 652-661
Closed Access | Times Cited: 2

An innovative data-driven AI approach for detecting and isolating faults in gas turbines at power plants
Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Maryam Khanian Najafabadi, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125497-125497
Closed Access | Times Cited: 2

Real-Time Detection of Faults in Rotating Blades Using Frequency Response Function Analysis
Ravi Prakash Babu Kocharla, Murahari Kolli, Muralimohan Cheepu
Applied Mechanics (2023) Vol. 4, Iss. 1, pp. 356-370
Open Access | Times Cited: 6

High Precision Feature Fast Extraction Strategy for Aircraft Attitude Sensor Fault Based on RepVGG and SENet Attention Mechanism
Zhen Jia, Kai Wang, Yang Li, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9662-9662
Open Access | Times Cited: 9

Improved sparse low-rank model via periodic overlapping group shrinkage and truncated nuclear norm for rolling bearing fault diagnosis
Qian Zhang, Xinxin Li, Hanling Mao, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 6, pp. 065009-065009
Closed Access | Times Cited: 5

Research on multi-granularity imbalanced knowledge condition monitoring for mechanical equipment based on hierarchical ELM in multi-entropy space
Sencai Ma, Gang Cheng, Yong Li, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121817-121817
Closed Access | Times Cited: 5

A Combined Model for Water Quality Prediction Based on VMD-TCN-ARIMA Optimized by WSWOA
Hongyu Zuo, Xiantai Gou, Xin Wang, et al.
Water (2023) Vol. 15, Iss. 24, pp. 4227-4227
Open Access | Times Cited: 5

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