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:

An intelligent bearing fault diagnosis framework: one-dimensional improved self-attention-enhanced CNN and empirical wavelet transform
Zhilin Dong, Dezun Zhao, Lingli Cui
Nonlinear Dynamics (2024) Vol. 112, Iss. 8, pp. 6439-6459
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions
Zhilin Dong, Yonghua Jiang, Weidong Jiao, et al.
Advanced Engineering Informatics (2025), pp. 103004-103004
Closed Access | Times Cited: 4

Rotating machinery fault classification based on one-dimensional residual network with attention mechanism and bidirectional gated recurrent unit
Zhilin Dong, Dezun Zhao, Lingli Cui
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086001-086001
Closed Access | Times Cited: 13

On modeling and damage detection methodologies in rotor systems
Rafath Abdul Nasar, Tariq Alzarooni, Mohammad A. AL-Shudeifat
Nonlinear Dynamics (2024) Vol. 112, Iss. 19, pp. 16657-16710
Open Access | Times Cited: 6

MSE-NERSPPNet: A Multi-Channel Framework for Bearing Fault Diagnosis in the Presence of Imbalanced Samples
D. Lin, Zhilin Dong, Jianfeng Sun, et al.
Research Square (Research Square) (2025)
Closed Access

Enhancing Subtle Features of Gas Detection Signals Using MFD_attention mechanism for Improved Detection in Complex Environments
Jingfeng Li, Zhenyu Yuan, Yannan Wang, et al.
Sensors and Actuators B Chemical (2025), pp. 137597-137597
Closed Access

Twins Transformer: Rolling Bearing Fault Diagnosis based on Cross-attention Fusion of Time and Frequency Domain Features
Zhikang Gao, Yanxue Wang, Xinming Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096113-096113
Closed Access | Times Cited: 4

Towards dual-perspective alignment: A novel hierarchical selective adversarial network for transfer fault diagnosis
Yansong Zhang, Xianfeng Yuan, Xilin Yang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103113-103113
Closed Access

Sequence-Aware Vision Transformer with Feature Fusion for Fault Diagnosis in Complex Industrial Processes
Zhong Zhang, Ming Xu, Song Wang, et al.
Entropy (2025) Vol. 27, Iss. 2, pp. 181-181
Open Access

Compressed Chromatographic Fingerprint of Artemisiae argyi Folium Empowered by 1D-CNN: Reduce Mobile Phase Consumption using Chemometric Algorithm
Wennan Nie, Jiahe Qian, Cunhao Li, et al.
Journal of Chromatography A (2025), pp. 465874-465874
Closed Access

KAN-HyperMP: An Enhanced Fault Diagnosis Model for Rolling Bearings in Noisy Environments
Jun Wang, Zhilin Dong, Shuang Zhang
Sensors (2024) Vol. 24, Iss. 19, pp. 6448-6448
Open Access | Times Cited: 3

Impact time domain decomposition: An adaptive decomposition method for multi-source impact signals based on envelope energy gradient characteristics
Yuyang Chen, Jinjie Zhang, Nanyang Zhao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 219, pp. 111637-111637
Closed Access | Times Cited: 2

GCN-Based LSTM Autoencoder with Self-Attention for Bearing Fault Diagnosis
Daehee Lee, Hyunseung Choo, Jongpil Jeong
Sensors (2024) Vol. 24, Iss. 15, pp. 4855-4855
Open Access | Times Cited: 2

A Novel Intelligent Fault Diagnosis Method for Bearings with Multi-Source Data and Improved GASA
Qingming Hu, Xinjie Fu, Yanqi Guan, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5285-5285
Open Access | Times Cited: 2

Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis
Yonghua Jiang, Zengjie Qiu, Linjie Zheng, et al.
Applied Acoustics (2024) Vol. 231, pp. 110442-110442
Closed Access | Times Cited: 2

High-dimensional extracting chirplet transform for fault diagnosis of wind turbines
Dezun Zhao, Honghao Wang, Tianyang Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 25404-25413
Closed Access | Times Cited: 1

MSTKernel Net: A Rolling Bearing Intelligent Diagnosis Framework Based on Short-Time Time-Frequency Convolution
Huilin Pan, Jiao Wei-dong, Zhilin Dong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116148-116148
Closed Access | Times Cited: 1

Fault diagnosis method for bearings under variable working conditions based on transfer relation network
ran zhang, Zhihong Zhao, Tao Xu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126202-126202
Closed Access | Times Cited: 1

Multi-fault bearing diagnosis under time-varying conditions using Empirical Wavelet Transform, Gaussian mixture model, and Random Forest classifier
Moussaoui Imane, Chemseddine Rahmoune, Moahmed Zair, et al.
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 8
Open Access | Times Cited: 1

SPRout-DBN:A Cross Domain Bearing Fault Diagnosis Method Based on Spatial Pyramid Pooling Residual Network-DBN
D. Lin, Jiao Wei-dong, Zhilin Dong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125020-125020
Closed Access | Times Cited: 1

An improved short-wave rail irregularity detection method based on frequency-related Recurrence Plot and Convolutional Neural Network
Zezhou Liu, Xuegeng Mao, Jinzhao Liu, et al.
Nonlinear Dynamics (2024)
Closed Access | Times Cited: 1

A data-driven hybrid sensor fault detection/diagnosis method with flight test data
Jinsheng Song, Ziqiao Chen, Dong Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076109-076109
Closed Access

Study on the Potential of New Load-Carrying Capacity Descriptions for the Service Life Calculations of Gears
Daniel Vietze, J. Pellkofer, Karsten Stahl
Machines (2024) Vol. 12, Iss. 5, pp. 304-304
Open Access

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