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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:

State of the art on vibration signal processing towards data‐driven gear fault diagnosis
Shouhua Zhang, Jiehan Zhou, Erhua Wang, et al.
IET Collaborative Intelligent Manufacturing (2022) Vol. 4, Iss. 4, pp. 249-266
Open Access | Times Cited: 22

Showing 22 citing articles:

Planetary gearbox fault diagnosis based on FDKNN-DGAT with few labeled data
Hongfeng Tao, Haojin Shi, Jier Qiu, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025036-025036
Closed Access | Times Cited: 56
Tooth backlash inspired comb-shaped single-electrode triboelectric nanogenerator for self-powered condition monitoring of gear transmission
Song Wang, Zheng Chen, Tenghao Ma, et al.
Nano Energy (2024) Vol. 123, pp. 109429-109429
Closed Access | Times Cited: 15
An experimental anomaly detection framework for a conveyor motor system using recurrent neural network and dendritic gated neural network
Kahiomba Sonia Kiangala, Zenghui Wang
IET Collaborative Intelligent Manufacturing (2025) Vol. 7, Iss. 1
Open Access
A Wavelet Transform-Based Transfer Learning Approach for Enhanced Shaft Misalignment Diagnosis in Rotating Machinery
Houssem Habbouche, Tarak Benkedjouh, Yassine Amirat, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 341-341
Open Access
A complete ensemble empirical mode decomposition with adaptive noise deep autoregressive recurrent neural network method for the whole life remaining useful life prediction of lithium-ion batteries
Chuyan Zhang, Shunli Wang, Chunmei Yu, et al.
Ionics (2023) Vol. 29, Iss. 10, pp. 4337-4349
Closed Access | Times Cited: 8
Improved Group Sparse Modal Decomposition Methods With Applications to Fault Diagnosis of Rotating Machinery
Yueyang Li, Jialian Wu, Gang Yu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 6, pp. 8102-8114
Closed Access | Times Cited: 2
Extruder Machine Gear Fault Detection Using Autoencoder LSTM via Senor Fusion Approach
Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
(2023)
Open Access | Times Cited: 5
Evaluation of Hand-Crafted Feature Extraction for Fault Diagnosis in Rotating Machinery: A Survey
René–Vinicio Sánchez, Jean-Carlo Macancela, Luis-Renato Ortega, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5400-5400
Open Access | Times Cited: 1
TSViT: A Time Series Vision Transformer for Fault Diagnosis of Rotating Machinery
Shouhua Zhang, Jiehan Zhou, Xue Ma, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 10781-10781
Open Access | Times Cited: 1
Multi-agent reinforcement learning method for cutting parameters optimization based on simulation and experiment dual drive environment
Weiye Li, Caihua Hao, Songping He, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111473-111473
Closed Access | Times Cited: 1
Interpretable Motor Sound Classification for Enhanced Fault Detection Leveraging Explainable AI
Shaiq Ahmad Khan, Faiq Ahmad Khan, Akhtar Jamıl, et al.
(2024), pp. 1-10
Closed Access | Times Cited: 1
Extruder Machine Gear Fault Detection Using Autoencoder LSTM via Sensor Fusion Approach
Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
Inventions (2023) Vol. 8, Iss. 6, pp. 140-140
Open Access | Times Cited: 3
Rotating Machinery State Recognition Based on Mel-Spectrum and Transfer Learning
Fan Li, Zixiao Lu, Junyue Tang, et al.
Aerospace (2023) Vol. 10, Iss. 5, pp. 480-480
Open Access | Times Cited: 2
Performance evaluation of deep learning approaches for fault diagnosis of rotational mechanical systems using vibration, sound, and acoustic emission signals
T Praveen Kumar, R Buvaanesh, M. Saimurugan, et al.
Journal of low frequency noise, vibration and active control (2024) Vol. 43, Iss. 3, pp. 1363-1380
Open Access
Intelligent Framework Design for Quality Control in Industry 4.0
Yousaf Ali, Syed Waqar Shah, Arsalan Arif, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7726-7726
Open Access
Enhancing bearing and gear fault diagnosis: A VMD-PSO approach with multisensory signal integration
Abdel wahhab Lourari, Bilal El Yousfi, Tarak Benkedjouh, et al.
Journal of Vibration and Control (2024)
Closed Access
Diagnosis of damage in spiral bevel gear models using Lagrange-Wavelet method
Ngoc-Duong Nguyen, Hoa-Cuc. Nguyen, Tu A Huynh, et al.
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 11
Open Access
IoT-Based Adaptive Multiplication-Convolution Sparse Denoising for Equipment Edge Condition Evaluation
Qihang Wu, Xiaoxi Ding, Wenhao Cheng, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 18, pp. 29661-29672
Closed Access
Advancing Logistics Management: E3L-Net for Predictive Demand Analytics
Yao Lu
IEEE Access (2024) Vol. 12, pp. 114809-114819
Open Access
Analysis of Acceleration Data Using Low-Power Embedded Devices to Detect Gear Faults
Bernhard Rupprecht, Stefan Sendlbeck, Birgit Vogel‐Heuser, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2023), pp. 1-6
Closed Access | Times Cited: 1
Design and Experimental Evaluation of a Dual-Cantilever Piezoelectric Film Sensor with a Broadband Response and High Sensitivity
Wei Xin, Zhaoyang He, Chaocheng Zhao
Micromachines (2023) Vol. 14, Iss. 11, pp. 2108-2108
Open Access | Times Cited: 1
Gear Pitting Fault Detection: Leveraging Anomaly Detection Methods
Ozan Can Alper, Hatice Doğan, Hasan Öztürk
2021 13th International Conference on Electrical and Electronics Engineering (ELECO) (2023), pp. 1-5
Closed Access
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