Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 51-75 of 369 citing articles:

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
Predictive Health Monitoring of Induction Motors Using 1D Convolutional Neural Network
D. Suganya, R. Rajavel, A.K. Lakshminarayanan
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 1
Closed Access
Hardware implementation of a high-resolution auto-tuned time-frequency signal analyzer over TMS320C6713 DSK using a compact support polynomial kernel
Ibrahim Lantri, Mansour Abed, Adel Belouchrani
Microprocessors and Microsystems (2025) Vol. 113, pp. 105141-105141
Closed Access
Condition Based Monitoring of Rolling Bearing by Naive Bayes Classifier
Sujit Kumar, Alka Kumari, Durgesh Nandani, et al.
Lecture notes in electrical engineering (2025), pp. 589-599
Closed Access
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
Statistical batch-based bearing fault detection
Victoria Siriaki Jorry, Zina-Sabrina Duma, Tuomas Sihvonen, et al.
Journal of Mathematics in Industry (2025) Vol. 15, Iss. 1
Open Access
Scalable bearing fault diagnosis using metaheuristic feature selection and machine learning for diverse operating conditions
B. R. Nayana, R. Subha, Rekha Radhakrishnan, et al.
Systems Science & Control Engineering (2025) Vol. 13, Iss. 1
Open Access
Towards soft real-time fault diagnosis for edge devices in industrial IoT using deep domain adaptation training strategy
Dileep Kumar, Sanaullah Mehran, Kapal Dev, et al.
Journal of Parallel and Distributed Computing (2021) Vol. 160, pp. 90-99
Closed Access | Times Cited: 33
Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain
Mohammed Hakim, Abdoulhdi A. Borhana Omran, Jawaid I. Inayat-Hussain, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5793-5793
Open Access | Times Cited: 26
A Transfer Learning Framework with a One-Dimensional Deep Subdomain Adaptation Network for Bearing Fault Diagnosis under Different Working Conditions
Ruixin Zhang, Yu Gu
Sensors (2022) Vol. 22, Iss. 4, pp. 1624-1624
Open Access | Times Cited: 25
LightGBM-Based Fault Diagnosis of Rotating Machinery Under Changing Working Conditions Using Modified Recursive Feature Elimination
Alireza Saberi, Anouar Belahcen, Jan Sobra, et al.
IEEE Access (2022) Vol. 10, pp. 81910-81925
Open Access | Times Cited: 24
A Real-Time Bearing Fault Diagnosis Model Based on Siamese Convolutional Autoencoder in Industrial Internet of Things
Hexuan Hu, Chengcheng Cao, Qiang Hu, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 3, pp. 3820-3831
Closed Access | Times Cited: 14
A novel framework based on adaptive Multi-Task learning for bearing fault diagnosis
Jierui Zhang, Jianjun Chen, Huiwen Deng, et al.
Energy Reports (2023) Vol. 9, pp. 522-531
Open Access | Times Cited: 13
Incrementally Contrastive Learning of Homologous and Interclass Features for the Fault Diagnosis of Rolling Element Bearings
Chuan Li, Xiaotong Lei, Yunwei Huang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 11182-11191
Closed Access | Times Cited: 12
Transfer Learning Enabled Bearing Fault Detection Methods Based on Image Representations of Single-Dimensional Signals
Bilgin Umut Deveci, Mert Celtikoglu, Özlem Albayrak, et al.
Information Systems Frontiers (2023) Vol. 26, Iss. 4, pp. 1345-1397
Open Access | Times Cited: 12
A Comparative Analysis of Deep Learning Convolutional Neural Network Architectures for Fault Diagnosis of Broken Rotor Bars in Induction Motors
Kevin Barrera, Jordi Burriel-Valencia, Ángel Sapena-Bañó, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8196-8196
Open Access | Times Cited: 12
Shine: A deep learning-based accessible parking management system
Dhiraj Neupane, Aashish Bhattarai, Sunil Aryal, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122205-122205
Open Access | Times Cited: 12
Fault Diagnosis Using Imbalanced Data of Rolling Bearings Based on a Deep Migration Model
Haitao Wang, Xiheng Zhang
IEEE Access (2024) Vol. 12, pp. 5517-5533
Open Access | Times Cited: 4
A hybrid fault diagnosis method for rolling bearings based on GGRU-1DCNN with AdaBN algorithm under multiple load conditions
Lirong Sun, Xiaomin Zhu, Jiannan Xiao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076201-076201
Closed Access | Times Cited: 4
FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification
Anthony Y. Zhou, Amir Barati Farimani
IEEE Access (2024) Vol. 12, pp. 70719-70728
Open Access | Times Cited: 4
Integrating adversarial training strategies into deep autoencoders: A novel aeroengine anomaly detection framework
Lin Lin, Lizheng Zu, Fu Song, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108856-108856
Closed Access | Times Cited: 4
ClinClip: a Multimodal Language Pre-training model integrating EEG data for enhanced English medical listening assessment
Guangyu Sun
Frontiers in Neuroscience (2025) Vol. 18
Open Access
Fault Diagnosis Model via Vibration Signal Analysis With an Improved BKA‐VMD and CNN‐TELM Hybrid Framework
Jingzong Yang, Xuefeng Li, Min Mao
Energy Science & Engineering (2025)
Open Access
Investigating the Effect of Vibration Signal Length on Bearing Fault Classification Using Wavelet Scattering Transform
Suparerk Janjarasjitt
Sensors (2025) Vol. 25, Iss. 3, pp. 699-699
Open Access
VibrMamba: A lightweight Mamba based fault diagnosis of rotating machinery using vibration signal
Haiming Yi, Danyu Li, Zhenyong Lu, et al.
Measurement (2025), pp. 116881-116881
Closed Access

Scroll to top