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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:

Latest developments in gear defect diagnosis and prognosis: A review
Anil Kumar, C.P. Gandhi, Yuqing Zhou, et al.
Measurement (2020) Vol. 158, pp. 107735-107735
Closed Access | Times Cited: 191

Showing 1-25 of 191 citing articles:

Fault detection of wind turbine based on SCADA data analysis using CNN and LSTM with attention mechanism
Ling Xiang, Penghe Wang, Xin Yang, et al.
Measurement (2021) Vol. 175, pp. 109094-109094
Closed Access | Times Cited: 268
Improved deep convolution neural network (CNN) for the identification of defects in the centrifugal pump using acoustic images
Anil Kumar, C.P. Gandhi, Yuqing Zhou, et al.
Applied Acoustics (2020) Vol. 167, pp. 107399-107399
Closed Access | Times Cited: 141
Novel Convolutional Neural Network (NCNN) for the Diagnosis of Bearing Defects in Rotary Machinery
Anil Kumar, Govind Vashishtha, C.P. Gandhi, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 137
Machinery Fault Diagnosis Based on Domain Adaptation to Bridge the Gap Between Simulation and Measured Signals
Yunxia Lou, Anil Kumar, Jiawei Xiang
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-9
Closed Access | Times Cited: 87
State-space modeling and novel entropy-based health indicator for dynamic degradation monitoring of rolling element bearing
Anil Kumar, Chander Parkash, Govind Vashishtha, et al.
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108356-108356
Closed Access | Times Cited: 73
A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models
Fahad Alharbi, Suhuai Luo, Hongyu Zhang, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1902-1902
Open Access | Times Cited: 44
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: 18
A systematic literature review of deep learning for vibration-based fault diagnosis of critical rotating machinery: Limitations and challenges
Omri Matania, Itai Dattner, Jacob Bortman, et al.
Journal of Sound and Vibration (2024) Vol. 590, pp. 118562-118562
Closed Access | Times Cited: 15
Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump
Anil Kumar, Hesheng Tang, Govind Vashishtha, et al.
Mechanical Systems and Signal Processing (2021) Vol. 165, pp. 108366-108366
Closed Access | Times Cited: 79
Challenges and solutions in condition-based maintenance implementation - A multiple case study
Emilia Ingemarsdotter, Marianna Lena Kambanou, Ella Jamsin, et al.
Journal of Cleaner Production (2021) Vol. 296, pp. 126420-126420
Open Access | Times Cited: 67
Mechanical fault detection based on machine learning for robotic RV reducer using electrical current signature analysis: a data-driven approach
Izaz Raouf, Hyewon Lee, Heung Soo Kim
Journal of Computational Design and Engineering (2022) Vol. 9, Iss. 2, pp. 417-433
Open Access | Times Cited: 67
Small sample fault diagnosis method for wind turbine gearbox based on optimized generative adversarial networks
Yuanhao Su, Liang Meng, Xiaojia Kong, et al.
Engineering Failure Analysis (2022) Vol. 140, pp. 106573-106573
Closed Access | Times Cited: 51
Gear fault diagnosis based on CS-improved variational mode decomposition and probabilistic neural network
Ying Lin, Maohua Xiao, Huijia Liu, et al.
Measurement (2022) Vol. 192, pp. 110913-110913
Closed Access | Times Cited: 49
Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy
Govind Vashishtha, Sumika Chauhan, Surinder Kumar, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 110984-110984
Open Access | Times Cited: 38
Non-parametric Ensemble Empirical Mode Decomposition for extracting weak features to identify bearing defects
Anil Kumar, Yaakoub Berrouche, Radosław Zimroz, et al.
Measurement (2023) Vol. 211, pp. 112615-112615
Open Access | Times Cited: 36
Implicit Kalman filtering method for remaining useful life prediction of rolling bearing with adaptive detection of degradation stage transition point
Guofa Li, Jingfeng Wei, Jialong He, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109269-109269
Closed Access | Times Cited: 33
A systematic review on failure modes and proposed methodology to artificially seed faults for promoting PHM studies in laboratory environment for an industrial gearbox
Priyom Goswami, Rajiv Nandan
Engineering Failure Analysis (2023) Vol. 146, pp. 107076-107076
Closed Access | Times Cited: 31
Interactive channel attention for rotating component fault detection with strong noise and limited data
Jianguo Miao, Congying Deng, Heng Zhang, et al.
Applied Soft Computing (2023) Vol. 138, pp. 110171-110171
Closed Access | Times Cited: 26
Signal Processing for the Condition-Based Maintenance of Rotating Machines via Vibration Analysis: A Tutorial
Omri Matania, Lior Bachar, Eric Bechhoefer, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 454-454
Open Access | Times Cited: 8
Synchrosqueezing extracting transform and its application in bearing fault diagnosis under non-stationary conditions
Qi Liu, Yanxue Wang, Yonggang Xu
Measurement (2020) Vol. 173, pp. 108569-108569
Closed Access | Times Cited: 56
Improved CNN for the diagnosis of engine defects of 2-wheeler vehicle using wavelet synchro-squeezed transform (WSST)
Anil Kumar, Chander Parkash, Yuqing Zhou, et al.
Knowledge-Based Systems (2020) Vol. 208, pp. 106453-106453
Closed Access | Times Cited: 54
Unsupervised machine fault diagnosis for noisy domain adaptation using marginal denoising autoencoder based on acoustic signals
Dengyu Xiao, Chengjin Qin, Honggan Yu, et al.
Measurement (2021) Vol. 176, pp. 109186-109186
Closed Access | Times Cited: 50
Improved Generative Adversarial Network for Rotating Component Fault Diagnosis in Scenarios With Extremely Limited Data
Jianguo Miao, Jianyu Wang, Dingcheng Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-13
Closed Access | Times Cited: 48
Remain useful life prediction of rolling bearings based on exponential model optimized by gradient method
Gang Wang, Jiawei Xiang
Measurement (2021) Vol. 176, pp. 109161-109161
Closed Access | Times Cited: 45
Sparse transfer learning for identifying rotor and gear defects in the mechanical machinery
Anil Kumar, Govind Vashishtha, Chander Parkash, et al.
Measurement (2021) Vol. 179, pp. 109494-109494
Closed Access | Times Cited: 41
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