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:

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

Showing 26-50 of 49 citing articles:

A comparative study on ML algorithms and ANN on fault diagnosis of a two-stage helical gearbox
T. Narendiranath Babu, Ayush Jain Kothari, D. Rama Prabha, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 9819-9840
Closed Access | Times Cited: 1

Differential Extraction and Experimental Validation of Essential Characteristics in Gear Faults
Wenzheng Liu, Rupeng Zhu, Hu Yu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 16419-16428
Closed Access | Times Cited: 1

Intelligent fault diagnosis of machinery based on hybrid deep learning with multi temporal correlation feature fusion
Yaqiong Lv, Xiaohu Zhang, Yiwei Cheng, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 6, pp. 3517-3536
Closed Access | Times Cited: 1

A data-physic driven method for gear fault diagnosis using PINN and pseudo-dynamic features
Yikun Yang, Xifeng Wang, Jinfeng Li, et al.
Measurement (2024) Vol. 236, pp. 115124-115124
Closed Access | Times Cited: 1

An Optimized Dynamic Model Improved Deep Discriminative Transfer Learning Network for Fault Detection in Rotation Vector Reducers
Hui Wang, Shuhui Wang, Ronggang Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110331-110331
Closed Access | Times Cited: 1

All time-scale decomposition method and its application in gear fault diagnosis
Zhengyang Cheng, Yu Yang, Niaoqing Hu, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1

An enhanced variational mode decomposition method for processing hydrodynamic data of underwater gliders
Guangwei Lyu, Chenyi Luo, Shangshang Wu, et al.
Measurement (2024) Vol. 244, pp. 116468-116468
Closed Access | Times Cited: 1

Transformer fault diagnosis based on probabilistic neural networks combined with vibration and noise characteristics
Xiu Zhou, Yan Luo, Tian Tian, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 4

Research on Comprehensive Operation and Maintenance Based on the Fault Diagnosis System of Combine Harvester
Weipeng Zhang, Bo Zhao, Liming Zhou, et al.
Agriculture (2022) Vol. 12, Iss. 6, pp. 893-893
Open Access | Times Cited: 7

Emergency Response Resource Allocation in Sparse Network Using Improved Particle Swarm Optimization
Yongqiang Zhang, Zhuang Hu, Min Zhang, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 16, pp. 10295-10295
Open Access | Times Cited: 7

Crankshaft HCF Research Based on the Simulation of Electromagnetic Induction Quenching Approach and a New Fatigue Damage Model
Songsong Sun, Weiqiang Liu, X. Zhang, et al.
Metals (2022) Vol. 12, Iss. 8, pp. 1296-1296
Open Access | Times Cited: 6

Dynamic Health Monitoring of Aero-Engine Gas-Path System Based on SFA-GMM-BID
Dewen Li, Yang Li, Tianci Zhang, et al.
Electronics (2023) Vol. 12, Iss. 14, pp. 3199-3199
Open Access | Times Cited: 3

Anomaly detection of industrial motors under few-shot feature conditions based on causality
Yuefeng Cen, Xucheng Li, Gang Cen, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125004-125004
Closed Access | Times Cited: 3

Bidimensional local characteristic-scale decomposition and its application in gear surface defect detection
Dongxu Liu, Junsheng Cheng, Zhantao Wu
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025115-025115
Closed Access | Times Cited: 3

A Dilated Convolution Neural Network for Gear Fault Diagnosis
Bin Han
(2023), pp. 1506-1510
Closed Access | Times Cited: 2

Gear fault diagnosis based on complex network theory and error-correcting output codes: Multi class support vector machine
Akhand Rai, Vishnu Priya Kapu, P. S. Balaji, et al.
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering (2024) Vol. 238, Iss. 6, pp. 1135-1152
Closed Access

A Data-Physic Driven Method for Gear Fault Diagnosis Using Pinn and Pseudo-Dynamic Features
Yikun Yang, Xifeng Wang, Jinfeng Li, et al.
(2024)
Closed Access

Diagnosis of faults using a new VMD-WMRA approach, optimized by a new criterion: Industrial application
Ammar Mrabti, Nouredine Ouelaa, Ramdane Younes, et al.
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 11
Open Access

Fault Diagnosis of Gear Pump Based on Cyclic Impulse Characteristic Decomposition
Tao Tian, Yanfeng Peng, Yanfei Liu, et al.
IEEE Sensors Journal (2024) Vol. 25, Iss. 4, pp. 6646-6658
Closed Access

Ensemble All Time-Scale Decomposition Method and Its Application in Bevel Gear Fault Diagnosis
Zhengyang Cheng, Yu Yang, Chen Duan, et al.
Sensors (2024) Vol. 25, Iss. 1, pp. 23-23
Open Access

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