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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:

Kalman Filter Assisted Deep Feature Learning for RUL Prediction of Hydraulic Gear Pump
Myeong-Seok Lee, Tanvir Alam Shifat, Jang-Wook Hur
IEEE Sensors Journal (2022) Vol. 22, Iss. 11, pp. 11088-11097
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A systematic review of data fusion techniques for optimized structural health monitoring
Sahar Hassani, Ulrike Dackermann, Mohsen Mousavi, et al.
Information Fusion (2023) Vol. 103, pp. 102136-102136
Open Access | Times Cited: 53
High imbalance fault diagnosis of aviation hydraulic pump based on data augmentation via local wavelet similarity fusion
Song Fu, Lin Lin, Yue Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111115-111115
Closed Access | Times Cited: 19
An Improved Generic Hybrid Prognostic Method for RUL Prediction Based on PF-LSTM Learning
Ke Xue, Jun Yang, Ming Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Closed Access | Times Cited: 31
Prognostics and Health Management of Rotating Machinery of Industrial Robot with Deep Learning Applications—A Review
Prashant Kumar, Salman Khalid, Heung Soo Kim
Mathematics (2023) Vol. 11, Iss. 13, pp. 3008-3008
Open Access | Times Cited: 24
Research on Parameter Identification and Fault Prediction Method of Hydraulic System in Intelligent Sensing Agriculture
Wenbo Liu, Zheng Jia-heng, Guangyu Shi, et al.
Measurement Sensors (2025), pp. 101813-101813
Open Access | Times Cited: 1
DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications
Song Fu, Limin Zou, Yue Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110246-110246
Closed Access | Times Cited: 6
A fault prognosis strategy for an external gear pump using Machine Learning algorithms and synthetic data generation methods
Kayal Lakshmanan, Fabrizio Tessicini, Antonio J. Gil, et al.
Applied Mathematical Modelling (2023) Vol. 123, pp. 348-372
Open Access | Times Cited: 15
A Review of Remaining Useful Life Prediction Approaches for Mechanical Equipment
Yangyang Zhang, Liqing Fang, Ziyuan Qi, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 29991-30006
Closed Access | Times Cited: 15
Health State Identification Method of Nuclear Power Main Circulating Pump Based on EEMD and OQGA-SVM
Zhilong Liu, Minggang Li, Zhifeng Zhu, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 410-410
Open Access | Times Cited: 14
Remaining Useful Life Prediction Method Based on Performance Trajectory Similarity and Transfer Fusion
Zhou An, Yujie Cheng, Dong Qian, et al.
Lecture notes in electrical engineering (2025), pp. 451-460
Closed Access
Application of physics-informed machine learning in performance degradation and RUL prediction of hydraulic piston pumps
Yadong Zhang, Shaoping Wang, Chao Zhang, et al.
Reliability Engineering & System Safety (2025), pp. 111108-111108
Closed Access
Current Status and Applications for Hydraulic Pump Fault Diagnosis: A Review
Yanfang Yang, Lei Ding, Jinhua Xiao, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9714-9714
Open Access | Times Cited: 21
A Robust Health Prognostics Technique for Failure Diagnosis and the Remaining Useful Lifetime Predictions of Bearings in Electric Motors
L. Magadán, Francisco J. Suárez, Juan C. Granda, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2220-2220
Open Access | Times Cited: 12
Wear of hydraulic pump with real particles and medium test dust
Nejc Novak, Ana Trajkovski, Marko Polajnar, et al.
Wear (2023) Vol. 532-533, pp. 205101-205101
Open Access | Times Cited: 11
A Review on Data-Driven Condition Monitoring of Industrial Equipment
Ruosen Qi, Jie Zhang, Katy Spencer
Algorithms (2022) Vol. 16, Iss. 1, pp. 9-9
Open Access | Times Cited: 18
A Feature Engineering-Assisted CM Technology for SMPS Output Aluminium Electrolytic Capacitors (AEC) Considering D-ESR-Q-Z Parameters
Akeem Bayo Kareem, Jang-Wook Hur
Processes (2022) Vol. 10, Iss. 6, pp. 1091-1091
Open Access | Times Cited: 10
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
Two-Stage Multi-Channel Fault Detection and Remaining Useful Life Prediction Model of Internal Gear Pumps Based on Robust-ResNet
Jianbo Zheng, Jian Liao, Yaqin Zhu
Sensors (2023) Vol. 23, Iss. 5, pp. 2395-2395
Open Access | Times Cited: 4
A lightweight high-impact acceleration state reconstruction method for multibody dynamic systems by an extended Kalman filter-aided time neural network
Xiang Ma, Shuran Zhang, Tong Tang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 31524-31537
Closed Access | Times Cited: 1
Switching Unscented Kalman Filters with Unknown Transition Probabilities for Remaining Useful Life Prediction of Bearings
Xiaodan Chen, Ke Li, Shaofan Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 20, pp. 32577-32595
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
A Multiclass Fault Diagnosis Framework Using Context-Based Multilayered Bayesian Method for Centrifugal Pumps
Sharanya Selvaraj, Balasubramanian Prabhu Kavin, C. Kavitha, et al.
Electronics (2022) Vol. 11, Iss. 23, pp. 4014-4014
Open Access | Times Cited: 4
Fault Diagnosis of Hydraulic Components Based on Multi-Sensor Information Fusion Using Improved TSO-CNN-BiLSTM
Da Zhang, Kun Zheng, Liu Fu-qi, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2661-2661
Open Access
A Two-phase Lifetime Prediction Model of Generator Stator Main Wall Insulation Driven by Digital Twin
Qin Zhang, Jianwei Wu, Jiajin Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access
Diagnostics and Prognostics in Power Plants: A systematic review
Wei Cheng, Hassaan Ahmad, Lin Gao, et al.
Reliability Engineering & System Safety (2024), pp. 110663-110663
Closed Access
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