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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:

A nearly end-to-end deep learning approach to fault diagnosis of wind turbine gearboxes under nonstationary conditions
Liangwei Zhang, Qi Fan, Jing Lin, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105735-105735
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine
Te Han, Wenzhen Xie, Zhongyi Pei
Information Sciences (2023) Vol. 648, pp. 119496-119496
Closed Access | Times Cited: 122
Deep Learning for Enhanced Fault Diagnosis of Monoblock Centrifugal Pumps: Spectrogram-Based Analysis
Prasshanth Chennai Viswanathan, Naveen Venkatesh Sridharan, Seshathiri Dhanasekaran, et al.
Machines (2023) Vol. 11, Iss. 9, pp. 874-874
Open Access | Times Cited: 41
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions
Yongchao Zhang, Jinliang Ding, Yongbo Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108236-108236
Closed Access | Times Cited: 41
Reliability analysis of wind turbine gearboxes: past, progress and future prospects
Debiao Meng, Peng Nie, Shiyuan Yang, et al.
International Journal of Structural Integrity (2025)
Closed Access | Times Cited: 1
A new adaptive multi-scale attention adversarial network for cross-domain fault diagnosis
Lingtan Kong, Jinrui Wang, Dawei Wang, et al.
Knowledge-Based Systems (2025), pp. 113066-113066
Closed Access | Times Cited: 1
A new multi-sensor fusion with hybrid Convolutional Neural Network with Wiener model for remaining useful life estimation
Long Wen, Shaoquan Su, Wang Bin, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106934-106934
Closed Access | Times Cited: 31
WSAFormer-DFFN: A model for rotating machinery fault diagnosis using 1D window-based multi-head self-attention and deep feature fusion network
Qingzhe Wei, Xincheng Tian, Long Cui, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106633-106633
Closed Access | Times Cited: 30
A unified out-of-distribution detection framework for trustworthy prognostics and health management in renewable energy systems
Wenzhen Xie, Te Han, Zhongyi Pei, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106707-106707
Closed Access | Times Cited: 23
Fault diagnosis of wind turbine gearbox under limited labeled data through temporal predictive and similarity contrast learning embedded with self-attention mechanism
Yunyi Zhu, Bin Xie, Anqi Wang, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123080-123080
Closed Access | Times Cited: 22
Cross-domain few-shot fault diagnosis based on meta-learning and domain adversarial graph convolutional network
Junwei Hu, Weigang Li, Yong Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108970-108970
Closed Access | Times Cited: 13
Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Chuancang Ding, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102538-102538
Closed Access | Times Cited: 12
Multivariate multi-scale cross-fuzzy entropy and SSA-SVM-based fault diagnosis method of gearbox
Shuangshan Hou, Jinde Zheng, Haiyang Pan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056102-056102
Open Access | Times Cited: 7
A performance-interpretable intelligent fusion of sound and vibration signals for bearing fault diagnosis via dynamic CAME
You Keshun, Lian Zengwei, Yingkui Gu
Nonlinear Dynamics (2024) Vol. 112, Iss. 23, pp. 20903-20940
Closed Access | Times Cited: 7
Generative adversarial networks driven by multi-domain information for improving the quality of generated samples in fault diagnosis
Zhijun Ren, Dawei Gao, Yongsheng Zhu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106542-106542
Closed Access | Times Cited: 20
Dynamic model-driven intelligent fault diagnosis method for rotary vector reducers
Junkang Zheng, Hui Wang, Anil Kumar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106648-106648
Closed Access | Times Cited: 20
A deep convolutional neural network for vibration-based health-monitoring of rotating machinery
Pauline Ong, Yean Keong Tan, Kee Huong Lai, et al.
Decision Analytics Journal (2023) Vol. 7, pp. 100219-100219
Open Access | Times Cited: 17
Fault diagnosis of a wave energy converter gearbox based on an Adam optimized CNN-LSTM algorithm
Jichuan Kang, Xu Zhu, Shen Li, et al.
Renewable Energy (2024) Vol. 231, pp. 121022-121022
Open Access | Times Cited: 6
An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery
Jipu Li, Xiaoge Zhang, Ke Yue, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123836-123836
Closed Access | Times Cited: 5
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection
Seunghwan Song, Kyuchang Chang, Cheolsoon Park, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access
Electrical submersible pump fault diagnosis based on 2D transformation of vibration signals and transfer learning of image classification networks
Luciano Henrique Peixoto da Silva, Alexandre Rodrigues, Flávio Miguel Varejão, et al.
Neural Computing and Applications (2025)
Closed Access
Heterogeneous vibration data preprocessing method for fault detection
Donatien Claeyssens, Dorsaf Zekri, David M. Thierry, et al.
Procedia Computer Science (2025) Vol. 253, pp. 2127-2136
Open Access
Improved deep transfer learning and transmission error based method for gearbox fault diagnosis with limited test samples
Hongbo Yang, Zeyu Wang, Miao Xu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112593-112593
Closed Access
A structurally re-parameterized convolution neural network-based method for gearbox fault diagnosis in edge computing scenarios
Yanzhi Wang, Jinhong Wu, Ziyang Yu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107091-107091
Closed Access | Times Cited: 14
A Novel Spiking Graph Attention Network for Intelligent Fault Diagnosis of Planetary Gearboxes
Shunxin Cao, Hongkun Li, Kongliang Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13140-13154
Closed Access | Times Cited: 13
Self-supervised learning-based dual-classifier domain adaptation model for rolling bearings cross-domain fault diagnosis
Quan Jiang, Xiaoshan Lin, Xingchi Lu, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111229-111229
Closed Access | Times Cited: 13
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