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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 positive energy residual (PER) based planetary gear fault detection method under variable speed conditions
Jung‐Ho Park, Moussa Hamadache, Jong Moon Ha, et al.
Mechanical Systems and Signal Processing (2018) Vol. 117, pp. 347-360
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

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
Explicit speed-integrated LSTM network for non-stationary gearbox vibration representation and fault detection under varying speed conditions
Yuejian Chen, Xuemei Liu, Meng Rao, et al.
Reliability Engineering & System Safety (2024), pp. 110596-110596
Closed Access | Times Cited: 16
A comprehensive review of artificial intelligence-based approaches for rolling element bearing PHM: shallow and deep learning
Moussa Hamadache, Joon Ha Jung, Jung‐Ho Park, et al.
JMST Advances (2019) Vol. 1, Iss. 1-2, pp. 125-151
Open Access | Times Cited: 132
Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed
Anil Kumar, Govind Vashishtha, Chander Parkash, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 104, pp. 104401-104401
Closed Access | Times Cited: 62
A time series model-based method for gear tooth crack detection and severity assessment under random speed variation
Yuejian Chen, Stephan Schmidt, P. Stephan Heyns, et al.
Mechanical Systems and Signal Processing (2021) Vol. 156, pp. 107605-107605
Open Access | Times Cited: 59
Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation
Wei Teng, Xian Ding, Shiyao Tang, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1686-1686
Open Access | Times Cited: 56
Prognostics and Health Management of the Robotic Servo-Motor under Variable Operating Conditions
Hyewon Lee, Izaz Raouf, Jinwoo Song, et al.
Mathematics (2023) Vol. 11, Iss. 2, pp. 398-398
Open Access | Times Cited: 22
Phase-based time domain averaging (PTDA) for fault detection of a gearbox in an industrial robot using vibration signals
Yunhan Kim, Jung‐Ho Park, Kyumin Na, et al.
Mechanical Systems and Signal Processing (2019) Vol. 138, pp. 106544-106544
Closed Access | Times Cited: 66
Motor-current-based electromagnetic interference de-noising method for rolling element bearing diagnosis using acoustic emission sensors
Su J. Kim, Keunsu Kim, Taewan Hwang, et al.
Measurement (2022) Vol. 193, pp. 110912-110912
Closed Access | Times Cited: 33
Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery
Wo Jae Lee, Kevin Xia, Nancy Denton, et al.
Journal of Intelligent Manufacturing (2020) Vol. 32, Iss. 2, pp. 393-406
Closed Access | Times Cited: 41
A health-adaptive time-scale representation (HTSR) embedded convolutional neural network for gearbox fault diagnostics
Yunhan Kim, Kyumin Na, Byeng D. Youn
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108575-108575
Closed Access | Times Cited: 35
Significance of multi-level fusion in multi-component fault diagnosis under speed varying condition in rotational machinery
M. Saimurugan, S. Sowmya, Immanuel Edinbarough
FME Transaction (2025) Vol. 53, Iss. 1, pp. 15-30
Open Access
IoT Sensors in a Wireless Environment for Healthcare Monitoring: A Framework for Fault Detection
Altaf O. Mulani, Kutubuddin Sayyad Liyakat Kazi, Nilima S. Warade, et al.
Journal of Pharmacology and Pharmacotherapeutics (2025)
Closed Access
Planetary gear fault diagnosis using stacked denoising autoencoder and gated recurrent unit neural network under noisy environment and time-varying rotational speed conditions
Jun Yu, Yonggang Xu, Ke Liu
Measurement Science and Technology (2019) Vol. 30, Iss. 9, pp. 095003-095003
Closed Access | Times Cited: 37
Remaining Useful Life Estimation of BLDC Motor Considering Voltage Degradation and Attention-Based Neural Network
Tanvir Alam Shifat, Jang-Wook Hur
IEEE Access (2020) Vol. 8, pp. 168414-168428
Open Access | Times Cited: 33
Cepstrum-assisted empirical wavelet transform (CEWT)-based improved demodulation analysis for fault diagnostics of planetary gearboxes
Yunhan Kim, Jong Moon Ha, Kyumin Na, et al.
Measurement (2021) Vol. 183, pp. 109796-109796
Closed Access | Times Cited: 30
A deep transferable motion-adaptive fault detection method for industrial robots using a residual–convolutional neural network
Yeongtak Oh, Yunhan Kim, Kyumin Na, et al.
ISA Transactions (2021) Vol. 128, pp. 521-534
Closed Access | Times Cited: 24
Nonlinear spectrum feature fusion diagnosis method for RV reducer of industrial robots
Yuting Qiao, Hongbo Wang, Junyi Cao, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110750-110750
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
Vibration modulation features analysis of fixed-shaft gear train considering speed fluctuation and flexible transmission path based on signal convolution model
Fei Jiang, Yong Zhu, Jinglun Liang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111250-111250
Closed Access | Times Cited: 3
New method for power allocation of multi-power sources considering speed-up transient vibration of planetary power-split HEVs driveline system
Feng Wang, Jian Zhang, Xing Xu, et al.
Mechanical Systems and Signal Processing (2019) Vol. 128, pp. 1-18
Closed Access | Times Cited: 24
An image-based feature extraction method for fault diagnosis of variable-speed rotating machinery
Jung Ho Park, Yunhan Kim, Kyumin Na, et al.
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108524-108524
Closed Access | Times Cited: 18
Diesel Engine Fault Prediction Using Artificial Intelligence Regression Methods
Denys Pestana Viana, Dionísio Henrique Carvalho de Sá Só Martins, Amaro A. de Lima, et al.
Machines (2023) Vol. 11, Iss. 5, pp. 530-530
Open Access | Times Cited: 7
Variance of energy residual (VER): An efficient method for planetary gear fault detection under variable-speed conditions
Jung‐Ho Park, Yunhan Kim, Kyumin Na, et al.
Journal of Sound and Vibration (2019) Vol. 453, pp. 253-267
Closed Access | Times Cited: 22
Real-time novelty detection of an industrial gas turbine using performance deviation model and extreme function theory
Xiwen Gu, Shixi Yang, Yongfeng Sui, et al.
Measurement (2021) Vol. 178, pp. 109339-109339
Open Access | Times Cited: 14
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