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:

A literature review of fault diagnosis based on ensemble learning
Zhibao Mian, Xiaofei Deng, Xiaohui Dong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107357-107357
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

A parallel deep neural network for intelligent fault diagnosis of drilling pumps
Junyu Guo, Yulai Yang, He Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108071-108071
Open Access | Times Cited: 39
MEXFIC: A meta ensemble eXplainable approach for AI-synthesized fake image classification
Md. Tanvir Islam, Ik Hyun Lee, Ahmed Ibrahim Alzahrani, et al.
Alexandria Engineering Journal (2025) Vol. 116, pp. 351-363
Closed Access | Times Cited: 1
A lightweight progressive joint transfer ensemble network inspired by the Markov process for imbalanced mechanical fault diagnosis
Changdong Wang, Jingli Yang, Huamin Jie, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111994-111994
Closed Access | Times Cited: 13
Fault diagnosis for cross-building energy systems based on transfer learning and model interpretation
Liang Chen, Guannan Li, Jiangyan Liu, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109424-109424
Closed Access | Times Cited: 11
Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments
Yan Zhang, Changqing Shen, Juanjuan Shi, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111679-111679
Closed Access | Times Cited: 10
Transformer fault diagnosis method based on SMOTE and NGO-GBDT
Lizhong Wang, Jianfei Chi, Ye-qiang Ding, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Contributions of artificial intelligence and digitization in achieving clean and affordable energy
Omojola Awogbemi, Daramy Vandi Von Kallon, K. Sunil Kumar
Intelligent Systems with Applications (2024) Vol. 22, pp. 200389-200389
Open Access | Times Cited: 9
Deep learning and data augmentation for partial discharge detection in electrical machines
Andreas Rauscher, Johannes W. Kaiser, Manoj Devaraju, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108074-108074
Open Access | Times Cited: 7
Enhancing network intrusion detection: a dual-ensemble approach with CTGAN-balanced data and weak classifiers
Mohammad Reza Abbaszadeh Bavil Soflaei, Arash Salehpour, Karim Samadzamini
The Journal of Supercomputing (2024) Vol. 80, Iss. 11, pp. 16301-16333
Closed Access | Times Cited: 7
Fault diagnosis method of PEMFC system based on ensemble learning
Xuexia Zhang, Lishuo Peng, Fei He, et al.
International Journal of Hydrogen Energy (2024) Vol. 69, pp. 1501-1510
Closed Access | Times Cited: 6
Enhancing Autonomous System Security and Resilience With Generative AI: A Comprehensive Survey
Martin Andreoni Lopez, Willian T. Lunardi, George Lawton, et al.
IEEE Access (2024) Vol. 12, pp. 109470-109493
Open Access | Times Cited: 6
A Diagnostic Curve for Online Fault Detection in AC Drives
Natalia Koteleva, Н. А. Королев
Energies (2024) Vol. 17, Iss. 5, pp. 1234-1234
Open Access | Times Cited: 5
Enhancing vehicle fault diagnosis through multi-view sound analysis: integrating scalograms and spectrograms in a deep learning framework
Ferit Akbalık, Abdulnasır Yildiz, Ömer Faruk Ertuğrul, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 1
Closed Access
Fault diagnosis of a CNC Hobbing Cutter through Machine Learning using three axis vibration data
Nagesh Tambake, Bhagyesh Deshmukh, Sujit S. Pardeshi, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41637-e41637
Open Access
Barabási-albert model-enhanced genetic algorithm for optimizing LGBM in ship power grid fault diagnosis
Kangzheng Huang, Wei Bo Li, Feng Gao
Measurement (2025), pp. 116954-116954
Closed Access
Deep Learning Innovations in the Detection of Lung Cancer: Advances, Trends, and Open Challenges
Helena Liz, Áurea Anguera de Sojo-Hernández, Sergio D’Antonio Maceiras, et al.
Cognitive Computation (2025) Vol. 17, Iss. 2
Open Access
Framework for investigating structure cracking using real engineering data combined with physics constraints
Han Si, Qiang Wang, Xin Ruan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Learning a Factorized Orthogonal Latent Space using Encoder-only Architecture for Fault Detection: An Alarm Management Perspective
Vahid MohammadZadeh Eivaghi, Mahdi Aliyari Shoorehdeli
Process Safety and Environmental Protection (2025), pp. 106942-106942
Closed Access
Micro-thruster Fault Classification of Drag-Free Spacecraft Using Deep Neural Network
Zhibo Liang, Xiaodong Shao, Yongxia Shi, et al.
Lecture notes in electrical engineering (2025), pp. 236-245
Closed Access
Recent Progress in Digital Twin-Driven Fault Diagnosis of Rotating Machinery：A Comprehensive Review
Zhang Pengbo, Renxiang Chen, Lixia Yang, et al.
Neurocomputing (2025), pp. 129914-129914
Closed Access
Robust battery state of charge estimation incorporating modified correntropy Kalman filter with adaptive kernel width and weighted multi-innovation compensation
Zheng Liu, Lingtiao Yao, Wenjing Huang, et al.
Energy (2025), pp. 135514-135514
Closed Access
Vibration signal analysis for rolling bearings faults diagnosis based on deep-shallow features fusion
Ahmed Chennana, Ahmed Chaouki Megherbi, Noureddine Bessous, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Machine learning for monitoring hobbing tool health in CNC hobbing machine
Nagesh Tambake, Bhagyesh Deshmukh, Sujit S. Pardeshi, et al.
Frontiers in Materials (2024) Vol. 11
Open Access | Times Cited: 4
A fault diagnosis method for hydraulic system based on multi-branch neural networks
Huizhou Liu, Shibo Yan, Mengxing Huang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109188-109188
Closed Access | Times Cited: 4
A Hierarchical Ensemble Learning Approach for Cable Network Impairment Diagnosis
Rocco Cassandro, Jason Rupe, Zhaojun Li
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23068-23079
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top