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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:

Hybrid deep transfer learning architecture for industrial fault diagnosis using Hilbert transform and DCNN–LSTM
Mahe Zabin, Ho‐Jin Choi, Jia Uddin
The Journal of Supercomputing (2022) Vol. 79, Iss. 5, pp. 5181-5200
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan, Ahmed Abdulkadir, Paul-Philipp Luley, et al.
IEEE Access (2024) Vol. 12, pp. 3768-3789
Open Access | Times Cited: 40
Deep Transfer Learning Models for Industrial Fault Diagnosis Using Vibration and Acoustic Sensors Data: A Review
Md Roman Bhuiyan, Jia Uddin
Vibration (2023) Vol. 6, Iss. 1, pp. 218-238
Open Access | Times Cited: 38
A survey of multimodal hybrid deep learning for computer vision: Architectures, applications, trends, and challenges
Khaled Bayoudh
Information Fusion (2023) Vol. 105, pp. 102217-102217
Closed Access | Times Cited: 32
Simplified Knowledge Distillation for Deep Neural Networks Bridging the Performance Gap with a Novel Teacher–Student Architecture
Sabina Umirzakova, Mirjamol Abdullaev, Sevara Mardieva, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4530-4530
Open Access | Times Cited: 6
Large scale foundation models for intelligent manufacturing applications: a survey
Haotian Zhang, Stuart Dereck Semujju, Zhicheng Wang, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
Cloud-based AIoT intelligent infrastructure for firefighting pump fault diagnosis-based hybrid CNN-GRU deep learning technique
Da-Thao Nguyen, Phuong Nguyen Thanh, Ming-Yuan Cho
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
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
Few-Shot Lightweight SqueezeNet Architecture for Induction Motor Fault Diagnosis Using Limited Thermal Image Dataset
Farhan Md. Siraj, Syed Tasnimul Karim Ayon, Md Abdus Samad, et al.
IEEE Access (2024) Vol. 12, pp. 50986-50997
Open Access | Times Cited: 3
Robust and Lightweight Deep Learning Model for Industrial Fault Diagnosis in Low-Quality and Noisy Data
Jaegwang Shin, Suan Lee
Electronics (2023) Vol. 12, Iss. 2, pp. 409-409
Open Access | Times Cited: 7
A dynamics simulation-assisted transfer learning method for track condition diagnosis in urban rail transits
Yaoxiang Yu, Tao Luo, Liang Guo, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 2
Fault Classification in Diesel Engines Based on Time-Domain Responses through Signal Processing and Convolutional Neural Network
Gabriel Hasmann Freire Moraes, Ronny Francis Ribeiro, Guilherme Ferreira Gomes
Vibration (2024) Vol. 7, Iss. 4, pp. 863-893
Open Access | Times Cited: 2
Intelligent Analysis of Vibration Faults in Hydroelectric Generating Units Based on Empirical Mode Decomposition
Hong Tian, Lijing Yang, Peng Ji
Processes (2023) Vol. 11, Iss. 7, pp. 2040-2040
Open Access | Times Cited: 5
A fault diagnosis method for few-shot industrial processes based on semantic segmentation and hybrid domain transfer learning
Ying Tian, Yiwei Wang, Xin Peng, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28268-28290
Closed Access | Times Cited: 5
基于MATCN的光纤周界入侵信号识别方法
尚秋峰 Shang Qiufeng, 黄达 Huang Da
Acta Optica Sinica (2023) Vol. 43, Iss. 20, pp. 2006006-2006006
Open Access | Times Cited: 5
Machine Fault Diagnosis Using EMD-Gammatone Texture Representation and A Lightweight Self-Attention SqueezeNet
Mahe Zabin, Anika Nahian Binte Kabir, Muhammad Khubayeeb Kabir, et al.
(2024), pp. 32-39
Closed Access | Times Cited: 1
Hilbert signal envelope-based multi-features methods for GNSS spoofing detection
Xiaoyan Wang, Jingjing Yang, Zixiao Peng, et al.
Computers & Security (2024) Vol. 144, pp. 103959-103959
Closed Access | Times Cited: 1
Fault diagnosis method for Small modular reactor based on transfer learning and an improved DCNN model
Jie Ma, Peng Qiao, Gang Zhou, et al.
Nuclear Engineering and Design (2023) Vol. 417, pp. 112859-112859
Open Access | Times Cited: 4
CNN Based Image Classification of Malicious UAVs
Jason Brown, Zahra Gharineiat, Nawin Raj
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 240-240
Open Access | Times Cited: 7
Gradient-Oriented Prioritization in Meta-Learning for Enhanced Few-Shot Fault Diagnosis in Industrial Systems
Dexin Sun, Yunsheng Fan, Guofeng Wang
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 181-181
Open Access | Times Cited: 3
Fusion of Audio and Vibration Signals for Bearing Fault Diagnosis Based on a Quadratic Convolution Neural Network
Yan Jin, Jianbin Liao, Jinyi Gao, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9155-9155
Open Access | Times Cited: 2
A Deep Transfer Learning Model for the Fault Diagnosis of Double Roller Bearing Using Scattergram Filter Bank 1
Mohsin Hassan Albdery, István Szabó
Vibration (2024) Vol. 7, Iss. 2, pp. 521-559
Open Access
A Multi-Scale Convolutional Neural Network with Self-Knowledge Distillation for Bearing Fault Diagnosis
Jiamao Yu, Hexuan Hu
Machines (2024) Vol. 12, Iss. 11, pp. 792-792
Open Access
Anomalous sound detection for machine condition monitoring using 3D tensor representation of sound and 3D deep convolutional neural network
Mohsen Khanjari, Azita Azarfar, Mohamad Hosseini Abardeh, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 44101-44119
Closed Access | Times Cited: 1
A Few-Shot Learning Based Fault Diagnosis Model Using Sensors Data from Industrial Machineries
Farhan Md. Siraj, Syed Tasnimul Karim Ayon, Jia Uddin
Vibration (2023) Vol. 6, Iss. 4, pp. 1004-1029
Open Access | Times Cited: 1
A Comparative Analysis of Deep Learning and Hybrid Models to Diagnose Multi-Class Skin Cancer
Ishrat Nur Nawrin, Tonusree Talukder Trina, Rafeed Rahman, et al.
(2023) Vol. 4, pp. 1-6
Open Access
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