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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:

Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN
Zhenzhen Jin, Deqiang He, Zexian Wei
Engineering Applications of Artificial Intelligence (2022) Vol. 110, pp. 104713-104713
Closed Access | Times Cited: 188

Showing 1-25 of 188 citing articles:

A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Zhiqin Zhu, Yangbo Lei, Guanqiu Qi, et al.
Measurement (2022) Vol. 206, pp. 112346-112346
Closed Access | Times Cited: 283
Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment
Pengfei Liang, Wenhui Wang, Xiaoming Yuan, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105269-105269
Closed Access | Times Cited: 142
Intelligent fault diagnosis for rail transit switch machine based on adaptive feature selection and improved LightGBM
Zhenpeng Lao, Deqiang He, Zexian Wei, et al.
Engineering Failure Analysis (2023) Vol. 148, pp. 107219-107219
Closed Access | Times Cited: 64
Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing
Zexian Wei, Deqiang He, Zhenzhen Jin, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 6, pp. 6053-6064
Closed Access | Times Cited: 63
Few-shot fault diagnosis of turnout switch machine based on semi-supervised weighted prototypical network
Zhenpeng Lao, Deqiang He, Zhenzhen Jin, et al.
Knowledge-Based Systems (2023) Vol. 274, pp. 110634-110634
Closed Access | Times Cited: 48
Preventive maintenance optimization for key components of subway train bogie with consideration of failure risk
Haimeng Sun, Deqiang He, Jiecheng Zhong, et al.
Engineering Failure Analysis (2023) Vol. 154, pp. 107634-107634
Closed Access | Times Cited: 44
Critical penetrating vibration evolution behaviors of the gas-liquid coupled vortex flow
Lin Li, Qihan Li, Yesha Ni, et al.
Energy (2024) Vol. 292, pp. 130236-130236
Closed Access | Times Cited: 38
Temporal multi-resolution hypergraph attention network for remaining useful life prediction of rolling bearings
Jinxin Wu, Deqiang He, Jiayi Li, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110143-110143
Closed Access | Times Cited: 29
RTSMFFDE-HKRR: A fault diagnosis method for train bearing in noise environment
Deqiang He, Zhihao Zhang, Zhenzhen Jin, et al.
Measurement (2024) Vol. 239, pp. 115417-115417
Closed Access | Times Cited: 25
Investigation on the Lubrication Heat Transfer Mechanism of the Multilevel Gearbox by the Lattice Boltzmann Method
Qihan Li, Pu Xu, Lin Li, et al.
Processes (2024) Vol. 12, Iss. 2, pp. 381-381
Open Access | Times Cited: 23
Fault detection and diagnosis of marine diesel engines: A systematic review
Yaqiong Lv, Xueting Yang, Yifan Li, et al.
Ocean Engineering (2024) Vol. 294, pp. 116798-116798
Closed Access | Times Cited: 22
Investigations of the Formation Mechanism and Pressure Pulsation Characteristics of Pipeline Gas-Liquid Slug Flows
Gaoan Zheng, Pu Xu, Lin Li, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 4, pp. 590-590
Open Access | Times Cited: 18
Investigate on the Fluid Dynamics and Heat Transfer Behavior in an Automobile Gearbox Based on the LBM-LES Model
Gaoan Zheng, Pu Xu, Lin Li
Lubricants (2025) Vol. 13, Iss. 3, pp. 117-117
Open Access | Times Cited: 2
AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions
Deqiang He, Jinxin Wu, Zhenzhen Jin, et al.
Reliability Engineering & System Safety (2025), pp. 110907-110907
Closed Access | Times Cited: 1
Train bearing fault diagnosis based on multi-sensor data fusion and dual-scale residual network
Deqiang He, Zhenpeng Lao, Zhenzhen Jin, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 16, pp. 14901-14924
Closed Access | Times Cited: 31
Nonstationary significant wave height forecasting with a hybrid VMD-CNN model
Jianing Zhang, Xiangyu Xin, Yuchen Shang, et al.
Ocean Engineering (2023) Vol. 285, pp. 115338-115338
Closed Access | Times Cited: 31
Rolling bearing faults identification based on multiscale singular value
Mingyue Yu, Yi Zhang, Chunxue Yang
Advanced Engineering Informatics (2023) Vol. 57, pp. 102040-102040
Closed Access | Times Cited: 25
Early bearing fault diagnosis for imbalanced data in offshore wind turbine using improved deep learning based on scaled minimum unscented kalman filter
Haihong Tang, Kun Zhang, Bing Wang, et al.
Ocean Engineering (2024) Vol. 300, pp. 117392-117392
Closed Access | Times Cited: 11
A deep reinforcement learning-based intelligent fault diagnosis framework for rolling bearings under imbalanced datasets
Yonghua Li, Yipeng Wang, Xing Zhao, et al.
Control Engineering Practice (2024) Vol. 145, pp. 105845-105845
Closed Access | Times Cited: 9
Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit
Jinxin Wu, Deqiang He, Zhenzhen Jin, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123091-123091
Closed Access | Times Cited: 8
The parameter identification of metro rail corrugation based on effective signal extraction and inertial reference method
Haimeng Sun, Deqiang He, Hailong Ma, et al.
Engineering Failure Analysis (2024) Vol. 158, pp. 108043-108043
Closed Access | Times Cited: 8
Multiscale Channel Attention-Driven Graph Dynamic Fusion Learning Method for Robust Fault Diagnosis
Xin Zhang, Jie Liu, Xi Zhang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 9, pp. 11002-11013
Closed Access | Times Cited: 8
Bearing Fault Diagnosis Based on VMD and Improved CNN
Zhenzhen Jin, Chen Diao, Deqiang He, et al.
Journal of Failure Analysis and Prevention (2022) Vol. 23, Iss. 1, pp. 165-175
Closed Access | Times Cited: 36
Optimized Ship-Radiated Noise Feature Extraction Approaches Based on CEEMDAN and Slope Entropy
Yuxing Li, Bingzhao Tang, Shangbin Jiao
Entropy (2022) Vol. 24, Iss. 9, pp. 1265-1265
Open Access | Times Cited: 32
Early intelligent fault diagnosis of rotating machinery based on IWOA-VMD and DMKELM
Zhenzhen Jin, Deqiang He, Zhenpeng Lao, et al.
Nonlinear Dynamics (2022) Vol. 111, Iss. 6, pp. 5287-5306
Closed Access | Times Cited: 29
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