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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:

Remaining Useful Life Prediction Based on the Bayesian Regularized Radial Basis Function Neural Network for an External Gear Pump
Rui Guo, Yongtao Li, Zhao Li-jiang, et al.
IEEE Access (2020) Vol. 8, pp. 107498-107509
Open Access | Times Cited: 18

Showing 18 citing articles:

A Systematic Guide for Predicting Remaining Useful Life with Machine Learning
Tarek Berghout, Mohamed Benbouzid
Electronics (2022) Vol. 11, Iss. 7, pp. 1125-1125
Open Access | Times Cited: 52
Remaining useful life prediction for stratospheric airships based on a channel and temporal attention network
Yunhua Luo, Ming Zhu, Tian Chen, et al.
Communications in Nonlinear Science and Numerical Simulation (2025), pp. 108634-108634
Closed Access | Times Cited: 1
Research progress and prospects of accelerated life testing and accelerated degradation testing for aviation fuel gear pump
Lihui An, Kang Luo, Jiangfeng Fu, et al.
Ranqi wolun shiyan yu yanjiu. (2025)
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
Research on Prediction Method of Gear Pump Remaining Useful Life Based on DCAE and Bi-LSTM
Chenyang Wang, Wanlu Jiang, Yi Yue, et al.
Symmetry (2022) Vol. 14, Iss. 6, pp. 1111-1111
Open Access | Times Cited: 16
On the Development and Performance Evaluation of Improved Radial Basis Function Neural Networks
Sashmita Panda, Ganapati Panda
IEEE Transactions on Systems Man and Cybernetics Systems (2021) Vol. 52, Iss. 6, pp. 3873-3884
Closed Access | Times Cited: 19
Research on Identification Method of Wear Degradation of External Gear Pump Based on Flow Field Analysis
Rui Guo, Yongtao Li, Yue Shi, et al.
Sensors (2020) Vol. 20, Iss. 14, pp. 4058-4058
Open Access | Times Cited: 19
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
Bayesian neural networks for uncertainty quantification in remaining useful life prediction of systems with sensor monitoring
Sunday Ochella, Fateme Dinmohammadi, M. Ehsan Shafiee
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 7
Open Access | Times Cited: 1
Remaining Useful Life Prediction of Gear Pump Based on Deep Sparse Autoencoders and Multilayer Bidirectional Long–Short–Term Memory Network
Peiyao Zhang, Wanlu Jiang, Xiaodong Shi, et al.
Processes (2022) Vol. 10, Iss. 12, pp. 2500-2500
Open Access | Times Cited: 3
A Review of State of the Art for Accelerated Testing in Fluid Power Pitch Systems
Diego Manuel Chamorro Ruz, Henrik C. Pedersen, Jesper Liniger, et al.
Wind (2024) Vol. 4, Iss. 3, pp. 208-226
Open Access
A Dataset and a Comparison of Classification Methods for Valve Plate Fault Prediction of Piston Pump
M. Rojek, Marcin Blachnik
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7183-7183
Open Access
A Review of State of the Art for Accelerated Testing in Fluid Power Pitch Systems
Diego Manuel Chamorro Ruz, Henrik C. Pedersen, Jesper Liniger, et al.
(2024)
Open Access
Machine Learning for Valve Plate Fault Prediction of Piston Pump
M. Rojek, Marcin Blachnik
(2024)
Open Access
USING MACHINE LEARNING METHODS TO PREDICT HYDRAULIC PUMP REMAINING USEFUL LIFE
A. M. Gareyev, Andrey Prokofiev, Yuliia Ryzhkova, et al.
Journal of Dynamics and Vibroacoustics (2021) Vol. 7, Iss. 3, pp. 13-21
Open Access | Times Cited: 1
ANALYSIS ON DEEP LEARNING AND ITS TYPES
A. LAKSHMI PRABA, Preethi Sambandam Raju
i-manager’s Journal on Software Engineering (2020) Vol. 15, Iss. 2, pp. 25-25
Closed Access
Investigations into the Recognisability of Gear Damage Sizes in Vibration Signals and Calculation of Appropriate Digital Filter Limits
Andreas Beering, Karl-Ludwig Krieger
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4216-4216
Open Access
Machine Learning Method for Predicting Remaining Useful Life of Hydraulic Equipment
А.М. Гареев, Е. В. Шахматов, А. Б. Прокофьев, et al.
Journal of Machinery Manufacture and Reliability (2022) Vol. 51, Iss. 3, pp. 253-260
Closed Access
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